|
1
|
Belotserkovsky I, Stabryla LM, Hunter M, Allegretti J, Callahan BJ, Carlson PE, Daschner PJ, Goudarzi M, Guyard C, Jackson SA, Rao K, Servetas SL, Sokol H, Wargo JA, Novick S. Standards for fecal microbiota transplant: Tools and therapeutic advances. Biologicals 2024; 86:101758. [PMID: 38518435 DOI: 10.1016/j.biologicals.2024.101758] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2023] [Accepted: 03/04/2024] [Indexed: 03/24/2024] Open
Abstract
Fecal microbiota transplantation (FMT) has been demonstrated to be efficacious in preventing recurrent Clostridioides difficile (C. difficile) infections, and is being investigated for treatment of several other diseases including inflammatory bowel disease, cancer, obesity, liver disease, and diabetes. To speed up the translation of FMT into clinical practice as a safe and standardized therapeutic intervention, additional evidence-based technical and regulatory guidance is needed. To this end in May of 2022, the International Alliance for Biological Standardization (IABS) and the BIOASTER Microbiology Technology Institute hosted a second webinar to discuss key issues still impeding the advancement and standardization of FMT. The goal of this two-day webinar was to provide a forum for scientific experts to share and discuss data and key challenges with one another. Discussion included a focus on the evaluation of safety, efficacy, clinical trial design, reproducibility and accuracy in obtained microbiome measurements and data reporting, and the potential for standardization across these areas. It also focused on increasing the application potential and visibility of FMT beyond treating C. difficile infections.
Collapse
Affiliation(s)
| | - Lisa M Stabryla
- Complex Microbial Systems Group, Biosystems and Biomaterials Division, National Institute of Standards and Technology, Gaithersburg, MD, USA
| | - Monique Hunter
- Complex Microbial Systems Group, Biosystems and Biomaterials Division, National Institute of Standards and Technology, Gaithersburg, MD, USA
| | - Jessica Allegretti
- Division of Gastroenterology, Hepatology, and Endoscopy, Brigham and Women's Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA
| | - Benjamin J Callahan
- Bioinformatics Research Center, North Carolina State University, Raleigh, 27606, USA; Department of Population Health and Pathobiology, North Carolina State University, Raleigh, 27607, USA
| | - Paul E Carlson
- Laboratory of Mucosal Pathogens and Cellular Immunology, Division of Bacterial, Parasitic, and Allergenic Products, Office of Vaccines Research and Review, Center for Biologics Evaluation and Research, Food and Drug Administration, Silver Spring, MD, USA
| | - Phillip J Daschner
- Division of Cancer Biology, National Cancer Institute, Bethesda, MD, USA
| | | | - Cyril Guyard
- BIOSTER Technological Research Institute, Lyon, France
| | - Scott A Jackson
- Complex Microbial Systems Group, Biosystems and Biomaterials Division, National Institute of Standards and Technology, Gaithersburg, MD, USA
| | - Krishna Rao
- Department of Internal Medicine, Division of Infectious Diseases, University of Michigan Medical School, Ann Arbor, MI, USA
| | - Stephanie L Servetas
- Complex Microbial Systems Group, Biosystems and Biomaterials Division, National Institute of Standards and Technology, Gaithersburg, MD, USA
| | - Harry Sokol
- Assistance Publique des Hôpitaux de Paris, Saint-Antoine Hospital, Gastroenterology Department, Paris, France
| | - Jennifer A Wargo
- Departments of Surgical Oncology and Genomic Medicine, The University of Texas, MD Anderson Cancer Center, Houston, TX, USA
| | - Shawn Novick
- BioPhia Consulting, Inc., 7307 W. Green Lake Dr. N., Seattle, WA, 98103, USA.
| |
Collapse
|
|
2
|
Gauglitz JM, West KA, Bittremieux W, Williams CL, Weldon KC, Panitchpakdi M, Di Ottavio F, Aceves CM, Brown E, Sikora NC, Jarmusch AK, Martino C, Tripathi A, Meehan MJ, Dorrestein K, Shaffer JP, Coras R, Vargas F, Goldasich LD, Schwartz T, Bryant M, Humphrey G, Johnson AJ, Spengler K, Belda-Ferre P, Diaz E, McDonald D, Zhu Q, Elijah EO, Wang M, Marotz C, Sprecher KE, Vargas-Robles D, Withrow D, Ackermann G, Herrera L, Bradford BJ, Marques LMM, Amaral JG, Silva RM, Veras FP, Cunha TM, Oliveira RDR, Louzada-Junior P, Mills RH, Piotrowski PK, Servetas SL, Da Silva SM, Jones CM, Lin NJ, Lippa KA, Jackson SA, Daouk RK, Galasko D, Dulai PS, Kalashnikova TI, Wittenberg C, Terkeltaub R, Doty MM, Kim JH, Rhee KE, Beauchamp-Walters J, Wright KP, Dominguez-Bello MG, Manary M, Oliveira MF, Boland BS, Lopes NP, Guma M, Swafford AD, Dutton RJ, Knight R, Dorrestein PC. Author Correction: Enhancing untargeted metabolomics using metadata-based source annotation. Nat Biotechnol 2023; 41:1656. [PMID: 37853256 DOI: 10.1038/s41587-023-02025-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2023]
Affiliation(s)
- Julia M Gauglitz
- Collaborative Mass Spectrometry Innovation Center, University of California San Diego, La Jolla, CA, USA
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA, USA
| | - Kiana A West
- Collaborative Mass Spectrometry Innovation Center, University of California San Diego, La Jolla, CA, USA
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA, USA
| | - Wout Bittremieux
- Collaborative Mass Spectrometry Innovation Center, University of California San Diego, La Jolla, CA, USA
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA, USA
| | - Candace L Williams
- Beckman Center for Conservation Research, San Diego Zoo Wildlife Alliance, Escondido, CA, USA
| | - Kelly C Weldon
- Collaborative Mass Spectrometry Innovation Center, University of California San Diego, La Jolla, CA, USA
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA, USA
- Center for Microbiome Innovation, Joan and Irwin Jacobs School of Engineering, University of California San Diego, La Jolla, CA, USA
| | - Morgan Panitchpakdi
- Collaborative Mass Spectrometry Innovation Center, University of California San Diego, La Jolla, CA, USA
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA, USA
| | - Francesca Di Ottavio
- Collaborative Mass Spectrometry Innovation Center, University of California San Diego, La Jolla, CA, USA
| | - Christine M Aceves
- Collaborative Mass Spectrometry Innovation Center, University of California San Diego, La Jolla, CA, USA
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA, USA
| | - Elizabeth Brown
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA, USA
- Division of Biological Sciences, University of California San Diego, La Jolla, CA, USA
| | - Nicole C Sikora
- Collaborative Mass Spectrometry Innovation Center, University of California San Diego, La Jolla, CA, USA
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA, USA
| | - Alan K Jarmusch
- Collaborative Mass Spectrometry Innovation Center, University of California San Diego, La Jolla, CA, USA
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA, USA
| | - Cameron Martino
- Center for Microbiome Innovation, Joan and Irwin Jacobs School of Engineering, University of California San Diego, La Jolla, CA, USA
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, CA, USA
- Bioinformatics and Systems Biology Program, University of California San Diego, La Jolla, CA, USA
| | - Anupriya Tripathi
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA, USA
- Division of Biological Sciences, University of California San Diego, La Jolla, CA, USA
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Michael J Meehan
- Collaborative Mass Spectrometry Innovation Center, University of California San Diego, La Jolla, CA, USA
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA, USA
| | - Kathleen Dorrestein
- Collaborative Mass Spectrometry Innovation Center, University of California San Diego, La Jolla, CA, USA
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA, USA
| | - Justin P Shaffer
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Roxana Coras
- Division of Rheumatology, Allergy & Immunology, Department of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Fernando Vargas
- Collaborative Mass Spectrometry Innovation Center, University of California San Diego, La Jolla, CA, USA
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA, USA
- Division of Biological Sciences, University of California San Diego, La Jolla, CA, USA
| | | | - Tara Schwartz
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, CA, USA
| | - MacKenzie Bryant
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Gregory Humphrey
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Abigail J Johnson
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, USA
| | - Katharina Spengler
- Collaborative Mass Spectrometry Innovation Center, University of California San Diego, La Jolla, CA, USA
| | - Pedro Belda-Ferre
- Center for Microbiome Innovation, Joan and Irwin Jacobs School of Engineering, University of California San Diego, La Jolla, CA, USA
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Edgar Diaz
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Daniel McDonald
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Qiyun Zhu
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Emmanuel O Elijah
- Collaborative Mass Spectrometry Innovation Center, University of California San Diego, La Jolla, CA, USA
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA, USA
| | - Mingxun Wang
- Collaborative Mass Spectrometry Innovation Center, University of California San Diego, La Jolla, CA, USA
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA, USA
| | - Clarisse Marotz
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Kate E Sprecher
- Department of Integrative Physiology, University of Colorado Boulder, Boulder, CO, USA
- Department of Population Health Sciences, University of Wisconsin-Madison, Madison, WI, USA
| | - Daniela Vargas-Robles
- Servicio Autónomo Centro Amazónico de Investigación y Control de Enfermedades Tropicales Simón Bolívar, Puerto Ayacucho, Amazonas, Venezuela
| | - Dana Withrow
- Department of Integrative Physiology, University of Colorado Boulder, Boulder, CO, USA
| | - Gail Ackermann
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Lourdes Herrera
- Department of Pediatrics, Billings Clinic, Billings, MT, USA
| | - Barry J Bradford
- Department of Animal Science, Michigan State University, East Lansing, MI, USA
| | - Lucas Maciel Mauriz Marques
- Department of Pharmacology, Ribeirão Preto Medicinal School, Center of Research in Inflammatory Diseases, University of São Paulo, Ribeirão Preto, Sao Paolo, Brazil
| | - Juliano Geraldo Amaral
- Multidisciplinary Health Institute, Federal University of Bahia, Vitória da Conquista, Bahia, Brazil
| | - Rodrigo Moreira Silva
- NPPNS, Department of Biomolecular Sciences, School of Pharmaceutical Sciences of Ribeirão Preto, University of São Paulo, Ribeirão Preto, Sao Paolo, Brazil
| | - Flavio Protasio Veras
- Department of Pharmacology, Ribeirão Preto Medicinal School, Center of Research in Inflammatory Diseases, University of São Paulo, Ribeirão Preto, Sao Paolo, Brazil
| | - Thiago Mattar Cunha
- Department of Pharmacology, Ribeirão Preto Medicinal School, Center of Research in Inflammatory Diseases, University of São Paulo, Ribeirão Preto, Sao Paolo, Brazil
| | - Rene Donizeti Ribeiro Oliveira
- Department of Internal Medicine, Ribeirão Preto Medical School, Center of Research in Inflammatory Diseases, University of São Paulo, Ribeirão Preto, Sao Paolo, Brazil
| | - Paulo Louzada-Junior
- Department of Internal Medicine, Ribeirão Preto Medical School, Center of Research in Inflammatory Diseases, University of São Paulo, Ribeirão Preto, Sao Paolo, Brazil
| | - Robert H Mills
- Collaborative Mass Spectrometry Innovation Center, University of California San Diego, La Jolla, CA, USA
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA, USA
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, CA, USA
- Department of Pharmacology, University of California San Diego, La Jolla, CA, USA
| | - Paulina K Piotrowski
- Material Measurement Laboratory, National Institute of Standards and Technology, Gaithersburg, MD, USA
| | - Stephanie L Servetas
- Material Measurement Laboratory, National Institute of Standards and Technology, Gaithersburg, MD, USA
| | - Sandra M Da Silva
- Material Measurement Laboratory, National Institute of Standards and Technology, Gaithersburg, MD, USA
| | - Christina M Jones
- Material Measurement Laboratory, National Institute of Standards and Technology, Gaithersburg, MD, USA
| | - Nancy J Lin
- Material Measurement Laboratory, National Institute of Standards and Technology, Gaithersburg, MD, USA
| | - Katrice A Lippa
- Material Measurement Laboratory, National Institute of Standards and Technology, Gaithersburg, MD, USA
| | - Scott A Jackson
- Material Measurement Laboratory, National Institute of Standards and Technology, Gaithersburg, MD, USA
| | - Rima Kaddurah Daouk
- Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, Durham, NC, USA
- Department of Medicine, Duke University, Durham, NC, USA
- Duke Institute of Brain Sciences, Duke University, Durham, NC, USA
| | - Douglas Galasko
- Department of Neurosciences, University of California San Diego, La Jolla, CA, USA
| | - Parambir S Dulai
- Division of Gastroenterology, Department of Medicine, University of California San Diego, La Jolla, CA, USA
| | | | - Curt Wittenberg
- Department of Molecular Medicine, The Scripps Research Institute, La Jolla, CA, USA
| | - Robert Terkeltaub
- Division of Rheumatology, Allergy & Immunology, Department of Medicine, University of California San Diego, La Jolla, CA, USA
- San Diego VA Healthcare System, San Diego, CA, USA
| | - Megan M Doty
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, CA, USA
- Division of Neonatology, Department of Pediatrics, Kapi'olani Medical Center for Women and Children, John A. Burns School of Medicine, Honolulu, Hawaii, USA
| | - Jae H Kim
- Division of Neonatology, Perinatal Institute, Department of Pediatrics, Cincinnati Children's Hospital Medical Center, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Kyung E Rhee
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Julia Beauchamp-Walters
- Division of Pediatric Hospital Medicine, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Kenneth P Wright
- Department of Integrative Physiology, University of Colorado Boulder, Boulder, CO, USA
| | - Maria Gloria Dominguez-Bello
- Department of Biochemistry and Microbiology, School of Environmental and Biological Sciences; Rutgers, The State University of New Jersey, New Brunswick, NJ, USA
| | - Mark Manary
- Department of Pediatrics, Washington University, St. Louis, MO, USA
| | - Michelli F Oliveira
- Department of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Brigid S Boland
- Division of Gastroenterology, Department of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Norberto Peporine Lopes
- NPPNS, Department of Biomolecular Sciences, School of Pharmaceutical Sciences of Ribeirão Preto, University of São Paulo, Ribeirão Preto, Sao Paolo, Brazil
| | - Monica Guma
- Division of Rheumatology, Allergy & Immunology, Department of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Austin D Swafford
- Center for Microbiome Innovation, Joan and Irwin Jacobs School of Engineering, University of California San Diego, La Jolla, CA, USA
| | - Rachel J Dutton
- Division of Biological Sciences, University of California San Diego, La Jolla, CA, USA
| | - Rob Knight
- Center for Microbiome Innovation, Joan and Irwin Jacobs School of Engineering, University of California San Diego, La Jolla, CA, USA.
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, CA, USA.
- Department of Medicine, University of California San Diego, La Jolla, CA, USA.
- Department of Computer Science and Engineering, University of California San Diego, La Jolla, CA, USA.
- Department of Bioengineering, University of California San Diego, La Jolla, CA, USA.
| | - Pieter C Dorrestein
- Collaborative Mass Spectrometry Innovation Center, University of California San Diego, La Jolla, CA, USA.
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA, USA.
- Center for Microbiome Innovation, Joan and Irwin Jacobs School of Engineering, University of California San Diego, La Jolla, CA, USA.
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, CA, USA.
- Department of Pharmacology, University of California San Diego, La Jolla, CA, USA.
| |
Collapse
|
|
3
|
Green SJ, Torok T, Allen JE, Eloe-Fadrosh E, Jackson SA, Jiang SC, Levine SS, Levy S, Schriml LM, Thomas WK, Wood JM, Tighe SW. Metagenomic Methods for Addressing NASA's Planetary Protection Policy Requirements on Future Missions: A Workshop Report. Astrobiology 2023; 23:897-907. [PMID: 37102710 PMCID: PMC10457625 DOI: 10.1089/ast.2022.0044] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/10/2022] [Accepted: 01/23/2023] [Indexed: 06/19/2023]
Abstract
Molecular biology methods and technologies have advanced substantially over the past decade. These new molecular methods should be incorporated among the standard tools of planetary protection (PP) and could be validated for incorporation by 2026. To address the feasibility of applying modern molecular techniques to such an application, NASA conducted a technology workshop with private industry partners, academics, and government agency stakeholders, along with NASA staff and contractors. The technical discussions and presentations of the Multi-Mission Metagenomics Technology Development Workshop focused on modernizing and supplementing the current PP assays. The goals of the workshop were to assess the state of metagenomics and other advanced molecular techniques in the context of providing a validated framework to supplement the bacterial endospore-based NASA Standard Assay and to identify knowledge and technology gaps. In particular, workshop participants were tasked with discussing metagenomics as a stand-alone technology to provide rapid and comprehensive analysis of total nucleic acids and viable microorganisms on spacecraft surfaces, thereby allowing for the development of tailored and cost-effective microbial reduction plans for each hardware item on a spacecraft. Workshop participants recommended metagenomics approaches as the only data source that can adequately feed into quantitative microbial risk assessment models for evaluating the risk of forward (exploring extraterrestrial planet) and back (Earth harmful biological) contamination. Participants were unanimous that a metagenomics workflow, in tandem with rapid targeted quantitative (digital) PCR, represents a revolutionary advance over existing methods for the assessment of microbial bioburden on spacecraft surfaces. The workshop highlighted low biomass sampling, reagent contamination, and inconsistent bioinformatics data analysis as key areas for technology development. Finally, it was concluded that implementing metagenomics as an additional workflow for addressing concerns of NASA's robotic mission will represent a dramatic improvement in technology advancement for PP and will benefit future missions where mission success is affected by backward and forward contamination.
Collapse
Affiliation(s)
- Stefan J. Green
- Genomics and Microbiome Core Facility, Rush University Medical Center, Chicago, Illinois, USA
| | - Tamas Torok
- Ecology Department, Lawrence Berkeley National Laboratory, Berkeley, California, USA
| | | | - Emiley Eloe-Fadrosh
- DOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, California, USA
| | - Scott A. Jackson
- National Institute of Standards and Technology, Gaithersburg, Maryland, USA
| | - Sunny C. Jiang
- Department of Civil and Environmental Engineering, University of California, Irvine, California, USA
| | - Stuart S. Levine
- MIT BioMicro Center, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
| | - Shawn Levy
- HudsonAlpha Institute for Biotechnology, Huntsville, Alabama, USA
| | - Lynn M. Schriml
- Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - W. Kelley Thomas
- Hubbard Center for Genome Studies, University of New Hampshire, Durham, New Hampshire, USA
| | - Jason M. Wood
- Research Informatics Core, University of Illinois at Chicago, Chicago, Illinois, USA
| | - Scott W. Tighe
- Vermont Integrative Genomics, University of Vermont, Burlington, Vermont, USA
| |
Collapse
|
|
4
|
Jackson SA, Eklund RC, Gordon A, Norsworthy C, Houge Mackenzie S, Hodge K, Stephen SA. Flow and outdoor adventure recreation: Using flow measures to re-examine motives for participation. Psychol Sport Exerc 2023; 67:102427. [PMID: 37665880 DOI: 10.1016/j.psychsport.2023.102427] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/07/2021] [Revised: 02/13/2023] [Accepted: 03/16/2023] [Indexed: 09/06/2023]
Abstract
Adventure participants have traditionally been viewed as having thrill or risk-seeking motives, and this perception remains despite empirical research suggesting that other motives may drive participation. This study was conducted to extend understanding of participation motives of adventure recreation participants in relation to Csiksentmihalyi's nine-dimension model of flow and other proposed motivational constructs. Participants (n = 199) who had typically engaged in their adventure recreation activity (i.e., highlining, rock climbing, downhill mountain biking, freefalling, snow sports) regularly, and with considerable competence, took part in this investigation by completing self-report measures of dispositional flow (The Dispositional Flow Scale; DFS-2), state flow (The Short Flow State Scale; SFSS), and participation motives in their adventure recreation environments. Support was observed in confirmatory factor analytic procedures for the factorial validity of DFS-2 and SFSS data obtained from adventure recreation participants. Mean scores from measures on participant experience of flow in adventure recreation were generally found to be significantly higher than previously observed in other physical activity domains, with some differences also being observed among adventure recreation subgroups. Contrary to traditional explanations of adventure recreation participation, risk-seeking was not supported as a key underlying motive by participants in this study. Mastery of one's adventure recreation activity, perceived connection to one's activity, and trust in one's skills, were identified as important participation motives. This study demonstrated that the DFS-2 and SFSS were able to satisfactorily assess flow constructs in adventure recreation, and supported recent research demonstrating flow to be a relevant experience to this setting. The implications of these findings for theory, practice, and future research directions in adventure recreation are discussed.
Collapse
Affiliation(s)
| | - R C Eklund
- College of Education, Florida State University, USA
| | - A Gordon
- Department of Emergency Medicine, University of New Mexico Health Science Center, USA
| | - C Norsworthy
- School of Human Sciences, University of Western Australia, Australia
| | | | - K Hodge
- School of Physical Education, Sport and Exercise Sciences, University of Otago, Dunedin, New Zealand
| | - S A Stephen
- Faculty of Health Sciences and Sport, University of Stirling, UK
| |
Collapse
|
|
5
|
Hughes RL, Frankenfeld CL, Gohl DM, Huttenhower C, Jackson SA, Vandeputte D, Vogtmann E, Comstock SS, Kable ME. Methods in Nutrition & Gut Microbiome Research: An American Society for Nutrition Satellite Session [13 October 2022]. Nutrients 2023; 15:nu15112451. [PMID: 37299414 DOI: 10.3390/nu15112451] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2023] [Revised: 05/14/2023] [Accepted: 05/19/2023] [Indexed: 06/12/2023] Open
Abstract
The microbial cells colonizing the human body form an ecosystem that is integral to the regulation and maintenance of human health. Elucidation of specific associations between the human microbiome and health outcomes is facilitating the development of microbiome-targeted recommendations and treatments (e.g., fecal microbiota transplant; pre-, pro-, and post-biotics) to help prevent and treat disease. However, the potential of such recommendations and treatments to improve human health has yet to be fully realized. Technological advances have led to the development and proliferation of a wide range of tools and methods to collect, store, sequence, and analyze microbiome samples. However, differences in methodology at each step in these analytic processes can lead to variability in results due to the unique biases and limitations of each component. This technical variability hampers the detection and validation of associations with small to medium effect sizes. Therefore, the American Society for Nutrition (ASN) Nutritional Microbiology Group Engaging Members (GEM), sponsored by the Institute for the Advancement of Food and Nutrition Sciences (IAFNS), hosted a satellite session on methods in nutrition and gut microbiome research to review currently available methods for microbiome research, best practices, as well as tools and standards to aid in comparability of methods and results. This manuscript summarizes the topics and research discussed at the session. Consideration of the guidelines and principles reviewed in this session will increase the accuracy, precision, and comparability of microbiome research and ultimately the understanding of the associations between the human microbiome and health.
Collapse
Affiliation(s)
| | | | - Daryl M Gohl
- University of Minnesota Genomics Center, Minneapolis, MN 55455, USA
- Department of Genetics, Cell Biology, and Developmental Biology, University of Minnesota, Minneapolis, MN 55455, USA
| | - Curtis Huttenhower
- Department of Biostatistics and Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Harvard Chan Microbiome in Public Health Center, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Scott A Jackson
- Complex Microbial Systems Group, Biosystems and Biomaterials Division, National Institute of Standards and Technology, Gaithersburg, MD 20899, USA
| | - Doris Vandeputte
- Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY 14850, USA
| | - Emily Vogtmann
- Metabolic Epidemiology Branch, Division of Cancer Epidemiology & Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Sarah S Comstock
- Department of Food Science and Human Nutrition, Michigan State University, East Lansing, MI 48824, USA
| | - Mary E Kable
- USDA-ARS Western Human Nutrition Research Center, University of California-Davis, Davis, CA 95616, USA
| |
Collapse
|
|
6
|
Bellucci E, Benazzo A, Xu C, Bitocchi E, Rodriguez M, Alseekh S, Di Vittori V, Gioia T, Neumann K, Cortinovis G, Frascarelli G, Murube E, Trucchi E, Nanni L, Ariani A, Logozzo G, Shin JH, Liu C, Jiang L, Ferreira JJ, Campa A, Attene G, Morrell PL, Bertorelle G, Graner A, Gepts P, Fernie AR, Jackson SA, Papa R. Selection and adaptive introgression guided the complex evolutionary history of the European common bean. Nat Commun 2023; 14:1908. [PMID: 37019898 PMCID: PMC10076260 DOI: 10.1038/s41467-023-37332-z] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2022] [Accepted: 03/14/2023] [Indexed: 04/07/2023] Open
Abstract
Domesticated crops have been disseminated by humans over vast geographic areas. Common bean (Phaseolus vulgaris L.) was introduced in Europe after 1492. Here, by combining whole-genome profiling, metabolic fingerprinting and phenotypic characterisation, we show that the first common bean cultigens successfully introduced into Europe were of Andean origin, after Francisco Pizarro's expedition to northern Peru in 1529. We reveal that hybridisation, selection and recombination have shaped the genomic diversity of the European common bean in parallel with political constraints. There is clear evidence of adaptive introgression into the Mesoamerican-derived European genotypes, with 44 Andean introgressed genomic segments shared by more than 90% of European accessions and distributed across all chromosomes except PvChr11. Genomic scans for signatures of selection highlight the role of genes relevant to flowering and environmental adaptation, suggesting that introgression has been crucial for the dissemination of this tropical crop to the temperate regions of Europe.
Collapse
Affiliation(s)
- Elisa Bellucci
- Department of Agricultural, Food and Environmental Sciences, Marche Polytechnic University, 60131, Ancona, Italy
| | - Andrea Benazzo
- Department of Life Sciences and Biotechnology, University of Ferrara, 44121, Ferrara, Italy
| | - Chunming Xu
- Center for Applied Genetic Technologies, University of Georgia, 30602, Athens, GA, USA
| | - Elena Bitocchi
- Department of Agricultural, Food and Environmental Sciences, Marche Polytechnic University, 60131, Ancona, Italy
| | - Monica Rodriguez
- Department of Agriculture, University of Sassari, 07100, Sassari, Italy
- Centro per la Conservazione e Valorizzazione della Biodiversità Vegetale-CBV, Università degli Studi di Sassari, 07041, Alghero, Italy
| | - Saleh Alseekh
- Max Planck Institute of Molecular Plant Physiology (MPI-MP), 14476, Potsdam-Golm, Germany
- Center for Plant Systems Biology and Plant Biotechnology, 4000, Plovdiv, Bulgaria
| | - Valerio Di Vittori
- Department of Agricultural, Food and Environmental Sciences, Marche Polytechnic University, 60131, Ancona, Italy
- Max Planck Institute of Molecular Plant Physiology (MPI-MP), 14476, Potsdam-Golm, Germany
| | - Tania Gioia
- School of Agricultural, Forestry, Food and Environmental Sciences, University of Basilicata, 85100, Potenza, Italy
| | - Kerstin Neumann
- Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), 06466, Seeland, Germany
| | - Gaia Cortinovis
- Department of Agricultural, Food and Environmental Sciences, Marche Polytechnic University, 60131, Ancona, Italy
| | - Giulia Frascarelli
- Department of Agricultural, Food and Environmental Sciences, Marche Polytechnic University, 60131, Ancona, Italy
| | - Ester Murube
- Department of Agricultural, Food and Environmental Sciences, Marche Polytechnic University, 60131, Ancona, Italy
| | - Emiliano Trucchi
- Department of Life Sciences and Biotechnology, University of Ferrara, 44121, Ferrara, Italy
- Department of Life and Environmental Sciences, Marche Polytechnic University, 60131, Ancona, Italy
| | - Laura Nanni
- Department of Agricultural, Food and Environmental Sciences, Marche Polytechnic University, 60131, Ancona, Italy
| | - Andrea Ariani
- Department of Plant Sciences, University of California, 95616-8780, Davis, CA, USA
| | - Giuseppina Logozzo
- School of Agricultural, Forestry, Food and Environmental Sciences, University of Basilicata, 85100, Potenza, Italy
| | - Jin Hee Shin
- Center for Applied Genetic Technologies, University of Georgia, 30602, Athens, GA, USA
| | - Chaochih Liu
- Department of Agronomy and Plant Genetics, University of Minnesota, St. Paul, MN, 55108-6026, USA
| | - Liang Jiang
- Max Planck Institute of Molecular Plant Physiology (MPI-MP), 14476, Potsdam-Golm, Germany
| | - Juan José Ferreira
- Regional Agrifood Research and Development Service (SERIDA), 33310, Villaviciosa, Asturias, Spain
| | - Ana Campa
- Regional Agrifood Research and Development Service (SERIDA), 33310, Villaviciosa, Asturias, Spain
| | - Giovanna Attene
- Department of Agriculture, University of Sassari, 07100, Sassari, Italy
- Centro per la Conservazione e Valorizzazione della Biodiversità Vegetale-CBV, Università degli Studi di Sassari, 07041, Alghero, Italy
| | - Peter L Morrell
- Department of Agronomy and Plant Genetics, University of Minnesota, St. Paul, MN, 55108-6026, USA
| | - Giorgio Bertorelle
- Department of Life Sciences and Biotechnology, University of Ferrara, 44121, Ferrara, Italy
| | - Andreas Graner
- Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), 06466, Seeland, Germany
| | - Paul Gepts
- Department of Plant Sciences, University of California, 95616-8780, Davis, CA, USA
| | - Alisdair R Fernie
- Max Planck Institute of Molecular Plant Physiology (MPI-MP), 14476, Potsdam-Golm, Germany
- Center for Plant Systems Biology and Plant Biotechnology, 4000, Plovdiv, Bulgaria
| | - Scott A Jackson
- Center for Applied Genetic Technologies, University of Georgia, 30602, Athens, GA, USA
| | - Roberto Papa
- Department of Agricultural, Food and Environmental Sciences, Marche Polytechnic University, 60131, Ancona, Italy.
| |
Collapse
|
|
7
|
Abdel Hamid MM, Abdelraheem MH, Acheampong DO, Ahouidi A, Ali M, Almagro-Garcia J, Amambua-Ngwa A, Amaratunga C, Amenga-Etego L, Andagalu B, Anderson T, Andrianaranjaka V, Aniebo I, Aninagyei E, Ansah F, Ansah PO, Apinjoh T, Arnaldo P, Ashley E, Auburn S, Awandare GA, Ba H, Baraka V, Barry A, Bejon P, Bertin GI, Boni MF, Borrmann S, Bousema T, Bouyou-Akotet M, Branch O, Bull PC, Cheah H, Chindavongsa K, Chookajorn T, Chotivanich K, Claessens A, Conway DJ, Corredor V, Courtier E, Craig A, D'Alessandro U, Dama S, Day N, Denis B, Dhorda M, Diakite M, Djimde A, Dolecek C, Dondorp A, Doumbia S, Drakeley C, Drury E, Duffy P, Echeverry DF, Egwang TG, Enosse SMM, Erko B, Fairhurst RM, Faiz A, Fanello CA, Fleharty M, Forbes M, Fukuda M, Gamboa D, Ghansah A, Golassa L, Goncalves S, Harrison GLA, Healy SA, Hendry JA, Hernandez-Koutoucheva A, Hien TT, Hill CA, Hombhanje F, Hott A, Htut Y, Hussein M, Imwong M, Ishengoma D, Jackson SA, Jacob CG, Jeans J, Johnson KJ, Kamaliddin C, Kamau E, Keatley J, Kochakarn T, Konate DS, Konaté A, Kone A, Kwiatkowski DP, Kyaw MP, Kyle D, Lawniczak M, Lee SK, Lemnge M, Lim P, Lon C, Loua KM, Mandara CI, Marfurt J, Marsh K, Maude RJ, Mayxay M, Maïga-Ascofaré O, Miotto O, Mita T, Mobegi V, Mohamed AO, Mokuolu OA, Montgomery J, Morang’a CM, Mueller I, Murie K, Newton PN, Ngo Duc T, Nguyen T, Nguyen TN, Nguyen Thi Kim T, Nguyen Van H, Noedl H, Nosten F, Noviyanti R, Ntui VNN, Nzila A, Ochola-Oyier LI, Ocholla H, Oduro A, Omedo I, Onyamboko MA, Ouedraogo JB, Oyebola K, Oyibo WA, Pearson R, Peshu N, Phyo AP, Plowe CV, Price RN, Pukrittayakamee S, Quang HH, Randrianarivelojosia M, Rayner JC, Ringwald P, Rosanas-Urgell A, Rovira-Vallbona E, Ruano-Rubio V, Ruiz L, Saunders D, Shayo A, Siba P, Simpson VJ, Sissoko MS, Smith C, Su XZ, Sutherland C, Takala-Harrison S, Talman A, Tavul L, Thanh NV, Thathy V, Thu AM, Toure M, Tshefu A, Verra F, Vinetz J, Wellems TE, Wendler J, White NJ, Whitton G, Yavo W, van der Pluijm RW. Pf7: an open dataset of Plasmodium falciparum genome variation in 20,000 worldwide samples. Wellcome Open Res 2023; 8:22. [PMID: 36864926 PMCID: PMC9971654 DOI: 10.12688/wellcomeopenres.18681.1] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/21/2022] [Indexed: 01/18/2023] Open
Abstract
We describe the MalariaGEN Pf7 data resource, the seventh release of Plasmodium falciparum genome variation data from the MalariaGEN network. It comprises over 20,000 samples from 82 partner studies in 33 countries, including several malaria endemic regions that were previously underrepresented. For the first time we include dried blood spot samples that were sequenced after selective whole genome amplification, necessitating new methods to genotype copy number variations. We identify a large number of newly emerging crt mutations in parts of Southeast Asia, and show examples of heterogeneities in patterns of drug resistance within Africa and within the Indian subcontinent. We describe the profile of variations in the C-terminal of the csp gene and relate this to the sequence used in the RTS,S and R21 malaria vaccines. Pf7 provides high-quality data on genotype calls for 6 million SNPs and short indels, analysis of large deletions that cause failure of rapid diagnostic tests, and systematic characterisation of six major drug resistance loci, all of which can be freely downloaded from the MalariaGEN website.
Collapse
Affiliation(s)
| | | | - Mohamed Hassan Abdelraheem
- Institute of Endemic Diseases, University of Khartoum, Khartoum, Sudan
- Nuclear Applications In Biological Sciences, Sudan Atomic Energy Commission, Khartoum, Sudan
| | - Desmond Omane Acheampong
- Department of Biomedical Sciences, School of Allied Health Sciences, University of Cape Coast, Cape Coast, Ghana
| | - Ambroise Ahouidi
- Health Research Epidemiological Surveillance and Training Institute (IRESSEF), Université Cheikh Anta Diop, Dakar, Senegal
| | - Mozam Ali
- Wellcome Sanger Institute, Hinxton, UK
| | | | - Alfred Amambua-Ngwa
- Wellcome Sanger Institute, Hinxton, UK
- Medical Research Council Unit The Gambia at the London School of Hygiene and Tropical Medicine, Banjul, The Gambia
| | - Chanaki Amaratunga
- National Institute of Allergy and Infectious Diseases (NIAID), NIH, Maryland, USA
| | - Lucas Amenga-Etego
- West African Centre for Cell Biology of Infectious Pathogens (WACCBIP), University of Ghana, Legon, Ghana
- Navrongo Health Research Centre, Ghana Health Service, Navrongo, Ghana
| | - Ben Andagalu
- United States Army Medical Research Directorate-Africa, Kenya Medical Research Institute/Walter Reed Project, Kisumu, Kenya
| | - Tim Anderson
- Texas Biomedical Research Institute, San Antonio, USA
| | | | | | - Enoch Aninagyei
- Department of Biomedical Sciences, School of Basic and Biomedical Sciences, University of Health & Allied Sciences, Ho, Ghana
| | - Felix Ansah
- West African Centre for Cell Biology of Infectious Pathogens (WACCBIP), University of Ghana, Legon, Ghana
| | - Patrick O Ansah
- Navrongo Health Research Centre, Ghana Health Service, Navrongo, Ghana
| | | | - Paulo Arnaldo
- Instituto Nacional de Saúde (INS), Maputo, Mozambique
| | - Elizabeth Ashley
- Mahidol-Oxford Tropical Medicine Research Unit (MORU), Bangkok, Thailand
- Centre for Tropical Medicine and Global Health, University of Oxford, Oxford, UK
| | - Sarah Auburn
- Menzies School of Health Research, Charles Darwin University, Darwin, Northern Territory, Australia
- Nuffield Department of Medicine, University of Oxford, UK
| | - Gordon A Awandare
- West African Centre for Cell Biology of Infectious Pathogens (WACCBIP), University of Ghana, Legon, Ghana
| | - Hampate Ba
- Institut National de Recherche en Santé Publique, Nouakchott, Mauritania
| | - Vito Baraka
- National Institute for Medical Research (NIMR), Dar es Salaam, Tanzania
- Department of Epidemiology, International Health Unit, Universiteit Antwerpen, Antwerp, Belgium
| | - Alyssa Barry
- Walter and Eliza Hall Institute, Melbourne, Australia
- Deakin University, Geelong, Australia
- Burnet Institute, Melbourne, Australia
| | - Philip Bejon
- KEMRI Wellcome Trust Research Programme, Kilifi, Kenya
| | | | - Maciej F Boni
- Nuffield Department of Medicine, University of Oxford, UK
- Oxford University Clinical Research Unit (OUCRU), Ho Chi Minh City, Vietnam
| | - Steffen Borrmann
- Institute for Tropical Medicine, University of Tübingen, Tübingen, Germany
| | - Teun Bousema
- London School of Hygiene and Tropical Medicine, London, UK
- Radboud University Medical Center, Nijmegen, The Netherlands
| | - Marielle Bouyou-Akotet
- Department of Parasitology-Mycology, Université des Sciences de la Santé, Libreville, Gabon
| | - Oralee Branch
- NYU School of Medicine Langone Medical Center, New York, USA
| | - Peter C Bull
- KEMRI Wellcome Trust Research Programme, Kilifi, Kenya
- Department of Pathology, University of Cambridge, Cambridge, UK
| | - Huch Cheah
- National Center for Parasitology, Entomology and Malaria Control, Phnom Penh, Cambodia
| | | | | | | | - Antoine Claessens
- Medical Research Council Unit The Gambia at the London School of Hygiene and Tropical Medicine, Banjul, The Gambia
- LPHI, MIVEGEC, INSERM, CNRS, IRD, University of Montpellier, Montpellier, France
| | - David J Conway
- London School of Hygiene and Tropical Medicine, London, UK
| | | | | | - Alister Craig
- Liverpool School of Tropical Medicine, Liverpool, UK
- Malawi-Liverpool-Wellcome Trust Clinical Research Program, Blantyre, Malawi
| | - Umberto D'Alessandro
- Medical Research Council Unit The Gambia at the London School of Hygiene and Tropical Medicine, Banjul, The Gambia
| | - Souleymane Dama
- Malaria Research and Training Centre, University of Science, Techniques and Technologies of Bamako, Bamako, Mali
| | - Nicholas Day
- Mahidol-Oxford Tropical Medicine Research Unit (MORU), Bangkok, Thailand
- Centre for Tropical Medicine and Global Health, University of Oxford, Oxford, UK
| | - Brigitte Denis
- Malawi-Liverpool-Wellcome Trust Clinical Research Program, Blantyre, Malawi
| | - Mehul Dhorda
- Mahidol-Oxford Tropical Medicine Research Unit (MORU), Bangkok, Thailand
- WorldWide Antimalarial Resistance Network – Asia Regional Centre, Bangkok, Thailand
| | - Mahamadou Diakite
- Malaria Research and Training Centre, University of Science, Techniques and Technologies of Bamako, Bamako, Mali
- University Clinical Research Center (UCRC), Bamako, Mali
| | - Abdoulaye Djimde
- Malaria Research and Training Centre, University of Science, Techniques and Technologies of Bamako, Bamako, Mali
| | | | - Arjen Dondorp
- Mahidol-Oxford Tropical Medicine Research Unit (MORU), Bangkok, Thailand
- Centre for Tropical Medicine and Global Health, University of Oxford, Oxford, UK
| | - Seydou Doumbia
- Malaria Research and Training Centre, University of Science, Techniques and Technologies of Bamako, Bamako, Mali
- University Clinical Research Center (UCRC), Bamako, Mali
| | - Chris Drakeley
- London School of Hygiene and Tropical Medicine, London, UK
| | | | - Patrick Duffy
- National Institute of Allergy and Infectious Diseases (NIAID), NIH, Maryland, USA
| | - Diego F Echeverry
- Departamento de Microbiología, Universidad del Valle, Cali, Colombia
- Centro Internacional de Entrenamiento e Investigaciones Médicas - CIDEIM, Cali, Colombia
| | | | | | - Berhanu Erko
- Aklilu Lemma Institute of Pathobiology, Addis Ababa University, Addis Ababa, Ethiopia
| | | | | | - Caterina A Fanello
- Mahidol-Oxford Tropical Medicine Research Unit (MORU), Bangkok, Thailand
| | - Mark Fleharty
- Broad Institute of Harvard and MIT and Harvard, Cambridge, MA, USA
| | | | - Mark Fukuda
- Department of Immunology and Medicine, US Army Medical Component, Armed Forces Research Institute of Medical Sciences (USAMC-AFRIMS), Bangkok, Thailand
| | - Dionicia Gamboa
- Laboratorio ICEMR-Amazonia, Laboratorios de Investigacion y Desarrollo, Facultad de Ciencias y Filosofia, Universidad Peruana Cayetano Heredia, Lima, Peru
| | - Anita Ghansah
- Nogouchi Memorial Institute for Medical Research, Legon-Accra, Ghana
| | - Lemu Golassa
- Aklilu Lemma Institute of Pathobiology, Addis Ababa University, Addis Ababa, Ethiopia
| | | | | | - Sara Anne Healy
- National Institute of Allergy and Infectious Diseases (NIAID), NIH, Maryland, USA
| | - Jason A Hendry
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
| | | | - Tran Tinh Hien
- Centre for Tropical Medicine and Global Health, University of Oxford, Oxford, UK
- Oxford University Clinical Research Unit (OUCRU), Ho Chi Minh City, Vietnam
| | - Catherine A Hill
- Department of Entomology, Purdue University, West Lafayette, USA
| | - Francis Hombhanje
- Centre for Health Research & Diagnostics, Divine Word University, Madang, Papua New Guinea
| | | | - Ye Htut
- Department of Medical Research, Yangon, Myanmar
| | - Mazza Hussein
- Institute of Endemic Diseases, University of Khartoum, Khartoum, Sudan
| | | | - Deus Ishengoma
- National Institute for Medical Research (NIMR), Dar es Salaam, Tanzania
- East African Consortium for Clinical Research (EACCR), Dar es Salaam, Tanzania
| | - Scott A Jackson
- Center for Applied Genetic Technologies, University of Georgia, Athens, GA, USA
| | | | | | | | - Claire Kamaliddin
- Institute of Research for Development (IRD), Paris, France
- The University of Calgary, Calgary, Canada
| | - Edwin Kamau
- U.S. Military HIV Research Program, Walter Reed Army Institute of Research, Silver Spring, MD, USA
| | | | | | - Drissa S Konate
- Malaria Research and Training Centre, University of Science, Techniques and Technologies of Bamako, Bamako, Mali
| | | | - Aminatou Kone
- Malaria Research and Training Centre, University of Science, Techniques and Technologies of Bamako, Bamako, Mali
| | | | - Myat P Kyaw
- Myanmar Oxford Clinical Research Unit, University of Oxford, Yangon, Myanmar
- University of Public Health, Yangon, Myanmar
| | - Dennis Kyle
- University of South Florida, Tampa, USA
- University of Georgia, Athens, USA
| | | | - Samuel K Lee
- Broad Institute of Harvard and MIT and Harvard, Cambridge, MA, USA
| | - Martha Lemnge
- National Institute for Medical Research (NIMR), Dar es Salaam, Tanzania
| | - Pharath Lim
- National Institute of Allergy and Infectious Diseases (NIAID), NIH, Maryland, USA
- Medical Care Development International, Maryland, USA
| | - Chanthap Lon
- National Institute of Allergy and Infectious Diseases, Phnom Penh, Cambodia
| | - Kovana M Loua
- University Gamal Abdel Nasser of Conakry, Conakry, Guinea
- Institut National de Santé Publique, Conakry, Guinea
| | - Celine I Mandara
- National Institute for Medical Research (NIMR), Dar es Salaam, Tanzania
| | - Jutta Marfurt
- Menzies School of Health Research, Charles Darwin University, Darwin, Northern Territory, Australia
| | - Kevin Marsh
- Nuffield Department of Medicine, University of Oxford, UK
- KEMRI Wellcome Trust Research Programme, Kilifi, Kenya
| | - Richard James Maude
- Mahidol-Oxford Tropical Medicine Research Unit (MORU), Bangkok, Thailand
- Centre for Tropical Medicine and Global Health, University of Oxford, Oxford, UK
- Harvard TH Chan School of Public Health, Harvard University, Boston, USA
| | - Mayfong Mayxay
- Centre for Tropical Medicine and Global Health, University of Oxford, Oxford, UK
- Lao-Oxford-Mahosot Hospital-Wellcome Trust Research Unit, Microbiology Laboratory, Mahosot Hospital, Vientiane, Lao People's Democratic Republic
- Institute of Research and Education Development (IRED), University of Health Sciences, Ministry of Health, Vientiane, Lao People's Democratic Republic
| | - Oumou Maïga-Ascofaré
- Malaria Research and Training Centre, University of Science, Techniques and Technologies of Bamako, Bamako, Mali
- Bernhard Nocht Institute for Tropical Medicine, Hamburg, Germany
- Research in Tropical Medicine, Kwame Nkrumah University of Sciences and Technology, Kumasi, Ghana
| | - Olivo Miotto
- Wellcome Sanger Institute, Hinxton, UK
- Mahidol-Oxford Tropical Medicine Research Unit (MORU), Bangkok, Thailand
- MRC Centre for Genomics and Global Health, Big Data Institute, Oxford University, Oxford, UK
| | | | - Victor Mobegi
- Department of Biochemistry and Centre for Biotechnology and Bioinformatics, University of Nairobi, Nairobi, Kenya
| | | | - Olugbenga A Mokuolu
- Department of Paediatrics and Child Health, University of Ilorin, Ilorin, Nigeria
| | - Jaqui Montgomery
- Malawi-Liverpool-Wellcome Trust Clinical Research Program, Blantyre, Malawi
- World Mosquito Program, Monash University, Melbourne, Australia
| | - Collins Misita Morang’a
- West African Centre for Cell Biology of Infectious Pathogens (WACCBIP), University of Ghana, Legon, Ghana
| | - Ivo Mueller
- Walter and Eliza Hall Institute, Melbourne, Australia
- University of Melbourne, Melbourne, Australia
| | | | - Paul N Newton
- Centre for Tropical Medicine and Global Health, University of Oxford, Oxford, UK
- Lao-Oxford-Mahosot Hospital-Wellcome Trust Research Unit, Microbiology Laboratory, Mahosot Hospital, Vientiane, Lao People's Democratic Republic
| | - Thang Ngo Duc
- National Institute of Malariology, Parasitology and Entomology (NIMPE), Hanoi, Vietnam
| | | | - Thuy-Nhien Nguyen
- Centre for Tropical Medicine and Global Health, University of Oxford, Oxford, UK
- Oxford University Clinical Research Unit (OUCRU), Ho Chi Minh City, Vietnam
| | | | - Hong Nguyen Van
- National Institute of Malariology, Parasitology and Entomology (NIMPE), Hanoi, Vietnam
| | - Harald Noedl
- MARIB - Malaria Research Initiative Bandarban, Bandarban, Bangladesh
- Medical University of Vienna, Vienna, Austria
| | - Francois Nosten
- Centre for Tropical Medicine and Global Health, University of Oxford, Oxford, UK
- Shoklo Malaria Research Unit, Mahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Mae Sot, Thailand
| | | | | | - Alexis Nzila
- King Fahid University of Petroleum and Minerals (KFUMP), Dhahran, Saudi Arabia
| | | | - Harold Ocholla
- KEMRI Centres for Disease Control and Prevention (CDC) Research Program, Kisumu, Kenya
- Centre for Bioinformatics and Biotechnology, University of Nairobi, Nairobi, Kenya
| | - Abraham Oduro
- Navrongo Health Research Centre, Ghana Health Service, Navrongo, Ghana
| | - Irene Omedo
- Wellcome Sanger Institute, Hinxton, UK
- KEMRI Wellcome Trust Research Programme, Kilifi, Kenya
| | - Marie A Onyamboko
- Kinshasa School of Public Health, University of Kinshasa, Kinshasa, Congo, Democratic Republic
| | | | - Kolapo Oyebola
- Nigerian Institute of Medical Research, Lagos, Nigeria
- Parasitology and Bioinformatics Unit, Faculty of Science, University of Lagos, Lagos, Nigeria
| | | | | | - Norbert Peshu
- KEMRI Wellcome Trust Research Programme, Kilifi, Kenya
| | - Aung P Phyo
- Mahidol-Oxford Tropical Medicine Research Unit (MORU), Bangkok, Thailand
- Shoklo Malaria Research Unit, Bangkok, Thailand
| | | | - Ric N Price
- Mahidol-Oxford Tropical Medicine Research Unit (MORU), Bangkok, Thailand
- Centre for Tropical Medicine and Global Health, University of Oxford, Oxford, UK
- Menzies School of Health Research, Charles Darwin University, Darwin, Northern Territory, Australia
| | | | - Huynh Hong Quang
- Institute of Malariology, Parasitology, and Entomology (IMPE) Quy Nhon, Ministry of Health, Quy Nhon, Vietnam
| | - Milijaona Randrianarivelojosia
- Institut Pasteur de Madagascar, Antananarivo, Madagascar
- Universités d'Antananarivo et de Mahajanga, Antananarivo, Madagascar
| | - Julian C Rayner
- Cambridge Institute for Medical Research, University of Cambridge, Cambridge, UK
| | | | | | | | | | - Lastenia Ruiz
- Universidad Nacional de la Amazonia Peruana, Iquitos, Peru
| | - David Saunders
- Department of Medicine, Uniformed Services University, Bethesda, MD, USA
| | - Alex Shayo
- Nelson Mandela Institute of Science and Technology, Arusha, Tanzania
| | - Peter Siba
- Papua New Guinea Institute of Medical Research, Goroka, Papua New Guinea
| | | | - Mahamadou S. Sissoko
- Malaria Research and Training Centre, University of Science, Techniques and Technologies of Bamako, Bamako, Mali
| | | | - Xin-zhuan Su
- National Institute of Allergy and Infectious Diseases (NIAID), NIH, Maryland, USA
| | | | - Shannon Takala-Harrison
- Center for Vaccine Development and Global Health, University of Maryland, School of Medicine, Baltimore, MD, USA
| | - Arthur Talman
- MIVEGEC, Université de Montpellier, IRD, CNRS, Montpellier, France
| | - Livingstone Tavul
- Papua New Guinea Institute of Medical Research, Goroka, Papua New Guinea
| | - Ngo Viet Thanh
- Oxford University Clinical Research Unit (OUCRU), Ho Chi Minh City, Vietnam
| | - Vandana Thathy
- KEMRI Wellcome Trust Research Programme, Kilifi, Kenya
- Department of Microbiology and Immunology, Columbia University Irving Medical Center, New York, NY, USA
| | - Aung Myint Thu
- Shoklo Malaria Research Unit, Mahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Mae Sot, Thailand
| | - Mahamoudou Toure
- Malaria Research and Training Centre, University of Science, Techniques and Technologies of Bamako, Bamako, Mali
| | | | | | - Joseph Vinetz
- Laboratorio ICEMR-Amazonia, Laboratorios de Investigacion y Desarrollo, Facultad de Ciencias y Filosofia, Universidad Peruana Cayetano Heredia, Lima, Peru
- Yale School of Medicine, New Haven, CT, USA
| | - Thomas E Wellems
- National Institute of Allergy and Infectious Diseases (NIAID), NIH, Maryland, USA
| | - Jason Wendler
- National Institute of Allergy and Infectious Diseases (NIAID), NIH, Maryland, USA
- Seattle Children’s Hospital, Seattle, USA
| | - Nicholas J White
- Mahidol-Oxford Tropical Medicine Research Unit (MORU), Bangkok, Thailand
- Centre for Tropical Medicine and Global Health, University of Oxford, Oxford, UK
| | | | - William Yavo
- University Félix Houphouët-Boigny, Abidjan, Cote d'Ivoire
- Malaria Research and Control Center of the National Institute of Public Health, Abidjan, Cote d'Ivoire
| | | |
Collapse
|
|
8
|
Gauglitz JM, West KA, Bittremieux W, Williams CL, Weldon KC, Panitchpakdi M, Di Ottavio F, Aceves CM, Brown E, Sikora NC, Jarmusch AK, Martino C, Tripathi A, Meehan MJ, Dorrestein K, Shaffer JP, Coras R, Vargas F, Goldasich LD, Schwartz T, Bryant M, Humphrey G, Johnson AJ, Spengler K, Belda-Ferre P, Diaz E, McDonald D, Zhu Q, Elijah EO, Wang M, Marotz C, Sprecher KE, Vargas-Robles D, Withrow D, Ackermann G, Herrera L, Bradford BJ, Marques LMM, Amaral JG, Silva RM, Veras FP, Cunha TM, Oliveira RDR, Louzada-Junior P, Mills RH, Piotrowski PK, Servetas SL, Da Silva SM, Jones CM, Lin NJ, Lippa KA, Jackson SA, Daouk RK, Galasko D, Dulai PS, Kalashnikova TI, Wittenberg C, Terkeltaub R, Doty MM, Kim JH, Rhee KE, Beauchamp-Walters J, Wright KP, Dominguez-Bello MG, Manary M, Oliveira MF, Boland BS, Lopes NP, Guma M, Swafford AD, Dutton RJ, Knight R, Dorrestein PC. Enhancing untargeted metabolomics using metadata-based source annotation. Nat Biotechnol 2022; 40:1774-1779. [PMID: 35798960 PMCID: PMC10277029 DOI: 10.1038/s41587-022-01368-1] [Citation(s) in RCA: 21] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2021] [Accepted: 05/20/2022] [Indexed: 01/30/2023]
Abstract
Human untargeted metabolomics studies annotate only ~10% of molecular features. We introduce reference-data-driven analysis to match metabolomics tandem mass spectrometry (MS/MS) data against metadata-annotated source data as a pseudo-MS/MS reference library. Applying this approach to food source data, we show that it increases MS/MS spectral usage 5.1-fold over conventional structural MS/MS library matches and allows empirical assessment of dietary patterns from untargeted data.
Collapse
Affiliation(s)
- Julia M Gauglitz
- Collaborative Mass Spectrometry Innovation Center, University of California San Diego, La Jolla, CA, USA
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA, USA
| | - Kiana A West
- Collaborative Mass Spectrometry Innovation Center, University of California San Diego, La Jolla, CA, USA
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA, USA
| | - Wout Bittremieux
- Collaborative Mass Spectrometry Innovation Center, University of California San Diego, La Jolla, CA, USA
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA, USA
| | - Candace L Williams
- Beckman Center for Conservation Research, San Diego Zoo Wildlife Alliance, Escondido, CA, USA
| | - Kelly C Weldon
- Collaborative Mass Spectrometry Innovation Center, University of California San Diego, La Jolla, CA, USA
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA, USA
- Center for Microbiome Innovation, Joan and Irwin Jacobs School of Engineering, University of California San Diego, La Jolla, CA, USA
| | - Morgan Panitchpakdi
- Collaborative Mass Spectrometry Innovation Center, University of California San Diego, La Jolla, CA, USA
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA, USA
| | - Francesca Di Ottavio
- Collaborative Mass Spectrometry Innovation Center, University of California San Diego, La Jolla, CA, USA
| | - Christine M Aceves
- Collaborative Mass Spectrometry Innovation Center, University of California San Diego, La Jolla, CA, USA
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA, USA
| | - Elizabeth Brown
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA, USA
- Division of Biological Sciences, University of California San Diego, La Jolla, CA, USA
| | - Nicole C Sikora
- Collaborative Mass Spectrometry Innovation Center, University of California San Diego, La Jolla, CA, USA
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA, USA
| | - Alan K Jarmusch
- Collaborative Mass Spectrometry Innovation Center, University of California San Diego, La Jolla, CA, USA
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA, USA
| | - Cameron Martino
- Center for Microbiome Innovation, Joan and Irwin Jacobs School of Engineering, University of California San Diego, La Jolla, CA, USA
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, CA, USA
- Bioinformatics and Systems Biology Program, University of California San Diego, La Jolla, CA, USA
| | - Anupriya Tripathi
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA, USA
- Division of Biological Sciences, University of California San Diego, La Jolla, CA, USA
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Michael J Meehan
- Collaborative Mass Spectrometry Innovation Center, University of California San Diego, La Jolla, CA, USA
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA, USA
| | - Kathleen Dorrestein
- Collaborative Mass Spectrometry Innovation Center, University of California San Diego, La Jolla, CA, USA
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA, USA
| | - Justin P Shaffer
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Roxana Coras
- Division of Rheumatology, Allergy & Immunology, Department of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Fernando Vargas
- Collaborative Mass Spectrometry Innovation Center, University of California San Diego, La Jolla, CA, USA
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA, USA
- Division of Biological Sciences, University of California San Diego, La Jolla, CA, USA
| | | | - Tara Schwartz
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, CA, USA
| | - MacKenzie Bryant
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Gregory Humphrey
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Abigail J Johnson
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, USA
| | - Katharina Spengler
- Collaborative Mass Spectrometry Innovation Center, University of California San Diego, La Jolla, CA, USA
| | - Pedro Belda-Ferre
- Center for Microbiome Innovation, Joan and Irwin Jacobs School of Engineering, University of California San Diego, La Jolla, CA, USA
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Edgar Diaz
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Daniel McDonald
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Qiyun Zhu
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Emmanuel O Elijah
- Collaborative Mass Spectrometry Innovation Center, University of California San Diego, La Jolla, CA, USA
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA, USA
| | - Mingxun Wang
- Collaborative Mass Spectrometry Innovation Center, University of California San Diego, La Jolla, CA, USA
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA, USA
| | - Clarisse Marotz
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Kate E Sprecher
- Department of Integrative Physiology, University of Colorado Boulder, Boulder, CO, USA
- Department of Population Health Sciences, University of Wisconsin-Madison, Madison, WI, USA
| | - Daniela Vargas-Robles
- Servicio Autónomo Centro Amazónico de Investigación y Control de Enfermedades Tropicales Simón Bolívar, Puerto Ayacucho, Amazonas, Venezuela
| | - Dana Withrow
- Department of Integrative Physiology, University of Colorado Boulder, Boulder, CO, USA
| | - Gail Ackermann
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Lourdes Herrera
- Department of Pediatrics, Billings Clinic, Billings, MT, USA
| | - Barry J Bradford
- Department of Animal Science, Michigan State University, East Lansing, MI, USA
| | - Lucas Maciel Mauriz Marques
- Department of Pharmacology, Ribeirão Preto Medicinal School, Center of Research in Inflammatory Diseases, University of São Paulo, Ribeirão Preto, Sao Paolo, Brazil
| | - Juliano Geraldo Amaral
- Multidisciplinary Health Institute, Federal University of Bahia, Vitória da Conquista, Bahia, Brazil
| | - Rodrigo Moreira Silva
- NPPNS, Department of Biomolecular Sciences, School of Pharmaceutical Sciences of Ribeirão Preto, University of São Paulo, Ribeirão Preto, Sao Paolo, Brazil
| | - Flavio Protasio Veras
- Department of Pharmacology, Ribeirão Preto Medicinal School, Center of Research in Inflammatory Diseases, University of São Paulo, Ribeirão Preto, Sao Paolo, Brazil
| | - Thiago Mattar Cunha
- Department of Pharmacology, Ribeirão Preto Medicinal School, Center of Research in Inflammatory Diseases, University of São Paulo, Ribeirão Preto, Sao Paolo, Brazil
| | - Rene Donizeti Ribeiro Oliveira
- Department of Internal Medicine, Ribeirão Preto Medical School, Center of Research in Inflammatory Diseases, University of São Paulo, Ribeirão Preto, Sao Paolo, Brazil
| | - Paulo Louzada-Junior
- Department of Internal Medicine, Ribeirão Preto Medical School, Center of Research in Inflammatory Diseases, University of São Paulo, Ribeirão Preto, Sao Paolo, Brazil
| | - Robert H Mills
- Collaborative Mass Spectrometry Innovation Center, University of California San Diego, La Jolla, CA, USA
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA, USA
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, CA, USA
- Department of Pharmacology, University of California San Diego, La Jolla, CA, USA
| | - Paulina K Piotrowski
- Material Measurement Laboratory, National Institute of Standards and Technology, Gaithersburg, MD, USA
| | - Stephanie L Servetas
- Material Measurement Laboratory, National Institute of Standards and Technology, Gaithersburg, MD, USA
| | - Sandra M Da Silva
- Material Measurement Laboratory, National Institute of Standards and Technology, Gaithersburg, MD, USA
| | - Christina M Jones
- Material Measurement Laboratory, National Institute of Standards and Technology, Gaithersburg, MD, USA
| | - Nancy J Lin
- Material Measurement Laboratory, National Institute of Standards and Technology, Gaithersburg, MD, USA
| | - Katrice A Lippa
- Material Measurement Laboratory, National Institute of Standards and Technology, Gaithersburg, MD, USA
| | - Scott A Jackson
- Material Measurement Laboratory, National Institute of Standards and Technology, Gaithersburg, MD, USA
| | - Rima Kaddurah Daouk
- Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, Durham, NC, USA
- Department of Medicine, Duke University, Durham, NC, USA
- Duke Institute of Brain Sciences, Duke University, Durham, NC, USA
| | - Douglas Galasko
- Department of Neurosciences, University of California San Diego, La Jolla, CA, USA
| | - Parambir S Dulai
- Division of Gastroenterology, Department of Medicine, University of California San Diego, La Jolla, CA, USA
| | | | - Curt Wittenberg
- Department of Molecular Medicine, The Scripps Research Institute, La Jolla, CA, USA
| | - Robert Terkeltaub
- Division of Rheumatology, Allergy & Immunology, Department of Medicine, University of California San Diego, La Jolla, CA, USA
- San Diego VA Healthcare System, San Diego, CA, USA
| | - Megan M Doty
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, CA, USA
- Division of Neonatology, Department of Pediatrics, Kapi'olani Medical Center for Women and Children, John A. Burns School of Medicine, Honolulu, Hawaii, USA
| | - Jae H Kim
- Division of Neonatology, Perinatal Institute, Department of Pediatrics, Cincinnati Children's Hospital Medical Center, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Kyung E Rhee
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Julia Beauchamp-Walters
- Division of Pediatric Hospital Medicine, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Kenneth P Wright
- Department of Integrative Physiology, University of Colorado Boulder, Boulder, CO, USA
| | - Maria Gloria Dominguez-Bello
- Department of Biochemistry and Microbiology, School of Environmental and Biological Sciences; Rutgers, The State University of New Jersey, New Brunswick, NJ, USA
| | - Mark Manary
- Department of Pediatrics, Washington University, St. Louis, MO, USA
| | - Michelli F Oliveira
- Department of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Brigid S Boland
- Division of Gastroenterology, Department of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Norberto Peporine Lopes
- NPPNS, Department of Biomolecular Sciences, School of Pharmaceutical Sciences of Ribeirão Preto, University of São Paulo, Ribeirão Preto, Sao Paolo, Brazil
| | - Monica Guma
- Division of Rheumatology, Allergy & Immunology, Department of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Austin D Swafford
- Center for Microbiome Innovation, Joan and Irwin Jacobs School of Engineering, University of California San Diego, La Jolla, CA, USA
| | - Rachel J Dutton
- Division of Biological Sciences, University of California San Diego, La Jolla, CA, USA
| | - Rob Knight
- Center for Microbiome Innovation, Joan and Irwin Jacobs School of Engineering, University of California San Diego, La Jolla, CA, USA.
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, CA, USA.
- Department of Medicine, University of California San Diego, La Jolla, CA, USA.
- Department of Computer Science and Engineering, University of California San Diego, La Jolla, CA, USA.
- Department of Bioengineering, University of California San Diego, La Jolla, CA, USA.
| | - Pieter C Dorrestein
- Collaborative Mass Spectrometry Innovation Center, University of California San Diego, La Jolla, CA, USA.
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA, USA.
- Center for Microbiome Innovation, Joan and Irwin Jacobs School of Engineering, University of California San Diego, La Jolla, CA, USA.
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, CA, USA.
- Department of Pharmacology, University of California San Diego, La Jolla, CA, USA.
| |
Collapse
|
|
9
|
Sivaganesan M, Willis JR, Karim M, Babatola A, Catoe D, Boehm AB, Wilder M, Green H, Lobos A, Harwood VJ, Hertel S, Klepikow R, Howard MF, Laksanalamai P, Roundtree A, Mattioli M, Eytcheson S, Molina M, Lane M, Rediske R, Ronan A, D'Souza N, Rose JB, Shrestha A, Hoar C, Silverman AI, Faulkner W, Wickman K, Kralj JG, Servetas SL, Hunter ME, Jackson SA, Shanks OC. Interlaboratory performance and quantitative PCR data acceptance metrics for NIST SRM® 2917. Water Res 2022; 225:119162. [PMID: 36191524 PMCID: PMC9932931 DOI: 10.1016/j.watres.2022.119162] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/29/2022] [Revised: 09/21/2022] [Accepted: 09/22/2022] [Indexed: 06/16/2023]
Abstract
Surface water quality quantitative polymerase chain reaction (qPCR) technologies are expanding from a subject of research to routine environmental and public health laboratory testing. Readily available, reliable reference material is needed to interpret qPCR measurements, particularly across laboratories. Standard Reference Material® 2917 (NIST SRM® 2917) is a DNA plasmid construct that functions with multiple water quality qPCR assays allowing for estimation of total fecal pollution and identification of key fecal sources. This study investigates SRM 2917 interlaboratory performance based on repeated measures of 12 qPCR assays by 14 laboratories (n = 1008 instrument runs). Using a Bayesian approach, single-instrument run data are combined to generate assay-specific global calibration models allowing for characterization of within- and between-lab variability. Comparable data sets generated by two additional laboratories are used to assess new SRM 2917 data acceptance metrics. SRM 2917 allows for reproducible single-instrument run calibration models across laboratories, regardless of qPCR assay. In addition, global models offer multiple data acceptance metric options that future users can employ to minimize variability, improve comparability of data across laboratories, and increase confidence in qPCR measurements.
Collapse
Affiliation(s)
- Mano Sivaganesan
- U.S. Environmental Protection Agency, Office of Research and Development, Cincinnati, OH, USA
| | - Jessica R Willis
- U.S. Environmental Protection Agency, Office of Research and Development, Cincinnati, OH, USA
| | - Mohammad Karim
- Environmental Services Laboratory, City of Santa Cruz, Santa Cruz, CA, USA
| | - Akin Babatola
- Environmental Services Laboratory, City of Santa Cruz, Santa Cruz, CA, USA
| | - David Catoe
- Department of Civil and Environmental Engineering, Stanford University, Stanford, CA, USA
| | - Alexandria B Boehm
- Department of Civil and Environmental Engineering, Stanford University, Stanford, CA, USA
| | - Maxwell Wilder
- Department of Environmental Biology, SUNY-ESF, Syracuse, NY, USA
| | - Hyatt Green
- Department of Environmental Biology, SUNY-ESF, Syracuse, NY, USA
| | - Aldo Lobos
- Department of Integrative Biology, University of South Florida, Tampa, FL, USA
| | - Valerie J Harwood
- Department of Integrative Biology, University of South Florida, Tampa, FL, USA
| | - Stephanie Hertel
- U.S. Environmental Protection Agency, Office of Research and Development, Cincinnati, OH, USA
| | - Regina Klepikow
- U.S. Environmental Protection Agency, Region 7 Laboratory, Kansas City, KS, USA
| | | | | | - Alexis Roundtree
- Waterborne Disease Prevention Branch, Division of Foodborne, Waterborne, and Environmental Diseases, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Mia Mattioli
- Waterborne Disease Prevention Branch, Division of Foodborne, Waterborne, and Environmental Diseases, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Stephanie Eytcheson
- U.S. Environmental Protection Agency, Office of Research and Development, Cincinnati, OH, USA
| | - Marirosa Molina
- U.S. Environmental Protection Agency, Office of Research and Development, Cincinnati, OH, USA
| | - Molly Lane
- Annis Water Resources Institute, Grand Valley State University, Muskegon, MI, USA
| | - Richard Rediske
- Annis Water Resources Institute, Grand Valley State University, Muskegon, MI, USA
| | - Amanda Ronan
- U.S. Environmental Protection Agency, Region 2 Laboratory, Edison, NJ, USA
| | - Nishita D'Souza
- Department of Fisheries and Wildlife, Michigan State University, E. Lansing, MI, USA
| | - Joan B Rose
- Department of Fisheries and Wildlife, Michigan State University, E. Lansing, MI, USA
| | - Abhilasha Shrestha
- Division of Environmental and Occupational Health Sciences, School of Public Health, University of Illinois at Chicago, Chicago, IL, USA
| | - Catherine Hoar
- Department of Civil and Urban Engineering, New York University Tandon School of Engineering, Brooklyn, NY, USA
| | - Andrea I Silverman
- Department of Civil and Urban Engineering, New York University Tandon School of Engineering, Brooklyn, NY, USA
| | | | | | - Jason G Kralj
- National Institute of Standards and Technology, Biosystems and Biomaterials Division, Complex Microbial Systems Group, Gaithersburg, MD, USA
| | - Stephanie L Servetas
- National Institute of Standards and Technology, Biosystems and Biomaterials Division, Complex Microbial Systems Group, Gaithersburg, MD, USA
| | - Monique E Hunter
- National Institute of Standards and Technology, Biosystems and Biomaterials Division, Complex Microbial Systems Group, Gaithersburg, MD, USA
| | - Scott A Jackson
- National Institute of Standards and Technology, Biosystems and Biomaterials Division, Complex Microbial Systems Group, Gaithersburg, MD, USA
| | - Orin C Shanks
- U.S. Environmental Protection Agency, Office of Research and Development, Cincinnati, OH, USA.
| |
Collapse
|
|
10
|
Willis JR, Sivaganesan M, Haugland RA, Kralj J, Servetas S, Hunter ME, Jackson SA, Shanks OC. Corrigendum to Performance of NIST SRM® 2917 with 13 recreational water quality monitoring qPCR assays [Water Research 212 (2022) 118114/WR66550R1]. Water Res 2022; 223:119031. [PMID: 36067601 DOI: 10.1016/j.watres.2022.119031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Affiliation(s)
- Jessica R Willis
- U.S. Environmental Protection Agency, Office of Research and Development, Cincinnati, OH, USA
| | - Mano Sivaganesan
- U.S. Environmental Protection Agency, Office of Research and Development, Cincinnati, OH, USA
| | - Richard A Haugland
- U.S. Environmental Protection Agency, Office of Research and Development, Cincinnati, OH, USA
| | - Jason Kralj
- National Institute of Standards and Technology, Biosystems and Biomaterials Division, Complex Microbial Systems Group, Gaithersburg, MD, USA
| | - Stephanie Servetas
- National Institute of Standards and Technology, Biosystems and Biomaterials Division, Complex Microbial Systems Group, Gaithersburg, MD, USA
| | - Monique E Hunter
- National Institute of Standards and Technology, Biosystems and Biomaterials Division, Complex Microbial Systems Group, Gaithersburg, MD, USA
| | - Scott A Jackson
- National Institute of Standards and Technology, Biosystems and Biomaterials Division, Complex Microbial Systems Group, Gaithersburg, MD, USA
| | - Orin C Shanks
- U.S. Environmental Protection Agency, Office of Research and Development, Cincinnati, OH, USA.
| |
Collapse
|
|
11
|
Willis JR, Sivaganesan M, Haugland RA, Kralj J, Servetas S, Hunter ME, Jackson SA, Shanks OC. Performance of NIST SRM® 2917 with 13 recreational water quality monitoring qPCR assays. Water Res 2022; 212:118114. [PMID: 35091220 PMCID: PMC10786215 DOI: 10.1016/j.watres.2022.118114] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/14/2021] [Revised: 01/17/2022] [Accepted: 01/20/2022] [Indexed: 06/14/2023]
Abstract
Fecal pollution remains a significant challenge for recreational water quality management worldwide. In response, there is a growing interest in the use of real-time quantitative PCR (qPCR) methods to achieve same-day notification of recreational water quality and associated public health risk as well as to characterize fecal pollution sources for targeted mitigation. However, successful widespread implementation of these technologies requires the development of and access to a high-quality standard control material. Here, we report a single laboratory qPCR performance assessment of the National Institute of Standards and Technology Standard Reference Material 2917 (NIST SRM® 2917), a linearized plasmid DNA construct that functions with 13 recreational water quality qPCR assays. Performance experiments indicate the generation of standard curves with amplification efficiencies ranging from 0.95 ± 0.006 to 0.99 ± 0.008 and coefficient of determination values (R2) ≥ 0.980. Regardless of qPCR assay, variability in repeated measurements at each dilution level were very low (quantification threshold standard deviations ≤ 0.657) and exhibited a heteroscedastic trend characteristic of qPCR standard curves. The influence of a yeast carrier tRNA added to the standard control material buffer was also investigated. Findings demonstrated that NIST SRM® 2917 functions with all qPCR methods and suggests that the future use of this control material by scientists and water quality managers should help reduce variability in concentration estimates and make results more consistent between laboratories.
Collapse
Affiliation(s)
- Jessica R Willis
- U.S. Environmental Protection Agency, Office of Research and Development, Cincinnati, OH, USA
| | - Mano Sivaganesan
- U.S. Environmental Protection Agency, Office of Research and Development, Cincinnati, OH, USA
| | - Richard A Haugland
- U.S. Environmental Protection Agency, Office of Research and Development, Cincinnati, OH, USA
| | - Jason Kralj
- National Institute of Standards and Technology, Biosystems and Biomaterials Division, Complex Microbial Systems Group, Gaithersburg, MD, USA
| | - Stephanie Servetas
- National Institute of Standards and Technology, Biosystems and Biomaterials Division, Complex Microbial Systems Group, Gaithersburg, MD, USA
| | - Monique E Hunter
- National Institute of Standards and Technology, Biosystems and Biomaterials Division, Complex Microbial Systems Group, Gaithersburg, MD, USA
| | - Scott A Jackson
- National Institute of Standards and Technology, Biosystems and Biomaterials Division, Complex Microbial Systems Group, Gaithersburg, MD, USA
| | - Orin C Shanks
- U.S. Environmental Protection Agency, Office of Research and Development, Cincinnati, OH, USA.
| |
Collapse
|
|
12
|
Zhuang Y, Wang X, Li X, Hu J, Fan L, Landis JB, Cannon SB, Grimwood J, Schmutz J, Jackson SA, Doyle JJ, Zhang XS, Zhang D, Ma J. Phylogenomics of the genus Glycine sheds light on polyploid evolution and life-strategy transition. Nat Plants 2022; 8:233-244. [PMID: 35288665 DOI: 10.1038/s41477-022-01102-4] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/21/2021] [Accepted: 01/29/2022] [Indexed: 06/14/2023]
Abstract
Polyploidy and life-strategy transitions between annuality and perenniality often occur in flowering plants. However, the evolutionary propensities of polyploids and the genetic bases of such transitions remain elusive. We assembled chromosome-level genomes of representative perennial species across the genus Glycine including five diploids and a young allopolyploid, and constructed a Glycine super-pangenome framework by integrating 26 annual soybean genomes. These perennial diploids exhibit greater genome stability and possess fewer centromere repeats than the annuals. Biased subgenomic fractionation occurred in the allopolyploid, primarily by accumulation of small deletions in gene clusters through illegitimate recombination, which was associated with pre-existing local subgenomic differentiation. Two genes annotated to modulate vegetative-reproductive phase transition and lateral shoot outgrowth were postulated as candidates underlying the perenniality-annuality transition. Our study provides insights into polyploid genome evolution and lays a foundation for unleashing genetic potential from the perennial gene pool for soybean improvement.
Collapse
Affiliation(s)
- Yongbin Zhuang
- College of Agriculture, and State Key Laboratory of Crop Biology, Shangdong Agricultural University, Tai'an, China
| | - Xutong Wang
- Department of Agronomy, and Center for Plant Biology, Purdue University, West Lafayette, IN, USA
| | - Xianchong Li
- College of Agriculture, and State Key Laboratory of Crop Biology, Shangdong Agricultural University, Tai'an, China
| | - Junmei Hu
- College of Agriculture, and State Key Laboratory of Crop Biology, Shangdong Agricultural University, Tai'an, China
| | - Lichuan Fan
- College of Agriculture, and State Key Laboratory of Crop Biology, Shangdong Agricultural University, Tai'an, China
| | - Jacob B Landis
- School of Integrative Plant Science Plant Biology Section, Cornell University, Ithaca, NY, USA
| | - Steven B Cannon
- USDA-ARS Corn Insects and Crop Genetics Research Unit, Ames, IA, USA
| | - Jane Grimwood
- HudsonAlpha Institute for Biotechnology, Huntsville, AL, USA
| | - Jeremy Schmutz
- HudsonAlpha Institute for Biotechnology, Huntsville, AL, USA
| | - Scott A Jackson
- Center for Applied Genetic Technologies, University of Georgia, Athens, GA, USA
| | - Jeffrey J Doyle
- School of Integrative Plant Science Plant Biology Section, Cornell University, Ithaca, NY, USA
| | - Xian Sheng Zhang
- College of Life Sciences, and State Key Laboratory of Crop Biology, Shandong Agricultural University, Tai'an, China
| | - Dajian Zhang
- College of Agriculture, and State Key Laboratory of Crop Biology, Shangdong Agricultural University, Tai'an, China.
| | - Jianxin Ma
- Department of Agronomy, and Center for Plant Biology, Purdue University, West Lafayette, IN, USA.
| |
Collapse
|
|
13
|
Wyant SR, Rodriguez MF, Carter CK, Parrott WA, Jackson SA, Stupar RM, Morrell PL. Fast neutron mutagenesis in soybean enriches for small indels and creates frameshift mutations. G3 (Bethesda) 2022; 12:jkab431. [PMID: 35100358 PMCID: PMC9335934 DOI: 10.1093/g3journal/jkab431] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/05/2021] [Accepted: 11/14/2021] [Indexed: 11/13/2022]
Abstract
The mutagenic effects of ionizing radiation have been used for decades to create novel variants in experimental populations. Fast neutron (FN) bombardment as a mutagen has been especially widespread in plants, with extensive reports describing the induction of large structural variants, i.e., deletions, insertions, inversions, and translocations. However, the full spectrum of FN-induced mutations is poorly understood. We contrast small insertions and deletions (indels) observed in 27 soybean lines subject to FN irradiation with the standing indels identified in 107 diverse soybean lines. We use the same populations to contrast the nature and context (bases flanking a nucleotide change) of single-nucleotide variants. The accumulation of new single-nucleotide changes in FN lines is marginally higher than expected based on spontaneous mutation. In FN-treated lines and in standing variation, C→T transitions and the corresponding reverse complement G→A transitions are the most abundant and occur most frequently in a CpG local context. These data indicate that most SNPs identified in FN lines are likely derived from spontaneous de novo processes in generations following mutagenesis rather than from the FN irradiation mutagen. However, small indels in FN lines differ from standing variants. Short insertions, from 1 to 6 bp, are less abundant than in standing variation. Short deletions are more abundant and prone to induce frameshift mutations that should disrupt the structure and function of encoded proteins. These findings indicate that FN irradiation generates numerous small indels, increasing the abundance of loss-of-function mutations that impact single genes.
Collapse
Affiliation(s)
- Skylar R Wyant
- Department of Ecology and Evolutionary Biology, University of California, Irvine, CA 92697, USA
| | - M Fernanda Rodriguez
- Department of Agronomy and Plant Genetics, University of Minnesota, St. Paul, MN 55108, USA
| | - Corey K Carter
- Department of Agronomy and Plant Genetics, University of Minnesota, St. Paul, MN 55108, USA
| | - Wayne A Parrott
- Department of Crop and Soil Sciences, University of Georgia, Athens, GA 30602, USA
| | - Scott A Jackson
- Department of Crop and Soil Sciences, University of Georgia, Athens, GA 30602, USA
| | - Robert M Stupar
- Department of Agronomy and Plant Genetics, University of Minnesota, St. Paul, MN 55108, USA
| | - Peter L Morrell
- Department of Agronomy and Plant Genetics, University of Minnesota, St. Paul, MN 55108, USA
| |
Collapse
|
|
14
|
Gao D, Nascimento EFMB, Leal-Bertioli SCM, Abernathy B, Jackson SA, Araujo ACG, Bertioli DJ. TAR30, a homolog of the canonical plant TTTAGGG telomeric repeat, is enriched in the proximal chromosome regions of peanut (Arachis hypogaea L.). Chromosome Res 2022; 30:77-90. [DOI: 10.1007/s10577-022-09684-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2021] [Revised: 01/07/2022] [Accepted: 01/11/2022] [Indexed: 11/03/2022]
|
|
15
|
Ballén-Taborda C, Chu Y, Ozias-Akins P, Holbrook CC, Timper P, Jackson SA, Bertioli DJ, Leal-Bertioli SCM. Development and Genetic Characterization of Peanut Advanced Backcross Lines That Incorporate Root-Knot Nematode Resistance From Arachis stenosperma. Front Plant Sci 2022; 12:785358. [PMID: 35111175 PMCID: PMC8801422 DOI: 10.3389/fpls.2021.785358] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/29/2021] [Accepted: 12/01/2021] [Indexed: 06/08/2023]
Abstract
Crop wild species are increasingly important for crop improvement. Peanut (Arachis hypogaea L.) wild relatives comprise a diverse genetic pool that is being used to broaden its narrow genetic base. Peanut is an allotetraploid species extremely susceptible to peanut root-knot nematode (PRKN) Meloidogyne arenaria. Current resistant cultivars rely on a single introgression for PRKN resistance incorporated from the wild relative Arachis cardenasii, which could be overcome as a result of the emergence of virulent nematode populations. Therefore, new sources of resistance may be needed. Near-immunity has been found in the peanut wild relative Arachis stenosperma. The two loci controlling the resistance, present on chromosomes A02 and A09, have been validated in tetraploid lines and have been shown to reduce nematode reproduction by up to 98%. To incorporate these new resistance QTL into cultivated peanut, we used a marker-assisted backcrossing approach, using PRKN A. stenosperma-derived resistant lines as donor parents. Four cycles of backcrossing were completed, and SNP assays linked to the QTL were used for foreground selection. In each backcross generation seed weight, length, and width were measured, and based on a statistical analysis we observed that only one generation of backcrossing was required to recover the elite peanut's seed size. A populating of 271 BC3F1 lines was genome-wide genotyped to characterize the introgressions across the genome. Phenotypic information for leaf spot incidence and domestication traits (seed size, fertility, plant architecture, and flower color) were recorded. Correlations between the wild introgressions in different chromosomes and the phenotypic data allowed us to identify candidate regions controlling these domestication traits. Finally, PRKN resistance was validated in BC3F3 lines. We observed that the QTL in A02 and/or large introgression in A09 are needed for resistance. This present work represents an important step toward the development of new high-yielding and nematode-resistant peanut cultivars.
Collapse
Affiliation(s)
- Carolina Ballén-Taborda
- Institute of Plant Breeding, Genetics and Genomics, University of Georgia, Athens, GA, United States
| | - Ye Chu
- Department of Horticulture, University of Georgia, Tifton, GA, United States
| | - Peggy Ozias-Akins
- Institute of Plant Breeding, Genetics and Genomics, University of Georgia, Athens, GA, United States
- Department of Horticulture, University of Georgia, Tifton, GA, United States
| | - C. Corley Holbrook
- U.S. Department of Agriculture-Agricultural Research Service (USDA-ARS), Tifton, GA, United States
| | - Patricia Timper
- U.S. Department of Agriculture-Agricultural Research Service (USDA-ARS), Tifton, GA, United States
| | - Scott A. Jackson
- Institute of Plant Breeding, Genetics and Genomics, University of Georgia, Athens, GA, United States
| | - David J. Bertioli
- Institute of Plant Breeding, Genetics and Genomics, University of Georgia, Athens, GA, United States
- Department of Crop and Soil Science, University of Georgia, Athens, GA, United States
| | - Soraya C. M. Leal-Bertioli
- Institute of Plant Breeding, Genetics and Genomics, University of Georgia, Athens, GA, United States
- Department of Plant Pathology, University of Georgia, Athens, GA, United States
| |
Collapse
|
|
16
|
Zimmer G, Miller MJ, Steketee CJ, Jackson SA, de Tunes LVM, Li Z. Genetic control and allele variation among soybean maturity groups 000 through IX. Plant Genome 2021; 14:e20146. [PMID: 34514734 DOI: 10.1002/tpg2.20146] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/19/2021] [Accepted: 07/06/2021] [Indexed: 06/13/2023]
Abstract
Soybean [Glycinemax (L.) Merr.] maturity determines the growing region of a given soybean variety and is a primary factor in yield and other agronomic traits. The objectives of this research were to identify the quantitative trait loci (QTL) associated with maturity groups (MGs) and determine the genetic control of soybean maturity in each MG. Using data from 16,879 soybean accessions, genome-wide association (GWA) analyses were conducted for each paired MG and across MGs 000 through IX. Genome-wide association analyses were also performed using 184 genotypes (MGs V-IX) with days to flowering (DTF) and maturity (DTM) collected in the field. A total of 58 QTL were identified to be significantly associated with MGs in individual GWAs, which included 12 reported maturity loci and two stem termination genes. Genome-wide associations across MGs 000-IX detected a total of 103 QTL and confirmed 54 QTL identified in the individual GWAs. Of significant loci identified, qMG-5.2 had effects on the highest number (9) of MGs, followed by E2, E3, Dt2, qMG-15.5, E1, qMG-13.1, qMG-7.1, and qMG-16.1, which affected five to seven MGs. A high number of genetic loci (8-25) that affected MGs 0-V were observed. Stem termination genes Dt1 and Dt2 mainly had significant allele variation in MGs II-V. Genome-wide associations for DTF, DTM, and reproductive period (RP) in the diversity panel confirmed 15 QTL, of which seven were observed in MGs V-IX. The results generated can help soybean breeders manipulate the maturity loci for genetic improvement of soybean yield.
Collapse
Affiliation(s)
- Gustavo Zimmer
- Institute of Plant Breeding, Genetics, and Genomics, and Department of Crop and Soil Sciences, University of Georgia, Athens, GA, 30602, USA
- Department of Crop Production, Federal University of Pelotas, Capão do Leão, RS, 96160-000, Brazil
| | - Mark J Miller
- Institute of Plant Breeding, Genetics, and Genomics, and Department of Crop and Soil Sciences, University of Georgia, Athens, GA, 30602, USA
| | - Clinton J Steketee
- Institute of Plant Breeding, Genetics, and Genomics, and Department of Crop and Soil Sciences, University of Georgia, Athens, GA, 30602, USA
| | - Scott A Jackson
- Institute of Plant Breeding, Genetics, and Genomics, and Department of Crop and Soil Sciences, University of Georgia, Athens, GA, 30602, USA
| | | | - Zenglu Li
- Institute of Plant Breeding, Genetics, and Genomics, and Department of Crop and Soil Sciences, University of Georgia, Athens, GA, 30602, USA
| |
Collapse
|
|
17
|
Ahouidi A, Ali M, Almagro-Garcia J, Amambua-Ngwa A, Amaratunga C, Amato R, Amenga-Etego L, Andagalu B, Anderson TJC, Andrianaranjaka V, Apinjoh T, Ariani C, Ashley EA, Auburn S, Awandare GA, Ba H, Baraka V, Barry AE, Bejon P, Bertin GI, Boni MF, Borrmann S, Bousema T, Branch O, Bull PC, Busby GBJ, Chookajorn T, Chotivanich K, Claessens A, Conway D, Craig A, D'Alessandro U, Dama S, Day NPJ, Denis B, Diakite M, Djimdé A, Dolecek C, Dondorp AM, Drakeley C, Drury E, Duffy P, Echeverry DF, Egwang TG, Erko B, Fairhurst RM, Faiz A, Fanello CA, Fukuda MM, Gamboa D, Ghansah A, Golassa L, Goncalves S, Hamilton WL, Harrison GLA, Hart L, Henrichs C, Hien TT, Hill CA, Hodgson A, Hubbart C, Imwong M, Ishengoma DS, Jackson SA, Jacob CG, Jeffery B, Jeffreys AE, Johnson KJ, Jyothi D, Kamaliddin C, Kamau E, Kekre M, Kluczynski K, Kochakarn T, Konaté A, Kwiatkowski DP, Kyaw MP, Lim P, Lon C, Loua KM, Maïga-Ascofaré O, Malangone C, Manske M, Marfurt J, Marsh K, Mayxay M, Miles A, Miotto O, Mobegi V, Mokuolu OA, Montgomery J, Mueller I, Newton PN, Nguyen T, Nguyen TN, Noedl H, Nosten F, Noviyanti R, Nzila A, Ochola-Oyier LI, Ocholla H, Oduro A, Omedo I, Onyamboko MA, Ouedraogo JB, Oyebola K, Pearson RD, Peshu N, Phyo AP, Plowe CV, Price RN, Pukrittayakamee S, Randrianarivelojosia M, Rayner JC, Ringwald P, Rockett KA, Rowlands K, Ruiz L, Saunders D, Shayo A, Siba P, Simpson VJ, Stalker J, Su XZ, Sutherland C, Takala-Harrison S, Tavul L, Thathy V, Tshefu A, Verra F, Vinetz J, Wellems TE, Wendler J, White NJ, Wright I, Yavo W, Ye H. An open dataset of Plasmodium falciparum genome variation in 7,000 worldwide samples. Wellcome Open Res 2021; 6:42. [PMID: 33824913 PMCID: PMC8008441 DOI: 10.12688/wellcomeopenres.16168.1] [Citation(s) in RCA: 43] [Impact Index Per Article: 14.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/15/2021] [Indexed: 02/02/2023] Open
Abstract
MalariaGEN is a data-sharing network that enables groups around the world to work together on the genomic epidemiology of malaria. Here we describe a new release of curated genome variation data on 7,000 Plasmodium falciparum samples from MalariaGEN partner studies in 28 malaria-endemic countries. High-quality genotype calls on 3 million single nucleotide polymorphisms (SNPs) and short indels were produced using a standardised analysis pipeline. Copy number variants associated with drug resistance and structural variants that cause failure of rapid diagnostic tests were also analysed. Almost all samples showed genetic evidence of resistance to at least one antimalarial drug, and some samples from Southeast Asia carried markers of resistance to six commonly-used drugs. Genes expressed during the mosquito stage of the parasite life-cycle are prominent among loci that show strong geographic differentiation. By continuing to enlarge this open data resource we aim to facilitate research into the evolutionary processes affecting malaria control and to accelerate development of the surveillance toolkit required for malaria elimination.
Collapse
Affiliation(s)
| | | | - Mozam Ali
- Wellcome Sanger Institute, Hinxton, UK
| | - Jacob Almagro-Garcia
- Wellcome Sanger Institute, Hinxton, UK,MRC Centre for Genomics and Global Health, Big Data Institute, University of Oxford, Oxford, UK
| | - Alfred Amambua-Ngwa
- Wellcome Sanger Institute, Hinxton, UK,Medical Research Council Unit The Gambia, at the London School of Hygiene and Tropical Medicine, Banjul, The Gambia
| | - Chanaki Amaratunga
- National Institute of Allergy and Infectious Diseases (NIAID), NIH, Bethesda, USA
| | - Roberto Amato
- Wellcome Sanger Institute, Hinxton, UK,MRC Centre for Genomics and Global Health, Big Data Institute, University of Oxford, Oxford, UK
| | - Lucas Amenga-Etego
- Navrongo Health Research Centre, Ghana Health Service, Navrongo, Ghana,West African Centre for Cell Biology of Infectious Pathogens (WACCBIP), University of Ghana, Accra, Ghana
| | - Ben Andagalu
- United States Army Medical Research Directorate-Africa, Kenya Medical Research Institute/Walter Reed Project, Kisumu, Kenya
| | | | | | | | | | - Elizabeth A Ashley
- Mahidol-Oxford Tropical Medicine Research Unit (MORU), Bangkok, Thailand
| | - Sarah Auburn
- Menzies School of Health Research, Darwin, Australia,Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Gordon A. Awandare
- West African Centre for Cell Biology of Infectious Pathogens (WACCBIP), University of Ghana, Accra, Ghana,University of Ghana, Legon, Ghana
| | - Hampate Ba
- Institut National de Recherche en Santé Publique, Nouakchott, Mauritania
| | - Vito Baraka
- National Institute for Medical Research (NIMR), Dar es Salaam, Tanzania,Department of Epidemiology, International Health Unit, University of Antwerp, Antwerp, Belgium
| | - Alyssa E. Barry
- Deakin University, Geelong, Australia,Burnet Institute, Melbourne, Australia,Walter and Eliza Hall Institute, Melbourne, Australia
| | - Philip Bejon
- KEMRI Wellcome Trust Research Programme, Kilifi, Kenya
| | | | - Maciej F. Boni
- Nuffield Department of Medicine, University of Oxford, Oxford, UK,Oxford University Clinical Research Unit (OUCRU), Ho Chi Minh City, Vietnam
| | - Steffen Borrmann
- Institute for Tropical Medicine, University of Tübingen, Tübingen, Germany
| | - Teun Bousema
- London School of Hygiene and Tropical Medicine, London, UK,Radboud University Medical Center, Nijmegen, The Netherlands
| | - Oralee Branch
- NYU School of Medicine Langone Medical Center, New York, USA
| | - Peter C. Bull
- KEMRI Wellcome Trust Research Programme, Kilifi, Kenya,Department of Pathology, University of Cambridge, Cambridge, UK
| | - George B. J. Busby
- MRC Centre for Genomics and Global Health, Big Data Institute, University of Oxford, Oxford, UK
| | | | | | - Antoine Claessens
- Medical Research Council Unit The Gambia, at the London School of Hygiene and Tropical Medicine, Banjul, The Gambia,LPHI, MIVEGEC, INSERM, CNRS, IRD, University of Montpellier, Montpellier, France
| | - David Conway
- London School of Hygiene and Tropical Medicine, London, UK
| | - Alister Craig
- Liverpool School of Tropical Medicine, Liverpool, UK,Malawi-Liverpool-Wellcome Trust Clinical Research, Blantyre, Malawi
| | - Umberto D'Alessandro
- Medical Research Council Unit The Gambia, at the London School of Hygiene and Tropical Medicine, Banjul, The Gambia
| | - Souleymane Dama
- Malaria Research and Training Centre, University of Science, Techniques and Technologies of Bamako, Bamako, Mali
| | - Nicholas PJ Day
- Mahidol-Oxford Tropical Medicine Research Unit (MORU), Bangkok, Thailand
| | - Brigitte Denis
- Malawi-Liverpool-Wellcome Trust Clinical Research, Blantyre, Malawi
| | - Mahamadou Diakite
- Malaria Research and Training Centre, University of Science, Techniques and Technologies of Bamako, Bamako, Mali
| | - Abdoulaye Djimdé
- Malaria Research and Training Centre, University of Science, Techniques and Technologies of Bamako, Bamako, Mali
| | | | - Arjen M Dondorp
- Mahidol-Oxford Tropical Medicine Research Unit (MORU), Bangkok, Thailand
| | - Chris Drakeley
- London School of Hygiene and Tropical Medicine, London, UK
| | | | - Patrick Duffy
- National Institute of Allergy and Infectious Diseases (NIAID), NIH, Bethesda, USA
| | - Diego F. Echeverry
- Centro Internacional de Entrenamiento e Investigaciones Médicas - CIDEIM, Cali, Colombia,Universidad Icesi, Cali, Colombia
| | | | - Berhanu Erko
- Aklilu Lemma Institute of Pathobiology, Addis Ababa University, Addis Ababa, Ethiopia
| | | | | | | | - Mark M. Fukuda
- Department of Immunology and Medicine, US Army Medical Component, Armed Forces Research Institute of Medical Sciences (USAMC-AFRIMS), Bangkok, Thailand
| | - Dionicia Gamboa
- Laboratorio ICEMR-Amazonia, Laboratorios de Investigacion y Desarrollo, Facultad de Ciencias y Filosofia, Universidad Peruana Cayetano Heredia, Lima, Peru
| | - Anita Ghansah
- Nogouchi Memorial Institute for Medical Research, Legon-Accra, Ghana
| | - Lemu Golassa
- Aklilu Lemma Institute of Pathobiology, Addis Ababa University, Addis Ababa, Ethiopia
| | | | - William L. Hamilton
- Wellcome Sanger Institute, Hinxton, UK,Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | | | - Lee Hart
- MRC Centre for Genomics and Global Health, Big Data Institute, University of Oxford, Oxford, UK
| | - Christa Henrichs
- MRC Centre for Genomics and Global Health, Big Data Institute, University of Oxford, Oxford, UK
| | - Tran Tinh Hien
- Oxford University Clinical Research Unit (OUCRU), Ho Chi Minh City, Vietnam,Centre for Tropical Medicine and Global Health, University of Oxford, Oxford, UK
| | | | | | - Christina Hubbart
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
| | | | - Deus S. Ishengoma
- National Institute for Medical Research (NIMR), Dar es Salaam, Tanzania,East African Consortium for Clinical Research (EACCR), Dar es Salaam, Tanzania
| | - Scott A. Jackson
- Center for Applied Genetic Technologies, University of Georgia, Athens, GA, USA
| | | | - Ben Jeffery
- MRC Centre for Genomics and Global Health, Big Data Institute, University of Oxford, Oxford, UK
| | - Anna E. Jeffreys
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Kimberly J. Johnson
- MRC Centre for Genomics and Global Health, Big Data Institute, University of Oxford, Oxford, UK
| | | | | | - Edwin Kamau
- Walter Reed Army Institute of Research, U.S. Military HIV Research Program, Silver Spring, MD, USA
| | | | - Krzysztof Kluczynski
- MRC Centre for Genomics and Global Health, Big Data Institute, University of Oxford, Oxford, UK
| | - Theerarat Kochakarn
- Wellcome Sanger Institute, Hinxton, UK,Mahidol University, Bangkok, Thailand
| | | | - Dominic P. Kwiatkowski
- Wellcome Sanger Institute, Hinxton, UK,MRC Centre for Genomics and Global Health, Big Data Institute, University of Oxford, Oxford, UK,Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Myat Phone Kyaw
- The Myanmar Oxford Clinical Research Unit, University of Oxford, Yangon, Myanmar,University of Public Health, Yangon, Myanmar
| | - Pharath Lim
- National Institute of Allergy and Infectious Diseases (NIAID), NIH, Bethesda, USA,Medical Care Development International, Maryland, USA
| | - Chanthap Lon
- Department of Immunology and Medicine, US Army Medical Component, Armed Forces Research Institute of Medical Sciences (USAMC-AFRIMS), Bangkok, Thailand
| | | | - Oumou Maïga-Ascofaré
- Malaria Research and Training Centre, University of Science, Techniques and Technologies of Bamako, Bamako, Mali,Bernhard Nocht Institute for Tropical Medicine, Hamburg, Germany,Research in Tropical Medicine, Kwame Nkrumah University of Sciences and Technology, Kumasi, Ghana
| | | | | | - Jutta Marfurt
- Menzies School of Health Research, Darwin, Australia
| | - Kevin Marsh
- Nuffield Department of Medicine, University of Oxford, Oxford, UK,African Academy of Sciences, Nairobi, Kenya
| | - Mayfong Mayxay
- Lao-Oxford-Mahosot Hospital-Wellcome Trust Research Unit (LOMWRU), Vientiane, Lao People's Democratic Republic,Institute of Research and Education Development (IRED), University of Health Sciences, Ministry of Health, Vientiane, Lao People's Democratic Republic
| | - Alistair Miles
- Wellcome Sanger Institute, Hinxton, UK,MRC Centre for Genomics and Global Health, Big Data Institute, University of Oxford, Oxford, UK
| | - Olivo Miotto
- Wellcome Sanger Institute, Hinxton, UK,MRC Centre for Genomics and Global Health, Big Data Institute, University of Oxford, Oxford, UK,Mahidol-Oxford Tropical Medicine Research Unit (MORU), Bangkok, Thailand
| | - Victor Mobegi
- School of Medicine, University of Nairobi, Nairobi, Kenya
| | - Olugbenga A. Mokuolu
- Department of Paediatrics and Child Health, University of Ilorin, Ilorin, Nigeria
| | - Jacqui Montgomery
- Institute of Vector-Borne Disease, Monash University, Clayton, Victoria, 3800, Australia
| | - Ivo Mueller
- Walter and Eliza Hall Institute, Melbourne, Australia,Barcelona Centre for International Health Research, Barcelona, Spain
| | - Paul N. Newton
- Wellcome Trust-Mahosot Hospital-Oxford Tropical Medicine Research Collaboration, Vientiane, Lao People's Democratic Republic
| | | | - Thuy-Nhien Nguyen
- Oxford University Clinical Research Unit (OUCRU), Ho Chi Minh City, Vietnam
| | - Harald Noedl
- MARIB - Malaria Research Initiative Bandarban, Bandarban, Bangladesh
| | - Francois Nosten
- Nuffield Department of Medicine, University of Oxford, Oxford, UK,Shoklo Malaria Research Unit, Bangkok, Thailand
| | | | - Alexis Nzila
- King Fahid University of Petroleum and Minerals (KFUMP), Dharhran, Saudi Arabia
| | | | - Harold Ocholla
- KEMRI - Centres for Disease Control and Prevention (CDC) Research Program, Kisumu, Kenya,Centre for Bioinformatics and Biotechnology, University of Nairobi, Nairobi, Kenya
| | - Abraham Oduro
- Navrongo Health Research Centre, Ghana Health Service, Navrongo, Ghana
| | - Irene Omedo
- KEMRI Wellcome Trust Research Programme, Kilifi, Kenya
| | - Marie A. Onyamboko
- Kinshasa School of Public Health, University of Kinshasa, Kinshasa, Congo, Democratic Republic
| | | | - Kolapo Oyebola
- Nigerian Institute of Medical Research, Lagos, Nigeria,Parasitology and Bioinformatics Unit, Faculty of Science, University of Lagos, Lagos, Nigeria
| | - Richard D. Pearson
- Wellcome Sanger Institute, Hinxton, UK,MRC Centre for Genomics and Global Health, Big Data Institute, University of Oxford, Oxford, UK
| | - Norbert Peshu
- KEMRI Wellcome Trust Research Programme, Kilifi, Kenya
| | - Aung Pyae Phyo
- Mahidol-Oxford Tropical Medicine Research Unit (MORU), Bangkok, Thailand,Shoklo Malaria Research Unit, Bangkok, Thailand
| | - Chris V. Plowe
- School of Medicine, University of Maryland, Baltimore, MD, USA
| | - Ric N. Price
- Mahidol-Oxford Tropical Medicine Research Unit (MORU), Bangkok, Thailand,Menzies School of Health Research, Darwin, Australia,Centre for Tropical Medicine and Global Health, University of Oxford, Oxford, UK
| | | | - Milijaona Randrianarivelojosia
- Institut Pasteur de Madagascar, Antananarivo, Madagascar,Universités d'Antananarivo et de Mahajanga, Antananarivo, Madagascar
| | | | | | - Kirk A. Rockett
- Wellcome Sanger Institute, Hinxton, UK,Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
| | | | - Lastenia Ruiz
- Universidad Nacional de la Amazonia Peruana, Iquitos, Peru
| | - David Saunders
- Department of Immunology and Medicine, US Army Medical Component, Armed Forces Research Institute of Medical Sciences (USAMC-AFRIMS), Bangkok, Thailand
| | - Alex Shayo
- Nelson Mandela Institute of Science and Technology, Arusha, Tanzania
| | - Peter Siba
- Papua New Guinea Institute of Medical Research, Goroka, Papua New Guinea
| | - Victoria J. Simpson
- MRC Centre for Genomics and Global Health, Big Data Institute, University of Oxford, Oxford, UK
| | | | - Xin-zhuan Su
- National Institute of Allergy and Infectious Diseases (NIAID), NIH, Bethesda, USA
| | | | - Shannon Takala-Harrison
- Center for Vaccine Development and Global Health, University of Maryland, School of Medicine, Baltimore, MD, USA
| | - Livingstone Tavul
- Papua New Guinea Institute of Medical Research, Goroka, Papua New Guinea
| | - Vandana Thathy
- KEMRI Wellcome Trust Research Programme, Kilifi, Kenya,Department of Microbiology and Immunology, Columbia University Irving Medical Center, New York, New York, USA
| | | | | | - Joseph Vinetz
- Laboratorio ICEMR-Amazonia, Laboratorios de Investigacion y Desarrollo, Facultad de Ciencias y Filosofia, Universidad Peruana Cayetano Heredia, Lima, Peru,Yale School of Medicine, New Haven, CT, USA
| | - Thomas E. Wellems
- National Institute of Allergy and Infectious Diseases (NIAID), NIH, Bethesda, USA
| | - Jason Wendler
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Nicholas J. White
- Mahidol-Oxford Tropical Medicine Research Unit (MORU), Bangkok, Thailand
| | - Ian Wright
- MRC Centre for Genomics and Global Health, Big Data Institute, University of Oxford, Oxford, UK
| | - William Yavo
- University Félix Houphouët-Boigny, Abidjan, Cote d'Ivoire,Malaria Research and Control Center of the National Institute of Public Health, Abidjan, Cote d'Ivoire
| | - Htut Ye
- Department of Medical Research, Yangon, Myanmar
| |
Collapse
|
|
18
|
Ahouidi A, Ali M, Almagro-Garcia J, Amambua-Ngwa A, Amaratunga C, Amato R, Amenga-Etego L, Andagalu B, Anderson TJC, Andrianaranjaka V, Apinjoh T, Ariani C, Ashley EA, Auburn S, Awandare GA, Ba H, Baraka V, Barry AE, Bejon P, Bertin GI, Boni MF, Borrmann S, Bousema T, Branch O, Bull PC, Busby GBJ, Chookajorn T, Chotivanich K, Claessens A, Conway D, Craig A, D'Alessandro U, Dama S, Day NPJ, Denis B, Diakite M, Djimdé A, Dolecek C, Dondorp AM, Drakeley C, Drury E, Duffy P, Echeverry DF, Egwang TG, Erko B, Fairhurst RM, Faiz A, Fanello CA, Fukuda MM, Gamboa D, Ghansah A, Golassa L, Goncalves S, Hamilton WL, Harrison GLA, Hart L, Henrichs C, Hien TT, Hill CA, Hodgson A, Hubbart C, Imwong M, Ishengoma DS, Jackson SA, Jacob CG, Jeffery B, Jeffreys AE, Johnson KJ, Jyothi D, Kamaliddin C, Kamau E, Kekre M, Kluczynski K, Kochakarn T, Konaté A, Kwiatkowski DP, Kyaw MP, Lim P, Lon C, Loua KM, Maïga-Ascofaré O, Malangone C, Manske M, Marfurt J, Marsh K, Mayxay M, Miles A, Miotto O, Mobegi V, Mokuolu OA, Montgomery J, Mueller I, Newton PN, Nguyen T, Nguyen TN, Noedl H, Nosten F, Noviyanti R, Nzila A, Ochola-Oyier LI, Ocholla H, Oduro A, Omedo I, Onyamboko MA, Ouedraogo JB, Oyebola K, Pearson RD, Peshu N, Phyo AP, Plowe CV, Price RN, Pukrittayakamee S, Randrianarivelojosia M, Rayner JC, Ringwald P, Rockett KA, Rowlands K, Ruiz L, Saunders D, Shayo A, Siba P, Simpson VJ, Stalker J, Su XZ, Sutherland C, Takala-Harrison S, Tavul L, Thathy V, Tshefu A, Verra F, Vinetz J, Wellems TE, Wendler J, White NJ, Wright I, Yavo W, Ye H. An open dataset of Plasmodium falciparum genome variation in 7,000 worldwide samples. Wellcome Open Res 2021; 6:42. [PMID: 33824913 PMCID: PMC8008441.2 DOI: 10.12688/wellcomeopenres.16168.2] [Citation(s) in RCA: 41] [Impact Index Per Article: 13.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/28/2021] [Indexed: 02/02/2023] Open
Abstract
MalariaGEN is a data-sharing network that enables groups around the world to work together on the genomic epidemiology of malaria. Here we describe a new release of curated genome variation data on 7,000 Plasmodium falciparum samples from MalariaGEN partner studies in 28 malaria-endemic countries. High-quality genotype calls on 3 million single nucleotide polymorphisms (SNPs) and short indels were produced using a standardised analysis pipeline. Copy number variants associated with drug resistance and structural variants that cause failure of rapid diagnostic tests were also analysed. Almost all samples showed genetic evidence of resistance to at least one antimalarial drug, and some samples from Southeast Asia carried markers of resistance to six commonly-used drugs. Genes expressed during the mosquito stage of the parasite life-cycle are prominent among loci that show strong geographic differentiation. By continuing to enlarge this open data resource we aim to facilitate research into the evolutionary processes affecting malaria control and to accelerate development of the surveillance toolkit required for malaria elimination.
Collapse
Affiliation(s)
| | | | - Mozam Ali
- Wellcome Sanger Institute, Hinxton, UK
| | - Jacob Almagro-Garcia
- Wellcome Sanger Institute, Hinxton, UK,MRC Centre for Genomics and Global Health, Big Data Institute, University of Oxford, Oxford, UK
| | - Alfred Amambua-Ngwa
- Wellcome Sanger Institute, Hinxton, UK,Medical Research Council Unit The Gambia, at the London School of Hygiene and Tropical Medicine, Banjul, The Gambia
| | - Chanaki Amaratunga
- National Institute of Allergy and Infectious Diseases (NIAID), NIH, Bethesda, USA
| | - Roberto Amato
- Wellcome Sanger Institute, Hinxton, UK,MRC Centre for Genomics and Global Health, Big Data Institute, University of Oxford, Oxford, UK
| | - Lucas Amenga-Etego
- Navrongo Health Research Centre, Ghana Health Service, Navrongo, Ghana,West African Centre for Cell Biology of Infectious Pathogens (WACCBIP), University of Ghana, Accra, Ghana
| | - Ben Andagalu
- United States Army Medical Research Directorate-Africa, Kenya Medical Research Institute/Walter Reed Project, Kisumu, Kenya
| | | | | | | | | | - Elizabeth A Ashley
- Mahidol-Oxford Tropical Medicine Research Unit (MORU), Bangkok, Thailand
| | - Sarah Auburn
- Menzies School of Health Research, Darwin, Australia,Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Gordon A. Awandare
- West African Centre for Cell Biology of Infectious Pathogens (WACCBIP), University of Ghana, Accra, Ghana,University of Ghana, Legon, Ghana
| | - Hampate Ba
- Institut National de Recherche en Santé Publique, Nouakchott, Mauritania
| | - Vito Baraka
- National Institute for Medical Research (NIMR), Dar es Salaam, Tanzania,Department of Epidemiology, International Health Unit, University of Antwerp, Antwerp, Belgium
| | - Alyssa E. Barry
- Deakin University, Geelong, Australia,Burnet Institute, Melbourne, Australia,Walter and Eliza Hall Institute, Melbourne, Australia
| | - Philip Bejon
- KEMRI Wellcome Trust Research Programme, Kilifi, Kenya
| | | | - Maciej F. Boni
- Nuffield Department of Medicine, University of Oxford, Oxford, UK,Oxford University Clinical Research Unit (OUCRU), Ho Chi Minh City, Vietnam
| | - Steffen Borrmann
- Institute for Tropical Medicine, University of Tübingen, Tübingen, Germany
| | - Teun Bousema
- London School of Hygiene and Tropical Medicine, London, UK,Radboud University Medical Center, Nijmegen, The Netherlands
| | - Oralee Branch
- NYU School of Medicine Langone Medical Center, New York, USA
| | - Peter C. Bull
- KEMRI Wellcome Trust Research Programme, Kilifi, Kenya,Department of Pathology, University of Cambridge, Cambridge, UK
| | - George B. J. Busby
- MRC Centre for Genomics and Global Health, Big Data Institute, University of Oxford, Oxford, UK
| | | | | | - Antoine Claessens
- Medical Research Council Unit The Gambia, at the London School of Hygiene and Tropical Medicine, Banjul, The Gambia,LPHI, MIVEGEC, INSERM, CNRS, IRD, University of Montpellier, Montpellier, France
| | - David Conway
- London School of Hygiene and Tropical Medicine, London, UK
| | - Alister Craig
- Liverpool School of Tropical Medicine, Liverpool, UK,Malawi-Liverpool-Wellcome Trust Clinical Research, Blantyre, Malawi
| | - Umberto D'Alessandro
- Medical Research Council Unit The Gambia, at the London School of Hygiene and Tropical Medicine, Banjul, The Gambia
| | - Souleymane Dama
- Malaria Research and Training Centre, University of Science, Techniques and Technologies of Bamako, Bamako, Mali
| | - Nicholas PJ Day
- Mahidol-Oxford Tropical Medicine Research Unit (MORU), Bangkok, Thailand
| | - Brigitte Denis
- Malawi-Liverpool-Wellcome Trust Clinical Research, Blantyre, Malawi
| | - Mahamadou Diakite
- Malaria Research and Training Centre, University of Science, Techniques and Technologies of Bamako, Bamako, Mali
| | - Abdoulaye Djimdé
- Malaria Research and Training Centre, University of Science, Techniques and Technologies of Bamako, Bamako, Mali
| | | | - Arjen M Dondorp
- Mahidol-Oxford Tropical Medicine Research Unit (MORU), Bangkok, Thailand
| | - Chris Drakeley
- London School of Hygiene and Tropical Medicine, London, UK
| | | | - Patrick Duffy
- National Institute of Allergy and Infectious Diseases (NIAID), NIH, Bethesda, USA
| | - Diego F. Echeverry
- Centro Internacional de Entrenamiento e Investigaciones Médicas - CIDEIM, Cali, Colombia,Universidad Icesi, Cali, Colombia
| | | | - Berhanu Erko
- Aklilu Lemma Institute of Pathobiology, Addis Ababa University, Addis Ababa, Ethiopia
| | | | | | | | - Mark M. Fukuda
- Department of Immunology and Medicine, US Army Medical Component, Armed Forces Research Institute of Medical Sciences (USAMC-AFRIMS), Bangkok, Thailand
| | - Dionicia Gamboa
- Laboratorio ICEMR-Amazonia, Laboratorios de Investigacion y Desarrollo, Facultad de Ciencias y Filosofia, Universidad Peruana Cayetano Heredia, Lima, Peru
| | - Anita Ghansah
- Nogouchi Memorial Institute for Medical Research, Legon-Accra, Ghana
| | - Lemu Golassa
- Aklilu Lemma Institute of Pathobiology, Addis Ababa University, Addis Ababa, Ethiopia
| | | | - William L. Hamilton
- Wellcome Sanger Institute, Hinxton, UK,Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | | | - Lee Hart
- MRC Centre for Genomics and Global Health, Big Data Institute, University of Oxford, Oxford, UK
| | - Christa Henrichs
- MRC Centre for Genomics and Global Health, Big Data Institute, University of Oxford, Oxford, UK
| | - Tran Tinh Hien
- Oxford University Clinical Research Unit (OUCRU), Ho Chi Minh City, Vietnam,Centre for Tropical Medicine and Global Health, University of Oxford, Oxford, UK
| | | | | | - Christina Hubbart
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
| | | | - Deus S. Ishengoma
- National Institute for Medical Research (NIMR), Dar es Salaam, Tanzania,East African Consortium for Clinical Research (EACCR), Dar es Salaam, Tanzania
| | - Scott A. Jackson
- Center for Applied Genetic Technologies, University of Georgia, Athens, GA, USA
| | | | - Ben Jeffery
- MRC Centre for Genomics and Global Health, Big Data Institute, University of Oxford, Oxford, UK
| | - Anna E. Jeffreys
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Kimberly J. Johnson
- MRC Centre for Genomics and Global Health, Big Data Institute, University of Oxford, Oxford, UK
| | | | | | - Edwin Kamau
- Walter Reed Army Institute of Research, U.S. Military HIV Research Program, Silver Spring, MD, USA
| | | | - Krzysztof Kluczynski
- MRC Centre for Genomics and Global Health, Big Data Institute, University of Oxford, Oxford, UK
| | - Theerarat Kochakarn
- Wellcome Sanger Institute, Hinxton, UK,Mahidol University, Bangkok, Thailand
| | | | - Dominic P. Kwiatkowski
- Wellcome Sanger Institute, Hinxton, UK,MRC Centre for Genomics and Global Health, Big Data Institute, University of Oxford, Oxford, UK,Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Myat Phone Kyaw
- The Myanmar Oxford Clinical Research Unit, University of Oxford, Yangon, Myanmar,University of Public Health, Yangon, Myanmar
| | - Pharath Lim
- National Institute of Allergy and Infectious Diseases (NIAID), NIH, Bethesda, USA,Medical Care Development International, Maryland, USA
| | - Chanthap Lon
- Department of Immunology and Medicine, US Army Medical Component, Armed Forces Research Institute of Medical Sciences (USAMC-AFRIMS), Bangkok, Thailand
| | | | - Oumou Maïga-Ascofaré
- Malaria Research and Training Centre, University of Science, Techniques and Technologies of Bamako, Bamako, Mali,Bernhard Nocht Institute for Tropical Medicine, Hamburg, Germany,Research in Tropical Medicine, Kwame Nkrumah University of Sciences and Technology, Kumasi, Ghana
| | | | | | - Jutta Marfurt
- Menzies School of Health Research, Darwin, Australia
| | - Kevin Marsh
- Nuffield Department of Medicine, University of Oxford, Oxford, UK,African Academy of Sciences, Nairobi, Kenya
| | - Mayfong Mayxay
- Lao-Oxford-Mahosot Hospital-Wellcome Trust Research Unit (LOMWRU), Vientiane, Lao People's Democratic Republic,Institute of Research and Education Development (IRED), University of Health Sciences, Ministry of Health, Vientiane, Lao People's Democratic Republic
| | - Alistair Miles
- Wellcome Sanger Institute, Hinxton, UK,MRC Centre for Genomics and Global Health, Big Data Institute, University of Oxford, Oxford, UK
| | - Olivo Miotto
- Wellcome Sanger Institute, Hinxton, UK,MRC Centre for Genomics and Global Health, Big Data Institute, University of Oxford, Oxford, UK,Mahidol-Oxford Tropical Medicine Research Unit (MORU), Bangkok, Thailand
| | - Victor Mobegi
- School of Medicine, University of Nairobi, Nairobi, Kenya
| | - Olugbenga A. Mokuolu
- Department of Paediatrics and Child Health, University of Ilorin, Ilorin, Nigeria
| | - Jacqui Montgomery
- Institute of Vector-Borne Disease, Monash University, Clayton, Victoria, 3800, Australia
| | - Ivo Mueller
- Walter and Eliza Hall Institute, Melbourne, Australia,Barcelona Centre for International Health Research, Barcelona, Spain
| | - Paul N. Newton
- Wellcome Trust-Mahosot Hospital-Oxford Tropical Medicine Research Collaboration, Vientiane, Lao People's Democratic Republic
| | | | - Thuy-Nhien Nguyen
- Oxford University Clinical Research Unit (OUCRU), Ho Chi Minh City, Vietnam
| | - Harald Noedl
- MARIB - Malaria Research Initiative Bandarban, Bandarban, Bangladesh
| | - Francois Nosten
- Nuffield Department of Medicine, University of Oxford, Oxford, UK,Shoklo Malaria Research Unit, Bangkok, Thailand
| | | | - Alexis Nzila
- King Fahid University of Petroleum and Minerals (KFUMP), Dharhran, Saudi Arabia
| | | | - Harold Ocholla
- KEMRI - Centres for Disease Control and Prevention (CDC) Research Program, Kisumu, Kenya,Centre for Bioinformatics and Biotechnology, University of Nairobi, Nairobi, Kenya
| | - Abraham Oduro
- Navrongo Health Research Centre, Ghana Health Service, Navrongo, Ghana
| | - Irene Omedo
- KEMRI Wellcome Trust Research Programme, Kilifi, Kenya
| | - Marie A. Onyamboko
- Kinshasa School of Public Health, University of Kinshasa, Kinshasa, Congo, Democratic Republic
| | | | - Kolapo Oyebola
- Nigerian Institute of Medical Research, Lagos, Nigeria,Parasitology and Bioinformatics Unit, Faculty of Science, University of Lagos, Lagos, Nigeria
| | - Richard D. Pearson
- Wellcome Sanger Institute, Hinxton, UK,MRC Centre for Genomics and Global Health, Big Data Institute, University of Oxford, Oxford, UK
| | - Norbert Peshu
- KEMRI Wellcome Trust Research Programme, Kilifi, Kenya
| | - Aung Pyae Phyo
- Mahidol-Oxford Tropical Medicine Research Unit (MORU), Bangkok, Thailand,Shoklo Malaria Research Unit, Bangkok, Thailand
| | - Chris V. Plowe
- School of Medicine, University of Maryland, Baltimore, MD, USA
| | - Ric N. Price
- Mahidol-Oxford Tropical Medicine Research Unit (MORU), Bangkok, Thailand,Menzies School of Health Research, Darwin, Australia,Centre for Tropical Medicine and Global Health, University of Oxford, Oxford, UK
| | | | - Milijaona Randrianarivelojosia
- Institut Pasteur de Madagascar, Antananarivo, Madagascar,Universités d'Antananarivo et de Mahajanga, Antananarivo, Madagascar
| | | | | | - Kirk A. Rockett
- Wellcome Sanger Institute, Hinxton, UK,Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
| | | | - Lastenia Ruiz
- Universidad Nacional de la Amazonia Peruana, Iquitos, Peru
| | - David Saunders
- Department of Immunology and Medicine, US Army Medical Component, Armed Forces Research Institute of Medical Sciences (USAMC-AFRIMS), Bangkok, Thailand
| | - Alex Shayo
- Nelson Mandela Institute of Science and Technology, Arusha, Tanzania
| | - Peter Siba
- Papua New Guinea Institute of Medical Research, Goroka, Papua New Guinea
| | - Victoria J. Simpson
- MRC Centre for Genomics and Global Health, Big Data Institute, University of Oxford, Oxford, UK
| | | | - Xin-zhuan Su
- National Institute of Allergy and Infectious Diseases (NIAID), NIH, Bethesda, USA
| | | | - Shannon Takala-Harrison
- Center for Vaccine Development and Global Health, University of Maryland, School of Medicine, Baltimore, MD, USA
| | - Livingstone Tavul
- Papua New Guinea Institute of Medical Research, Goroka, Papua New Guinea
| | - Vandana Thathy
- KEMRI Wellcome Trust Research Programme, Kilifi, Kenya,Department of Microbiology and Immunology, Columbia University Irving Medical Center, New York, New York, USA
| | | | | | - Joseph Vinetz
- Laboratorio ICEMR-Amazonia, Laboratorios de Investigacion y Desarrollo, Facultad de Ciencias y Filosofia, Universidad Peruana Cayetano Heredia, Lima, Peru,Yale School of Medicine, New Haven, CT, USA
| | - Thomas E. Wellems
- National Institute of Allergy and Infectious Diseases (NIAID), NIH, Bethesda, USA
| | - Jason Wendler
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Nicholas J. White
- Mahidol-Oxford Tropical Medicine Research Unit (MORU), Bangkok, Thailand
| | - Ian Wright
- MRC Centre for Genomics and Global Health, Big Data Institute, University of Oxford, Oxford, UK
| | - William Yavo
- University Félix Houphouët-Boigny, Abidjan, Cote d'Ivoire,Malaria Research and Control Center of the National Institute of Public Health, Abidjan, Cote d'Ivoire
| | - Htut Ye
- Department of Medical Research, Yangon, Myanmar
| |
Collapse
|
|
19
|
Abstract
Crop genomics remains a key element in ensuring scientific progress to secure global food security. It has been two decades since the sequence of the first plant genome, that of Arabidopsis thaliana, was released, and soon after that the draft sequencing of the rice genome was completed. Since then, the genomes of more than 100 crops have been sequenced, plant genome research has expanded across multiple fronts and the next few years promise to bring further advances spurred by the advent of new technologies and approaches. We are likely to see continued innovations in crop genome sequencing, genetic mapping and the acquisition of multiple levels of biological data. There will be exciting opportunities to integrate genome-scale information across multiple scales of biological organization, leading to advances in our mechanistic understanding of crop biological processes, which will, in turn, provide greater impetus for translation of laboratory results to the field.
Collapse
Affiliation(s)
- Michael D Purugganan
- Center for Genomics and Systems Biology, New York University, New York, NY, USA. .,Center for Genomics and Systems Biology, New York University Abu Dhabi, Abu Dhabi, United Arab Emirates.
| | | |
Collapse
|
|
20
|
Trucchi E, Benazzo A, Lari M, Iob A, Vai S, Nanni L, Bellucci E, Bitocchi E, Raffini F, Xu C, Jackson SA, Lema V, Babot P, Oliszewski N, Gil A, Neme G, Michieli CT, De Lorenzi M, Calcagnile L, Caramelli D, Star B, de Boer H, Boessenkool S, Papa R, Bertorelle G. Author Correction: Ancient genomes reveal early Andean farmers selected common beans while preserving diversity. Nat Plants 2021; 7:377. [PMID: 33664508 DOI: 10.1038/s41477-021-00892-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Affiliation(s)
- Emiliano Trucchi
- Department of Life and Environmental Sciences, Marche Polytechnic University, Ancona, Italy.
- Department of Life Sciences and Biotechnology, University of Ferrara, Ferrara, Italy.
| | - Andrea Benazzo
- Department of Life Sciences and Biotechnology, University of Ferrara, Ferrara, Italy
| | - Martina Lari
- Department of Biology, University of Florence, Firenze, Italy
| | - Alice Iob
- Department of Life Sciences and Biotechnology, University of Ferrara, Ferrara, Italy
| | - Stefania Vai
- Department of Biology, University of Florence, Firenze, Italy
| | - Laura Nanni
- Department of Agricultural, Food, and Environmental Sciences, Marche Polytechnic University, Ancona, Italy
| | - Elisa Bellucci
- Department of Agricultural, Food, and Environmental Sciences, Marche Polytechnic University, Ancona, Italy
| | - Elena Bitocchi
- Department of Agricultural, Food, and Environmental Sciences, Marche Polytechnic University, Ancona, Italy
| | - Francesca Raffini
- Department of Life Sciences and Biotechnology, University of Ferrara, Ferrara, Italy
| | - Chunming Xu
- Center for Applied Genetic Technologies, University of Georgia, Athens, GA, USA
| | - Scott A Jackson
- Center for Applied Genetic Technologies, University of Georgia, Athens, GA, USA
| | - Verónica Lema
- Universidad Nacional de Córdoba, Córdoba, Argentina
- Conicet, Consejo Nacional de Investigaciones Científicas y Técnicas, Córdoba, Argentina
| | - Pilar Babot
- ISES, Instituto Superior de Estudios Sociales, CONICET, Consejo Nacional de Investigaciones Científicas y Técnicas, Tucumán, Argentina
- Instituto de Arqueología y Museo, Universidad Nacional de Tucumán, Tucumán, Argentina
| | - Nurit Oliszewski
- ISES, Instituto Superior de Estudios Sociales, CONICET, Consejo Nacional de Investigaciones Científicas y Técnicas, Tucumán, Argentina
- Universidad Nacional de Tucumán, Tucumán, Argentina
| | - Adolfo Gil
- Instituto de Evolución, Ecología Histórica y Ambiente (CONICET & UTN FRSR), San Rafael, Argentina
- Museo de Historia Natural de San Rafael, San Rafael, Argentina
| | - Gustavo Neme
- Instituto de Evolución, Ecología Histórica y Ambiente (CONICET & UTN FRSR), San Rafael, Argentina
- Museo de Historia Natural de San Rafael, San Rafael, Argentina
| | - Catalina Teresa Michieli
- Instituto de Investigaciones Arqueológicas y Museo "Prof. Mariano Gambier", Universidad Nacional de San Juan, San Juan, Argentina
| | | | - Lucio Calcagnile
- CEDAD (Centre of Applied Physics, Dating and Diagnostics), Department of Mathematics and Physics "Ennio De Giorgi", University of Salento, Lecce, Italy
| | - David Caramelli
- Department of Biology, University of Florence, Firenze, Italy
| | - Bastiaan Star
- Centre for Ecological and Evolutionary Synthesis, Department of Biosciences, University of Oslo, Oslo, Norway
| | - Hugo de Boer
- Natural History Museum, University of Oslo, Oslo, Norway
| | - Sanne Boessenkool
- Centre for Ecological and Evolutionary Synthesis, Department of Biosciences, University of Oslo, Oslo, Norway
| | - Roberto Papa
- Department of Agricultural, Food, and Environmental Sciences, Marche Polytechnic University, Ancona, Italy
| | - Giorgio Bertorelle
- Department of Life Sciences and Biotechnology, University of Ferrara, Ferrara, Italy.
| |
Collapse
|
|
21
|
Trucchi E, Benazzo A, Lari M, Iob A, Vai S, Nanni L, Bellucci E, Bitocchi E, Raffini F, Xu C, Jackson SA, Lema V, Babot P, Oliszewski N, Gil A, Neme G, Michieli CT, De Lorenzi M, Calcagnile L, Caramelli D, Star B, de Boer H, Boessenkool S, Papa R, Bertorelle G. Ancient genomes reveal early Andean farmers selected common beans while preserving diversity. Nat Plants 2021; 7:123-128. [PMID: 33558754 DOI: 10.1038/s41477-021-00848-7] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/19/2019] [Accepted: 01/04/2021] [Indexed: 05/10/2023]
Abstract
All crops are the product of a domestication process that started less than 12,000 years ago from one or more wild populations1,2. Farmers selected desirable phenotypic traits (such as improved energy accumulation, palatability of seeds and reduced natural shattering3) while leading domesticated populations through several more or less gradual demographic contractions2,4. As a consequence, the erosion of wild genetic variation5 is typical of modern cultivars, making them highly susceptible to pathogens, pests and environmental change6,7. The loss of genetic diversity hampers further crop improvement programmes to increase food production in a changing world, posing serious threats to food security8,9. Using both ancient and modern seeds, we analysed the temporal dynamics of genetic variation and selection during the domestication process of the common bean (Phaseolus vulgaris) in the southern Andes. Here, we show that most domestic traits were selected for before 2,500 years ago, with no or only minor loss of whole-genome heterozygosity. In fact, most of the changes at coding genes and linked regions that differentiate wild and domestic genomes are already present in the ancient genomes analysed here, and all ancient domestic genomes dated between 600 and 2,500 years ago are highly variable (at least as variable as modern genomes from the wild). Single seeds from modern cultivars show reduced variation when compared with ancient seeds, indicating that intensive selection within cultivars in the past few centuries probably partitioned ancestral variation within different genetically homogenous cultivars. When cultivars from different Andean regions are pooled, the genomic variation of the pool is higher than that observed in the pool of ancient seeds from north and central western Argentina. Considering that most desirable phenotypic traits are probably controlled by multiple polymorphic genes10, a plausible explanation of this decoupling of selection and genetic erosion is that early farmers applied a relatively weak selection pressure2 by using many phenotypically similar but genetically diverse individuals as parents. Our results imply that selection strategies during the past few centuries, as compared with earlier times, more intensively reduced genetic variation within cultivars and produced further improvements by focusing on a few plants carrying the traits of interest, at the cost of marked genetic erosion within Andean landraces.
Collapse
Affiliation(s)
- Emiliano Trucchi
- Department of Life and Environmental Sciences, Marche Polytechnic University, Ancona, Italy.
- Department of Life Sciences and Biotechnology, University of Ferrara, Ferrara, Italy.
| | - Andrea Benazzo
- Department of Life Sciences and Biotechnology, University of Ferrara, Ferrara, Italy
| | - Martina Lari
- Department of Biology, University of Florence, Firenze, Italy
| | - Alice Iob
- Department of Life Sciences and Biotechnology, University of Ferrara, Ferrara, Italy
| | - Stefania Vai
- Department of Biology, University of Florence, Firenze, Italy
| | - Laura Nanni
- Department of Agricultural, Food, and Environmental Sciences, Marche Polytechnic University, Ancona, Italy
| | - Elisa Bellucci
- Department of Agricultural, Food, and Environmental Sciences, Marche Polytechnic University, Ancona, Italy
| | - Elena Bitocchi
- Department of Agricultural, Food, and Environmental Sciences, Marche Polytechnic University, Ancona, Italy
| | - Francesca Raffini
- Department of Life Sciences and Biotechnology, University of Ferrara, Ferrara, Italy
| | - Chunming Xu
- Center for Applied Genetic Technologies, University of Georgia, Athens, GA, USA
| | - Scott A Jackson
- Center for Applied Genetic Technologies, University of Georgia, Athens, GA, USA
| | - Verónica Lema
- Universidad Nacional de Córdoba, Córdoba, Argentina
- Conicet, Consejo Nacional de Investigaciones Científicas y Técnicas, Córdoba, Argentina
| | - Pilar Babot
- ISES, Instituto Superior de Estudios Sociales, CONICET, Consejo Nacional de Investigaciones Científicas y Técnicas, Tucumán, Argentina
- Instituto de Arqueología y Museo, Universidad Nacional de Tucumán, Tucumán, Argentina
| | - Nurit Oliszewski
- ISES, Instituto Superior de Estudios Sociales, CONICET, Consejo Nacional de Investigaciones Científicas y Técnicas, Tucumán, Argentina
- Universidad Nacional de Tucumán, Tucumán, Argentina
| | - Adolfo Gil
- Instituto de Evolución, Ecología Histórica y Ambiente (CONICET & UTN FRSR), San Rafael, Argentina
- Museo de Historia Natural de San Rafael, San Rafael, Argentina
| | - Gustavo Neme
- Instituto de Evolución, Ecología Histórica y Ambiente (CONICET & UTN FRSR), San Rafael, Argentina
- Museo de Historia Natural de San Rafael, San Rafael, Argentina
| | - Catalina Teresa Michieli
- Instituto de Investigaciones Arqueológicas y Museo "Prof. Mariano Gambier", Universidad Nacional de San Juan, San Juan, Argentina
| | | | - Lucio Calcagnile
- CEDAD (Centre of Applied Physics, Dating and Diagnostics), Department of Mathematics and Physics "Ennio De Giorgi", University of Salento, Lecce, Italy
| | - David Caramelli
- Department of Biology, University of Florence, Firenze, Italy
| | - Bastiaan Star
- Centre for Ecological and Evolutionary Synthesis, Department of Biosciences, University of Oslo, Oslo, Norway
| | - Hugo de Boer
- Natural History Museum, University of Oslo, Oslo, Norway
| | - Sanne Boessenkool
- Centre for Ecological and Evolutionary Synthesis, Department of Biosciences, University of Oslo, Oslo, Norway
| | - Roberto Papa
- Department of Agricultural, Food, and Environmental Sciences, Marche Polytechnic University, Ancona, Italy
| | - Giorgio Bertorelle
- Department of Life Sciences and Biotechnology, University of Ferrara, Ferrara, Italy.
| |
Collapse
|
|
22
|
Thudi M, Palakurthi R, Schnable JC, Chitikineni A, Dreisigacker S, Mace E, Srivastava RK, Satyavathi CT, Odeny D, Tiwari VK, Lam HM, Hong YB, Singh VK, Li G, Xu Y, Chen X, Kaila S, Nguyen H, Sivasankar S, Jackson SA, Close TJ, Shubo W, Varshney RK. Genomic resources in plant breeding for sustainable agriculture. J Plant Physiol 2021; 257:153351. [PMID: 33412425 PMCID: PMC7903322 DOI: 10.1016/j.jplph.2020.153351] [Citation(s) in RCA: 45] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/20/2020] [Revised: 12/14/2020] [Accepted: 12/14/2020] [Indexed: 05/19/2023]
Abstract
Climate change during the last 40 years has had a serious impact on agriculture and threatens global food and nutritional security. From over half a million plant species, cereals and legumes are the most important for food and nutritional security. Although systematic plant breeding has a relatively short history, conventional breeding coupled with advances in technology and crop management strategies has increased crop yields by 56 % globally between 1965-85, referred to as the Green Revolution. Nevertheless, increased demand for food, feed, fiber, and fuel necessitates the need to break existing yield barriers in many crop plants. In the first decade of the 21st century we witnessed rapid discovery, transformative technological development and declining costs of genomics technologies. In the second decade, the field turned towards making sense of the vast amount of genomic information and subsequently moved towards accurately predicting gene-to-phenotype associations and tailoring plants for climate resilience and global food security. In this review we focus on genomic resources, genome and germplasm sequencing, sequencing-based trait mapping, and genomics-assisted breeding approaches aimed at developing biotic stress resistant, abiotic stress tolerant and high nutrition varieties in six major cereals (rice, maize, wheat, barley, sorghum and pearl millet), and six major legumes (soybean, groundnut, cowpea, common bean, chickpea and pigeonpea). We further provide a perspective and way forward to use genomic breeding approaches including marker-assisted selection, marker-assisted backcrossing, haplotype based breeding and genomic prediction approaches coupled with machine learning and artificial intelligence, to speed breeding approaches. The overall goal is to accelerate genetic gains and deliver climate resilient and high nutrition crop varieties for sustainable agriculture.
Collapse
Affiliation(s)
- Mahendar Thudi
- Center of Excellence in Genomics & Systems Biology, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India; University of Southern Queensland, Toowoomba, Australia
| | - Ramesh Palakurthi
- Center of Excellence in Genomics & Systems Biology, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India
| | | | - Annapurna Chitikineni
- Center of Excellence in Genomics & Systems Biology, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India
| | | | - Emma Mace
- Agri-Science Queensland, Department of Agriculture & Fisheries (DAF), Warwick, Australia
| | - Rakesh K Srivastava
- Center of Excellence in Genomics & Systems Biology, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India
| | - C Tara Satyavathi
- Indian Council of Agricultural Research (ICAR)- Indian Agricultural Research Institute (IARI), New Delhi, India
| | - Damaris Odeny
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Nairobi, Kenya
| | | | - Hon-Ming Lam
- Center for Soybean Research of the State Key Laboratory of Agrobiotechnology and School of Life Sciences, The Chinese University of Hong Kong, Shatin, Hong Kong Special Administrative Region
| | - Yan Bin Hong
- Crops Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, China
| | - Vikas K Singh
- South Asia Hub, International Rice Research Institute (IRRI), Hyderabad, India
| | - Guowei Li
- Shandong Academy of Agricultural Sciences, Jinan, China
| | - Yunbi Xu
- International Maize and Wheat Improvement Center (CYMMIT), Mexico DF, Mexico; Chinese Academy of Agricultural Sciences, Beijing, China
| | - Xiaoping Chen
- Crops Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, China
| | - Sanjay Kaila
- Department of Biotechnology, Ministry of Science and Technology, Government of India, India
| | - Henry Nguyen
- National Centre for Soybean Research, University of Missouri, Columbia, USA
| | - Sobhana Sivasankar
- Joint FAO/IAEA Division of Nuclear Techniques in Food and Agriculture, Vienna, Austria
| | | | | | - Wan Shubo
- Shandong Academy of Agricultural Sciences, Jinan, China
| | - Rajeev K Varshney
- Center of Excellence in Genomics & Systems Biology, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India.
| |
Collapse
|
|
23
|
Liu B, Iwata-Otsubo A, Yang D, Baker RL, Liang C, Jackson SA, Liu S, Ma J, Zhao M. Analysis of CACTA transposase genes unveils the mechanism of intron loss and distinct small RNA silencing pathways underlying divergent evolution of Brassica genomes. Plant J 2021; 105:34-48. [PMID: 33098166 DOI: 10.1111/tpj.15037] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/14/2020] [Revised: 10/19/2020] [Accepted: 10/13/2020] [Indexed: 06/11/2023]
Abstract
In comparison with retrotransposons, DNA transposons make up a smaller proportion of most plant genomes. However, these elements are often proximal to genes to affect gene expression depending on the activity of the transposons, which is largely reflected by the activity of the transposase genes. Here, we show that three AT-rich introns were retained in the TNP2-like transposase genes of the Bot1 (Brassica oleracea transposon 1) CACTA transposable elements in Brassica oleracea, but were lost in the majority of the Bot1 elements in Brassica rapa. A recent burst of transposition of Bot1 was observed in B. oleracea, but not in B. rapa. This burst of transposition is likely related to the activity of the TNP2-like transposase genes as the expression values of the transposase genes were higher in B. oleracea than in B. rapa. In addition, distinct populations of small RNAs (21, 22 and 24 nt) were detected from the Bot1 elements in B. oleracea, but the vast majority of the small RNAs from the Bot1 elements in B. rapa are 24 nt in length. We hypothesize that the different activity of the TNP2-like transposase genes is likely associated with the three introns, and intron loss is likely reverse transcriptase mediated. Furthermore, we propose that the Bot1 family is currently undergoing silencing in B. oleracea, but has already been silenced in B. rapa. Taken together, our data provide new insights into the differentiation of transposons and their role in the asymmetric evolution of these two closely related Brassica species.
Collapse
Affiliation(s)
- Beibei Liu
- Department of Biology, Miami University, Oxford, OH, 45056, USA
| | - Aiko Iwata-Otsubo
- Center for Applied Genetic Technologies, University of Georgia, 111 Riverbend Road, Athens, GA, 30602,, USA
| | - Diya Yang
- Department of Biology, Miami University, Oxford, OH, 45056, USA
| | - Robert L Baker
- Department of Biology, Miami University, Oxford, OH, 45056, USA
| | - Chun Liang
- Department of Biology, Miami University, Oxford, OH, 45056, USA
| | - Scott A Jackson
- Center for Applied Genetic Technologies, University of Georgia, 111 Riverbend Road, Athens, GA, 30602,, USA
| | - Shengyi Liu
- Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan, 430062, China
| | - Jianxin Ma
- Department of Agronomy, Purdue University, West Lafayette, IN, 47907, USA
| | - Meixia Zhao
- Department of Biology, Miami University, Oxford, OH, 45056, USA
| |
Collapse
|
|
24
|
Zhao N, Ding X, Lian T, Wang M, Tong Y, Liang D, An Q, Sun S, Jackson SA, Liu B, Xu C. The Effects of Gene Duplication Modes on the Evolution of Regulatory Divergence in Wild and Cultivated Soybean. Front Genet 2020; 11:601003. [PMID: 33363574 PMCID: PMC7753205 DOI: 10.3389/fgene.2020.601003] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2020] [Accepted: 11/04/2020] [Indexed: 12/22/2022] Open
Abstract
Regulatory changes include divergence in both cis-elements and trans-factors, which play roles in organismal evolution. Whole genome duplications (WGD) followed by diploidization are a recurrent feature in the evolutionary history of angiosperms. Prior studies have shown that duplicated genes have different evolutionary fates due to variable selection constraints and results in genomic compositions with hallmarks of paleopolyploidy. The recent sequential WGDs and post-WGD evolution in the common ancestor of cultivated soybean (Glycine max) and wild soybean (Glycine soja), together with other models of gene duplication, have resulted in a highly duplicated genome. In this study, we investigated the transcriptional changes in G. soja and G. max. We identified a sizable proportion of interspecific differentially expressed genes (DEGs) and found parental expression level dominance of G. max in their F1 hybrids. By classifying genes into different regulatory divergence types, we found the trans-regulatory changes played a predominant role in transcriptional divergence between wild and cultivated soybean. The same gene ontology (GO) and protein family (Pfam) terms were found to be over-represented in DEGs and genes of cis-only between JY47 and GS, suggesting the substantial contribution of cis-regulatory divergences to the evolution of wild and cultivated soybeans. By further dissecting genes into five different duplication modes, we found genes in different duplication modes tend to accumulate different types of regulatory differences. A relatively higher proportion of cis-only regulatory divergences was detected in singleton, dispersed, proximal, and tandem duplicates than WGD duplicates and genome-wide level, which is in line with the prediction of gene balance hypothesis for the differential fates of duplicated genes post-WGD. The numbers of cis-only and trans-only regulated genes were similar for singletons, whereas there were more genes of trans-only than cis-only in the rest duplication types, especially in WGD in which there were two times more trans-only genes than that in cis-only type. Tandem duplicates showed the highest proportion of trans-only genes probably due to some special features of this class. In summary, our results demonstrate that genes in different duplication modes have different fates in transcriptional evolution underpinned by cis- or trans-regulatory divergences in soybean and likely in other paleopolyploid higher organisms.
Collapse
Affiliation(s)
- Na Zhao
- Department of Agronomy, Jilin Agricultural University, Changchun, China.,Key Laboratory of Molecular Epigenetics of Ministry of Education (MOE), Northeast Normal University, Changchun, China
| | - Xiaoyang Ding
- Soybean Research Institute, Jilin Academy of Agricultural Sciences, Changchun, China
| | - Taotao Lian
- Key Laboratory of Molecular Epigenetics of Ministry of Education (MOE), Northeast Normal University, Changchun, China
| | - Meng Wang
- Key Laboratory of Molecular Epigenetics of Ministry of Education (MOE), Northeast Normal University, Changchun, China
| | - Yan Tong
- Key Laboratory of Molecular Epigenetics of Ministry of Education (MOE), Northeast Normal University, Changchun, China
| | - Di Liang
- Key Laboratory of Molecular Epigenetics of Ministry of Education (MOE), Northeast Normal University, Changchun, China
| | - Qi An
- Key Laboratory of Molecular Epigenetics of Ministry of Education (MOE), Northeast Normal University, Changchun, China
| | - Siwen Sun
- Department of Agronomy, Jilin Agricultural University, Changchun, China
| | - Scott A Jackson
- Center for Applied Genetic Technologies, University of Georgia, Athens, GA, United States
| | - Bao Liu
- Key Laboratory of Molecular Epigenetics of Ministry of Education (MOE), Northeast Normal University, Changchun, China
| | - Chunming Xu
- Key Laboratory of Molecular Epigenetics of Ministry of Education (MOE), Northeast Normal University, Changchun, China
| |
Collapse
|
|
25
|
Zhao N, Dong Q, Nadon BD, Ding X, Wang X, Dong Y, Liu B, Jackson SA, Xu C. Evolution of Homeologous Gene Expression in Polyploid Wheat. Genes (Basel) 2020; 11:genes11121401. [PMID: 33255795 PMCID: PMC7759873 DOI: 10.3390/genes11121401] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2020] [Revised: 11/16/2020] [Accepted: 11/21/2020] [Indexed: 11/17/2022] Open
Abstract
Polyploidization has played a prominent role in the evolutionary history of plants. Two recent and sequential allopolyploidization events have resulted in the formation of wheat species with different ploidies, and which provide a model to study the effects of polyploidization on the evolution of gene expression. In this study, we identified differentially expressed genes (DEGs) between four BBAA tetraploid wheats of three different ploidy backgrounds. DEGs were found to be unevenly distributed among functional categories and duplication modes. We observed more DEGs in the extracted tetraploid wheat (ETW) than in natural tetraploid wheats (TD and TTR13) as compared to a synthetic tetraploid (AT2). Furthermore, DEGs showed higher Ka/Ks ratios than those that did not show expression changes (non-DEGs) between genotypes, indicating DEGs and non-DEGs experienced different selection pressures. For A-B homeolog pairs with DEGs, most of them had only one differentially expressed copy, however, when both copies of a homeolog pair were DEGs, the A and B copies were more likely to be regulated to the same direction. Our results suggest that both cis- and inter-subgenome trans-regulatory changes are important drivers in the evolution of homeologous gene expression in polyploid wheat, with ploidy playing a significant role in the process.
Collapse
Affiliation(s)
- Na Zhao
- Department of Agronomy, Jilin Agricultural University, Changchun 130118, China;
- Center for Applied Genetic Technologies, University of Georgia, Athens, GA 30602, USA;
| | - Qianli Dong
- Key Laboratory of Molecular Epigenetics of the Ministry of Education (MOE), Northeast Normal University, Changchun 130024, China; (Q.D.); (X.W.); (Y.D.); (B.L.)
| | - Brian D. Nadon
- Center for Applied Genetic Technologies, University of Georgia, Athens, GA 30602, USA;
| | - Xiaoyang Ding
- Soybean Research Institute, Jilin Academy of Agricultural Sciences, Changchun 130033, China;
| | - Xutong Wang
- Key Laboratory of Molecular Epigenetics of the Ministry of Education (MOE), Northeast Normal University, Changchun 130024, China; (Q.D.); (X.W.); (Y.D.); (B.L.)
| | - Yuzhu Dong
- Key Laboratory of Molecular Epigenetics of the Ministry of Education (MOE), Northeast Normal University, Changchun 130024, China; (Q.D.); (X.W.); (Y.D.); (B.L.)
| | - Bao Liu
- Key Laboratory of Molecular Epigenetics of the Ministry of Education (MOE), Northeast Normal University, Changchun 130024, China; (Q.D.); (X.W.); (Y.D.); (B.L.)
| | - Scott A. Jackson
- Center for Applied Genetic Technologies, University of Georgia, Athens, GA 30602, USA;
- Bayer Crop Science, Chesterfield, MO 63017, USA
- Correspondence: or (S.A.J.); (C.X.); Tel.: +86-0431-8509-9367 (C.X.)
| | - Chunming Xu
- Center for Applied Genetic Technologies, University of Georgia, Athens, GA 30602, USA;
- Key Laboratory of Molecular Epigenetics of the Ministry of Education (MOE), Northeast Normal University, Changchun 130024, China; (Q.D.); (X.W.); (Y.D.); (B.L.)
- Correspondence: or (S.A.J.); (C.X.); Tel.: +86-0431-8509-9367 (C.X.)
| |
Collapse
|
|
26
|
Mandal R, Cano R, Davis CD, Hayashi D, Jackson SA, Jones CM, Lampe JW, Latulippe ME, Lin NJ, Lippa KA, Piotrowski P, Da Silva SM, Swanson KS, Wishart DS. Workshop report: Toward the development of a human whole stool reference material for metabolomic and metagenomic gut microbiome measurements. Metabolomics 2020; 16:119. [PMID: 33164148 PMCID: PMC7649161 DOI: 10.1007/s11306-020-01744-5] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/30/2020] [Accepted: 10/29/2020] [Indexed: 02/06/2023]
Abstract
INTRODUCTION To date, there has been little effort to develop standards for metabolome-based gut microbiome measurements despite the significant efforts toward standard development for DNA-based microbiome measurements. OBJECTIVES The National Institute of Standards and Technology (NIST), The BioCollective (TBC), and the North America Branch of the International Life Sciences Institute (ILSI North America) are collaborating to extend NIST's efforts to develop a Human Whole Stool Reference Material for the purpose of method harmonization and eventual quality control. METHODS The reference material will be rationally designed for adequate quality assurance and quality control (QA/QC) for underlying measurements in the study of the impact of diet and nutrition on functional aspects of the host gut microbiome and relationships of those functions to health. To identify which metabolites deserve priority in their value assignment, NIST, TBC, and ILSI North America jointly conducted a workshop on September 12, 2019 at the NIST campus in Gaithersburg, Maryland. The objective of the workshop was to identify metabolites for which evidence indicates relevance to health and disease and to decide on the appropriate course of action to develop a fit-for-purpose reference material. RESULTS This document represents the consensus opinions of workshop participants and co-authors of this manuscript, and provides additional supporting information. In addition to developing general criteria for metabolite selection and a preliminary list of proposed metabolites, this paper describes some of the strengths and limitations of this initiative given the current state of microbiome research. CONCLUSIONS Given the rapidly evolving nature of gut microbiome science and the current state of knowledge, an RM (as opposed to a CRM) measured for multiple metabolites is appropriate at this stage. As the science evolves, the RM can evolve to match the needs of the research community. Ultimately, the stool RM may exist in sequential versions. Beneficial to this evolution will be a clear line of communication between NIST and the stakeholder community to ensure alignment with current scientific understanding and community needs.
Collapse
Affiliation(s)
- Rupasri Mandal
- Department of Biological Sciences, University of Alberta, Edmonton, AB, T6G 2E9, Canada
| | - Raul Cano
- The BioCollective, LLC, 5650 N Washington St, Denver, CO, 80216, USA
| | - Cindy D Davis
- Office of Dietary Supplements, National Institutes of Health, Bethesda, MD, 20852, USA
| | | | - Scott A Jackson
- Material Measurement Laboratory, National Institute of Standards and Technology, Gaithersburg, MD, 20899, USA
| | - Christina M Jones
- Material Measurement Laboratory, National Institute of Standards and Technology, Gaithersburg, MD, 20899, USA
| | - Johanna W Lampe
- Fred Hutchinson Cancer Research Center, 1100 Fairview Ave N, M4-B802, PO Box 19024, Seattle, WA, 98109, USA
| | - Marie E Latulippe
- North American Branch of the International Life Sciences Institute (ILSI North America), 740 15th Street NW, Suite 600, Washington, DC, 20005, USA.
| | - Nancy J Lin
- Material Measurement Laboratory, National Institute of Standards and Technology, Gaithersburg, MD, 20899, USA
| | - Katrice A Lippa
- Material Measurement Laboratory, National Institute of Standards and Technology, Gaithersburg, MD, 20899, USA
| | - Paulina Piotrowski
- Material Measurement Laboratory, National Institute of Standards and Technology, Gaithersburg, MD, 20899, USA
| | - Sandra M Da Silva
- Material Measurement Laboratory, National Institute of Standards and Technology, Gaithersburg, MD, 20899, USA
| | - Kelly S Swanson
- University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA
| | - David S Wishart
- Department of Biological Sciences, University of Alberta, Edmonton, AB, T6G 2E9, Canada
| |
Collapse
|
|
27
|
Jang H, Chase HR, Gangiredla J, Grim CJ, Patel IR, Kothary MH, Jackson SA, Mammel MK, Carter L, Negrete F, Finkelstein S, Weinstein L, Yan Q, Iversen C, Pagotto F, Stephan R, Lehner A, Eshwar AK, Fanning S, Farber J, Gopinath GR, Tall BD, Pava-Ripoll M. Analysis of the Molecular Diversity Among Cronobacter Species Isolated From Filth Flies Using Targeted PCR, Pan Genomic DNA Microarray, and Whole Genome Sequencing Analyses. Front Microbiol 2020; 11:561204. [PMID: 33101235 PMCID: PMC7545074 DOI: 10.3389/fmicb.2020.561204] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2020] [Accepted: 09/03/2020] [Indexed: 11/17/2022] Open
Abstract
Cronobacter species are opportunistic pathogens capable of causing life-threatening infections in humans, with serious complications arising in neonates, infants, immuno-compromised individuals, and elderly adults. The genus is comprised of seven species: Cronobacter sakazakii, Cronobacter malonaticus, Cronobacter turicensis, Cronobacter muytjensii, Cronobacter dublinensis, Cronobacter universalis, and Cronobacter condimenti. Despite a multiplicity of genomic data for the genus, little is known about likely transmission vectors. Using DNA microarray analysis, in parallel with whole genome sequencing, and targeted PCR analyses, the total gene content of two C. malonaticus, three C. turicensis, and 14 C. sakazaki isolated from various filth flies was assessed. Phylogenetic relatedness among these and other strains obtained during surveillance and outbreak investigations were comparatively assessed. Specifically, microarray analysis (MA) demonstrated its utility to cluster strains according to species-specific and sequence type (ST) phylogenetic relatedness, and that the fly strains clustered among strains obtained from clinical, food and environmental sources from United States, Europe, and Southeast Asia. This combinatorial approach was useful in data mining for virulence factor genes, and phage genes and gene clusters. In addition, results of plasmidotyping were in agreement with the species identity for each strain as determined by species-specific PCR assays, MA, and whole genome sequencing. Microarray and BLAST analyses of Cronobacter fly sequence datasets were corroborative and showed that the presence and absence of virulence factors followed species and ST evolutionary lines even though such genes were orthologous. Additionally, zebrafish infectivity studies showed that these pathotypes were as virulent to zebrafish embryos as other clinical strains. In summary, these findings support a striking phylogeny amongst fly, clinical, and surveillance strains isolated during 2010–2015, suggesting that flies are capable vectors for transmission of virulent Cronobacter spp.; they continue to circulate among United States and European populations, environments, and that this “pattern of circulation” has continued over decades.
Collapse
Affiliation(s)
- Hyein Jang
- Center of Food Safety and Applied Nutrition, U. S. Food and Drug Administration, Laurel, MD, United States
| | - Hannah R Chase
- Center of Food Safety and Applied Nutrition, U. S. Food and Drug Administration, Laurel, MD, United States
| | - Jayanthi Gangiredla
- Center of Food Safety and Applied Nutrition, U. S. Food and Drug Administration, Laurel, MD, United States
| | - Christopher J Grim
- Center of Food Safety and Applied Nutrition, U. S. Food and Drug Administration, Laurel, MD, United States
| | - Isha R Patel
- Center of Food Safety and Applied Nutrition, U. S. Food and Drug Administration, Laurel, MD, United States
| | - Mahendra H Kothary
- Center of Food Safety and Applied Nutrition, U. S. Food and Drug Administration, Laurel, MD, United States
| | - Scott A Jackson
- Center of Food Safety and Applied Nutrition, U. S. Food and Drug Administration, Laurel, MD, United States
| | - Mark K Mammel
- Center of Food Safety and Applied Nutrition, U. S. Food and Drug Administration, Laurel, MD, United States
| | - Laurenda Carter
- Center of Food Safety and Applied Nutrition, U. S. Food and Drug Administration, Laurel, MD, United States
| | - Flavia Negrete
- Center of Food Safety and Applied Nutrition, U. S. Food and Drug Administration, Laurel, MD, United States
| | - Samantha Finkelstein
- Center of Food Safety and Applied Nutrition, U. S. Food and Drug Administration, Laurel, MD, United States
| | - Leah Weinstein
- Center of Food Safety and Applied Nutrition, U. S. Food and Drug Administration, Laurel, MD, United States
| | - QiongQiong Yan
- WHO Collaborating Centre for Cronobacter, University College Dublin, Dublin, Ireland.,UCD Centre for Food Safety, School of Public Health, Physiotherapy and Population Science, University College Dublin, Dublin, Ireland
| | - Carol Iversen
- WHO Collaborating Centre for Cronobacter, University College Dublin, Dublin, Ireland.,UCD Centre for Food Safety, School of Public Health, Physiotherapy and Population Science, University College Dublin, Dublin, Ireland
| | - Franco Pagotto
- Food Directorate, Bureau of Microbial Hazards, Health Canada, Ottawa, ON, Canada
| | - Roger Stephan
- Institute for Food Safety and Hygiene, University of Zürich, Zurich, Switzerland
| | - Angelika Lehner
- Institute for Food Safety and Hygiene, University of Zürich, Zurich, Switzerland
| | - Athmanya K Eshwar
- Institute for Food Safety and Hygiene, University of Zürich, Zurich, Switzerland
| | - Seamus Fanning
- WHO Collaborating Centre for Cronobacter, University College Dublin, Dublin, Ireland.,UCD Centre for Food Safety, School of Public Health, Physiotherapy and Population Science, University College Dublin, Dublin, Ireland
| | - Jeffery Farber
- Department of Food Science, University of Guelph, Guelph, ON, Canada
| | - Gopal R Gopinath
- Center of Food Safety and Applied Nutrition, U. S. Food and Drug Administration, Laurel, MD, United States
| | - Ben D Tall
- Center of Food Safety and Applied Nutrition, U. S. Food and Drug Administration, Laurel, MD, United States
| | - Monica Pava-Ripoll
- Center of Food Safety and Applied Nutrition, U. S. Food & Drug Administration, College Park, MD, United States
| |
Collapse
|
|
28
|
Chavarro C, Chu Y, Holbrook C, Isleib T, Bertioli D, Hovav R, Butts C, Lamb M, Sorensen R, A Jackson S, Ozias-Akins P. Pod and Seed Trait QTL Identification To Assist Breeding for Peanut Market Preferences. G3 (Bethesda) 2020; 10:2297-2315. [PMID: 32398236 PMCID: PMC7341151 DOI: 10.1534/g3.120.401147] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/13/2020] [Accepted: 05/01/2020] [Indexed: 12/20/2022]
Abstract
Although seed and pod traits are important for peanut breeding, little is known about the inheritance of these traits. A recombinant inbred line (RIL) population of 156 lines from a cross of Tifrunner x NC 3033 was genotyped with the Axiom_Arachis1 SNP array and SSRs to generate a genetic map composed of 1524 markers in 29 linkage groups (LG). The genetic positions of markers were compared with their physical positions on the peanut genome to confirm the validity of the linkage map and explore the distribution of recombination and potential chromosomal rearrangements. This linkage map was then used to identify Quantitative Trait Loci (QTL) for seed and pod traits that were phenotyped over three consecutive years for the purpose of developing trait-associated markers for breeding. Forty-nine QTL were identified in 14 LG for seed size index, kernel percentage, seed weight, pod weight, single-kernel, double-kernel, pod area and pod density. Twenty QTL demonstrated phenotypic variance explained (PVE) greater than 10% and eight more than 20%. Of note, seven of the eight major QTL for pod area, pod weight and seed weight (PVE >20% variance) were attributed to NC 3033 and located in a single linkage group, LG B06_1. In contrast, the most consistent QTL for kernel percentage were located on A07/B07 and derived from Tifrunner.
Collapse
Affiliation(s)
- Carolina Chavarro
- Center for Applied Genetic Technologies, University of Georgia, Athens, GA 30602
| | - Ye Chu
- Department of Horticulture and Institute of Plant Breeding, Genetics & Genomics, University of Georgia, Tifton, GA 31793
| | - Corley Holbrook
- USDA- Agricultural Research Service, Crop Genetics and Breeding Research Unit, Tifton, GA 31793
| | - Thomas Isleib
- Department of Crop Science, North Carolina State University, P.O. Box 7629, Raleigh, NC 27695
| | - David Bertioli
- Center for Applied Genetic Technologies, University of Georgia, Athens, GA 30602
| | - Ran Hovav
- Department of Field and Vegetable Crops, Plant Sciences Institute, ARO (Volcani Center), Bet Dagan, Israel, and
| | - Christopher Butts
- USDA- Agricultural Research Service, National Peanut Research Laboratory, Dawson, GA 39842
| | - Marshall Lamb
- USDA- Agricultural Research Service, National Peanut Research Laboratory, Dawson, GA 39842
| | - Ronald Sorensen
- USDA- Agricultural Research Service, National Peanut Research Laboratory, Dawson, GA 39842
| | - Scott A Jackson
- Center for Applied Genetic Technologies, University of Georgia, Athens, GA 30602
| | - Peggy Ozias-Akins
- Department of Horticulture and Institute of Plant Breeding, Genetics & Genomics, University of Georgia, Tifton, GA 31793,
| |
Collapse
|
|
29
|
Li C, Li YH, Li Y, Lu H, Hong H, Tian Y, Li H, Zhao T, Zhou X, Liu J, Zhou X, Jackson SA, Liu B, Qiu LJ. A Domestication-Associated Gene GmPRR3b Regulates the Circadian Clock and Flowering Time in Soybean. Mol Plant 2020; 13:745-759. [PMID: 32017998 DOI: 10.1016/j.molp.2020.01.014] [Citation(s) in RCA: 59] [Impact Index Per Article: 14.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/07/2019] [Revised: 12/28/2019] [Accepted: 01/29/2020] [Indexed: 05/24/2023]
Abstract
Improved soybean cultivars have been adapted to grow at a wide range of latitudes, enabling expansion of cultivation worldwide. However, the genetic basis of this broad adaptation is still not clear. Here, we report the identification of GmPRR3b as a major flowering time regulatory gene that has been selected during domestication and genetic improvement for geographic expansion. Through a genome-wide association study of a diverse soybean landrace panel consisting of 279 accessions, we identified 16 candidate quantitative loci associated with flowering time and maturity time. The strongest signal resides in the known flowering gene E2, verifying the effectiveness of our approach. We detected strong signals associated with both flowering and maturity time in a genomic region containing GmPRR3b. Haplotype analysis revealed that GmPRR3bH6 is the major form of GmPRR3b that has been utilized during recent breeding of modern cultivars. mRNA profiling analysis showed that GmPRR3bH6 displays rhythmic and photoperiod-dependent expression and is preferentially induced under long-day conditions. Overexpression of GmPRR3bH6 increased main stem node number and yield, while knockout of GmPRR3bH6 using CRISPR/Cas9 technology delayed growth and the floral transition. GmPRR3bH6 appears to act as a transcriptional repressor of multiple predicted circadian clock genes, including GmCCA1a, which directly upregulates J/GmELF3a to modulate flowering time. The causal SNP (Chr12:5520945) likely endows GmPRR3bH6 a moderate but appropriate level of activity, leading to early flowering and vigorous growth traits preferentially selected during broad adaptation of landraces and improvement of cultivars.
Collapse
Affiliation(s)
- Cong Li
- The National Key Facility for Crop Gene Resources and Genetic Improvement (NFCRI), Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, P.R. China
| | - Ying-Hui Li
- The National Key Facility for Crop Gene Resources and Genetic Improvement (NFCRI), Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, P.R. China
| | - Yanfei Li
- The National Key Facility for Crop Gene Resources and Genetic Improvement (NFCRI), Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, P.R. China
| | - Hongfeng Lu
- Novogene Bioinformatics Institute, Beijing, P.R. China
| | - Huilong Hong
- The National Key Facility for Crop Gene Resources and Genetic Improvement (NFCRI), Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, P.R. China
| | - Yu Tian
- The National Key Facility for Crop Gene Resources and Genetic Improvement (NFCRI), Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, P.R. China
| | - Hongyu Li
- The National Key Facility for Crop Gene Resources and Genetic Improvement (NFCRI), Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, P.R. China
| | - Tao Zhao
- The National Key Facility for Crop Gene Resources and Genetic Improvement (NFCRI), Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, P.R. China
| | - Xiaowei Zhou
- Novogene Bioinformatics Institute, Beijing, P.R. China
| | - Jun Liu
- The National Key Facility for Crop Gene Resources and Genetic Improvement (NFCRI), Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, P.R. China
| | - Xinan Zhou
- Key Laboratory of Oil Crop Biology (MOA), Oil Crops Research Institute of Chinese Academy of Agriculture Sciences, Wuhan, China
| | - Scott A Jackson
- Center for Applied Genetic Technologies, University of Georgia, Athens, GA, USA
| | - Bin Liu
- The National Key Facility for Crop Gene Resources and Genetic Improvement (NFCRI), Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, P.R. China.
| | - Li-Juan Qiu
- The National Key Facility for Crop Gene Resources and Genetic Improvement (NFCRI), Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, P.R. China.
| |
Collapse
|
|
30
|
McCarthy ASE, Solomon MJ, Koh CE, Firouzbakht A, Jackson SA, Steffens D. Quality of life and functional outcomes following pelvic exenteration and sacrectomy. Colorectal Dis 2020; 22:521-528. [PMID: 31850656 DOI: 10.1111/codi.14925] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/13/2019] [Accepted: 11/12/2019] [Indexed: 02/08/2023]
Abstract
AIM The aim was to compare postoperative quality of life (QOL) between patients undergoing pelvic exenteration (PE) and pelvic exenteration with sacrectomy (PES), and to investigate the influence of high (L5-S2) vs low (≤ S3) sacrectomy on QOL and functional outcomes. METHOD Patients undergoing en bloc sacrectomy as part of a PE and PE alone from 2008 to 2015 were identified from a prospectively maintained database. QOL and functional outcomes were assessed using the 36-Item Short Form Survey, the European Organization for Research and Treatment of Cancer Colorectal Cancer questionnaire and Quality of Life questionnaire, the Revised Musculoskeletal Tumour Scale, the Lower Extremity Functional Scale, the Sexual Health Inventory for Men and the Female Sexual Function Index. RESULTS Of the 344 patients identified, data were available for 116 patients who underwent PE alone and 140 patients who underwent PES. PES patients had significantly poorer physical component scores (P < 0.001) but not mental component scores (P = 0.17). Of the 140 PES patients, 55 were eligible and were invited to participate in a second functional survey, with 30 patients returning the study questionnaire. High sacrectomy patients, compared with low sacrectomy, had significantly worse lower limb motor function (P = 0.03) and poorer physical (P = 0.001) and mental health component scores (P = 0.02). No differences were found in sexual, bladder and bowel function between high and low sacrectomy patients. CONCLUSIONS Patients undergoing PES had worse physical component scores compared with PE alone, whereas high sacrectomy patients had significantly worse lower limb motor function and physical and mental component scores but comparable bowel, bladder and sexual functional outcomes compared with low sacrectomy patients.
Collapse
Affiliation(s)
- A S E McCarthy
- Surgical Outcomes Research Centre (SOuRCe), Royal Prince Alfred Hospital, Sydney, New South Wales, Australia.,Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia
| | - M J Solomon
- Surgical Outcomes Research Centre (SOuRCe), Royal Prince Alfred Hospital, Sydney, New South Wales, Australia.,Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia.,RPA Institute of Academic Surgery (IAS), Royal Prince Alfred Hospital, University of Sydney, Sydney, New South Wales, Australia.,Department of Colorectal Surgery, Royal Prince Alfred Hospital, Sydney, New South Wales, Australia
| | - C E Koh
- Surgical Outcomes Research Centre (SOuRCe), Royal Prince Alfred Hospital, Sydney, New South Wales, Australia.,RPA Institute of Academic Surgery (IAS), Royal Prince Alfred Hospital, University of Sydney, Sydney, New South Wales, Australia.,Department of Colorectal Surgery, Royal Prince Alfred Hospital, Sydney, New South Wales, Australia
| | - A Firouzbakht
- Surgical Outcomes Research Centre (SOuRCe), Royal Prince Alfred Hospital, Sydney, New South Wales, Australia.,Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia
| | - S A Jackson
- School of Physiology, Faculty of Science, University of Sydney, Sydney, New South Wales, Australia
| | - D Steffens
- Surgical Outcomes Research Centre (SOuRCe), Royal Prince Alfred Hospital, Sydney, New South Wales, Australia.,Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia
| |
Collapse
|
|
31
|
Frame LA, Costa E, Jackson SA. Current explorations of nutrition and the gut microbiome: a comprehensive evaluation of the review literature. Nutr Rev 2020; 78:798-812. [DOI: 10.1093/nutrit/nuz106] [Citation(s) in RCA: 52] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
Abstract
Abstract
Context
The ability to measure the gut microbiome led to a surge in understanding and knowledge of its role in health and disease. The diet is a source of fuel for and influencer of composition of the microbiome.
Objective
To assess the understanding of the interactions between nutrition and the gut microbiome in healthy adults.
Data Sources
PubMed and Google Scholar searches were conducted in March and August 2018 and were limited to the following: English, 2010–2018, healthy adults, and reviews.
Data Extraction
A total of 86 articles were independently screened for duplicates and relevance, based on preidentified inclusion criteria.
Data Analysis
Research has focused on dietary fiber – microbiota fuel. The benefits of fiber center on short-chain fatty acids, which are required by colonocytes, improve absorption, and reduce intestinal transit time. Contrastingly, protein promotes microbial protein metabolism and potentially harmful by-products that can stagnate in the gut. The microbiota utilize and produce micronutrients; the bidirectional relationship between micronutrition and the gut microbiome is emerging.
Conclusions
Nutrition has profound effects on microbial composition, in turn affecting wide-ranging metabolic, hormonal, and neurological processes. There is no consensus on what defines a “healthy” gut microbiome. Future research must consider individual responses to diet.
Collapse
Affiliation(s)
- Leigh A Frame
- The George Washington School of Medicine and Health Sciences, Washington, USA
| | - Elise Costa
- The George Washington School of Medicine and Health Sciences, Washington, USA
| | - Scott A Jackson
- The George Washington School of Medicine and Health Sciences, Washington, USA
- National Institute of Standards and Technology, Gaithersburg, Maryland, USA
| |
Collapse
|
|
32
|
Valliyodan B, Cannon SB, Bayer PE, Shu S, Brown AV, Ren L, Jenkins J, Chung CYL, Chan TF, Daum CG, Plott C, Hastie A, Baruch K, Barry KW, Huang W, Patil G, Varshney RK, Hu H, Batley J, Yuan Y, Song Q, Stupar RM, Goodstein DM, Stacey G, Lam HM, Jackson SA, Schmutz J, Grimwood J, Edwards D, Nguyen HT. Construction and comparison of three reference-quality genome assemblies for soybean. Plant J 2019; 100:1066-1082. [PMID: 31433882 DOI: 10.1111/tpj.14500] [Citation(s) in RCA: 71] [Impact Index Per Article: 14.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/27/2018] [Revised: 07/10/2019] [Accepted: 07/17/2019] [Indexed: 05/15/2023]
Abstract
We report reference-quality genome assemblies and annotations for two accessions of soybean (Glycine max) and for one accession of Glycine soja, the closest wild relative of G. max. The G. max assemblies provided are for widely used US cultivars: the northern line Williams 82 (Wm82) and the southern line Lee. The Wm82 assembly improves the prior published assembly, and the Lee and G. soja assemblies are new for these accessions. Comparisons among the three accessions show generally high structural conservation, but nucleotide difference of 1.7 single-nucleotide polymorphisms (snps) per kb between Wm82 and Lee, and 4.7 snps per kb between these lines and G. soja. snp distributions and comparisons with genotypes of the Lee and Wm82 parents highlight patterns of introgression and haplotype structure. Comparisons against the US germplasm collection show placement of the sequenced accessions relative to global soybean diversity. Analysis of a pan-gene collection shows generally high conservation, with variation occurring primarily in genomically clustered gene families. We found approximately 40-42 inversions per chromosome between either Lee or Wm82v4 and G. soja, and approximately 32 inversions per chromosome between Wm82 and Lee. We also investigated five domestication loci. For each locus, we found two different alleles with functional differences between G. soja and the two domesticated accessions. The genome assemblies for multiple cultivated accessions and for the closest wild ancestor of soybean provides a valuable set of resources for identifying causal variants that underlie traits for the domestication and improvement of soybean, serving as a basis for future research and crop improvement efforts for this important crop species.
Collapse
Affiliation(s)
- Babu Valliyodan
- Division of Plant Sciences and National Center for Soybean Biotechnology, University of Missouri, Columbia, 65211, MO, USA
- Department of Agriculture and Environmental Sciences, Lincoln University, Jefferson City, 65101, MO, USA
| | - Steven B Cannon
- Corn Insects and Crop Genetics Research Unit, US Department of Agriculture-Agricultural Research Service, Ames, 50011, IA, USA
| | - Philipp E Bayer
- School of Biological Sciences, The University of Western Australia, Crawley, 6009, WA, Australia
| | - Shengqiang Shu
- Department of Energy Joint Genome Institute, Walnut Creek, 94598, CA, USA
| | - Anne V Brown
- Corn Insects and Crop Genetics Research Unit, US Department of Agriculture-Agricultural Research Service, Ames, 50011, IA, USA
| | - Longhui Ren
- Interdepartmental Genetics Program, Iowa State University, Ames, 50011, IA, USA
| | - Jerry Jenkins
- Hudson-Alpha Institute for Biotechnology, Huntsville, 35806, AL, USA
| | - Claire Y-L Chung
- Centre for Soybean Research of the State Key Laboratory of Agrobiotechnology and School of Life Sciences, The Chinese University of Hong Kong, Shatin, Hong Kong Special Administrative Region, China
| | - Ting-Fung Chan
- Centre for Soybean Research of the State Key Laboratory of Agrobiotechnology and School of Life Sciences, The Chinese University of Hong Kong, Shatin, Hong Kong Special Administrative Region, China
| | - Christopher G Daum
- Department of Energy Joint Genome Institute, Walnut Creek, 94598, CA, USA
| | - Christopher Plott
- Hudson-Alpha Institute for Biotechnology, Huntsville, 35806, AL, USA
| | | | | | - Kerrie W Barry
- Department of Energy Joint Genome Institute, Walnut Creek, 94598, CA, USA
| | - Wei Huang
- Department of Agronomy, Iowa State University, Ames, 50011, IA, USA
| | - Gunvant Patil
- Division of Plant Sciences and National Center for Soybean Biotechnology, University of Missouri, Columbia, 65211, MO, USA
| | - Rajeev K Varshney
- Center of Excellence in Genomics and Systems Biology, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru, 502 324, India
| | - Haifei Hu
- School of Biological Sciences, The University of Western Australia, Crawley, 6009, WA, Australia
| | - Jacqueline Batley
- School of Biological Sciences, The University of Western Australia, Crawley, 6009, WA, Australia
| | - Yuxuan Yuan
- School of Biological Sciences, The University of Western Australia, Crawley, 6009, WA, Australia
| | - Qijian Song
- Soybean Genomics and Improvement Lab, US Department of Agriculture - Agricultural Research Service, Beltsville, 20705, MD, USA
| | - Robert M Stupar
- Department of Agronomy and Plant Genetics, University of Minnesota, St. Paul, 55108, MN, USA
| | - David M Goodstein
- Department of Energy Joint Genome Institute, Walnut Creek, 94598, CA, USA
| | - Gary Stacey
- Division of Plant Sciences and National Center for Soybean Biotechnology, University of Missouri, Columbia, 65211, MO, USA
| | - Hon-Ming Lam
- Centre for Soybean Research of the State Key Laboratory of Agrobiotechnology and School of Life Sciences, The Chinese University of Hong Kong, Shatin, Hong Kong Special Administrative Region, China
| | - Scott A Jackson
- Center for Applied Genetic Technologies, University of Georgia, Athens, 30602, GA, USA
| | - Jeremy Schmutz
- Hudson-Alpha Institute for Biotechnology, Huntsville, 35806, AL, USA
| | - Jane Grimwood
- Hudson-Alpha Institute for Biotechnology, Huntsville, 35806, AL, USA
| | - David Edwards
- School of Biological Sciences, The University of Western Australia, Crawley, 6009, WA, Australia
| | - Henry T Nguyen
- Division of Plant Sciences and National Center for Soybean Biotechnology, University of Missouri, Columbia, 65211, MO, USA
| |
Collapse
|
|
33
|
Ballén-Taborda C, Chu Y, Ozias-Akins P, Timper P, Holbrook CC, Jackson SA, Bertioli DJ, Leal-Bertioli SCM. A new source of root-knot nematode resistance from Arachis stenosperma incorporated into allotetraploid peanut (Arachis hypogaea). Sci Rep 2019; 9:17702. [PMID: 31776412 PMCID: PMC6881346 DOI: 10.1038/s41598-019-54183-1] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2019] [Accepted: 11/06/2019] [Indexed: 12/18/2022] Open
Abstract
Root-knot nematode is a very destructive pathogen, to which most peanut cultivars are highly susceptible. Strong resistance is present in the wild diploid peanut relatives. Previously, QTLs controlling nematode resistance were identified on chromosomes A02, A04 and A09 of Arachis stenosperma. Here, to study the inheritance of these resistance alleles within the genetic background of tetraploid peanut, an F2 population was developed from a cross between peanut and an induced allotetraploid that incorporated A. stenosperma, [Arachis batizocoi x A. stenosperma]4×. This population was genotyped using a SNP array and phenotyped for nematode resistance. QTL analysis allowed us to verify the major-effect QTL on chromosome A02 and a secondary QTL on A09, each contributing to a percentage reduction in nematode multiplication up to 98.2%. These were validated in selected F2:3 lines. The genome location of the large-effect QTL on A02 is rich in genes encoding TIR-NBS-LRR protein domains that are involved in plant defenses. We conclude that the strong resistance to RKN, derived from the diploid A. stenosperma, is transferrable and expressed in tetraploid peanut. Currently it is being used in breeding programs for introgressing a new source of nematode resistance and to widen the genetic basis of agronomically adapted peanut lines.
Collapse
Affiliation(s)
- Carolina Ballén-Taborda
- Center for Applied Genetic Technologies and Institute of Plant Breeding, Genetics and Genomics, University of Georgia, Athens, GA, United States
| | - Ye Chu
- Department of Horticulture and Institute of Plant Breeding, Genetics and Genomics, University of Georgia, Tifton, GA, United States
| | - Peggy Ozias-Akins
- Department of Horticulture and Institute of Plant Breeding, Genetics and Genomics, University of Georgia, Tifton, GA, United States
| | | | | | - Scott A Jackson
- Center for Applied Genetic Technologies and Institute of Plant Breeding, Genetics and Genomics, University of Georgia, Athens, GA, United States.,Department of Crop and Soil Science and Institute of Plant Breeding, Genetics and Genomics, University of Georgia, Athens, GA, United States
| | - David J Bertioli
- Center for Applied Genetic Technologies and Institute of Plant Breeding, Genetics and Genomics, University of Georgia, Athens, GA, United States.,Department of Crop and Soil Science and Institute of Plant Breeding, Genetics and Genomics, University of Georgia, Athens, GA, United States
| | - Soraya C M Leal-Bertioli
- Center for Applied Genetic Technologies and Institute of Plant Breeding, Genetics and Genomics, University of Georgia, Athens, GA, United States. .,Department of Plant Pathology, University of Georgia, Athens, GA, United States.
| |
Collapse
|
|
34
|
Ji L, Mathioni SM, Johnson S, Tucker D, Bewick AJ, Do Kim K, Daron J, Slotkin RK, Jackson SA, Parrott WA, Meyers BC, Schmitz RJ. Genome-Wide Reinforcement of DNA Methylation Occurs during Somatic Embryogenesis in Soybean. Plant Cell 2019; 31:2315-2331. [PMID: 31439802 PMCID: PMC6790092 DOI: 10.1105/tpc.19.00255] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/31/2019] [Revised: 07/29/2019] [Accepted: 08/19/2019] [Indexed: 05/06/2023]
Abstract
Somatic embryogenesis is an important tissue culture technique that sometimes leads to phenotypic variation via genetic and/or epigenetic changes. To understand the genomic and epigenomic impacts of somatic embryogenesis, we characterized soybean (Glycine max) epigenomes sampled from embryos at 10 different stages ranging from 6 weeks to 13 years of continuous culture. We identified genome-wide increases in DNA methylation from cultured samples, especially at CHH sites. The hypermethylation almost exclusively occurred in regions previously possessing non-CG methylation and was accompanied by increases in the expression of genes encoding the RNA-directed DNA methylation (RdDM) machinery. The epigenomic changes were similar between somatic and zygotic embryogenesis. Following the initial global wave of hypermethylation, rare decay events of maintenance methylation were observed, and the extent of the decay increased with time in culture. These losses in DNA methylation were accompanied by downregulation of genes encoding the RdDM machinery and transcriptome reprogramming reminiscent of transcriptomes during late-stage seed development. These results reveal a process for reinforcing already silenced regions to maintain genome integrity during somatic embryogenesis over the short term, which eventually decays at certain loci over longer time scales.
Collapse
Affiliation(s)
- Lexiang Ji
- Institute of Bioinformatics, University of Georgia, Athens, Georgia 30602
| | | | - Sarah Johnson
- Institute for Plant Breeding Genetics and Genomics, University of Georgia, Athens, Georgia 30602
| | - Donna Tucker
- Institute for Plant Breeding Genetics and Genomics, University of Georgia, Athens, Georgia 30602
| | - Adam J Bewick
- Department of Genetics, University of Georgia, Athens, Georgia 30602
| | - Kyung Do Kim
- Center for Applied Genetic Technologies, University of Georgia, Athens, Georgia 30602
| | - Josquin Daron
- Department of Molecular Genetics, Ohio State University, Columbus, Ohio 43210
| | - R Keith Slotkin
- Donald Danforth Plant Science Center, St. Louis, Missouri 63132
- Department of Molecular Genetics, Ohio State University, Columbus, Ohio 43210
| | - Scott A Jackson
- Center for Applied Genetic Technologies, University of Georgia, Athens, Georgia 30602
| | - Wayne A Parrott
- Institute for Plant Breeding Genetics and Genomics, University of Georgia, Athens, Georgia 30602
| | - Blake C Meyers
- Donald Danforth Plant Science Center, St. Louis, Missouri 63132
- Division of Plant Sciences, University of Missouri, Columbia, Missouri 63132
| | - Robert J Schmitz
- Department of Genetics, University of Georgia, Athens, Georgia 30602
| |
Collapse
|
|
35
|
Zengler K, Hofmockel K, Baliga NS, Behie SW, Bernstein HC, Brown JB, Dinneny JR, Floge SA, Forry SP, Hess M, Jackson SA, Jansson C, Lindemann SR, Pett-Ridge J, Maranas C, Venturelli OS, Wallenstein MD, Shank EA, Northen TR. EcoFABs: advancing microbiome science through standardized fabricated ecosystems. Nat Methods 2019; 16:567-571. [PMID: 31227812 PMCID: PMC6733021 DOI: 10.1038/s41592-019-0465-0] [Citation(s) in RCA: 56] [Impact Index Per Article: 11.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
Microbiomes play critical roles in ecosystems and human health, yet in most cases scientists lack standardized and reproducible model microbial communities. The development of fabricated microbial ecosystems, which we term EcoFABs, will provide such model systems for microbiome studies.
Collapse
Affiliation(s)
- Karsten Zengler
- Department of Pediatrics, University of California, San Diego, CA, USA
- Center for Microbiome Innovation, University of California, San Diego, CA, USA
| | - Kirsten Hofmockel
- Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, WA, USA
- Department of Ecology, Evolution and Organismal Biology, Iowa State University, Ames, IA, USA
| | - Nitin S Baliga
- Institute for Systems Biology, Seattle, WA, USA
- Departments of Microbiology and Biology, University of Washington, Seattle, WA, USA
- Molecular and Cellular Biology Program, University of Washington, Seattle, WA, USA
| | - Scott W Behie
- Department of Plant and Microbial Biology, University of California, Berkeley, Berkeley, CA, USA
| | - Hans C Bernstein
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, USA
- The Norwegian College of Fishery Science and Arctic Centre for Sustainable Energy, UiT-The Arctic University of Norway, Tromsø, Norway
| | - James B Brown
- Environmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
- Centre for Computational Biology, School of Biosciences, University of Birmingham, Birmingham, UK
- Statistics Department, University of California, Berkeley, Berkeley, CA, USA
- Preminon, LLC, Antioch, CA, USA
| | - José R Dinneny
- Department of Biology, Stanford University, Stanford, CA, USA
| | - Sheri A Floge
- Department of Microbiology, The Ohio State University, Columbus, OH, USA
- Department of Biology, Wake Forest University, Winston-Salem, NC, USA
| | - Samuel P Forry
- Biosystems and Biomaterials Division, National Institute of Standards and Technology, Gaithersburg, MD, USA
| | - Matthias Hess
- Department of Animal Science, University of California, Davis, Davis, CA, USA
| | - Scott A Jackson
- Biosystems and Biomaterials Division, National Institute of Standards and Technology, Gaithersburg, MD, USA
| | - Christer Jansson
- Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, WA, USA
| | - Stephen R Lindemann
- Whistler Center for Carbohydrate Research, Department of Food Science, Purdue University, West Lafayette, IN, USA
- Department of Nutrition Science, Purdue University, West Lafayette, IN, USA
| | - Jennifer Pett-Ridge
- Physical and Life Sciences Directorate, Lawrence Livermore National Laboratory, Livermore, CA, USA
| | - Costas Maranas
- Department of Chemical Engineering, The Pennsylvania State University, University Park, PA, USA
| | | | - Matthew D Wallenstein
- Department of Soil and Crop Sciences, Colorado State University, Fort Collins, CO, USA
| | - Elizabeth A Shank
- Department of Biology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Department of Microbiology and Immunology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Trent R Northen
- Environmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.
- DOE Joint Genome Institute, Walnut Creek, CA, USA.
| |
Collapse
|
|
36
|
Hickey LT, N Hafeez A, Robinson H, Jackson SA, Leal-Bertioli SCM, Tester M, Gao C, Godwin ID, Hayes BJ, Wulff BBH. Breeding crops to feed 10 billion. Nat Biotechnol 2019; 37:744-754. [PMID: 31209375 DOI: 10.1038/s41587-019-0152-9] [Citation(s) in RCA: 322] [Impact Index Per Article: 64.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2018] [Accepted: 04/25/2019] [Indexed: 12/14/2022]
Abstract
Crop improvements can help us to meet the challenge of feeding a population of 10 billion, but can we breed better varieties fast enough? Technologies such as genotyping, marker-assisted selection, high-throughput phenotyping, genome editing, genomic selection and de novo domestication could be galvanized by using speed breeding to enable plant breeders to keep pace with a changing environment and ever-increasing human population.
Collapse
Affiliation(s)
- Lee T Hickey
- Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, Brisbane, Queensland, Australia.
| | | | | | - Scott A Jackson
- Center for Applied Genetic Technologies, Department of Crop and Soil Sciences, University of Georgia, Athens, GA, USA
| | - Soraya C M Leal-Bertioli
- Center for Applied Genetic Technologies, Department of Plant Pathology, University of Georgia, Athens, GA, USA
| | - Mark Tester
- King Abdullah University of Science and Technology (KAUST), Division of Biological and Environmental Sciences and Engineering, Thuwal, Saudi Arabia
| | - Caixia Gao
- State Key Laboratory of Plant Cell and Chromosome Engineering, Center for Genome Editing, Institute of Genetics and Developmental Biology, Innovation Academy for Seed Design, Chinese Academy of Sciences, Beijing, China
| | - Ian D Godwin
- School of Agriculture and Food Sciences, The University of Queensland, Brisbane, Queensland, Australia
| | - Ben J Hayes
- Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, Brisbane, Queensland, Australia
| | | |
Collapse
|
|
37
|
Bertioli DJ, Jenkins J, Clevenger J, Dudchenko O, Gao D, Seijo G, Leal-Bertioli SCM, Ren L, Farmer AD, Pandey MK, Samoluk SS, Abernathy B, Agarwal G, Ballén-Taborda C, Cameron C, Campbell J, Chavarro C, Chitikineni A, Chu Y, Dash S, El Baidouri M, Guo B, Huang W, Kim KD, Korani W, Lanciano S, Lui CG, Mirouze M, Moretzsohn MC, Pham M, Shin JH, Shirasawa K, Sinharoy S, Sreedasyam A, Weeks NT, Zhang X, Zheng Z, Sun Z, Froenicke L, Aiden EL, Michelmore R, Varshney RK, Holbrook CC, Cannon EKS, Scheffler BE, Grimwood J, Ozias-Akins P, Cannon SB, Jackson SA, Schmutz J. The genome sequence of segmental allotetraploid peanut Arachis hypogaea. Nat Genet 2019; 51:877-884. [PMID: 31043755 DOI: 10.1038/s41588-019-0405-z] [Citation(s) in RCA: 285] [Impact Index Per Article: 57.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2018] [Accepted: 03/28/2019] [Indexed: 12/24/2022]
Abstract
Like many other crops, the cultivated peanut (Arachis hypogaea L.) is of hybrid origin and has a polyploid genome that contains essentially complete sets of chromosomes from two ancestral species. Here we report the genome sequence of peanut and show that after its polyploid origin, the genome has evolved through mobile-element activity, deletions and by the flow of genetic information between corresponding ancestral chromosomes (that is, homeologous recombination). Uniformity of patterns of homeologous recombination at the ends of chromosomes favors a single origin for cultivated peanut and its wild counterpart A. monticola. However, through much of the genome, homeologous recombination has created diversity. Using new polyploid hybrids made from the ancestral species, we show how this can generate phenotypic changes such as spontaneous changes in the color of the flowers. We suggest that diversity generated by these genetic mechanisms helped to favor the domestication of the polyploid A. hypogaea over other diploid Arachis species cultivated by humans.
Collapse
Affiliation(s)
- David J Bertioli
- Center for Applied Genetic Technologies, University of Georgia, Athens, GA, USA. .,Institute of Plant Breeding, Genetics and Genomics, University of Georgia, Athens, GA, USA. .,Department of Crop and Soil Science, University of Georgia, Athens, GA, USA.
| | - Jerry Jenkins
- HudsonAlpha Institute of Biotechnology, Huntsville, AL, USA
| | - Josh Clevenger
- Center for Applied Genetic Technologies, University of Georgia, Athens, GA, USA.,Institute of Plant Breeding, Genetics and Genomics, University of Georgia, Athens, GA, USA.,Department of Crop and Soil Science, University of Georgia, Athens, GA, USA
| | - Olga Dudchenko
- The Center for Genome Architecture, Baylor College of Medicine, Houston, TX, USA
| | - Dongying Gao
- Center for Applied Genetic Technologies, University of Georgia, Athens, GA, USA
| | - Guillermo Seijo
- Instituto de Botánica del Nordeste (CONICET-UNNE), Corrientes, Argentina.,FACENA, Universidad Nacional del Nordeste, Corrientes, Argentina
| | - Soraya C M Leal-Bertioli
- Center for Applied Genetic Technologies, University of Georgia, Athens, GA, USA.,Institute of Plant Breeding, Genetics and Genomics, University of Georgia, Athens, GA, USA.,Department of Plant Pathology, University of Georgia, Tifton, GA, USA
| | - Longhui Ren
- Interdepartmental Genetics Graduate Program, Iowa State University, Ames, IA, USA
| | | | - Manish K Pandey
- Center of Excellence in Genomics & Systems Biology, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India
| | - Sergio S Samoluk
- Instituto de Botánica del Nordeste (CONICET-UNNE), Corrientes, Argentina.,FACENA, Universidad Nacional del Nordeste, Corrientes, Argentina
| | - Brian Abernathy
- Center for Applied Genetic Technologies, University of Georgia, Athens, GA, USA
| | - Gaurav Agarwal
- Department of Plant Pathology, University of Georgia, Tifton, GA, USA
| | | | | | | | - Carolina Chavarro
- Center for Applied Genetic Technologies, University of Georgia, Athens, GA, USA.,Institute of Plant Breeding, Genetics and Genomics, University of Georgia, Athens, GA, USA
| | - Annapurna Chitikineni
- Center of Excellence in Genomics & Systems Biology, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India
| | - Ye Chu
- Department of Horticulture, University of Georgia, Tifton, GA, USA
| | - Sudhansu Dash
- National Center for Genome Resources, Santa Fe, NM, USA
| | - Moaine El Baidouri
- UMR5096, Laboratoire Génome et Développement des Plantes, CNRS, Perpignan, France.,UMR5096, Laboratoire Génome et Développement des Plantes, Université de Perpignan, Perpignan, France
| | - Baozhu Guo
- Crop Protection and Management Research Unit, US Department of Agriculture, Agricultural Research Service, Tifton, GA, USA
| | - Wei Huang
- Department of Computer Science, Iowa State University, Ames, IA, USA
| | - Kyung Do Kim
- Center for Applied Genetic Technologies, University of Georgia, Athens, GA, USA.,Corporate R&D, LG Chem, Seoul, Republic of Korea
| | - Walid Korani
- Center for Applied Genetic Technologies, University of Georgia, Athens, GA, USA
| | - Sophie Lanciano
- UMR5096, Laboratoire Génome et Développement des Plantes, Université de Perpignan, Perpignan, France.,UMR232, Diversité, Adaptation et Développement des Plantes, IRD, Montpellier, France.,UMR232, Diversité, Adaptation et Développement des Plantes, Université de Montpellier, Montpellier, France
| | - Christopher G Lui
- The Center for Genome Architecture, Baylor College of Medicine, Houston, TX, USA
| | - Marie Mirouze
- UMR5096, Laboratoire Génome et Développement des Plantes, Université de Perpignan, Perpignan, France.,UMR232, Diversité, Adaptation et Développement des Plantes, IRD, Montpellier, France.,UMR232, Diversité, Adaptation et Développement des Plantes, Université de Montpellier, Montpellier, France
| | | | - Melanie Pham
- The Center for Genome Architecture, Baylor College of Medicine, Houston, TX, USA
| | - Jin Hee Shin
- Center for Applied Genetic Technologies, University of Georgia, Athens, GA, USA.,Corporate R&D, LG Chem, Seoul, Republic of Korea
| | - Kenta Shirasawa
- Department of Frontier Research and Development, Kazusa DNA Research Institute, Kisarazu, Japan
| | | | | | - Nathan T Weeks
- Corn Insects and Crop Genetics Research Unit, US Department of Agriculture Agricultural Research Service, Ames, IA, USA
| | - Xinyou Zhang
- Henan Provincial Key Laboratory for Genetic Improvement of Oil Crops, Industrial Crops Research Institute, Henan Academy of Agricultural Sciences, Zhengzhou, China.,Key Laboratory of Oil Crops in Huanghuaihai Plains, Ministry of Agriculture and Rural Affairs, Zhengzhou, China
| | - Zheng Zheng
- Henan Provincial Key Laboratory for Genetic Improvement of Oil Crops, Industrial Crops Research Institute, Henan Academy of Agricultural Sciences, Zhengzhou, China.,Key Laboratory of Oil Crops in Huanghuaihai Plains, Ministry of Agriculture and Rural Affairs, Zhengzhou, China
| | - Ziqi Sun
- Henan Provincial Key Laboratory for Genetic Improvement of Oil Crops, Industrial Crops Research Institute, Henan Academy of Agricultural Sciences, Zhengzhou, China.,Key Laboratory of Oil Crops in Huanghuaihai Plains, Ministry of Agriculture and Rural Affairs, Zhengzhou, China
| | - Lutz Froenicke
- Genome Center, University of California, Davis, Davis, CA, USA
| | - Erez L Aiden
- The Center for Genome Architecture, Baylor College of Medicine, Houston, TX, USA
| | | | - Rajeev K Varshney
- Center of Excellence in Genomics & Systems Biology, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India
| | - C Corley Holbrook
- Crop Genetics and Breeding Research Unit, US Department of Agriculture Agricultural Research Service, Tifton, GA, USA
| | | | - Brian E Scheffler
- Genomics and Bioinformatics Research Unit, US Department of Agriculture Agricultural Research Service, Stoneville, MS, USA
| | - Jane Grimwood
- HudsonAlpha Institute of Biotechnology, Huntsville, AL, USA
| | - Peggy Ozias-Akins
- Institute of Plant Breeding, Genetics and Genomics, University of Georgia, Athens, GA, USA.,Department of Horticulture, University of Georgia, Tifton, GA, USA
| | - Steven B Cannon
- Corn Insects and Crop Genetics Research Unit, US Department of Agriculture Agricultural Research Service, Ames, IA, USA
| | - Scott A Jackson
- Center for Applied Genetic Technologies, University of Georgia, Athens, GA, USA. .,Institute of Plant Breeding, Genetics and Genomics, University of Georgia, Athens, GA, USA. .,Department of Crop and Soil Science, University of Georgia, Athens, GA, USA.
| | - Jeremy Schmutz
- HudsonAlpha Institute of Biotechnology, Huntsville, AL, USA. .,Department of Energy, Joint Genome Institute, Walnut Creek, CA, USA.
| |
Collapse
|
|
38
|
Samoluk SS, Chalup LMI, Chavarro C, Robledo G, Bertioli DJ, Jackson SA, Seijo G. Heterochromatin evolution in Arachis investigated through genome-wide analysis of repetitive DNA. Planta 2019; 249:1405-1415. [PMID: 30680457 DOI: 10.1007/s00425-019-03096-4] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/30/2018] [Accepted: 01/18/2019] [Indexed: 05/21/2023]
Abstract
The most conspicuous difference among chromosomes and genomes in Arachis species, the patterns of heterochromatin, was mainly modeled by differential amplification of different members of one superfamily of satellite DNAs. Divergence in repetitive DNA is a primary driving force for genome and chromosome evolution. Section Arachis is karyotypically diverse and has six different genomes. Arachis glandulifera (D genome) has the most asymmetric karyotype and the highest reproductive isolation compared to the well-known A and B genome species. These features make A. glandulifera an interesting model species for studying the main repetitive components that accompanied the genome and chromosome diversification in the section. Here, we performed a genome-wide analysis of repetitive sequences in A. glandulifera and investigated the chromosome distribution of the identified satellite DNA sequences (satDNAs). LTR retroelements, mainly the Ty3-gypsy families "Fidel/Feral" and "Pipoka/Pipa", were the most represented. Comparative analyses with the A and B genomes showed that many of the previously described transposable elements (TEs) were differently represented in the D genome, and that this variation accompanied changes in DNA content. In addition, four major satDNAs were characterized. Agla_CL8sat was the major component of pericentromeric heterochromatin, while Agla_CL39sat, Agla_CL69sat, and Agla_CL122sat were found in heterochromatic and/or euchromatic regions. Even though Agla_CL8sat belong to a different family than that of the major satDNA (ATR-2) found in the heterochromatin of the A, K, and F genomes, both satDNAs are members of the same superfamily. This finding suggests that closely related satDNAs of an ancestral library were differentially amplified leading to the major changes in the heterochromatin patterns that accompanied the karyotype and genome differentiation in Arachis.
Collapse
Affiliation(s)
- Sergio S Samoluk
- Facultad de Ciencias Agrarias, Instituto de Botánica del Nordeste (UNNE-CONICET), Corrientes, Argentina.
| | - Laura M I Chalup
- Facultad de Ciencias Agrarias, Instituto de Botánica del Nordeste (UNNE-CONICET), Corrientes, Argentina
| | - Carolina Chavarro
- Center for Applied Genetic Technologies, University of Georgia, Athens, GA, USA
| | - Germán Robledo
- Facultad de Ciencias Agrarias, Instituto de Botánica del Nordeste (UNNE-CONICET), Corrientes, Argentina
- Facultad de Ciencias Exactas y Naturales y Agrimensura, Universidad Nacional del Nordeste, Corrientes, Argentina
| | - David J Bertioli
- Center for Applied Genetic Technologies, University of Georgia, Athens, GA, USA
| | - Scott A Jackson
- Center for Applied Genetic Technologies, University of Georgia, Athens, GA, USA
| | - Guillermo Seijo
- Facultad de Ciencias Agrarias, Instituto de Botánica del Nordeste (UNNE-CONICET), Corrientes, Argentina
- Facultad de Ciencias Exactas y Naturales y Agrimensura, Universidad Nacional del Nordeste, Corrientes, Argentina
| |
Collapse
|
|
39
|
Wang J, Li X, Do Kim K, Scanlon MJ, Jackson SA, Springer NM, Yu J. Genome-wide nucleotide patterns and potential mechanisms of genome divergence following domestication in maize and soybean. Genome Biol 2019; 20:74. [PMID: 31018867 PMCID: PMC6482504 DOI: 10.1186/s13059-019-1683-6] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2018] [Accepted: 03/28/2019] [Indexed: 01/21/2023] Open
Abstract
BACKGROUND Plant domestication provides a unique model to study genome evolution. Many studies have been conducted to examine genes, genetic diversity, genome structure, and epigenome changes associated with domestication. Interestingly, domesticated accessions have significantly higher [A] and [T] values across genome-wide polymorphic sites than accessions sampled from the corresponding progenitor species. However, the relative contributions of different genomic regions to this genome divergence pattern and underlying mechanisms have not been well characterized. RESULTS Here, we investigate the genome-wide base-composition patterns by analyzing millions of SNPs segregating among 100 accessions from a teosinte-maize comparison set and among 302 accessions from a wild-domesticated soybean comparison set. We show that non-genic part of the genome has a greater contribution than genic SNPs to the [AT]-increase observed between wild and domesticated accessions in maize and soybean. The separation between wild and domesticated accessions in [AT] values is significantly enlarged in non-genic and pericentromeric regions. Motif frequency and sequence context analyses show the motifs (PyCG) related to solar-UV signature are enriched in these regions, particularly when they are methylated. Additional analysis using population-private SNPs also implicates the role of these motifs in relatively recent mutations. With base-composition across polymorphic sites as a genome phenotype, genome scans identify a set of putative candidate genes involved in UV damage repair pathways. CONCLUSIONS The [AT]-increase is more pronounced in genomic regions that are non-genic, pericentromeric, transposable elements; methylated; and with low recombination. Our findings establish important links among UV radiation, mutation, DNA repair, methylation, and genome evolution.
Collapse
Affiliation(s)
- Jinyu Wang
- Department of Agronomy, Iowa State University, Ames, IA 50011 USA
| | - Xianran Li
- Department of Agronomy, Iowa State University, Ames, IA 50011 USA
| | - Kyung Do Kim
- Center for Applied Genetic Technologies, University of Georgia, Athens, GA 30602 USA
| | - Michael J. Scanlon
- Plant Biology Section, School of Integrative Plant Science, Cornell University, Ithaca, NY 14853 USA
| | - Scott A. Jackson
- Center for Applied Genetic Technologies, University of Georgia, Athens, GA 30602 USA
| | - Nathan M. Springer
- Department of Plant and Microbial Biology, University of Minnesota, St. Paul, MN 55108 USA
| | - Jianming Yu
- Department of Agronomy, Iowa State University, Ames, IA 50011 USA
| |
Collapse
|
|
40
|
Jackson SA, Schoeni JL, Vegge C, Pane M, Stahl B, Bradley M, Goldman VS, Burguière P, Atwater JB, Sanders ME. Improving End-User Trust in the Quality of Commercial Probiotic Products. Front Microbiol 2019; 10:739. [PMID: 31105649 PMCID: PMC6499161 DOI: 10.3389/fmicb.2019.00739] [Citation(s) in RCA: 82] [Impact Index Per Article: 16.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2019] [Accepted: 03/25/2019] [Indexed: 01/09/2023] Open
Abstract
In a rapidly growing global probiotic market, end-users have difficulty distinguishing between high quality and poor quality products. This ambiguity threatens the trust consumers and healthcare providers have in probiotic products. To address this problem, we recommend that companies undergo third-party evaluations to certify probiotic quality and label accuracy. In order to communicate about product quality to end-users, indication of certification on product labels is helpful, although not all manufacturers choose to use this approach. Herein we discuss: third-party certification, the process of setting standards for identity, purity, and quantification of probiotics; some emerging methodologies useful for quality assessment; and some technical challenges unique to managing quality of live microbial products. This review provides insights of an Expert Panel engaged in this process and aims to update the reader on relevant current scientific methodologies. Establishing validated methodologies for all aspects of quality assessment is an essential component of this process and can be facilitated by established organizations, such as United States Pharmacopeia. Emerging methodologies including whole genome sequencing and flow cytometry are poised to play important roles in these processes.
Collapse
Affiliation(s)
- Scott A. Jackson
- National Institute of Standards and Technology, Gaithersburg, MD, United States
| | - Jean L. Schoeni
- Eurofins Food Integrity and Innovation, Madison, WI, United States
| | | | | | - Buffy Stahl
- DuPont Nutrition & Health, Madison, WI, United States
| | | | - Virginia S. Goldman
- Department of Dietary Supplements and Herbal Medicines, Science Division, US Pharmacopeial Convention, Rockville, MD, United States
| | | | | | - Mary Ellen Sanders
- International Scientific Association for Probiotics and Prebiotics, Sacramento, CA, United States
| |
Collapse
|
|
41
|
Susek K, Bielski W, Czyż KB, Hasterok R, Jackson SA, Wolko B, Naganowska B. Impact of Chromosomal Rearrangements on the Interpretation of Lupin Karyotype Evolution. Genes (Basel) 2019; 10:genes10040259. [PMID: 30939837 PMCID: PMC6523792 DOI: 10.3390/genes10040259] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2019] [Revised: 03/27/2019] [Accepted: 03/27/2019] [Indexed: 02/06/2023] Open
Abstract
Plant genome evolution can be very complex and challenging to describe, even within a genus. Mechanisms that underlie genome variation are complex and can include whole-genome duplications, gene duplication and/or loss, and, importantly, multiple chromosomal rearrangements. Lupins (Lupinus) diverged from other legumes approximately 60 mya. In contrast to New World lupins, Old World lupins show high variability not only for chromosome numbers (2n = 32–52), but also for the basic chromosome number (x = 5–9, 13) and genome size. The evolutionary basis that underlies the karyotype evolution in lupins remains unknown, as it has so far been impossible to identify individual chromosomes. To shed light on chromosome changes and evolution, we used comparative chromosome mapping among 11 Old World lupins, with Lupinus angustifolius as the reference species. We applied set of L. angustifolius-derived bacterial artificial chromosome clones for fluorescence in situ hybridization. We demonstrate that chromosome variations in the species analyzed might have arisen from multiple changes in chromosome structure and number. We hypothesize about lupin karyotype evolution through polyploidy and subsequent aneuploidy. Additionally, we have established a cytogenomic map of L. angustifolius along with chromosome markers that can be used for related species to further improve comparative studies of crops and wild lupins.
Collapse
Affiliation(s)
- Karolina Susek
- Department of Genomics, Institute of Plant Genetics, Polish Academy of Sciences, 60-479 Poznan, Poland.
| | - Wojciech Bielski
- Department of Genomics, Institute of Plant Genetics, Polish Academy of Sciences, 60-479 Poznan, Poland.
| | - Katarzyna B Czyż
- Department of Biometry and Bioinformatics, Institute of Plant Genetics, Polish Academy of Sciences, 60-479 Poznan, Poland.
| | - Robert Hasterok
- Department of Plant Anatomy and Cytology, University of Silesia in Katowice, 40-032 Katowice, Poland.
| | - Scott A Jackson
- Center for Applied Genetic Technologies, University of Georgia, Athens, GA 30602, USA.
| | - Bogdan Wolko
- Department of Genomics, Institute of Plant Genetics, Polish Academy of Sciences, 60-479 Poznan, Poland.
| | - Barbara Naganowska
- Department of Genomics, Institute of Plant Genetics, Polish Academy of Sciences, 60-479 Poznan, Poland.
| |
Collapse
|
|
42
|
Gao D, Chu Y, Xia H, Xu C, Heyduk K, Abernathy B, Ozias-Akins P, Leebens-Mack JH, Jackson SA. Horizontal Transfer of Non-LTR Retrotransposons from Arthropods to Flowering Plants. Mol Biol Evol 2019; 35:354-364. [PMID: 29069493 PMCID: PMC5850137 DOI: 10.1093/molbev/msx275] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
Even though lateral movements of transposons across families and even phyla within multicellular eukaryotic kingdoms have been found, little is known about transposon transfer between the kingdoms Animalia and Plantae. We discovered a novel non-LTR retrotransposon, AdLINE3, in a wild peanut species. Sequence comparisons and phylogenetic analyses indicated that AdLINE3 is a member of the RTE clade, originally identified in a nematode and rarely reported in plants. We identified RTE elements in 82 plants, spanning angiosperms to algae, including recently active elements in some flowering plants. RTE elements in flowering plants were likely derived from a single family we refer to as An-RTE. Interestingly, An-RTEs show significant DNA sequence identity with non-LTR retroelements from 42 animals belonging to four phyla. Moreover, the sequence identity of RTEs between two arthropods and two plants was higher than that of homologous genes. Phylogenetic and evolutionary analyses of RTEs from both animals and plants suggest that the An-RTE family was likely transferred horizontally into angiosperms from an ancient aphid(s) or ancestral arthropod(s). Notably, some An-RTEs were recruited as coding sequences of functional genes participating in metabolic or other biochemical processes in plants. This is the first potential example of horizontal transfer of transposons between animals and flowering plants. Our findings help to understand exchanges of genetic material between the kingdom Animalia and Plantae and suggest arthropods likely impacted on plant genome evolution.
Collapse
Affiliation(s)
- Dongying Gao
- Center for Applied Genetic Technologies, University of Georgia, Athens, GA
| | - Ye Chu
- Department of Horticulture, University of Georgia, Tifton, GA
| | - Han Xia
- Center for Applied Genetic Technologies, University of Georgia, Athens, GA.,Biotechnology Research Center, Shandong Academy of Agricultural Sciences, Jinan, Shandong, China
| | - Chunming Xu
- Center for Applied Genetic Technologies, University of Georgia, Athens, GA
| | - Karolina Heyduk
- Department of Plant Biology, University of Georgia, Athens, GA
| | - Brian Abernathy
- Center for Applied Genetic Technologies, University of Georgia, Athens, GA
| | | | | | - Scott A Jackson
- Center for Applied Genetic Technologies, University of Georgia, Athens, GA
| |
Collapse
|
|
43
|
Agarwal G, Clevenger J, Pandey MK, Wang H, Shasidhar Y, Chu Y, Fountain JC, Choudhary D, Culbreath AK, Liu X, Huang G, Wang X, Deshmukh R, Holbrook CC, Bertioli DJ, Ozias‐Akins P, Jackson SA, Varshney RK, Guo B. High-density genetic map using whole-genome resequencing for fine mapping and candidate gene discovery for disease resistance in peanut. Plant Biotechnol J 2018; 16:1954-1967. [PMID: 29637729 PMCID: PMC6181220 DOI: 10.1111/pbi.12930] [Citation(s) in RCA: 49] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/22/2017] [Revised: 02/28/2018] [Accepted: 03/25/2018] [Indexed: 05/04/2023]
Abstract
Whole-genome resequencing (WGRS) of mapping populations has facilitated development of high-density genetic maps essential for fine mapping and candidate gene discovery for traits of interest in crop species. Leaf spots, including early leaf spot (ELS) and late leaf spot (LLS), and Tomato spotted wilt virus (TSWV) are devastating diseases in peanut causing significant yield loss. We generated WGRS data on a recombinant inbred line population, developed a SNP-based high-density genetic map, and conducted fine mapping, candidate gene discovery and marker validation for ELS, LLS and TSWV. The first sequence-based high-density map was constructed with 8869 SNPs assigned to 20 linkage groups, representing 20 chromosomes, for the 'T' population (Tifrunner × GT-C20) with a map length of 3120 cM and an average distance of 1.45 cM. The quantitative trait locus (QTL) analysis using high-density genetic map and multiple season phenotyping data identified 35 main-effect QTLs with phenotypic variation explained (PVE) from 6.32% to 47.63%. Among major-effect QTLs mapped, there were two QTLs for ELS on B05 with 47.42% PVE and B03 with 47.38% PVE, two QTLs for LLS on A05 with 47.63% and B03 with 34.03% PVE and one QTL for TSWV on B09 with 40.71% PVE. The epistasis and environment interaction analyses identified significant environmental effects on these traits. The identified QTL regions had disease resistance genes including R-genes and transcription factors. KASP markers were developed for major QTLs and validated in the population and are ready for further deployment in genomics-assisted breeding in peanut.
Collapse
Affiliation(s)
- Gaurav Agarwal
- Crop Protection and Management Research UnitUSDA‐ARSTiftonGAUSA
- Department of Plant PathologyUniversity of GeorgiaTiftonGAUSA
- Center of Excellence in Genomics & Systems BiologyInternational Crops Research Institute for the Semi‐Arid Tropics (ICRISAT)HyderabadIndia
| | - Josh Clevenger
- Center for Applied Genetic TechnologiesMars Wrigley ConfectioneryAthensGAUSA
- Center for Applied Genetic TechnologiesUniversity of GeorgiaAthensGAUSA
| | - Manish K. Pandey
- Center of Excellence in Genomics & Systems BiologyInternational Crops Research Institute for the Semi‐Arid Tropics (ICRISAT)HyderabadIndia
| | - Hui Wang
- Crop Protection and Management Research UnitUSDA‐ARSTiftonGAUSA
- Department of Plant PathologyUniversity of GeorgiaTiftonGAUSA
| | - Yaduru Shasidhar
- Center of Excellence in Genomics & Systems BiologyInternational Crops Research Institute for the Semi‐Arid Tropics (ICRISAT)HyderabadIndia
| | - Ye Chu
- Department of Horticulture and Institute of Plant Breeding & GenomicsUniversity of GeorgiaTiftonGAUSA
| | - Jake C. Fountain
- Crop Protection and Management Research UnitUSDA‐ARSTiftonGAUSA
- Department of Plant PathologyUniversity of GeorgiaTiftonGAUSA
| | - Divya Choudhary
- Crop Protection and Management Research UnitUSDA‐ARSTiftonGAUSA
- Department of Plant PathologyUniversity of GeorgiaTiftonGAUSA
| | | | | | | | - Xingjun Wang
- Shandong Academy of Agricultural SciencesBiotechnology Research CenterJinanChina
| | | | | | - David J. Bertioli
- Center for Applied Genetic TechnologiesUniversity of GeorgiaAthensGAUSA
| | - Peggy Ozias‐Akins
- Department of Horticulture and Institute of Plant Breeding & GenomicsUniversity of GeorgiaTiftonGAUSA
| | - Scott A. Jackson
- Center for Applied Genetic TechnologiesUniversity of GeorgiaAthensGAUSA
| | - Rajeev K. Varshney
- Center of Excellence in Genomics & Systems BiologyInternational Crops Research Institute for the Semi‐Arid Tropics (ICRISAT)HyderabadIndia
| | - Baozhu Guo
- Crop Protection and Management Research UnitUSDA‐ARSTiftonGAUSA
| |
Collapse
|
|
44
|
Stein JC, Yu Y, Copetti D, Zwickl DJ, Zhang L, Zhang C, Chougule K, Gao D, Iwata A, Goicoechea JL, Wei S, Wang J, Liao Y, Wang M, Jacquemin J, Becker C, Kudrna D, Zhang J, Londono CEM, Song X, Lee S, Sanchez P, Zuccolo A, Ammiraju JSS, Talag J, Danowitz A, Rivera LF, Gschwend AR, Noutsos C, Wu CC, Kao SM, Zeng JW, Wei FJ, Zhao Q, Feng Q, El Baidouri M, Carpentier MC, Lasserre E, Cooke R, da Rosa Farias D, da Maia LC, Dos Santos RS, Nyberg KG, McNally KL, Mauleon R, Alexandrov N, Schmutz J, Flowers D, Fan C, Weigel D, Jena KK, Wicker T, Chen M, Han B, Henry R, Hsing YIC, Kurata N, de Oliveira AC, Panaud O, Jackson SA, Machado CA, Sanderson MJ, Long M, Ware D, Wing RA. Publisher Correction: Genomes of 13 domesticated and wild rice relatives highlight genetic conservation, turnover and innovation across the genus Oryza. Nat Genet 2018; 50:1618. [PMID: 30291357 DOI: 10.1038/s41588-018-0261-2] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
This article was not made open access when initially published online, which was corrected before print publication. In addition, ORCID links were missing for 12 authors and have been added to the HTML and PDF versions of the article.
Collapse
Affiliation(s)
- Joshua C Stein
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA
| | - Yeisoo Yu
- Arizona Genomics Institute, School of Plant Sciences, University of Arizona, Tucson, AZ, USA.,Phyzen Genomics Institute, Phyzen, Inc., Seoul, South Korea
| | - Dario Copetti
- Arizona Genomics Institute, School of Plant Sciences, University of Arizona, Tucson, AZ, USA.,International Rice Research Institute, Los Baños, Philippines
| | - Derrick J Zwickl
- Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ, USA
| | - Li Zhang
- Department of Ecology and Evolution, University of Chicago, Chicago, IL, USA
| | - Chengjun Zhang
- Department of Ecology and Evolution, University of Chicago, Chicago, IL, USA
| | - Kapeel Chougule
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA.,Arizona Genomics Institute, School of Plant Sciences, University of Arizona, Tucson, AZ, USA
| | - Dongying Gao
- Center for Applied Genetic Technologies, University of Georgia, Athens, GA, USA
| | - Aiko Iwata
- Center for Applied Genetic Technologies, University of Georgia, Athens, GA, USA
| | - Jose Luis Goicoechea
- Arizona Genomics Institute, School of Plant Sciences, University of Arizona, Tucson, AZ, USA
| | - Sharon Wei
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA
| | - Jun Wang
- Department of Biological Sciences, Wayne State University, Detroit, MI, USA
| | - Yi Liao
- State Key Laboratory of Plant Genomics, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China
| | - Muhua Wang
- Arizona Genomics Institute, School of Plant Sciences, University of Arizona, Tucson, AZ, USA.,Friedrich Miescher Laboratory of the Max Planck Society, Tübingen, Germany
| | - Julie Jacquemin
- Arizona Genomics Institute, School of Plant Sciences, University of Arizona, Tucson, AZ, USA.,Crop Biodiversity and Breeding Informatics Group, Institute of Plant Breeding, Seed Science and Population Genetics, University of Hohenheim, Stuttgart, Germany
| | - Claude Becker
- Max Planck Institute for Developmental Biology, Tübingen, Germany
| | - Dave Kudrna
- Arizona Genomics Institute, School of Plant Sciences, University of Arizona, Tucson, AZ, USA
| | - Jianwei Zhang
- Arizona Genomics Institute, School of Plant Sciences, University of Arizona, Tucson, AZ, USA
| | - Carlos E M Londono
- Arizona Genomics Institute, School of Plant Sciences, University of Arizona, Tucson, AZ, USA
| | - Xiang Song
- Arizona Genomics Institute, School of Plant Sciences, University of Arizona, Tucson, AZ, USA
| | - Seunghee Lee
- Arizona Genomics Institute, School of Plant Sciences, University of Arizona, Tucson, AZ, USA
| | - Paul Sanchez
- Arizona Genomics Institute, School of Plant Sciences, University of Arizona, Tucson, AZ, USA.,Rice Experiment Station, Biggs, CA, USA
| | - Andrea Zuccolo
- Arizona Genomics Institute, School of Plant Sciences, University of Arizona, Tucson, AZ, USA.,Institute of Life Sciences, Scuola Superiore Sant'Anna, Pisa, Italy
| | - Jetty S S Ammiraju
- Arizona Genomics Institute, School of Plant Sciences, University of Arizona, Tucson, AZ, USA.,DuPont-Pioneer, Johnston, IA, USA
| | - Jayson Talag
- Arizona Genomics Institute, School of Plant Sciences, University of Arizona, Tucson, AZ, USA
| | - Ann Danowitz
- Arizona Genomics Institute, School of Plant Sciences, University of Arizona, Tucson, AZ, USA
| | - Luis F Rivera
- Arizona Genomics Institute, School of Plant Sciences, University of Arizona, Tucson, AZ, USA.,BIOS-Parque Los Yarumos, Manizales, Colombia
| | - Andrea R Gschwend
- Department of Ecology and Evolution, University of Chicago, Chicago, IL, USA
| | | | - Cheng-Chieh Wu
- Institute of Plant and Microbial Biology, Academia Sinica, Taipei, Taiwan.,Institute of Botany, National Taiwan University, Taipei, Taiwan
| | - Shu-Min Kao
- Institute of Plant and Microbial Biology, Academia Sinica, Taipei, Taiwan.,Department of Plant Systems Biology, VIB and Department of Plant Biotechnology and Bioinformatics, Ghent University, Ghent, Belgium
| | - Jhih-Wun Zeng
- Institute of Plant and Microbial Biology, Academia Sinica, Taipei, Taiwan
| | - Fu-Jin Wei
- Institute of Plant and Microbial Biology, Academia Sinica, Taipei, Taiwan.,Department of Forest Molecular Genetics and Biotechnology, Forestry and Forest Products Research Institute, Tsukuba, Japan
| | - Qiang Zhao
- National Center for Gene Research, Chinese Academy of Sciences, Shanghai, China
| | - Qi Feng
- National Center for Gene Research, Chinese Academy of Sciences, Shanghai, China
| | - Moaine El Baidouri
- Laboratoire Génome et Développement des Plantes, UMR 5096 UPVD/CNRS, Université de Perpignan Via Domitia, Perpignan, France
| | - Marie-Christine Carpentier
- Laboratoire Génome et Développement des Plantes, UMR 5096 UPVD/CNRS, Université de Perpignan Via Domitia, Perpignan, France
| | - Eric Lasserre
- Laboratoire Génome et Développement des Plantes, UMR 5096 UPVD/CNRS, Université de Perpignan Via Domitia, Perpignan, France
| | - Richard Cooke
- Laboratoire Génome et Développement des Plantes, UMR 5096 UPVD/CNRS, Université de Perpignan Via Domitia, Perpignan, France
| | - Daniel da Rosa Farias
- Plant Genomics and Breeding Center, Universidade Federal de Pelotas, Pelotas, Brazil
| | | | - Railson S Dos Santos
- Plant Genomics and Breeding Center, Universidade Federal de Pelotas, Pelotas, Brazil
| | - Kevin G Nyberg
- Department of Biology, University of Maryland, College Park, MD, USA
| | | | - Ramil Mauleon
- International Rice Research Institute, Los Baños, Philippines
| | | | - Jeremy Schmutz
- HudsonAlpha Institute for Biotechnology, Huntsville, AL, USA
| | - Dave Flowers
- HudsonAlpha Institute for Biotechnology, Huntsville, AL, USA
| | - Chuanzhu Fan
- Department of Biological Sciences, Wayne State University, Detroit, MI, USA
| | - Detlef Weigel
- Max Planck Institute for Developmental Biology, Tübingen, Germany
| | - Kshirod K Jena
- International Rice Research Institute, Los Baños, Philippines
| | - Thomas Wicker
- Institute of Plant Biology, University of Zurich, Zurich, Switzerland
| | - Mingsheng Chen
- State Key Laboratory of Plant Genomics, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China
| | - Bin Han
- National Center for Gene Research, Chinese Academy of Sciences, Shanghai, China
| | - Robert Henry
- Queensland Alliance for Agriculture and Food Innovation, University of Queensland, Brisbane, Queensland, Australia
| | - Yue-Ie C Hsing
- Institute of Plant and Microbial Biology, Academia Sinica, Taipei, Taiwan
| | - Nori Kurata
- National Institute of Genetics, Mishima, Japan
| | | | - Olivier Panaud
- Laboratoire Génome et Développement des Plantes, UMR 5096 UPVD/CNRS, Université de Perpignan Via Domitia, Perpignan, France
| | - Scott A Jackson
- Center for Applied Genetic Technologies, University of Georgia, Athens, GA, USA
| | - Carlos A Machado
- Department of Biology, University of Maryland, College Park, MD, USA
| | - Michael J Sanderson
- Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ, USA
| | - Manyuan Long
- Department of Ecology and Evolution, University of Chicago, Chicago, IL, USA
| | - Doreen Ware
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA.,Robert W. Holley Center for Agriculture and Health, US Department of Agriculture, Agricultural Research Service, Ithaca, NY, USA
| | - Rod A Wing
- Arizona Genomics Institute, School of Plant Sciences, University of Arizona, Tucson, AZ, USA. .,International Rice Research Institute, Los Baños, Philippines. .,Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ, USA.
| |
Collapse
|
|
45
|
Wang M, Li W, Fang C, Xu F, Liu Y, Wang Z, Yang R, Zhang M, Liu S, Lu S, Lin T, Tang J, Wang Y, Wang H, Lin H, Zhu B, Chen M, Kong F, Liu B, Zeng D, Jackson SA, Chu C, Tian Z. Parallel selection on a dormancy gene during domestication of crops from multiple families. Nat Genet 2018; 50:1435-1441. [PMID: 30250128 DOI: 10.1038/s41588-018-0229-2] [Citation(s) in RCA: 117] [Impact Index Per Article: 19.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2017] [Accepted: 08/07/2018] [Indexed: 12/27/2022]
Abstract
Domesticated species often exhibit convergent phenotypic evolution, termed the domestication syndrome, of which loss of seed dormancy is a component. To date, dormancy genes that contribute to parallel domestication across different families have not been reported. Here, we cloned the classical stay-green G gene from soybean and found that it controls seed dormancy and showed evidence of selection during soybean domestication. Moreover, orthologs in rice and tomato also showed evidence of selection during domestication. Analysis of transgenic plants confirmed that orthologs of G had conserved functions in controlling seed dormancy in soybean, rice, and Arabidopsis. Functional investigation demonstrated that G affected seed dormancy through interactions with NCED3 and PSY and in turn modulated abscisic acid synthesis. Therefore, we identified a gene responsible for seed dormancy that has been subject to parallel selection in multiple crop families. This may help facilitate the domestication of new crops.
Collapse
Affiliation(s)
- Min Wang
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Wenzhen Li
- University of Chinese Academy of Sciences, Beijing, China
- State Key Laboratory of Plant Genomics, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China
| | - Chao Fang
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Fan Xu
- University of Chinese Academy of Sciences, Beijing, China
- State Key Laboratory of Plant Genomics, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China
| | - Yucheng Liu
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Zheng Wang
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China
| | - Rui Yang
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China
| | - Min Zhang
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China
| | - Shulin Liu
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Sijia Lu
- School of Life Sciences, Guangzhou University, Guangzhou, China
- Key Laboratory of Soybean Molecular Design Breeding, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Harbin, China
| | - Tao Lin
- State Key Laboratory of Plant Genomics, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China
| | - Jiuyou Tang
- State Key Laboratory of Plant Genomics, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China
| | - Yiqin Wang
- State Key Laboratory of Plant Genomics, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China
| | - Hongru Wang
- State Key Laboratory of Plant Genomics, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China
| | - Hao Lin
- Biotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Baoge Zhu
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China
| | - Mingsheng Chen
- University of Chinese Academy of Sciences, Beijing, China
- State Key Laboratory of Plant Genomics, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China
| | - Fanjiang Kong
- School of Life Sciences, Guangzhou University, Guangzhou, China
- Key Laboratory of Soybean Molecular Design Breeding, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Harbin, China
| | - Baohui Liu
- School of Life Sciences, Guangzhou University, Guangzhou, China
- Key Laboratory of Soybean Molecular Design Breeding, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Harbin, China
| | - Dali Zeng
- State Key Laboratory of Rice Biology, China National Rice Research Institute, Chinese Academy of Agricultural Sciences, Hangzhou, China
| | - Scott A Jackson
- Center for Applied Genetic Technologies, Department of Crop and Soil Sciences, University of Georgia, Athens, GA, USA.
| | - Chengcai Chu
- University of Chinese Academy of Sciences, Beijing, China.
- State Key Laboratory of Plant Genomics, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China.
| | - Zhixi Tian
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China.
- University of Chinese Academy of Sciences, Beijing, China.
| |
Collapse
|
|
46
|
Xu C, Nadon BD, Kim KD, Jackson SA. Genetic and epigenetic divergence of duplicate genes in two legume species. Plant Cell Environ 2018; 41:2033-2044. [PMID: 29314059 DOI: 10.1111/pce.13127] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/07/2017] [Accepted: 12/04/2017] [Indexed: 05/20/2023]
Abstract
Soybean (Glycine max) and common bean (Phaseolus vulgaris) share a polyploidy event ~59 MYA, followed by a Glycine-specific whole genome duplication (WGD) ~8-13 MYA. Duplicated genes were classified into five categories: singletons, dispersed, proximal, tandem, or WGD/segmental and found strong correlations between gene category and functional annotation. Photosynthesis and transcriptional regulation-related Gene Ontology terms were significantly over-represented in singletons and WGD genes, respectively, aligning with the gene balance hypothesis. We found that the divergence of gene expression and DNA methylation between WGD-derived paralogs increased with age and that WGD genes, initially retained via dosage constraints, subsequently underwent expression divergence, associated with other factors such as DNA methylation. Genes derived from different modes of duplication differed in breadth, level, and specificity of expression in both species. Orthologous genes and ungrouped genes (genes not in an ortholog group) differed in expression patterns. The protein divergence rates of WGD paralog pairs containing an ungrouped gene were higher than those for which both copies had orthologs. We propose that many ungrouped genes are derived from divergent and redundant gene copies, concordant with the neofunctionalization hypothesis. Tandemly duplicated genes were distinct from WGD-derived genes, indicating that mode of duplication contributes to the evolutionary fate of duplicated genes.
Collapse
Affiliation(s)
- Chunming Xu
- Center for Applied Genetic Technologies, University of Georgia, Athens, 30602, GA, USA
- Key Laboratory of Molecular Epigenetics of the Ministry of Education (MOE), Northeast Normal University, Changchun, 130024, China
| | - Brian D Nadon
- Center for Applied Genetic Technologies, University of Georgia, Athens, 30602, GA, USA
| | - Kyung Do Kim
- Center for Applied Genetic Technologies, University of Georgia, Athens, 30602, GA, USA
| | - Scott A Jackson
- Center for Applied Genetic Technologies, University of Georgia, Athens, 30602, GA, USA
| |
Collapse
|
|
47
|
Leal-Bertioli SCM, Godoy IJ, Santos JF, Doyle JJ, Guimarães PM, Abernathy BL, Jackson SA, Moretzsohn MC, Bertioli DJ. Segmental allopolyploidy in action: Increasing diversity through polyploid hybridization and homoeologous recombination. Am J Bot 2018; 105:1053-1066. [PMID: 29985538 DOI: 10.1002/ajb2.1112] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/28/2018] [Accepted: 04/18/2018] [Indexed: 05/05/2023]
Abstract
PREMISE OF THE STUDY The genetic bottleneck of polyploid formation can be mitigated by multiple origins, gene flow, and recombination among different lineages. In crop plants with limited origins, efforts to increase genetic diversity have limitations. Here we used lineage recombination to increase genetic diversity in peanut, an allotetraploid likely of single origin, by crossing with a novel allopolyploid genotype and selecting improved lines. METHODS Single backcross progeny from cultivated peanut × wild species-derived allotetraploid cross were studied over successive generations. Using genetic assumptions that encompass segmental allotetraploidy, we used single nucleotide polymorphisms and whole-genome sequence data to infer genome structures. KEY RESULTS Selected lines, despite a high proportion of wild alleles, are agronomically adapted, productive, and with improved disease resistances. Wild alleles mostly substituted homologous segments of the peanut genome. Regions of dispersed wild alleles, characteristic of gene conversion, also occurred. However, wild chromosome segments sometimes replaced cultivated peanut's homeologous subgenome; A. ipaënsis B sometimes replaced A. hypogaea A subgenome (~0.6%), and A. duranensis replaced A. hypogaea B subgenome segments (~2%). Furthermore, some subgenome regions historically lost in cultivated peanut were "recovered" by wild chromosome segments (effectively reversing the "polyploid ratchet"). These processes resulted in lines with new genome structure variations. CONCLUSIONS Genetic diversity was introduced by wild allele introgression, and by introducing new genome structure variations. These results highlight the special possibilities of segmental allotetraploidy and of using lineage recombination to increase genetic diversity in peanut, likely mirroring what occurs in natural segmental allopolyploids with multiple origins.
Collapse
Affiliation(s)
- Soraya C M Leal-Bertioli
- University of Georgia, Center for Applied Genetic Technologies, 111 Riverbend Road, Athens, GA, 30602-6810, USA
| | - Ignácio J Godoy
- Campinas Agronomical Institute, Avenida Barão de Itapura, 1.481, Campinas, SP, 13020-902, Brazil
| | - João F Santos
- Campinas Agronomical Institute, Avenida Barão de Itapura, 1.481, Campinas, SP, 13020-902, Brazil
| | - Jeff J Doyle
- Cornell University, School of Integrative Plant Science, Plant Breeding & Genetics Section, Ithaca, NY, 14853, USA
| | - Patrícia M Guimarães
- Embrapa Genetic Resources and Biotechnology, PqEB, W5 Norte Final, Brasília, DF, 70770-917, Brazil
| | - Brian L Abernathy
- University of Georgia, Center for Applied Genetic Technologies, 111 Riverbend Road, Athens, GA, 30602-6810, USA
| | - Scott A Jackson
- University of Georgia, Center for Applied Genetic Technologies, 111 Riverbend Road, Athens, GA, 30602-6810, USA
| | - Márcio C Moretzsohn
- Embrapa Genetic Resources and Biotechnology, PqEB, W5 Norte Final, Brasília, DF, 70770-917, Brazil
| | - David J Bertioli
- University of Georgia, Center for Applied Genetic Technologies, 111 Riverbend Road, Athens, GA, 30602-6810, USA
| |
Collapse
|
|
48
|
Eluri S, Klaver E, Duits LC, Jackson SA, Bergman JJ, Shaheen NJ. Validation of a biomarker panel in Barrett's esophagus to predict progression to esophageal adenocarcinoma. Dis Esophagus 2018; 31:4959873. [PMID: 29635420 PMCID: PMC6215490 DOI: 10.1093/dote/doy026] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
In a prior study, baseline mutational load (ML) predicted progression to high-grade dysplasia (HGD) or esophageal adenocarcinoma (EAC) in Barrett's esophagus (BE) with an area under the curve (AUC) of 0.95. We aimed to validate the test characteristics of this predictive biomarker panel using crude DNA lysates in a larger well-characterized cohort. We performed a nested case-control study of BE patients from three tertiary referral centers in the Netherlands. Cases had baseline nondysplastic BE (NDBE) and developed HGD/EAC ≥ 2 years later. Controls were matched 2:1, had baseline NDBE, and no progression. Polymerase chain reaction (PCR)-based mutational analysis was performed on crude lysates from formalin-fixed, paraffin-embedded tissue. ML was calculated from loss of heterozygosity (LOH) and microsatellite instability (MSI) at 10 genomic loci. Receiver operator characteristic (ROC) curves were created to assess the diagnostic utility of various cutoffs of ML for progression. Of 159 subjects, 58 were progressors and 101 were nonprogressors, there was no difference in mean ML in preprogression tissue in progressors and nonprogressors (ML = 0.73 ± 0.69 vs. ML = 0.74 ± 0.61, P = 0.93). ROC curves showed poor discrimination of ML in predicting progression with AUC of 0.50 at ML ≥ 1. AUC did not vary with different ML cut-points. The utility of the ML to stratify BE patients for risk of progression was not confirmed in this study. The etiology for discrepancies between this and prior studies showing high predictiveness is likely due to the use of crude lysates in this study, but requires further investigation.
Collapse
Affiliation(s)
- S Eluri
- Division of Gastroenterology and Hepatology, University of North Carolina, Chapel Hill, North Carolina,Address correspondence to: Swathi Eluri, MD, MSCR, Division of Gastroenterology and Hepatology, University of North Carolina, 130 Mason Farm Road CB#7080, Chapel Hill, NC 27599, USA.
| | - E Klaver
- Department of Gastroenterology and Hepatology, Academic Medical Center, Amsterdam, The Netherlands
| | - L C Duits
- Department of Gastroenterology and Hepatology, Academic Medical Center, Amsterdam, The Netherlands
| | - S A Jackson
- Interpace Diagnostics, Pittsburgh, Pennsylvania, USA
| | - J J Bergman
- Department of Gastroenterology and Hepatology, Academic Medical Center, Amsterdam, The Netherlands
| | - N J Shaheen
- Division of Gastroenterology and Hepatology, University of North Carolina, Chapel Hill, North Carolina
| |
Collapse
|
|
49
|
Richard MMS, Gratias A, Thareau V, Kim KD, Balzergue S, Joets J, Jackson SA, Geffroy V. Genomic and epigenomic immunity in common bean: the unusual features of NB-LRR gene family. DNA Res 2018; 25:161-172. [PMID: 29149287 PMCID: PMC5909424 DOI: 10.1093/dnares/dsx046] [Citation(s) in RCA: 27] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2017] [Accepted: 10/26/2017] [Indexed: 12/20/2022] Open
Abstract
In plants, a key class of genes comprising most of disease resistance (R) genes encodes Nucleotide-binding leucine-rich repeat (NL) proteins. Access to common bean (Phaseolus vulgaris) genome sequence provides unparalleled insight into the organization and evolution of this large gene family (∼400 NL) in this important crop. As observed in other plant species, most common bean NL are organized in cluster of genes. However, a particularity of common bean is that these clusters are often located in subtelomeric regions close to terminal knobs containing the satellite DNA khipu. Phylogenetically related NL are spread between different chromosome ends, suggesting frequent exchanges between non-homologous chromosomes. NL peculiar location, in proximity to heterochromatic regions, led us to study their DNA methylation status using a whole-genome cytosine methylation map. In common bean, NL genes displayed an unusual body methylation pattern since half of them are methylated in the three contexts, reminiscent of the DNA methylation pattern of repeated sequences. Moreover, 90 NL were also abundantly targeted by 24 nt siRNA, with 90% corresponding to methylated NL genes. This suggests the existence of a transcriptional gene silencing mechanism of NL through the RdDM (RNA-directed DNA methylation) pathway in common bean that has not been described in other plant species.
Collapse
Affiliation(s)
- Manon M S Richard
- Institute of Plant Sciences Paris-Saclay IPS2, CNRS, INRA, Univ Paris-Saclay, Univ Paris-Sud, Univ Evry, Univ Paris-Diderot, Sorbone Paris-Cité, 91405 Orsay, France
| | - Ariane Gratias
- Institute of Plant Sciences Paris-Saclay IPS2, CNRS, INRA, Univ Paris-Saclay, Univ Paris-Sud, Univ Evry, Univ Paris-Diderot, Sorbone Paris-Cité, 91405 Orsay, France
| | - Vincent Thareau
- Institute of Plant Sciences Paris-Saclay IPS2, CNRS, INRA, Univ Paris-Saclay, Univ Paris-Sud, Univ Evry, Univ Paris-Diderot, Sorbone Paris-Cité, 91405 Orsay, France
| | - Kyung Do Kim
- Center for Applied Genetic Technologies, University of Georgia, Athens, GA 30602, USA
| | - Sandrine Balzergue
- Institute of Plant Sciences Paris-Saclay IPS2, CNRS, INRA, Univ Paris-Saclay, Univ Paris-Sud, Univ Evry, Univ Paris-Diderot, Sorbone Paris-Cité, 91405 Orsay, France
- IRHS, INRA, AGROCAMPUS-Ouest, Université d’Angers, SFR 4207 QUASAV, 49071 Beaucouzé cedex, France
| | - Johann Joets
- GQE – Le Moulon, INRA, Univ. Paris-Sud, CNRS, AgroParisTech, Université Paris-Saclay, 91190 Gif-sur-Yvette, France
| | - Scott A Jackson
- Center for Applied Genetic Technologies, University of Georgia, Athens, GA 30602, USA
| | - Valérie Geffroy
- Institute of Plant Sciences Paris-Saclay IPS2, CNRS, INRA, Univ Paris-Saclay, Univ Paris-Sud, Univ Evry, Univ Paris-Diderot, Sorbone Paris-Cité, 91405 Orsay, France
| |
Collapse
|
|
50
|
El Baidouri M, Kim KD, Abernathy B, Li YH, Qiu LJ, Jackson SA. Genic C-Methylation in Soybean Is Associated with Gene Paralogs Relocated to Transposable Element-Rich Pericentromeres. Mol Plant 2018; 11:485-495. [PMID: 29476915 DOI: 10.1016/j.molp.2018.02.006] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/24/2017] [Revised: 02/15/2018] [Accepted: 02/15/2018] [Indexed: 06/08/2023]
Abstract
Most plants are polyploid due to whole-genome duplications (WGD) and can thus have duplicated genes. Following a WGD, paralogs are often fractionated (lost) and few duplicate pairs remain. Little attention has been paid to the role of DNA methylation in the functional divergence of paralogous genes. Using high-resolution methylation maps of accessions of domesticated and wild soybean, we show that in soybean, a recent paleopolyploid with many paralogs, DNA methylation likely contributed to the elimination of genetic redundancy of polyploidy-derived gene paralogs. Transcriptionally silenced paralogs exhibit particular genomic features as they are often associated with proximal transposable elements (TEs) and are preferentially located in pericentromeres, likely due to gene movement during evolution. Additionally, we provide evidence that gene methylation associated with proximal TEs is implicated in the divergence of expression profiles between orthologous genes of wild and domesticated soybean, and within populations.
Collapse
Affiliation(s)
- Moaine El Baidouri
- Center for Applied Genetic Technologies, University of Georgia, 111 Riverbend Road, Athens, GA 30602, USA.
| | - Kyung Do Kim
- Center for Applied Genetic Technologies, University of Georgia, 111 Riverbend Road, Athens, GA 30602, USA; Corporate R&D, LG Chem, LG Science Park, 30 Magokjungang 10-ro, Gangseo-gu, Seoul 07796, Republic of Korea.
| | - Brian Abernathy
- Center for Applied Genetic Technologies, University of Georgia, 111 Riverbend Road, Athens, GA 30602, USA
| | - Ying-Hui Li
- The National Key Facility for Crop Gene Resources and Genetic Improvement (NFCRI), Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Li-Juan Qiu
- The National Key Facility for Crop Gene Resources and Genetic Improvement (NFCRI), Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Scott A Jackson
- Center for Applied Genetic Technologies, University of Georgia, 111 Riverbend Road, Athens, GA 30602, USA.
| |
Collapse
|