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Park H, Lim SJ, Cosme J, O'Connell K, Sandeep J, Gayanilo F, Cutter Jr. GR, Montes E, Nitikitpaiboon C, Fisher S, Moustahfid H, Thompson LR. Investigation of machine learning algorithms for taxonomic classification of marine metagenomes. Microbiol Spectr 2023; 11:e0523722. [PMID: 37695074 PMCID: PMC10580933 DOI: 10.1128/spectrum.05237-22] [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: 12/21/2022] [Accepted: 06/30/2023] [Indexed: 09/12/2023] Open
Abstract
Microbial communities play key roles in ocean ecosystems through regulation of biogeochemical processes such as carbon and nutrient cycling, food web dynamics, and gut microbiomes of invertebrates, fish, reptiles, and mammals. Assessments of marine microbial diversity are therefore critical to understanding spatiotemporal variations in microbial community structure and function in ocean ecosystems. With recent advances in DNA shotgun sequencing for metagenome samples and computational analysis, it is now possible to access the taxonomic and genomic content of ocean microbial communities to study their structural patterns, diversity, and functional potential. However, existing taxonomic classification tools depend upon manually curated phylogenetic trees, which can create inaccuracies in metagenomes from less well-characterized communities, such as from ocean water. Herein, we explore the utility of deep learning tools-DeepMicrobes and a novel Residual Network architecture-that leverage natural language processing and convolutional neural network architectures to map input sequence data (k-mers) to output labels (taxonomic groups) without reliance on a curated taxonomic tree. We trained both models using metagenomic reads simulated from marine microbial genomes in the MarRef database. The performance of both models (accuracy, precision, and percent microbe predicted) was compared with the standard taxonomic classification tool Kraken2 using 10 complex metagenomic data sets simulated from MarRef. Our results demonstrate that time, compute power, and microbial genomic diversity still pose challenges for machine learning (ML). Moreover, our results suggest that high genome coverage and rectification of class imbalance are prerequisites for a well-trained model, and therefore should be a major consideration in future ML work. IMPORTANCE Taxonomic profiling of microbial communities is essential to model microbial interactions and inform habitat conservation. This work develops approaches in constructing training/testing data sets from publicly available marine metagenomes and evaluates the performance of machine learning (ML) approaches in read-based taxonomic classification of marine metagenomes. Predictions from two models are used to test accuracy in metagenomic classification and to guide improvements in ML approaches. Our study provides insights on the methods, results, and challenges of deep learning on marine microbial metagenomic data sets. Future machine learning approaches can be improved by rectifying genome coverage and class imbalance in the training data sets, developing alternative models, and increasing the accessibility of computational resources for model training and refinement.
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Affiliation(s)
- Helen Park
- Center for Synthetic and Systems Biology, School of Life Sciences, Tsinghua-Peking Center for Life Sciences, Tsinghua University, Beijing, China
- EPSRC/BBSRC Future Biomanufacturing Research Hub, EPSRC Synthetic Biology Research Centre SYNBIOCHEM Manchester Institute of Biotechnology and School of Chemistry, The University of Manchester, Manchester, United Kingdom
| | - Shen Jean Lim
- Cooperative Institute for Marine and Atmospheric Studies, Rosenstiel School of Marine, Atmospheric, and Earth Science, University of Miami, Miami, Florida, USA
- Ocean Chemistry and Ecosystems Division, Atlantic Oceanographic and Meteorological Laboratory, National Oceanic and Atmospheric Administration, Miami, Florida, USA
- College of Marine Science, University of South Florida, St Petersburg, Florida, USA
| | | | - Kyle O'Connell
- Deloitte Consulting LLP, Biomedical Data Science Team, Arlington, Virginia, USA
- Department of Vertebrate Zoology, National Museum of Natural History, Smithsonian Institution, Northwest, Washington, DC, USA
| | - Jilla Sandeep
- Harte Research Institute, Texas A&M University-Corpus Christi, Corpus Christi, Texas, USA
| | - Felimon Gayanilo
- Harte Research Institute, Texas A&M University-Corpus Christi, Corpus Christi, Texas, USA
| | - George R. Cutter Jr.
- Southwest Fisheries Science Center, Antarctic Ecosystem Research Division, National Oceanic and Atmospheric Administration, La Jolla, California, USA
| | - Enrique Montes
- Cooperative Institute for Marine and Atmospheric Studies, Rosenstiel School of Marine, Atmospheric, and Earth Science, University of Miami, Miami, Florida, USA
- Ocean Chemistry and Ecosystems Division, Atlantic Oceanographic and Meteorological Laboratory, National Oceanic and Atmospheric Administration, Miami, Florida, USA
| | - Chotinan Nitikitpaiboon
- Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Tokyo, Japan
| | - Sam Fisher
- Deloitte Consulting LLP, Biomedical Data Science Team, Arlington, Virginia, USA
| | - Hassan Moustahfid
- NOAA/US Integrated Ocean Observing System (IOOS), Silver Spring, Maryland, USA
| | - Luke R. Thompson
- Ocean Chemistry and Ecosystems Division, Atlantic Oceanographic and Meteorological Laboratory, National Oceanic and Atmospheric Administration, Miami, Florida, USA
- Northern Gulf Institute, Mississippi State University, Mississippi, USA
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2
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Thompson LR, Thielen P. Decoding dissolved information: environmental DNA sequencing at global scale to monitor a changing ocean. Curr Opin Biotechnol 2023; 81:102936. [PMID: 37060640 DOI: 10.1016/j.copbio.2023.102936] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2023] [Revised: 03/03/2023] [Accepted: 03/13/2023] [Indexed: 04/17/2023]
Abstract
The use of environmental DNA (eDNA) technology for environmental monitoring is rapidly expanding, with applications for fisheries, coral reefs, harmful algal blooms, invasive and endangered species, and biodiversity monitoring. By enabling detection of species over space and time, eDNA fulfills a fundamental need of environmental surveys. Traditional surveys are expensive, require significant capital expenditure, and can be destructive; eDNA offers promise for cheaper, less invasive, and higher-resolution (i.e. genetic) assessments of environments and stocks. However, challenges in quantification, detection limits, biobanking capacity, reference databases, and data management and integration remain significant hurdles to efficient eDNA monitoring at global and decadal scale. Here, we consider the current state of eDNA technology and its suitability for the problems for which it is being used. We explore the current best practices, the logistical and social challenges that prevent eDNA from widespread adoption and benefit, and the emerging technologies that may address those challenges.
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Affiliation(s)
- Luke R Thompson
- Northern Gulf Institute, Mississippi State University, 2 Research Blvd, Starkville, MS 39759, USA; Ocean Chemistry and Ecosystems Division, Atlantic Oceanographic and Meteorological Laboratory, National Oceanic and Atmospheric Administration, 4301 Rickenbacker Cswy, Miami, FL 33149, USA.
| | - Peter Thielen
- Johns Hopkins University Applied Physics Laboratory, 11100 Johns Hopkins Road, Laurel, MD 20723-6099, USA
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3
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Thompson LR, Anderson SR, Den Uyl PA, Patin NV, Lim SJ, Sanderson G, Goodwin KD. Tourmaline: A containerized workflow for rapid and iterable amplicon sequence analysis using QIIME 2 and Snakemake. Gigascience 2022; 11:6651346. [PMID: 35902092 PMCID: PMC9334028 DOI: 10.1093/gigascience/giac066] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [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: 09/11/2021] [Revised: 02/28/2022] [Accepted: 06/15/2022] [Indexed: 12/21/2022] Open
Abstract
Background Amplicon sequencing (metabarcoding) is a common method to survey diversity of environmental communities whereby a single genetic locus is amplified and sequenced from the DNA of whole or partial organisms, organismal traces (e.g., skin, mucus, feces), or microbes in an environmental sample. Several software packages exist for analyzing amplicon data, among which QIIME 2 has emerged as a popular option because of its broad functionality, plugin architecture, provenance tracking, and interactive visualizations. However, each new analysis requires the user to keep track of input and output file names, parameters, and commands; this lack of automation and standardization is inefficient and creates barriers to meta-analysis and sharing of results. Findings We developed Tourmaline, a Python-based workflow that implements QIIME 2 and is built using the Snakemake workflow management system. Starting from a configuration file that defines parameters and input files—a reference database, a sample metadata file, and a manifest or archive of FASTQ sequences—it uses QIIME 2 to run either the DADA2 or Deblur denoising algorithm; assigns taxonomy to the resulting representative sequences; performs analyses of taxonomic, alpha, and beta diversity; and generates an HTML report summarizing and linking to the output files. Features include support for multiple cores, automatic determination of trimming parameters using quality scores, representative sequence filtering (taxonomy, length, abundance, prevalence, or ID), support for multiple taxonomic classification and sequence alignment methods, outlier detection, and automated initialization of a new analysis using previous settings. The workflow runs natively on Linux and macOS or via a Docker container. We ran Tourmaline on a 16S ribosomal RNA amplicon data set from Lake Erie surface water, showing its utility for parameter optimization and the ability to easily view interactive visualizations through the HTML report, QIIME 2 viewer, and R- and Python-based Jupyter notebooks. Conclusion Automated workflows like Tourmaline enable rapid analysis of environmental amplicon data, decreasing the time from data generation to actionable results. Tourmaline is available for download at github.com/aomlomics/tourmaline.
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Affiliation(s)
- Luke R Thompson
- Northern Gulf Institute, Mississippi State University, Mississippi State, MS 39762, USA.,Ocean Chemistry and Ecosystems Division, Atlantic Oceanographic and Meteorological Laboratory, National Oceanic and Atmospheric Administration, Miami, FL 33149, USA
| | - Sean R Anderson
- Northern Gulf Institute, Mississippi State University, Mississippi State, MS 39762, USA.,Ocean Chemistry and Ecosystems Division, Atlantic Oceanographic and Meteorological Laboratory, National Oceanic and Atmospheric Administration, Miami, FL 33149, USA
| | - Paul A Den Uyl
- Cooperative Institute for Great Lakes Research, University of Michigan, Ann Arbor, MI 48108, USA
| | - Nastassia V Patin
- Ocean Chemistry and Ecosystems Division, Atlantic Oceanographic and Meteorological Laboratory, National Oceanic and Atmospheric Administration, Miami, FL 33149, USA.,Cooperative Institute for Marine and Atmospheric Studies, Rosenstiel School of Marine and Atmospheric Science, University of Miami, Miami, FL 33149, USA
| | - Shen Jean Lim
- Ocean Chemistry and Ecosystems Division, Atlantic Oceanographic and Meteorological Laboratory, National Oceanic and Atmospheric Administration, Miami, FL 33149, USA.,Cooperative Institute for Marine and Atmospheric Studies, Rosenstiel School of Marine and Atmospheric Science, University of Miami, Miami, FL 33149, USA
| | - Grant Sanderson
- Marine Science Department, University of Hawaii, Hilo, HI 96720, USA
| | - Kelly D Goodwin
- Ocean Chemistry and Ecosystems Division, Atlantic Oceanographic and Meteorological Laboratory, National Oceanic and Atmospheric Administration, Miami, FL 33149, USA
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4
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Jorge F, Brealey JC, Brindley PJ, Buysse M, Cantacessi C, Duron O, Fichorova R, Fitzpatrick CR, Hahn M, Hunter C, Hervé V, Knoll LJ, Kohl KD, Lalle M, Lukeš J, Martínez JM, Perkins SL, Poulin R, Rosario K, Schneider AC, Schriml LM, Thompson LR, Walls RL, Dheilly NM. MIxS-SA: a MIxS extension defining the minimum information standard for sequence data from symbiont-associated micro-organisms. ISME Commun 2022; 2:9. [PMID: 37938691 PMCID: PMC9723553 DOI: 10.1038/s43705-022-00092-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/28/2021] [Revised: 12/26/2021] [Accepted: 01/10/2022] [Indexed: 05/04/2023]
Abstract
The symbiont-associated (SA) environmental package is a new extension to the minimum information about any (x) sequence (MIxS) standards, established by the Parasite Microbiome Project (PMP) consortium, in collaboration with the Genomics Standard Consortium. The SA was built upon the host-associated MIxS standard, but reflects the nestedness of symbiont-associated microbiota within and across host-symbiont-microbe interactions. This package is designed to facilitate the collection and reporting of a broad range of metadata information that apply to symbionts such as life history traits, association with one or multiple host organisms, or the nature of host-symbiont interactions along the mutualism-parasitism continuum. To better reflect the inherent nestedness of all biological systems, we present a novel feature that allows users to co-localize samples, to nest a package within another package, and to identify replicates. Adoption of the MIxS-SA and of the new terms will facilitate reports of complex sampling design from a myriad of environments.
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Affiliation(s)
- Fátima Jorge
- Department of Zoology, University of Otago, Dunedin, New Zealand.
| | - Jaelle C Brealey
- Department of Natural History, NTNU University Museum, Norwegian University of Science and Technology, Trondheim, Norway
| | - Paul J Brindley
- Department of Microbiology, Immunology and Tropical Medicine, School of Medicine & Health Sciences, George Washington University, Washington, D.C, 20037, USA
| | - Marie Buysse
- MIVEGEC (Maladies Infectieuses et Vecteurs: Ecologie, Génétique, Evolution et Contrôle), Centre National de la Recherche Scientifique (CNRS)-Institut pour la Recherche et le Développement (IRD) - Université de Montpellier (UM), Montpellier, France
- CREES (Centre de Recherche en Écologie et Évolution de la Santé), Montpellier, France
| | - Cinzia Cantacessi
- Department of Veterinary Medicine, University of Cambridge, Cambridge, CB3 0ES, UK
| | - Olivier Duron
- MIVEGEC (Maladies Infectieuses et Vecteurs: Ecologie, Génétique, Evolution et Contrôle), Centre National de la Recherche Scientifique (CNRS)-Institut pour la Recherche et le Développement (IRD) - Université de Montpellier (UM), Montpellier, France
- CREES (Centre de Recherche en Écologie et Évolution de la Santé), Montpellier, France
| | - Raina Fichorova
- Department of Obstetrics, Gynecology and Reproductive Biology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Connor R Fitzpatrick
- Biology Department, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Megan Hahn
- New York City Department of Health and Mental Hygiene, Long Island City, NY, USA
| | | | - Vincent Hervé
- Institut de Recherche sur la Biologie de l'Insecte, UMR 7261, CNRS-Université de Tours, Avenue Monge, Parc Grandmont, 37200, Tours, France
| | - Laura J Knoll
- Department of Medical Microbiology and Immunology, University of Wisconsin-Madison, Madison, WI, USA
| | - Kevin D Kohl
- Department of Biological Sciences, University of Pittsburgh, Pittsburgh, PA, 15260, USA
| | - Marco Lalle
- Department of Infectious Diseases, Foodborne and Neglected Parasitic Diseases; European Union Reference Laboratory for Parasite, Istituto Superiore di Sanità, Rome, Italy
| | - Julius Lukeš
- Institute of Parasitology, Biology Centre, Czech Academy of Sciences, and Faculty of Sciences, University of South Bohemia, České Budějovice (Budweis), České Budějovice, Czech Republic
| | | | - Susan L Perkins
- Department of Biology, The City College of New York, New York, NY, 10031, USA
| | - Robert Poulin
- Department of Zoology, University of Otago, Dunedin, New Zealand
| | - Karyna Rosario
- College of Marine Science, University of South Florida, Saint Petersburg, FL, USA
| | - Adam C Schneider
- Biology and Health Sciences Department, Hendrix College, Conway, AR, USA
| | - Lynn M Schriml
- Institute for Genome Sciences, Department of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, MD, 21201, USA
| | - Luke R Thompson
- Northern Gulf Institute, Mississippi State University, Mississippi State, MS, 39762, USA
- Ocean Chemistry and Ecosystems Division, Atlantic Oceanographic and Meteorological Laboratory, National Oceanic and Atmospheric Administration, Miami, FL, 33149, USA
| | - Ramona L Walls
- Data Collaboration Center, Critical Path Institute, Tucson, AZ, USA
| | - Nolwenn M Dheilly
- ANSES, Agence Nationale de Sécurité Sanitaire de l'Alimentation, de l'Environnement et du Travail - Laboratoire de Ploufragan-Plouzané, Unité Génétique Virale de Biosécurité, Ploufragan, France.
- Anses, INRAE, Ecole Nationale Vétérinaire d'Alfort, UMR VIROLOGIE, Laboratoire de Santé Animale, 94700, Maisons-Alfort, France.
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5
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Formel N, Enochs IC, Sinigalliano C, Anderson SR, Thompson LR. Subsurface automated samplers for eDNA (SASe) for biological monitoring and research. HardwareX 2021; 10:e00239. [PMID: 35607674 PMCID: PMC9123479 DOI: 10.1016/j.ohx.2021.e00239] [Citation(s) in RCA: 4] [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] [Subscribe] [Scholar Register] [Received: 06/12/2021] [Revised: 10/04/2021] [Accepted: 10/09/2021] [Indexed: 05/05/2023]
Abstract
Sampling of environmental DNA (eDNA) in seawater is an increasingly common approach to non-invasively assess marine biodiversity, detect cryptic or invasive species, and monitor specific groups of organisms. Despite this remarkable utility, collection and filtration of eDNA samples in the field still requires considerable time and effort. Recent advancements in automated water samplers have standardized the eDNA collection process, allowing researchers to collect eDNA day or night, sample in locations that are difficult to access, and remove the need for highly trained personnel to perform sampling. However, the high cost of purchasing or building these samplers represents a financial hurdle to widespread application. To overcome this difficulty, we have designed and built a low-cost subsurface automated sampler for eDNA (SASe). Each sampler is submersible to 55 m, can filter a pre-programmable volume of water, and preserves eDNA at the site of collection. SASe samplers have replaceable filters and a low build cost (∼280 USD vs. >100,000 USD for other eDNA samplers), which facilitates repeated field sampling at fine spatial and temporal scales. Lab testing has shown the SASe to be as effective as a standard desktop peristaltic pump for sampling, preserving, and recovering marine eDNA. SASe design files and operating code are open-source, promoting the use of this tool to meet a range of future eDNA research applications, including project-specific customizations to the current design.
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Affiliation(s)
- Nathan Formel
- Ocean Chemistry and Ecosystems Division, Atlantic Oceanographic and Meteorological Laboratory, NOAA, 4301 Rickenbacker Cswy, Miami, FL 33149, USA
- Cooperative Institute for Marine and Atmospheric Studies, University of Miami, 4600 Rickenbacker Cswy, Miami, FL 33149, USA
| | - Ian C. Enochs
- Ocean Chemistry and Ecosystems Division, Atlantic Oceanographic and Meteorological Laboratory, NOAA, 4301 Rickenbacker Cswy, Miami, FL 33149, USA
| | - Chris Sinigalliano
- Ocean Chemistry and Ecosystems Division, Atlantic Oceanographic and Meteorological Laboratory, NOAA, 4301 Rickenbacker Cswy, Miami, FL 33149, USA
| | - Sean R. Anderson
- Ocean Chemistry and Ecosystems Division, Atlantic Oceanographic and Meteorological Laboratory, NOAA, 4301 Rickenbacker Cswy, Miami, FL 33149, USA
- Northern Gulf Institute, Mississippi State University, 2 Research Blvd, Starkville, MS 39759, USA
| | - Luke R. Thompson
- Ocean Chemistry and Ecosystems Division, Atlantic Oceanographic and Meteorological Laboratory, NOAA, 4301 Rickenbacker Cswy, Miami, FL 33149, USA
- Northern Gulf Institute, Mississippi State University, 2 Research Blvd, Starkville, MS 39759, USA
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6
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Pade KH, Thompson LR, Ravandi B, Chang TP, Barry F, Halterman JS, Szilagyi PG, Okelo SO. Parental perception of a picture-based chronic asthma care management tool in an urban pediatric emergency department. J Asthma 2020; 58:1013-1023. [PMID: 32249659 DOI: 10.1080/02770903.2020.1753210] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
Abstract
BACKGROUND National asthma guidelines recommend use of an asthma action plan (AAP) as part of chronic asthma care. Unfortunately, AAPs have not been tailored for use in acute care settings, where many patients at risk for poor chronic asthma care are seen, including those who are non-English-speaking or have low literacy levels. We previously developed a picture-based medication plan (PBMP), a unique type of AAP for use in an ambulatory setting and designed to increase patient use and understanding. However, little is known about how parents seeking emergency department (ED) asthma care would perceive the PBMP. OBJECTIVE To assess parental attitudes toward an asthma PBMP in the largest pediatric ED in Los Angeles County. METHODS We surveyed a consecutive sample of English- or Spanish-speaking parents of children 2-17 years seeking ED asthma care. Parents used a 5-point Likert scale for various statements regarding their perceptions of the PBMP. Responses were analyzed by sociodemographics, asthma control, and health literacy using Chi-squared and t-tests. RESULTS 90 parents provided feedback on the PBMP. The majority of parents endorsed the PBMP. Endorsement was 20%-30% higher among Spanish-speaking parents and those who did not complete high-school compared to English-speaking parents and parents with a high school education or higher (p < 0.05 for both comparisons). CONCLUSION Spanish-speaking parents and parents with less than a high-school education overwhelmingly endorsed the PBMP. It may be useful to consider incorporating the PBMP as part of patient-centered chronic asthma care strategies for populations seen in ED settings.
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Affiliation(s)
- K H Pade
- UCSD School of Medicine, Rady Children's Hospital San Diego, San Diego, CA, USA
| | - L R Thompson
- Department of Pediatrics, UCLA David Geffen School of Medicine, Los Angeles, CA, USA
| | - B Ravandi
- Children's Hospital Los Angeles, University of Southern California, Los Angeles, CA, USA
| | - T P Chang
- Children's Hospital Los Angeles, University of Southern California, Los Angeles, CA, USA
| | - F Barry
- Department of Pediatrics, UCLA David Geffen School of Medicine, Los Angeles, CA, USA
| | - J S Halterman
- Department of Pediatrics, University of Rochester School of Medicine, Rochester, NY, USA
| | - P G Szilagyi
- Department of Pediatrics, UCLA David Geffen School of Medicine, Los Angeles, CA, USA
| | - S O Okelo
- Department of Pediatrics, UCLA David Geffen School of Medicine, Los Angeles, CA, USA
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7
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Bolyen E, Rideout JR, Dillon MR, Bokulich NA, Abnet CC, Al-Ghalith GA, Alexander H, Alm EJ, Arumugam M, Asnicar F, Bai Y, Bisanz JE, Bittinger K, Brejnrod A, Brislawn CJ, Brown CT, Callahan BJ, Caraballo-Rodríguez AM, Chase J, Cope EK, Da Silva R, Diener C, Dorrestein PC, Douglas GM, Durall DM, Duvallet C, Edwardson CF, Ernst M, Estaki M, Fouquier J, Gauglitz JM, Gibbons SM, Gibson DL, Gonzalez A, Gorlick K, Guo J, Hillmann B, Holmes S, Holste H, Huttenhower C, Huttley GA, Janssen S, Jarmusch AK, Jiang L, Kaehler BD, Kang KB, Keefe CR, Keim P, Kelley ST, Knights D, Koester I, Kosciolek T, Kreps J, Langille MGI, Lee J, Ley R, Liu YX, Loftfield E, Lozupone C, Maher M, Marotz C, Martin BD, McDonald D, McIver LJ, Melnik AV, Metcalf JL, Morgan SC, Morton JT, Naimey AT, Navas-Molina JA, Nothias LF, Orchanian SB, Pearson T, Peoples SL, Petras D, Preuss ML, Pruesse E, Rasmussen LB, Rivers A, Robeson MS, Rosenthal P, Segata N, Shaffer M, Shiffer A, Sinha R, Song SJ, Spear JR, Swafford AD, Thompson LR, Torres PJ, Trinh P, Tripathi A, Turnbaugh PJ, Ul-Hasan S, van der Hooft JJJ, Vargas F, Vázquez-Baeza Y, Vogtmann E, von Hippel M, Walters W, Wan Y, Wang M, Warren J, Weber KC, Williamson CHD, Willis AD, Xu ZZ, Zaneveld JR, Zhang Y, Zhu Q, Knight R, Caporaso JG. Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2. Nat Biotechnol 2019; 37:852-857. [PMID: 31341288 DOI: 10.1038/s41587-019-0209-9] [Citation(s) in RCA: 8073] [Impact Index Per Article: 1614.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Affiliation(s)
- Evan Bolyen
- Center for Applied Microbiome Science, Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ, USA
| | - Jai Ram Rideout
- Center for Applied Microbiome Science, Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ, USA
| | - Matthew R Dillon
- Center for Applied Microbiome Science, Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ, USA
| | - Nicholas A Bokulich
- Center for Applied Microbiome Science, Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ, USA
| | - Christian C Abnet
- Metabolic Epidemiology Branch, National Cancer Institute, Rockville, MD, USA
| | - Gabriel A Al-Ghalith
- Department of Computer Science and Engineering, University of Minnesota, Minneapolis, MN, USA
| | - Harriet Alexander
- Biology Department, Woods Hole Oceanographic Institution, Woods Hole, MA, USA.,Department of Population Health and Reproduction, University of California, Davis, Davis, CA, USA
| | - Eric J Alm
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.,Center for Microbiome Informatics and Therapeutics, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Manimozhiyan Arumugam
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | | | - Yang Bai
- State Key Laboratory of Plant Genomics, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China.,Centre of Excellence for Plant and Microbial Sciences (CEPAMS), Institute of Genetics and Developmental Biology, Chinese Academy of Sciences & John Innes Centre, Beijing, China.,University of Chinese Academy of Sciences, Beijing, China
| | - Jordan E Bisanz
- Department of Microbiology and Immunology, University of California, San Francisco, San Francisco, CA, USA
| | - Kyle Bittinger
- Division of Gastroenterology and Nutrition, Children's Hospital of Philadelphia, Philadelphia, PA, USA.,Hepatology, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Asker Brejnrod
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Colin J Brislawn
- Earth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, WA, USA
| | - C Titus Brown
- Department of Population Health and Reproduction, University of California, Davis, Davis, CA, USA
| | - Benjamin J Callahan
- Department of Population Health & Pathobiology, North Carolina State University, Raleigh, NC, USA.,Bioinformatics Research Center, North Carolina State University, Raleigh, NC, USA
| | - Andrés Mauricio Caraballo-Rodríguez
- Collaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, San Diego, CA, USA
| | - John Chase
- Center for Applied Microbiome Science, Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ, USA
| | - Emily K Cope
- Center for Applied Microbiome Science, Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ, USA.,Department of Biological Sciences, Northern Arizona University, Flagstaff, AZ, USA
| | - Ricardo Da Silva
- Collaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, San Diego, CA, USA
| | | | - Pieter C Dorrestein
- Collaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, San Diego, CA, USA
| | - Gavin M Douglas
- Department of Microbiology and Immunology, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Daniel M Durall
- Irving K. Barber School of Arts and Sciences, University of British Columbia, Kelowna, British Columbia, Canada
| | - Claire Duvallet
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Christian F Edwardson
- A. Watson Armour III Center for Animal Health and Welfare, Aquarium Microbiome Project, John G. Shedd Aquarium, Chicago, IL, USA
| | - Madeleine Ernst
- Collaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, San Diego, CA, USA.,Department of Congenital Disorders, Statens Serum Institut, Copenhagen, Denmark
| | - Mehrbod Estaki
- Department of Biology, University of British Columbia Okanagan, Okanagan, British Columbia, Canada
| | - Jennifer Fouquier
- Computational Bioscience Program, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.,Department of Medicine, Division of Biomedical Informatics and Personalized Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Julia M Gauglitz
- Collaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, San Diego, CA, USA
| | - Sean M Gibbons
- Institute for Systems Biology, Seattle, WA, USA.,eScience Institute, University of Washington, Seattle, WA, USA
| | - Deanna L Gibson
- Irving K. Barber School of Arts and Sciences, Department of Biology, University of British Columbia, Kelowna, British Columbia, Canada.,Department of Medicine, University of British Columbia, Kelowna, British Columbia, Canada
| | - Antonio Gonzalez
- Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Kestrel Gorlick
- Center for Applied Microbiome Science, Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ, USA
| | - Jiarong Guo
- Center for Microbial Ecology, Michigan State University, East Lansing, MI, USA
| | - Benjamin Hillmann
- Department of Computer Science and Engineering, University of Minnesota, Minneapolis, MN, USA
| | - Susan Holmes
- Statistics Department, Stanford University, Palo Alto, CA, USA
| | - Hannes Holste
- Department of Pediatrics, University of California San Diego, La Jolla, CA, USA.,Department of Computer Science and Engineering, University of California San Diego, La Jolla, CA, USA
| | - Curtis Huttenhower
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA.,Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Gavin A Huttley
- Research School of Biology, The Australian National University, Canberra, Australian Capital Territory, Australia
| | - Stefan Janssen
- Department of Pediatric Oncology, Hematology and Clinical Immunology, Heinrich-Heine University Dusseldorf, Dusseldorf, Germany
| | - Alan K Jarmusch
- Collaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, San Diego, CA, USA
| | - Lingjing Jiang
- Department of Family Medicine and Public Health, University of California San Diego, La Jolla, CA, USA
| | - Benjamin D Kaehler
- Research School of Biology, The Australian National University, Canberra, Australian Capital Territory, Australia.,School of Science, University of New South Wales, Canberra, Australian Capital Territory, Australia
| | - Kyo Bin Kang
- Collaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, San Diego, CA, USA.,College of Pharmacy, Sookmyung Women's University, Seoul, Republic of Korea
| | - Christopher R Keefe
- Center for Applied Microbiome Science, Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ, USA
| | - Paul Keim
- Center for Applied Microbiome Science, Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ, USA
| | - Scott T Kelley
- Department of Biology, San Diego State University, San Diego, CA, USA
| | - Dan Knights
- Department of Computer Science and Engineering, University of Minnesota, Minneapolis, MN, USA.,Biotechnology Institute, University of Minnesota, Saint Paul, MN, USA
| | - Irina Koester
- Collaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, San Diego, CA, USA.,Scripps Institution of Oceanography, University of California San Diego, La Jolla, CA, USA
| | - Tomasz Kosciolek
- Department of Pediatrics, University of California San Diego, La Jolla, California, USA
| | - Jorden Kreps
- Center for Applied Microbiome Science, Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ, USA
| | - Morgan G I Langille
- Department of Pharmacology, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Joslynn Lee
- Science Education, Howard Hughes Medical Institute, Ashburn, VA, USA
| | - Ruth Ley
- Department of Microbiome Science, Max Planck Institute for Developmental Biology, Tübingen, Germany.,Department of Molecular Biology and Genetics, Cornell University, Ithaca, NY, USA
| | - Yong-Xin Liu
- State Key Laboratory of Plant Genomics, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China.,Centre of Excellence for Plant and Microbial Sciences (CEPAMS), Institute of Genetics and Developmental Biology, Chinese Academy of Sciences & John Innes Centre, Beijing, China
| | - Erikka Loftfield
- Metabolic Epidemiology Branch, National Cancer Institute, Rockville, MD, USA
| | - Catherine Lozupone
- Department of Medicine, Division of Biomedical Informatics and Personalized Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Massoud Maher
- Department of Computer Science & Engineering, University of California San Diego, La Jolla, CA, USA
| | - Clarisse Marotz
- Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Bryan D Martin
- Department of Statistics, University of Washington, Seattle, WA, USA
| | - Daniel McDonald
- Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Lauren J McIver
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA.,Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Alexey V Melnik
- Collaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, San Diego, CA, USA
| | - Jessica L Metcalf
- Department of Animal Science, Colorado State University, Fort Collins, CO, USA
| | - Sydney C Morgan
- Irving K. Barber School of Arts and Sciences, Unit 2 (Biology), University of British Columbia, Kelowna, British Columbia, Canada
| | - Jamie T Morton
- Department of Pediatrics, University of California San Diego, La Jolla, CA, USA.,Department of Computer Science & Engineering, University of California San Diego, La Jolla, CA, USA
| | - Ahmad Turan Naimey
- Center for Applied Microbiome Science, Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ, USA
| | - Jose A Navas-Molina
- Department of Pediatrics, University of California San Diego, La Jolla, CA, USA.,Department of Computer Science & Engineering, University of California San Diego, La Jolla, CA, USA.,Google LLC, Mountain View, CA, USA
| | - Louis Felix Nothias
- Collaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, San Diego, CA, USA
| | - Stephanie B Orchanian
- Center for Microbiome Innovation, University of California San Diego, La Jolla, CA, USA
| | - Talima Pearson
- Center for Applied Microbiome Science, Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ, USA
| | - Samuel L Peoples
- School of Information Studies, Syracuse University, Syracuse, NY, USA.,School of STEM, University of Washington Bothell, Bothell, WA, USA
| | - Daniel Petras
- Collaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, San Diego, CA, USA
| | - Mary Lai Preuss
- Department of Biological Sciences, Webster University, St. Louis, MO, USA
| | - Elmar Pruesse
- Department of Medicine, Division of Biomedical Informatics and Personalized Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Lasse Buur Rasmussen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Adam Rivers
- Agricultural Research Service, Genomics and Bioinformatics Research Unit, United States Department of Agriculture, Gainesville, FL, USA
| | - Michael S Robeson
- College of Medicine, Department of Biomedical Informatics, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Patrick Rosenthal
- Department of Biological Sciences, Webster University, St. Louis, MO, USA
| | - Nicola Segata
- Centre for Integrative Biology, University of Trento, Trento, Italy
| | - Michael Shaffer
- Computational Bioscience Program, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.,Department of Medicine, Division of Biomedical Informatics and Personalized Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Arron Shiffer
- Center for Applied Microbiome Science, Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ, USA
| | - Rashmi Sinha
- Metabolic Epidemiology Branch, National Cancer Institute, Rockville, MD, USA
| | - Se Jin Song
- Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - John R Spear
- Department of Civil and Environmental Engineering, Colorado School of Mines, Golden, CO, USA
| | - Austin D Swafford
- Center for Microbiome Innovation, University of California San Diego, La Jolla, CA, USA
| | - Luke R Thompson
- Department of Biological Sciences and Northern Gulf Institute, University of Southern Mississippi, Hattiesburg, MS, USA.,Ocean Chemistry and Ecosystems Division, Atlantic Oceanographic and Meteorological Laboratory, National Oceanic and Atmospheric Administration, La Jolla, CA, USA
| | - Pedro J Torres
- Department of Biology, San Diego State University, San Diego, CA, USA
| | - Pauline Trinh
- Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, WA, USA
| | - Anupriya Tripathi
- Collaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, San Diego, CA, USA.,Department of Pediatrics, University of California San Diego, La Jolla, CA, USA.,Division of Biological Sciences, University of California San Diego, San Diego, CA, USA
| | - Peter J Turnbaugh
- Department of Microbiology and Immunology, University of California San Francisco, San Francisco, CA, USA
| | - Sabah Ul-Hasan
- Quantitative and Systems Biology Graduate Program, University of California Merced, Merced, CA, USA
| | | | - Fernando Vargas
- Division of Biological Sciences, University of California San Diego, San Diego, CA, USA
| | | | - Emily Vogtmann
- Metabolic Epidemiology Branch, National Cancer Institute, Rockville, MD, USA
| | - Max von Hippel
- Department of Mathematics, University of Arizona, Tucson, AZ, USA
| | - William Walters
- Department of Microbiome Science, Max Planck Institute for Developmental Biology, Tübingen, Germany
| | - Yunhu Wan
- Metabolic Epidemiology Branch, National Cancer Institute, Rockville, MD, USA
| | - Mingxun Wang
- Collaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, San Diego, CA, USA
| | - Jonathan Warren
- National Laboratory Service, Environment Agency, Starcross, UK
| | - Kyle C Weber
- Agricultural Research Service, Genomics and Bioinformatics Research Unit, United States Department of Agriculture, Gainesville, FL, USA.,College of Agriculture and Life Sciences, University of Florida, Gainesville, FL, USA
| | | | - Amy D Willis
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Zhenjiang Zech Xu
- Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Jesse R Zaneveld
- School of STEM, Division of Biological Sciences, University of Washington Bothell, Bothell, WA, USA
| | | | - Qiyun Zhu
- Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Rob Knight
- Department of Pediatrics, University of California San Diego, La Jolla, CA, USA.,Center for Microbiome Innovation, University of California San Diego, La Jolla, CA, USA.,Department of Computer Science and Engineering, University of California San Diego, La Jolla, CA, USA
| | - J Gregory Caporaso
- Center for Applied Microbiome Science, Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ, USA. .,Department of Biological Sciences, Northern Arizona University, Flagstaff, AZ, USA.
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8
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Cao L, Gurevich A, Alexander KL, Naman CB, Leão T, Glukhov E, Luzzatto-Knaan T, Vargas F, Quinn R, Bouslimani A, Nothias LF, Singh NK, Sanders JG, Benitez RAS, Thompson LR, Hamid MN, Morton JT, Mikheenko A, Shlemov A, Korobeynikov A, Friedberg I, Knight R, Venkateswaran K, Gerwick WH, Gerwick L, Dorrestein PC, Pevzner PA, Mohimani H. MetaMiner: A Scalable Peptidogenomics Approach for Discovery of Ribosomal Peptide Natural Products with Blind Modifications from Microbial Communities. Cell Syst 2019; 9:600-608.e4. [PMID: 31629686 DOI: 10.1016/j.cels.2019.09.004] [Citation(s) in RCA: 38] [Impact Index Per Article: 7.6] [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: 01/11/2019] [Revised: 04/23/2019] [Accepted: 09/12/2019] [Indexed: 12/22/2022]
Abstract
Ribosomally synthesized and post-translationally modified peptides (RiPPs) are an important class of natural products that contain antibiotics and a variety of other bioactive compounds. The existing methods for discovery of RiPPs by combining genome mining and computational mass spectrometry are limited to discovering specific classes of RiPPs from small datasets, and these methods fail to handle unknown post-translational modifications. Here, we present MetaMiner, a software tool for addressing these challenges that is compatible with large-scale screening platforms for natural product discovery. After searching millions of spectra in the Global Natural Products Social (GNPS) molecular networking infrastructure against just eight genomic and metagenomic datasets, MetaMiner discovered 31 known and seven unknown RiPPs from diverse microbial communities, including human microbiome and lichen microbiome, and microorganisms isolated from the International Space Station.
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Affiliation(s)
- Liu Cao
- Computational Biology Department, Carnegie Mellon University, Pittsburgh, PA, USA
| | - Alexey Gurevich
- Center for Algorithmic Biotechnology, Institute of Translational Biomedicine, St. Petersburg State University, St. Petersburg, Russia
| | - Kelsey L Alexander
- Center for Marine Biotechnology and Biomedicine, Scripps Institution of Oceanography and Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, San Diego, CA, USA; Department of Chemistry and Biochemistry, University of California, San Diego, San Diego, CA, USA
| | - C Benjamin Naman
- Center for Marine Biotechnology and Biomedicine, Scripps Institution of Oceanography and Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, San Diego, CA, USA; Li Dak Sum Yip Yio Chin Kenneth Li Marine Biopharmaceutical Research Center, Department of Marine Pharmacy, College of Food and Pharmaceutical Sciences, Ningbo University, Ningbo, Zhejiang, China
| | - Tiago Leão
- Center for Marine Biotechnology and Biomedicine, Scripps Institution of Oceanography and Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, San Diego, CA, USA
| | - Evgenia Glukhov
- Center for Marine Biotechnology and Biomedicine, Scripps Institution of Oceanography and Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, San Diego, CA, USA
| | - Tal Luzzatto-Knaan
- Collaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, San Diego, CA, USA
| | - Fernando Vargas
- Collaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, San Diego, CA, USA
| | - Robby Quinn
- Collaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, San Diego, CA, USA
| | - Amina Bouslimani
- Collaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, San Diego, CA, USA
| | - Louis Felix Nothias
- Collaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, San Diego, CA, USA
| | - Nitin K Singh
- Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA
| | - Jon G Sanders
- Department of Pediatrics, University of California, San Diego School of Medicine, San Diego, CA, USA
| | - Rodolfo A S Benitez
- Department of Pediatrics, University of California, San Diego School of Medicine, San Diego, CA, USA
| | - Luke R Thompson
- Department of Biological Sciences and Northern Gulf Institute, University of Southern Mississippi, Hattiesburg, MS, USA; Ocean Chemistry and Ecosystems Division, Atlantic Oceanographic and Meteorological Laboratory, National Oceanic and Atmospheric Administration, stationed at Southwest Fisheries Science Center, La Jolla, CA, USA
| | - Md-Nafiz Hamid
- Department of Veterinary Microbiology and Preventive Medicine, Iowa State University, Ames, IA, USA; Interdepartmental program in Bioinformatics and Computational Biology, Iowa State University, Ames, IA, USA
| | - James T Morton
- Department of Pediatrics, University of California, San Diego School of Medicine, San Diego, CA, USA; Department of Computer Science and Engineering, University of California, San Diego, San Diego, CA, USA
| | - Alla Mikheenko
- Center for Algorithmic Biotechnology, Institute of Translational Biomedicine, St. Petersburg State University, St. Petersburg, Russia
| | - Alexander Shlemov
- Center for Algorithmic Biotechnology, Institute of Translational Biomedicine, St. Petersburg State University, St. Petersburg, Russia
| | - Anton Korobeynikov
- Center for Algorithmic Biotechnology, Institute of Translational Biomedicine, St. Petersburg State University, St. Petersburg, Russia; Department of Mathematics and Mechanics, St. Petersburg State University, St. Petersburg, Russia
| | - Iddo Friedberg
- Department of Veterinary Microbiology and Preventive Medicine, Iowa State University, Ames, IA, USA; Interdepartmental program in Bioinformatics and Computational Biology, Iowa State University, Ames, IA, USA
| | - Rob Knight
- Department of Pediatrics, University of California, San Diego School of Medicine, San Diego, CA, USA; Department of Computer Science and Engineering, University of California, San Diego, San Diego, CA, USA; Center for Microbiome Innovation, Jacobs School of Engineering, University of California San Diego, San Diego, CA, USA; Department of Bioengineering, University of California, San Diego, San Diego, CA, USA
| | | | - William H Gerwick
- Center for Marine Biotechnology and Biomedicine, Scripps Institution of Oceanography and Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, San Diego, CA, USA
| | - Lena Gerwick
- Center for Marine Biotechnology and Biomedicine, Scripps Institution of Oceanography and Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, San Diego, CA, USA
| | - Pieter C Dorrestein
- Collaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, San Diego, CA, USA; Center for Microbiome Innovation, Jacobs School of Engineering, University of California San Diego, San Diego, CA, USA
| | - Pavel A Pevzner
- Department of Computer Science and Engineering, University of California, San Diego, San Diego, CA, USA; Center for Microbiome Innovation, Jacobs School of Engineering, University of California San Diego, San Diego, CA, USA
| | - Hosein Mohimani
- Computational Biology Department, Carnegie Mellon University, Pittsburgh, PA, USA; Department of Computer Science and Engineering, University of California, San Diego, San Diego, CA, USA.
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9
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Dheilly NM, Martínez Martínez J, Rosario K, Brindley PJ, Fichorova RN, Kaye JZ, Kohl KD, Knoll LJ, Lukeš J, Perkins SL, Poulin R, Schriml L, Thompson LR. Parasite microbiome project: Grand challenges. PLoS Pathog 2019; 15:e1008028. [PMID: 31600339 PMCID: PMC6786532 DOI: 10.1371/journal.ppat.1008028] [Citation(s) in RCA: 36] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022] Open
Affiliation(s)
- Nolwenn M. Dheilly
- School of Marine and Atmospheric Sciences, Stony Brook University, Stony Brook, New York, United States of America
- * E-mail: (NMD); (JMM)
| | - Joaquín Martínez Martínez
- Bigelow Laboratory for Ocean Sciences, East Boothbay, Maine, United States of America
- * E-mail: (NMD); (JMM)
| | - Karyna Rosario
- College of Marine Science, University of South Florida, Saint Petersburg, Florida, United States of America
| | - Paul J. Brindley
- Department of Microbiology, Immunology and Tropical Medicine, George Washington University, Washington, DC, United States of America
- Research Center for Neglected Diseases of Poverty, School of Medicine & Health Sciences, George Washington University, Washington, DC, United States of America
| | - Raina N. Fichorova
- Genital Tract Biology Division, Department of Obstetrics, Gynecology and Reproductive Biology, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts, United States of America
| | - Jonathan Z. Kaye
- Gordon and Betty Moore Foundation, Palo Alto, California, United States of America
| | - Kevin D. Kohl
- Department of Biological Sciences, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America
| | - Laura J. Knoll
- Department of Medical Microbiology and Immunology, University of Wisconsin-Madison, Madison, Wisconsin, United States of America
| | - Julius Lukeš
- Institute of Parasitology, Biology Centre, Czech Academy of Sciences and Faculty of Sciences, University of South Bohemia, České Budějovice (Budweis), Czech Republic
| | - Susan L. Perkins
- Sackler Institute for Comparative Genomics, American Museum of Natural History, New York, New York, United States of America
| | - Robert Poulin
- Department of Zoology, University of Otago, Dunedin, New Zealand
| | - Lynn Schriml
- Department of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, Maryland, United States of America
| | - Luke R. Thompson
- Department of Biological Sciences and Northern Gulf Institute, University of Southern Mississippi, Hattiesburg, Mississippi, United States of America
- Ocean Chemistry and Ecosystems Division, Atlantic Oceanographic and Meteorological Laboratory, National Oceanic and Atmospheric Administration, La Jolla, California, United States of America
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10
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Bolyen E, Rideout JR, Dillon MR, Bokulich NA, Abnet CC, Al-Ghalith GA, Alexander H, Alm EJ, Arumugam M, Asnicar F, Bai Y, Bisanz JE, Bittinger K, Brejnrod A, Brislawn CJ, Brown CT, Callahan BJ, Caraballo-Rodríguez AM, Chase J, Cope EK, Da Silva R, Diener C, Dorrestein PC, Douglas GM, Durall DM, Duvallet C, Edwardson CF, Ernst M, Estaki M, Fouquier J, Gauglitz JM, Gibbons SM, Gibson DL, Gonzalez A, Gorlick K, Guo J, Hillmann B, Holmes S, Holste H, Huttenhower C, Huttley GA, Janssen S, Jarmusch AK, Jiang L, Kaehler BD, Kang KB, Keefe CR, Keim P, Kelley ST, Knights D, Koester I, Kosciolek T, Kreps J, Langille MGI, Lee J, Ley R, Liu YX, Loftfield E, Lozupone C, Maher M, Marotz C, Martin BD, McDonald D, McIver LJ, Melnik AV, Metcalf JL, Morgan SC, Morton JT, Naimey AT, Navas-Molina JA, Nothias LF, Orchanian SB, Pearson T, Peoples SL, Petras D, Preuss ML, Pruesse E, Rasmussen LB, Rivers A, Robeson MS, Rosenthal P, Segata N, Shaffer M, Shiffer A, Sinha R, Song SJ, Spear JR, Swafford AD, Thompson LR, Torres PJ, Trinh P, Tripathi A, Turnbaugh PJ, Ul-Hasan S, van der Hooft JJJ, Vargas F, Vázquez-Baeza Y, Vogtmann E, von Hippel M, Walters W, Wan Y, Wang M, Warren J, Weber KC, Williamson CHD, Willis AD, Xu ZZ, Zaneveld JR, Zhang Y, Zhu Q, Knight R, Caporaso JG. Author Correction: Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2. Nat Biotechnol 2019; 37:1091. [PMID: 31399723 DOI: 10.1038/s41587-019-0252-6] [Citation(s) in RCA: 281] [Impact Index Per Article: 56.2] [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
An amendment to this paper has been published and can be accessed via a link at the top of the paper.
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Affiliation(s)
- Evan Bolyen
- Center for Applied Microbiome Science, Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ, USA
| | - Jai Ram Rideout
- Center for Applied Microbiome Science, Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ, USA
| | - Matthew R Dillon
- Center for Applied Microbiome Science, Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ, USA
| | - Nicholas A Bokulich
- Center for Applied Microbiome Science, Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ, USA
| | - Christian C Abnet
- Metabolic Epidemiology Branch, National Cancer Institute, Rockville, MD, USA
| | - Gabriel A Al-Ghalith
- Department of Computer Science and Engineering, University of Minnesota, Minneapolis, MN, USA
| | - Harriet Alexander
- Biology Department, Woods Hole Oceanographic Institution, Woods Hole, MA, USA.,Department of Population Health and Reproduction, University of California, Davis, Davis, CA, USA
| | - Eric J Alm
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.,Center for Microbiome Informatics and Therapeutics, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Manimozhiyan Arumugam
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | | | - Yang Bai
- State Key Laboratory of Plant Genomics, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China.,Centre of Excellence for Plant and Microbial Sciences (CEPAMS), Institute of Genetics and Developmental Biology, Chinese Academy of Sciences & John Innes Centre, Beijing, China.,University of Chinese Academy of Sciences, Beijing, China
| | - Jordan E Bisanz
- Department of Microbiology and Immunology, University of California, San Francisco, San Francisco, CA, USA
| | - Kyle Bittinger
- Division of Gastroenterology and Nutrition, Children's Hospital of Philadelphia, Philadelphia, PA, USA.,Hepatology, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Asker Brejnrod
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Colin J Brislawn
- Earth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, WA, USA
| | - C Titus Brown
- Department of Population Health and Reproduction, University of California, Davis, Davis, CA, USA
| | - Benjamin J Callahan
- Department of Population Health & Pathobiology, North Carolina State University, Raleigh, NC, USA.,Bioinformatics Research Center, North Carolina State University, Raleigh, NC, USA
| | - Andrés Mauricio Caraballo-Rodríguez
- Collaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, San Diego, CA, USA
| | - John Chase
- Center for Applied Microbiome Science, Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ, USA
| | - Emily K Cope
- Center for Applied Microbiome Science, Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ, USA.,Department of Biological Sciences, Northern Arizona University, Flagstaff, AZ, USA
| | - Ricardo Da Silva
- Collaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, San Diego, CA, USA
| | | | - Pieter C Dorrestein
- Collaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, San Diego, CA, USA
| | - Gavin M Douglas
- Department of Microbiology and Immunology, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Daniel M Durall
- Irving K. Barber School of Arts and Sciences, University of British Columbia, Kelowna, British Columbia, Canada
| | - Claire Duvallet
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Christian F Edwardson
- A. Watson Armour III Center for Animal Health and Welfare, Aquarium Microbiome Project, John G. Shedd Aquarium, Chicago, IL, USA
| | - Madeleine Ernst
- Collaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, San Diego, CA, USA.,Department of Congenital Disorders, Statens Serum Institut, Copenhagen, Denmark
| | - Mehrbod Estaki
- Department of Biology, University of British Columbia Okanagan, Okanagan, British Columbia, Canada
| | - Jennifer Fouquier
- Computational Bioscience Program, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.,Department of Medicine, Division of Biomedical Informatics and Personalized Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Julia M Gauglitz
- Collaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, San Diego, CA, USA
| | - Sean M Gibbons
- Institute for Systems Biology, Seattle, WA, USA.,eScience Institute, University of Washington, Seattle, WA, USA
| | - Deanna L Gibson
- Irving K. Barber School of Arts and Sciences, Department of Biology, University of British Columbia, Kelowna, British Columbia, Canada.,Department of Medicine, University of British Columbia, Kelowna, British Columbia, Canada
| | - Antonio Gonzalez
- Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Kestrel Gorlick
- Center for Applied Microbiome Science, Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ, USA
| | - Jiarong Guo
- Center for Microbial Ecology, Michigan State University, East Lansing, MI, USA
| | - Benjamin Hillmann
- Department of Computer Science and Engineering, University of Minnesota, Minneapolis, MN, USA
| | - Susan Holmes
- Statistics Department, Stanford University, Palo Alto, CA, USA
| | - Hannes Holste
- Department of Pediatrics, University of California San Diego, La Jolla, CA, USA.,Department of Computer Science and Engineering, University of California San Diego, La Jolla, CA, USA
| | - Curtis Huttenhower
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA.,Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Gavin A Huttley
- Research School of Biology, The Australian National University, Canberra, Australian Capital Territory, Australia
| | - Stefan Janssen
- Department of Pediatric Oncology, Hematology and Clinical Immunology, Heinrich-Heine University Dusseldorf, Dusseldorf, Germany
| | - Alan K Jarmusch
- Collaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, San Diego, CA, USA
| | - Lingjing Jiang
- Department of Family Medicine and Public Health, University of California San Diego, La Jolla, CA, USA
| | - Benjamin D Kaehler
- Research School of Biology, The Australian National University, Canberra, Australian Capital Territory, Australia.,School of Science, University of New South Wales, Canberra, Australian Capital Territory, Australia
| | - Kyo Bin Kang
- Collaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, San Diego, CA, USA.,College of Pharmacy, Sookmyung Women's University, Seoul, Republic of Korea
| | - Christopher R Keefe
- Center for Applied Microbiome Science, Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ, USA
| | - Paul Keim
- Center for Applied Microbiome Science, Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ, USA
| | - Scott T Kelley
- Department of Biology, San Diego State University, San Diego, CA, USA
| | - Dan Knights
- Department of Computer Science and Engineering, University of Minnesota, Minneapolis, MN, USA.,Biotechnology Institute, University of Minnesota, Saint Paul, MN, USA
| | - Irina Koester
- Collaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, San Diego, CA, USA.,Scripps Institution of Oceanography, University of California San Diego, La Jolla, CA, USA
| | - Tomasz Kosciolek
- Department of Pediatrics, University of California San Diego, La Jolla, California, USA
| | - Jorden Kreps
- Center for Applied Microbiome Science, Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ, USA
| | - Morgan G I Langille
- Department of Pharmacology, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Joslynn Lee
- Science Education, Howard Hughes Medical Institute, Ashburn, VA, USA
| | - Ruth Ley
- Department of Microbiome Science, Max Planck Institute for Developmental Biology, Tübingen, Germany.,Department of Molecular Biology and Genetics, Cornell University, Ithaca, NY, USA
| | - Yong-Xin Liu
- State Key Laboratory of Plant Genomics, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China.,Centre of Excellence for Plant and Microbial Sciences (CEPAMS), Institute of Genetics and Developmental Biology, Chinese Academy of Sciences & John Innes Centre, Beijing, China
| | - Erikka Loftfield
- Metabolic Epidemiology Branch, National Cancer Institute, Rockville, MD, USA
| | - Catherine Lozupone
- Department of Medicine, Division of Biomedical Informatics and Personalized Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Massoud Maher
- Department of Computer Science & Engineering, University of California San Diego, La Jolla, CA, USA
| | - Clarisse Marotz
- Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Bryan D Martin
- Department of Statistics, University of Washington, Seattle, WA, USA
| | - Daniel McDonald
- Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Lauren J McIver
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA.,Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Alexey V Melnik
- Collaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, San Diego, CA, USA
| | - Jessica L Metcalf
- Department of Animal Science, Colorado State University, Fort Collins, CO, USA
| | - Sydney C Morgan
- Irving K. Barber School of Arts and Sciences, Unit 2 (Biology), University of British Columbia, Kelowna, British Columbia, Canada
| | - Jamie T Morton
- Department of Pediatrics, University of California San Diego, La Jolla, CA, USA.,Department of Computer Science & Engineering, University of California San Diego, La Jolla, CA, USA
| | - Ahmad Turan Naimey
- Center for Applied Microbiome Science, Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ, USA
| | - Jose A Navas-Molina
- Department of Pediatrics, University of California San Diego, La Jolla, CA, USA.,Department of Computer Science & Engineering, University of California San Diego, La Jolla, CA, USA.,Google LLC, Mountain View, CA, USA
| | - Louis Felix Nothias
- Collaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, San Diego, CA, USA
| | - Stephanie B Orchanian
- Center for Microbiome Innovation, University of California San Diego, La Jolla, CA, USA
| | - Talima Pearson
- Center for Applied Microbiome Science, Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ, USA
| | - Samuel L Peoples
- School of Information Studies, Syracuse University, Syracuse, NY, USA.,School of STEM, University of Washington Bothell, Bothell, WA, USA
| | - Daniel Petras
- Collaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, San Diego, CA, USA
| | - Mary Lai Preuss
- Department of Biological Sciences, Webster University, St. Louis, MO, USA
| | - Elmar Pruesse
- Department of Medicine, Division of Biomedical Informatics and Personalized Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Lasse Buur Rasmussen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Adam Rivers
- Agricultural Research Service, Genomics and Bioinformatics Research Unit, United States Department of Agriculture, Gainesville, FL, USA
| | - Michael S Robeson
- College of Medicine, Department of Biomedical Informatics, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Patrick Rosenthal
- Department of Biological Sciences, Webster University, St. Louis, MO, USA
| | - Nicola Segata
- Centre for Integrative Biology, University of Trento, Trento, Italy
| | - Michael Shaffer
- Computational Bioscience Program, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.,Department of Medicine, Division of Biomedical Informatics and Personalized Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Arron Shiffer
- Center for Applied Microbiome Science, Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ, USA
| | - Rashmi Sinha
- Metabolic Epidemiology Branch, National Cancer Institute, Rockville, MD, USA
| | - Se Jin Song
- Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - John R Spear
- Department of Civil and Environmental Engineering, Colorado School of Mines, Golden, CO, USA
| | - Austin D Swafford
- Center for Microbiome Innovation, University of California San Diego, La Jolla, CA, USA
| | - Luke R Thompson
- Department of Biological Sciences and Northern Gulf Institute, University of Southern Mississippi, Hattiesburg, MS, USA.,Ocean Chemistry and Ecosystems Division, Atlantic Oceanographic and Meteorological Laboratory, National Oceanic and Atmospheric Administration, La Jolla, CA, USA
| | - Pedro J Torres
- Department of Biology, San Diego State University, San Diego, CA, USA
| | - Pauline Trinh
- Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, WA, USA
| | - Anupriya Tripathi
- Collaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, San Diego, CA, USA.,Department of Pediatrics, University of California San Diego, La Jolla, CA, USA.,Division of Biological Sciences, University of California San Diego, San Diego, CA, USA
| | - Peter J Turnbaugh
- Department of Microbiology and Immunology, University of California San Francisco, San Francisco, CA, USA
| | - Sabah Ul-Hasan
- Quantitative and Systems Biology Graduate Program, University of California Merced, Merced, CA, USA
| | | | - Fernando Vargas
- Division of Biological Sciences, University of California San Diego, San Diego, CA, USA
| | | | - Emily Vogtmann
- Metabolic Epidemiology Branch, National Cancer Institute, Rockville, MD, USA
| | - Max von Hippel
- Department of Mathematics, University of Arizona, Tucson, AZ, USA
| | - William Walters
- Department of Microbiome Science, Max Planck Institute for Developmental Biology, Tübingen, Germany
| | - Yunhu Wan
- Metabolic Epidemiology Branch, National Cancer Institute, Rockville, MD, USA
| | - Mingxun Wang
- Collaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, San Diego, CA, USA
| | - Jonathan Warren
- National Laboratory Service, Environment Agency, Starcross, UK
| | - Kyle C Weber
- Agricultural Research Service, Genomics and Bioinformatics Research Unit, United States Department of Agriculture, Gainesville, FL, USA.,College of Agriculture and Life Sciences, University of Florida, Gainesville, FL, USA
| | | | - Amy D Willis
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Zhenjiang Zech Xu
- Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Jesse R Zaneveld
- School of STEM, Division of Biological Sciences, University of Washington Bothell, Bothell, WA, USA
| | | | - Qiyun Zhu
- Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Rob Knight
- Department of Pediatrics, University of California San Diego, La Jolla, CA, USA.,Center for Microbiome Innovation, University of California San Diego, La Jolla, CA, USA.,Department of Computer Science and Engineering, University of California San Diego, La Jolla, CA, USA
| | - J Gregory Caporaso
- Center for Applied Microbiome Science, Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ, USA. .,Department of Biological Sciences, Northern Arizona University, Flagstaff, AZ, USA.
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11
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Kharbush JJ, Thompson LR, Haroon MF, Knight R, Aluwihare LI. Hopanoid-producing bacteria in the Red Sea include the major marine nitrite oxidizers. FEMS Microbiol Ecol 2019; 94:4969676. [PMID: 29668882 DOI: 10.1093/femsec/fiy063] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2018] [Accepted: 04/10/2018] [Indexed: 01/26/2023] Open
Abstract
Hopanoids, including the extended side chain-containing bacteriohopanepolyols, are bacterial lipids found abundantly in the geological record and across Earth's surface environments. However, the physiological roles of this biomarker remain uncertain, limiting interpretation of their presence in current and past environments. Recent work investigating the diversity and distribution of hopanoid producers in the marine environment implicated low-oxygen regions as important loci of hopanoid production, and data from marine oxygen minimum zones suggested that the dominant hopanoid producers in these environments are nitrite-utilizing organisms, revealing a potential connection between hopanoid production and the marine nitrogen cycle. Here, we use metagenomic data from the Red Sea to investigate the ecology of hopanoid producers in an environmental setting that is biogeochemically distinct from those investigated previously. The distributions of hopanoid production and nitrite oxidation genes in the Red Sea are closely correlated, and the majority of hopanoid producers are taxonomically affiliated with the major marine nitrite oxidizers, Nitrospinae and Nitrospirae. These results suggest that the relationship between hopanoid production and nitrite oxidation is conserved across varying biogeochemical conditions in dark ocean microbial ecosystems.
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Affiliation(s)
- Jenan J Kharbush
- Department of Earth and Plantary Sciences, Harvard University, Cambridge, MA, USA.,Scripps Institution of Oceanography, University of California San Diego, La Jolla, CA, USA
| | - Luke R Thompson
- Department of Pediatrics, University of California San Diego, La Jolla, CA, USA.,Atlantic Oceanographic and Meteorological Laboratory, Ocean Chemistry and Ecosystems Division, National Oceanic and Atmospheric Administration, La Jolla, CA, USA
| | - Mohamed Fauzi Haroon
- Biological and Environmental Sciences and Engineering Division, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia.,Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA, USA
| | - Rob Knight
- Department of Pediatrics, University of California San Diego, La Jolla, CA, USA.,Department of Computer Science and Engineering, University of California San Diego, La Jolla, CA, USA.,Center for Microbiome Innovation, University of California San Diego, La Jolla, CA, USA
| | - Lihini I Aluwihare
- Scripps Institution of Oceanography, University of California San Diego, La Jolla, CA, USA
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12
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Martino C, Morton JT, Marotz CA, Thompson LR, Tripathi A, Knight R, Zengler K. A Novel Sparse Compositional Technique Reveals Microbial Perturbations. mSystems 2019; 4:e00016-19. [PMID: 30801021 PMCID: PMC6372836 DOI: 10.1128/msystems.00016-19] [Citation(s) in RCA: 211] [Impact Index Per Article: 42.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2019] [Accepted: 01/11/2019] [Indexed: 12/17/2022] Open
Abstract
The central aims of many host or environmental microbiome studies are to elucidate factors associated with microbial community compositions and to relate microbial features to outcomes. However, these aims are often complicated by difficulties stemming from high-dimensionality, non-normality, sparsity, and the compositional nature of microbiome data sets. A key tool in microbiome analysis is beta diversity, defined by the distances between microbial samples. Many different distance metrics have been proposed, all with varying discriminatory power on data with differing characteristics. Here, we propose a compositional beta diversity metric rooted in a centered log-ratio transformation and matrix completion called robust Aitchison PCA. We demonstrate the benefits of compositional transformations upstream of beta diversity calculations through simulations. Additionally, we demonstrate improved effect size, classification accuracy, and robustness to sequencing depth over the current methods on several decreased sample subsets of real microbiome data sets. Finally, we highlight the ability of this new beta diversity metric to retain the feature loadings linked to sample ordinations revealing salient intercommunity niche feature importance. IMPORTANCE By accounting for the sparse compositional nature of microbiome data sets, robust Aitchison PCA can yield high discriminatory power and salient feature ranking between microbial niches. The software to perform this analysis is available under an open-source license and can be obtained at https://github.com/biocore/DEICODE; additionally, a QIIME 2 plugin is provided to perform this analysis at https://library.qiime2.org/plugins/deicode/.
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Affiliation(s)
- Cameron Martino
- Department of Pediatrics, University of California San Diego, La Jolla, California, USA
- Bioinformatics and Systems Biology Program, University of California San Diego, La Jolla, California, USA
| | - James T. Morton
- Department of Pediatrics, University of California San Diego, La Jolla, California, USA
- Department of Computer Science and Engineering, University of California San Diego, La Jolla, California, USA
| | - Clarisse A. Marotz
- Department of Pediatrics, University of California San Diego, La Jolla, California, USA
| | - Luke R. Thompson
- Department of Biological Sciences and Northern Gulf Institute, University of Southern Mississippi, Hattiesburg, Mississippi, USA
- Ocean Chemistry and Ecosystems Division, Atlantic Oceanographic and Meteorological Laboratory, National Oceanic and Atmospheric Administration, stationed at Southwest Fisheries Science Center, La Jolla, California, USA
| | - Anupriya Tripathi
- Department of Pediatrics, University of California San Diego, La Jolla, California, USA
| | - Rob Knight
- Department of Pediatrics, University of California San Diego, La Jolla, California, USA
- Department of Computer Science and Engineering, University of California San Diego, La Jolla, California, USA
- Center for Microbiome Innovation, University of California San Diego, La Jolla, California, USA
| | - Karsten Zengler
- Department of Pediatrics, University of California San Diego, La Jolla, California, USA
- Center for Microbiome Innovation, University of California San Diego, La Jolla, California, USA
- Department of Bioengineering, University of California San Diego, La Jolla, California, USA
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13
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Franzosa EA, McIver LJ, Rahnavard G, Thompson LR, Schirmer M, Weingart G, Lipson KS, Knight R, Caporaso JG, Segata N, Huttenhower C. Species-level functional profiling of metagenomes and metatranscriptomes. Nat Methods 2018. [PMID: 30377376 DOI: 10.1038/s41592-018-0176] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/27/2023]
Abstract
Functional profiles of microbial communities are typically generated using comprehensive metagenomic or metatranscriptomic sequence read searches, which are time-consuming, prone to spurious mapping, and often limited to community-level quantification. We developed HUMAnN2, a tiered search strategy that enables fast, accurate, and species-resolved functional profiling of host-associated and environmental communities. HUMAnN2 identifies a community's known species, aligns reads to their pangenomes, performs translated search on unclassified reads, and finally quantifies gene families and pathways. Relative to pure translated search, HUMAnN2 is faster and produces more accurate gene family profiles. We applied HUMAnN2 to study clinal variation in marine metabolism, ecological contribution patterns among human microbiome pathways, variation in species' genomic versus transcriptional contributions, and strain profiling. Further, we introduce 'contributional diversity' to explain patterns of ecological assembly across different microbial community types.
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Affiliation(s)
- Eric A Franzosa
- Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, MA, USA
- The Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Lauren J McIver
- Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, MA, USA
- The Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Gholamali Rahnavard
- Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, MA, USA
- The Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Luke R Thompson
- Department of Pediatrics, University of California San Diego, San Diego, CA, USA
| | - Melanie Schirmer
- Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, MA, USA
- The Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - George Weingart
- Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | | | - Rob Knight
- Department of Pediatrics, University of California San Diego, San Diego, CA, USA
- Department of Computer Science & Engineering, University of California San Diego, San Diego, CA, USA
| | - J Gregory Caporaso
- Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ, USA
| | - Nicola Segata
- Centre for Integrative Biology, University of Trento, Trento, Italy
| | - Curtis Huttenhower
- Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, MA, USA.
- The Broad Institute of MIT and Harvard, Cambridge, MA, USA.
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14
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Shibl AA, Ngugi DK, Talarmin A, Thompson LR, Blom J, Stingl U. The genome of a novel isolate of Prochlorococcus from the Red Sea contains transcribed genes for compatible solute biosynthesis. FEMS Microbiol Ecol 2018; 94:5090968. [PMID: 30188995 DOI: 10.1093/femsec/fiy182] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2018] [Accepted: 09/04/2018] [Indexed: 11/14/2022] Open
Abstract
Marine microbes possess genomic and physiological adaptations to cope with varying environmental conditions. So far, the effects of high salinity on the most abundant marine photoautotrophic organism, Prochlorococcus, in marine oligotrophic environments, are mostly unknown. Here, we report the isolation of a new Prochlorococcus strain (RSP50) belonging to high-light (HL) clade II from the Red Sea, one of the warmest and most saline bodies of water in the global oceans. A comparative genomic analysis identified a set of 59 genes that were exclusive to RSP50 relative to currently available Prochlorococcus genomes, the majority of which (70%) encode for hypothetical proteins of unknown function. However, three of the unique genes encode for a complete pathway for the biosynthesis of the compatible solute glucosylglycerol, and are homologous to enzymes found in the sister lineage Synechococcus. Metatranscriptomic analyses of this metabolic pathway in the water column of the Red Sea revealed that the corresponding genes were constitutively transcribed, independent of depth and light, suggesting that osmoregulation using glucosylglycerol is a general feature of HL II Prochlorococcus in the Red Sea.
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Affiliation(s)
- Ahmed A Shibl
- Marine Microbial Ecology Lab, Red Sea Research Center, King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Kingdom of Saudi Arabia.,Biology Department, New York University Abu Dhabi, P.O. Box 129188, Abu Dhabi, UAE
| | - David K Ngugi
- Marine Microbial Ecology Lab, Red Sea Research Center, King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Kingdom of Saudi Arabia.,Department of Microorganisms, Leibniz Insitute DSMZ, Inhoffenstrasse 7B, 38124 Braunschweig, Germany
| | - Agathe Talarmin
- Marine Microbial Ecology Lab, Red Sea Research Center, King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Kingdom of Saudi Arabia.,Petroleum Geosciences Department, Petroleum Institute, P.O. Box 2533 Abu Dhabi, UAE
| | - Luke R Thompson
- Marine Microbial Ecology Lab, Red Sea Research Center, King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Kingdom of Saudi Arabia.,Department of Biological Sciences and Northern Gulf Institute, University of Southern Mississippi, Hattiesburg, Mississippi, USA.,Ocean Chemistry and Ecosystems Division, Atlantic Oceanographic and Meteorological Laboratory, National Oceanic and Atmospheric Administration, stationed at Southwest Fisheries Science Center, La Jolla, California, USA
| | - Jochen Blom
- Bioinformatics and Systems Biology, Justus Liebig University, D-35392 Giessen, Germany
| | - Ulrich Stingl
- Marine Microbial Ecology Lab, Red Sea Research Center, King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Kingdom of Saudi Arabia.,University of Florida, UF/IFAS, Department for Microbiology & Cell Science, Fort Lauderdale Research and Education Center, Davie, FL 33314, USA
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15
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Franzosa EA, McIver LJ, Rahnavard G, Thompson LR, Schirmer M, Weingart G, Lipson KS, Knight R, Caporaso JG, Segata N, Huttenhower C. Species-level functional profiling of metagenomes and metatranscriptomes. Nat Methods 2018; 15:962-968. [PMID: 30377376 PMCID: PMC6235447 DOI: 10.1038/s41592-018-0176-y] [Citation(s) in RCA: 856] [Impact Index Per Article: 142.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2017] [Accepted: 07/17/2018] [Indexed: 01/06/2023]
Abstract
Functional profiles of microbial communities are typically generated using comprehensive metagenomic or metatranscriptomic sequence read searches, which are time-consuming, prone to spurious mapping, and often limited to community-level quantification. We developed HUMAnN2, a tiered search strategy that enables fast, accurate, and species-resolved functional profiling of host-associated and environmental communities. HUMAnN2 identifies a community's known species, aligns reads to their pangenomes, performs translated search on unclassified reads, and finally quantifies gene families and pathways. Relative to pure translated search, HUMAnN2 is faster and produces more accurate gene family profiles. We applied HUMAnN2 to study clinal variation in marine metabolism, ecological contribution patterns among human microbiome pathways, variation in species' genomic versus transcriptional contributions, and strain profiling. Further, we introduce 'contributional diversity' to explain patterns of ecological assembly across different microbial community types.
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Affiliation(s)
- Eric A Franzosa
- Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, MA, USA.,The Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Lauren J McIver
- Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, MA, USA.,The Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Gholamali Rahnavard
- Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, MA, USA.,The Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Luke R Thompson
- Department of Pediatrics, University of California San Diego, San Diego, CA, USA
| | - Melanie Schirmer
- Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, MA, USA.,The Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - George Weingart
- Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | | | - Rob Knight
- Department of Pediatrics, University of California San Diego, San Diego, CA, USA.,Department of Computer Science & Engineering, University of California San Diego, San Diego, CA, USA
| | - J Gregory Caporaso
- Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ, USA
| | - Nicola Segata
- Centre for Integrative Biology, University of Trento, Trento, Italy
| | - Curtis Huttenhower
- Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, MA, USA. .,The Broad Institute of MIT and Harvard, Cambridge, MA, USA.
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16
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Lavrinienko A, Mappes T, Tukalenko E, Mousseau TA, Møller AP, Knight R, Morton JT, Thompson LR, Watts PC. Environmental radiation alters the gut microbiome of the bank vole Myodes glareolus. ISME J 2018; 12:2801-2806. [PMID: 29988064 PMCID: PMC6193954 DOI: 10.1038/s41396-018-0214-x] [Citation(s) in RCA: 34] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/16/2018] [Revised: 05/16/2018] [Accepted: 06/11/2018] [Indexed: 02/07/2023]
Abstract
Gut microbiota composition depends on many factors, although the impact of environmental pollution is largely unknown. We used amplicon sequencing of bacterial 16S rRNA genes to quantify whether anthropogenic radionuclides at Chernobyl (Ukraine) impact the gut microbiome of the bank vole Myodes glareolus. Exposure to elevated levels of environmental radionuclides had no detectable effect on the gut community richness but was associated with an almost two-fold increase in the Firmicutes:Bacteroidetes ratio. Animals inhabiting uncontaminated areas had remarkably similar gut communities irrespective of their proximity to the nuclear power plant. Hence, samples could be classified to high-radiation or low-radiation sites based solely on microbial community with >90% accuracy. Radiation-associated bacteria had distinct inferred functional profiles, including pathways involved in degradation, assimilation and transport of carbohydrates, xenobiotics biodegradation, and DNA repair. Our results suggest that exposure to environmental radionuclides significantly alters vertebrate gut microbiota.
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Affiliation(s)
- Anton Lavrinienko
- Department of Ecology and Genetics, University of Oulu, 90014, Oulu, Finland.
| | - Tapio Mappes
- Department of Biological and Environmental Science, University of Jyväskylä, 40014, Jyväskylä, Finland
| | - Eugene Tukalenko
- Department of Biological and Environmental Science, University of Jyväskylä, 40014, Jyväskylä, Finland.,Institute of Biology and Medicine, Taras Shevchenko National University of Kyiv, Kyiv, 03022, Ukraine
| | - Timothy A Mousseau
- Department of Biological Sciences, University of South Carolina, Columbia, SC, 29208, USA
| | - Anders P Møller
- Ecologie Systématique Evolution, Université Paris-Sud, CNRS, AgroParisTech, Université Paris-Saclay, 91405, Orsay Cedex, France
| | - Rob Knight
- Department of Pediatrics, University of California San Diego, La Jolla, CA, 92037, USA.,Department of Computer Science and Engineering, University of California San Diego, La Jolla, CA, 92037, USA.,Center for Microbiome Innovation, University of California San Diego, La Jolla, CA, 92037, USA
| | - James T Morton
- Department of Pediatrics, University of California San Diego, La Jolla, CA, 92037, USA.,Department of Computer Science and Engineering, University of California San Diego, La Jolla, CA, 92037, USA
| | - Luke R Thompson
- Department of Biological Sciences and Northern Gulf Institute, University of Southern Mississippi, Hattiesburg, MS, USA.,Atlantic Oceanographic and Meteorological Laboratory, National Oceanic and Atmospheric Administration, stationed at Southwest Fisheries Science Center, National Marine Fisheries Service, La Jolla, CA, USA
| | - Phillip C Watts
- Department of Ecology and Genetics, University of Oulu, 90014, Oulu, Finland
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17
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Michaud JM, Thompson LR, Kaul D, Espinoza JL, Richter RA, Xu ZZ, Lee C, Pham KM, Beall CM, Malfatti F, Azam F, Knight R, Burkart MD, Dupont CL, Prather KA. Taxon-specific aerosolization of bacteria and viruses in an experimental ocean-atmosphere mesocosm. Nat Commun 2018; 9:2017. [PMID: 29789621 PMCID: PMC5964107 DOI: 10.1038/s41467-018-04409-z] [Citation(s) in RCA: 58] [Impact Index Per Article: 9.7] [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: 10/09/2017] [Accepted: 04/13/2018] [Indexed: 11/11/2022] Open
Abstract
Ocean-derived, airborne microbes play important roles in Earth’s climate system and human health, yet little is known about factors controlling their transfer from the ocean to the atmosphere. Here, we study microbiomes of isolated sea spray aerosol (SSA) collected in a unique ocean–atmosphere facility and demonstrate taxon-specific aerosolization of bacteria and viruses. These trends are conserved within taxonomic orders and classes, and temporal variation in aerosolization is similarly shared by related taxa. We observe enhanced transfer into SSA of Actinobacteria, certain Gammaproteobacteria, and lipid-enveloped viruses; conversely, Flavobacteriia, some Alphaproteobacteria, and Caudovirales are generally under-represented in SSA. Viruses do not transfer to SSA as efficiently as bacteria. The enrichment of mycolic acid-coated Corynebacteriales and lipid-enveloped viruses (inferred from genomic comparisons) suggests that hydrophobic properties increase transport to the sea surface and SSA. Our results identify taxa relevant to atmospheric processes and a framework to further elucidate aerosolization mechanisms influencing microbial and viral transport pathways. Factors controlling the transfer of microbes from the ocean to the atmosphere are unclear. Here, Michaud et al. study this process in an enclosed ocean-atmosphere facility, and show that the degree of aerosolization of bacteria and viruses is taxon-specific.
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Affiliation(s)
- Jennifer M Michaud
- Department of Chemistry and Biochemistry, University of California San Diego, La Jolla, CA, 92093, USA
| | - Luke R Thompson
- Department of Pediatrics, University of California San Diego, La Jolla, CA, 92093, USA.,Department of Biological Sciences and Northern Gulf Institute, University of Southern Mississippi, Hattiesburg, MS, 39406, USA.,Ocean Chemistry and Ecosystems Division, Atlantic Oceanographic and Meteorological Laboratory, National Oceanic and Atmospheric Administration, stationed at Southwest Fisheries Science Center, La Jolla, CA, 92037, USA
| | - Drishti Kaul
- J. Craig Venter Institute, La Jolla, CA, 92037, USA
| | | | | | - Zhenjiang Zech Xu
- Department of Pediatrics, University of California San Diego, La Jolla, CA, 92093, USA
| | - Christopher Lee
- Department of Chemistry and Biochemistry, University of California San Diego, La Jolla, CA, 92093, USA
| | - Kevin M Pham
- Department of Chemistry and Biochemistry, University of California San Diego, La Jolla, CA, 92093, USA
| | | | - Francesca Malfatti
- Scripps Institution of Oceanography, La Jolla, CA, 92037, USA.,Istituto Nazionale di Oceanografia e di Geofisica Sperimentale, Trieste, Italy
| | - Farooq Azam
- Scripps Institution of Oceanography, La Jolla, CA, 92037, USA
| | - Rob Knight
- Department of Pediatrics, University of California San Diego, La Jolla, CA, 92093, USA.,Department of Computer Science and Engineering, University of California San Diego, La Jolla, CA, 92093, USA.,Center for Microbiome Innovation, University of California San Diego, La Jolla, CA, 92093, USA
| | - Michael D Burkart
- Department of Chemistry and Biochemistry, University of California San Diego, La Jolla, CA, 92093, USA.
| | | | - Kimberly A Prather
- Department of Chemistry and Biochemistry, University of California San Diego, La Jolla, CA, 92093, USA. .,Scripps Institution of Oceanography, La Jolla, CA, 92037, USA.
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18
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Thompson LR, Beck MR, Williams GD, Place SE, Reuter R. 69 Supplementing Energy in Conjunction with Monensin Improves Sustainability of Stocker Cattle Grazing Winter Wheat. J Anim Sci 2018. [DOI: 10.1093/jas/sky027.069] [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] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Affiliation(s)
| | - M R Beck
- Oklahoma State University, Stillwater, OK
| | | | - S E Place
- National Cattlemen’s Beef Association, Centennial, CO
| | - R Reuter
- Oklahoma State University, Stillwater, OK
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19
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Thompson LR, Sanders JG, McDonald D, Amir A, Ladau J, Locey KJ, Prill RJ, Tripathi A, Gibbons SM, Ackermann G, Navas-Molina JA, Janssen S, Kopylova E, Vázquez-Baeza Y, González A, Morton JT, Mirarab S, Zech Xu Z, Jiang L, Haroon MF, Kanbar J, Zhu Q, Jin Song S, Kosciolek T, Bokulich NA, Lefler J, Brislawn CJ, Humphrey G, Owens SM, Hampton-Marcell J, Berg-Lyons D, McKenzie V, Fierer N, Fuhrman JA, Clauset A, Stevens RL, Shade A, Pollard KS, Goodwin KD, Jansson JK, Gilbert JA, Knight R. A communal catalogue reveals Earth's multiscale microbial diversity. Nature 2017; 551:457-463. [PMID: 29088705 PMCID: PMC6192678 DOI: 10.1038/nature24621] [Citation(s) in RCA: 1219] [Impact Index Per Article: 174.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2017] [Accepted: 10/10/2017] [Indexed: 02/07/2023]
Abstract
Our growing awareness of the microbial world's importance and diversity contrasts starkly with our limited understanding of its fundamental structure. Despite recent advances in DNA sequencing, a lack of standardized protocols and common analytical frameworks impedes comparisons among studies, hindering the development of global inferences about microbial life on Earth. Here we present a meta-analysis of microbial community samples collected by hundreds of researchers for the Earth Microbiome Project. Coordinated protocols and new analytical methods, particularly the use of exact sequences instead of clustered operational taxonomic units, enable bacterial and archaeal ribosomal RNA gene sequences to be followed across multiple studies and allow us to explore patterns of diversity at an unprecedented scale. The result is both a reference database giving global context to DNA sequence data and a framework for incorporating data from future studies, fostering increasingly complete characterization of Earth's microbial diversity.
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Affiliation(s)
- Luke R Thompson
- Department of Pediatrics, University of California San Diego, La Jolla, California, USA.,Department of Biological Sciences and Northern Gulf Institute, University of Southern Mississippi, Hattiesburg, Mississippi, USA.,Ocean Chemistry and Ecosystems Division, Atlantic Oceanographic and Meteorological Laboratory, National Oceanic and Atmospheric Administration, stationed at Southwest Fisheries Science Center, La Jolla, California, USA
| | - Jon G Sanders
- Department of Pediatrics, University of California San Diego, La Jolla, California, USA
| | - Daniel McDonald
- Department of Pediatrics, University of California San Diego, La Jolla, California, USA
| | - Amnon Amir
- Department of Pediatrics, University of California San Diego, La Jolla, California, USA
| | - Joshua Ladau
- The Gladstone Institutes and University of California San Francisco, San Francisco, California, USA
| | - Kenneth J Locey
- Department of Biology, Indiana University, Bloomington, Indiana, USA
| | - Robert J Prill
- Industrial and Applied Genomics, IBM Almaden Research Center, San Jose, California, USA
| | - Anupriya Tripathi
- Department of Pediatrics, University of California San Diego, La Jolla, California, USA.,Division of Biological Sciences, University of California San Diego, La Jolla, California, USA.,Skaggs School of Pharmacy, University of California San Diego, La Jolla, California, USA
| | - Sean M Gibbons
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.,The Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
| | - Gail Ackermann
- Department of Pediatrics, University of California San Diego, La Jolla, California, USA
| | - Jose A Navas-Molina
- Department of Pediatrics, University of California San Diego, La Jolla, California, USA.,Department of Computer Science and Engineering, University of California San Diego, La Jolla, California, USA
| | - Stefan Janssen
- Department of Pediatrics, University of California San Diego, La Jolla, California, USA
| | - Evguenia Kopylova
- Department of Pediatrics, University of California San Diego, La Jolla, California, USA
| | - Yoshiki Vázquez-Baeza
- Department of Pediatrics, University of California San Diego, La Jolla, California, USA.,Department of Computer Science and Engineering, University of California San Diego, La Jolla, California, USA
| | - Antonio González
- Department of Pediatrics, University of California San Diego, La Jolla, California, USA
| | - James T Morton
- Department of Pediatrics, University of California San Diego, La Jolla, California, USA.,Department of Computer Science and Engineering, University of California San Diego, La Jolla, California, USA
| | - Siavash Mirarab
- Department of Electrical and Computer Engineering, University of California San Diego, La Jolla, California, USA
| | - Zhenjiang Zech Xu
- Department of Pediatrics, University of California San Diego, La Jolla, California, USA
| | - Lingjing Jiang
- Department of Pediatrics, University of California San Diego, La Jolla, California, USA.,Department of Family Medicine and Public Health, University of California San Diego, La Jolla, California, USA
| | - Mohamed F Haroon
- Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, Massachusetts, USA
| | - Jad Kanbar
- Department of Pediatrics, University of California San Diego, La Jolla, California, USA
| | - Qiyun Zhu
- Department of Pediatrics, University of California San Diego, La Jolla, California, USA
| | - Se Jin Song
- Department of Pediatrics, University of California San Diego, La Jolla, California, USA
| | - Tomasz Kosciolek
- Department of Pediatrics, University of California San Diego, La Jolla, California, USA
| | - Nicholas A Bokulich
- Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, Arizona, USA
| | - Joshua Lefler
- Department of Pediatrics, University of California San Diego, La Jolla, California, USA
| | - Colin J Brislawn
- Earth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, Washington, USA
| | - Gregory Humphrey
- Department of Pediatrics, University of California San Diego, La Jolla, California, USA
| | - Sarah M Owens
- Biosciences Division, Argonne National Laboratory, Argonne, Illinois, USA
| | - Jarrad Hampton-Marcell
- Biosciences Division, Argonne National Laboratory, Argonne, Illinois, USA.,Department of Biological Sciences, University of Illinois at Chicago, Chicago, Illinois, USA
| | - Donna Berg-Lyons
- BioFrontiers Institute, University of Colorado, Boulder, Colorado, USA
| | - Valerie McKenzie
- Department of Ecology and Evolutionary Biology, University of Colorado, Boulder, Colorado, USA
| | - Noah Fierer
- Department of Ecology and Evolutionary Biology, University of Colorado, Boulder, Colorado, USA.,Cooperative Institute for Research in Environmental Sciences, University of Colorado, Boulder, Colorado, USA
| | - Jed A Fuhrman
- Department of Biological Sciences, University of Southern California, Los Angeles, California, USA
| | - Aaron Clauset
- BioFrontiers Institute, University of Colorado, Boulder, Colorado, USA.,Department of Computer Science, University of Colorado, Boulder, Colorado, USA
| | - Rick L Stevens
- Computing, Environment and Life Sciences, Argonne National Laboratory, Argonne, Illinois, USA.,Department of Computer Science, University of Chicago, Chicago, Illinois, USA
| | - Ashley Shade
- Department of Microbiology and Molecular Genetics, Michigan State University, East Lansing, Michigan, USA.,Department of Plant, Soil and Microbial Sciences, Michigan State University, East Lansing, Michigan, USA.,Program in Ecology, Evolutionary Biology and Behavior, Michigan State University, East Lansing, Michigan, USA
| | - Katherine S Pollard
- The Gladstone Institutes and University of California San Francisco, San Francisco, California, USA
| | - Kelly D Goodwin
- Ocean Chemistry and Ecosystems Division, Atlantic Oceanographic and Meteorological Laboratory, National Oceanic and Atmospheric Administration, stationed at Southwest Fisheries Science Center, La Jolla, California, USA
| | - Janet K Jansson
- Earth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, Washington, USA
| | - Jack A Gilbert
- Biosciences Division, Argonne National Laboratory, Argonne, Illinois, USA.,Department of Surgery, University of Chicago, Chicago, Illinois, USA
| | - Rob Knight
- Department of Pediatrics, University of California San Diego, La Jolla, California, USA.,Department of Computer Science and Engineering, University of California San Diego, La Jolla, California, USA.,Center for Microbiome Innovation, University of California San Diego, La Jolla, California, USA
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20
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Thompson LR, Nikolakakis K, Pan S, Reed J, Knight R, Ruby EG. Transcriptional characterization of Vibrio fischeri during colonization of juvenile Euprymna scolopes. Environ Microbiol 2017; 19:1845-1856. [PMID: 28152560 PMCID: PMC5409853 DOI: 10.1111/1462-2920.13684] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [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: 11/30/2016] [Revised: 01/24/2017] [Accepted: 01/29/2017] [Indexed: 11/30/2022]
Abstract
The marine bacterium Vibrio fischeri is the monospecific symbiont of the Hawaiian bobtail squid, Euprymna scolopes, and the establishment of this association involves a number of signaling pathways and transcriptional responses between both partners. We report here the first full RNA-Seq dataset representing host-associated V. fischeri cells from colonized juvenile E. scolopes, as well as comparative transcriptomes under both laboratory and simulated marine planktonic conditions. These data elucidate the broad transcriptional changes that these bacteria undergo during the early stages of symbiotic colonization. We report several previously undescribed and unexpected transcriptional responses within the early stages of this symbiosis, including gene expression patterns consistent with biochemical stresses inside the host, and metabolic patterns distinct from those reported in associations with adult animals. Integration of these transcriptional data with a recently developed metabolic model of V. fischeri provides us with a clearer picture of the metabolic state of symbionts within the juvenile host, including their possible carbon sources. Taken together, these results expand our understanding of the early stages of the squid-vibrio symbiosis, and more generally inform the transcriptional responses underlying the activities of marine microbes during host colonization.
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Affiliation(s)
- Luke R Thompson
- Department of Pediatrics, University of California, San Diego, CA, USA
| | - Kiel Nikolakakis
- Department of Chemical and Biological Engineering, University of Wisconsin, Madison, WI, USA
| | - Shu Pan
- Department of Chemical and Biological Engineering, University of Wisconsin, Madison, WI, USA
| | - Jennifer Reed
- Department of Chemical and Biological Engineering, University of Wisconsin, Madison, WI, USA
| | - Rob Knight
- Department of Pediatrics, University of California, San Diego, CA, USA
| | - Edward G Ruby
- Department of Chemical and Biological Engineering, University of Wisconsin, Madison, WI, USA
- Pacific Biosciences Research Center, University of Hawaii, Manoa, HI, USA
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21
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Amir A, McDonald D, Navas-Molina JA, Kopylova E, Morton JT, Zech Xu Z, Kightley EP, Thompson LR, Hyde ER, Gonzalez A, Knight R. Deblur Rapidly Resolves Single-Nucleotide Community Sequence Patterns. mSystems 2017; 2:e00191-16. [PMID: 28289731 PMCID: PMC5340863 DOI: 10.1128/msystems.00191-00116 10.1128/msystems.00191-16] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2016] [Accepted: 12/14/2016] [Indexed: 11/23/2023] Open
Abstract
High-throughput sequencing of 16S ribosomal RNA gene amplicons has facilitated understanding of complex microbial communities, but the inherent noise in PCR and DNA sequencing limits differentiation of closely related bacteria. Although many scientific questions can be addressed with broad taxonomic profiles, clinical, food safety, and some ecological applications require higher specificity. Here we introduce a novel sub-operational-taxonomic-unit (sOTU) approach, Deblur, that uses error profiles to obtain putative error-free sequences from Illumina MiSeq and HiSeq sequencing platforms. Deblur substantially reduces computational demands relative to similar sOTU methods and does so with similar or better sensitivity and specificity. Using simulations, mock mixtures, and real data sets, we detected closely related bacterial sequences with single nucleotide differences while removing false positives and maintaining stability in detection, suggesting that Deblur is limited only by read length and diversity within the amplicon sequences. Because Deblur operates on a per-sample level, it scales to modern data sets and meta-analyses. To highlight Deblur's ability to integrate data sets, we include an interactive exploration of its application to multiple distinct sequencing rounds of the American Gut Project. Deblur is open source under the Berkeley Software Distribution (BSD) license, easily installable, and downloadable from https://github.com/biocore/deblur. IMPORTANCE Deblur provides a rapid and sensitive means to assess ecological patterns driven by differentiation of closely related taxa. This algorithm provides a solution to the problem of identifying real ecological differences between taxa whose amplicons differ by a single base pair, is applicable in an automated fashion to large-scale sequencing data sets, and can integrate sequencing runs collected over time.
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Affiliation(s)
- Amnon Amir
- Department of Pediatrics, University of California San Diego, La Jolla, California, USA
| | - Daniel McDonald
- Department of Pediatrics, University of California San Diego, La Jolla, California, USA
| | - Jose A. Navas-Molina
- Department of Pediatrics, University of California San Diego, La Jolla, California, USA
- Department of Computer Science and Engineering, University of California San Diego, La Jolla, California, USA
| | - Evguenia Kopylova
- Department of Pediatrics, University of California San Diego, La Jolla, California, USA
| | - James T. Morton
- Department of Pediatrics, University of California San Diego, La Jolla, California, USA
| | - Zhenjiang Zech Xu
- Department of Pediatrics, University of California San Diego, La Jolla, California, USA
| | - Eric P. Kightley
- Department of Applied Mathematics, and Interdisciplinary Quantitative Biology Graduate Program, University of Colorado Boulder, Boulder, Colorado, USA
| | - Luke R. Thompson
- Department of Pediatrics, University of California San Diego, La Jolla, California, USA
| | - Embriette R. Hyde
- Department of Pediatrics, University of California San Diego, La Jolla, California, USA
| | - Antonio Gonzalez
- Department of Pediatrics, University of California San Diego, La Jolla, California, USA
| | - Rob Knight
- Department of Pediatrics, University of California San Diego, La Jolla, California, USA
- Department of Computer Science and Engineering, University of California San Diego, La Jolla, California, USA
- Center for Microbiome Innovation, University of California San Diego, San Diego, California, USA
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22
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Thompson LR, Williams GJ, Haroon MF, Shibl A, Larsen P, Shorenstein J, Knight R, Stingl U. Metagenomic covariation along densely sampled environmental gradients in the Red Sea. ISME J 2017; 11:138-151. [PMID: 27420030 PMCID: PMC5315489 DOI: 10.1038/ismej.2016.99] [Citation(s) in RCA: 30] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/09/2016] [Revised: 06/08/2016] [Accepted: 06/12/2016] [Indexed: 12/13/2022]
Abstract
Oceanic microbial diversity covaries with physicochemical parameters. Temperature, for example, explains approximately half of global variation in surface taxonomic abundance. It is unknown, however, whether covariation patterns hold over narrower parameter gradients and spatial scales, and extending to mesopelagic depths. We collected and sequenced 45 epipelagic and mesopelagic microbial metagenomes on a meridional transect through the eastern Red Sea. We asked which environmental parameters explain the most variation in relative abundances of taxonomic groups, gene ortholog groups, and pathways-at a spatial scale of <2000 km, along narrow but well-defined latitudinal and depth-dependent gradients. We also asked how microbes are adapted to gradients and extremes in irradiance, temperature, salinity, and nutrients, examining the responses of individual gene ortholog groups to these parameters. Functional and taxonomic metrics were equally well explained (75-79%) by environmental parameters. However, only functional and not taxonomic covariation patterns were conserved when comparing with an intruding water mass with different physicochemical properties. Temperature explained the most variation in each metric, followed by nitrate, chlorophyll, phosphate, and salinity. That nitrate explained more variation than phosphate suggested nitrogen limitation, consistent with low surface N:P ratios. Covariation of gene ortholog groups with environmental parameters revealed patterns of functional adaptation to the challenging Red Sea environment: high irradiance, temperature, salinity, and low nutrients. Nutrient-acquisition gene ortholog groups were anti-correlated with concentrations of their respective nutrient species, recapturing trends previously observed across much larger distances and environmental gradients. This dataset of metagenomic covariation along densely sampled environmental gradients includes online data exploration supplements, serving as a community resource for marine microbial ecology.
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Affiliation(s)
- Luke R Thompson
- Red Sea Research Center, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia
- Department of Pediatrics, University of California, San Diego, CA, USA
| | - Gareth J Williams
- Center for Marine Biodiversity and Conservation, Scripps Institution of Oceanography, La Jolla, CA, USA
- School of Ocean Sciences, Bangor University, Anglesey, UK
| | - Mohamed F Haroon
- Red Sea Research Center, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia
| | - Ahmed Shibl
- Red Sea Research Center, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia
| | | | | | - Rob Knight
- Department of Pediatrics, University of California, San Diego, CA, USA
- Department of Computer Science, University of California, San Diego, CA, USA
| | - Ulrich Stingl
- Red Sea Research Center, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia
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23
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Thompson LR, Zeng Q, Chisholm SW. Gene Expression Patterns during Light and Dark Infection of Prochlorococcus by Cyanophage. PLoS One 2016; 11:e0165375. [PMID: 27788196 PMCID: PMC5082946 DOI: 10.1371/journal.pone.0165375] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2016] [Accepted: 10/11/2016] [Indexed: 01/09/2023] Open
Abstract
Cyanophage infecting the marine cyanobacteria Prochlorococcus and Synechococcus require light and host photosystem activity for optimal reproduction. Many cyanophages encode multiple photosynthetic electron transport (PET) proteins, which are presumed to maintain electron flow and produce ATP and NADPH for nucleotide biosynthesis and phage genome replication. However, evidence suggests phage augment NADPH production via the pentose phosphate pathway (PPP), thus calling into question the need for NADPH production by PET. Genes implicated in cyclic PET have since been identified in cyanophage genomes. It remains an open question which mode of PET, cyclic or linear, predominates in infected cyanobacteria, and thus whether the balance is towards producing ATP or NADPH. We sequenced transcriptomes of a cyanophage (P-HM2) and its host (Prochlorococcus MED4) throughout infection in the light or in the dark, and analyzed these data in the context of phage replication and metabolite measurements. Infection was robust in the light, but phage were not produced in the dark. Host gene transcripts encoding high-light inducible proteins and two terminal oxidases (plastoquinol terminal oxidase and cytochrome c oxidase)-implicated in protecting the photosynthetic membrane from light stress-were the most enriched in light but not dark infection. Among the most diminished transcripts in both light and dark infection was ferredoxin-NADP+ reductase (FNR), which uses the electron acceptor NADP+ to generate NADPH in linear photosynthesis. The phage gene for CP12, which putatively inhibits the Calvin cycle enzyme that receives NADPH from FNR, was highly expressed in light infection. Therefore, both PET production of NADPH and its consumption by carbon fixation are putatively repressed during phage infection in light. Transcriptomic evidence is thus consistent with cyclic photophosphorylation using oxygen as the terminal electron acceptor as the dominant mode of PET under infection, with ATP from PET and NADPH from the PPP producing the energy and reducing equivalents for phage nucleotide biosynthesis and replication.
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Affiliation(s)
- Luke R. Thompson
- Department of Biology, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America
- * E-mail: (LRT); (SWC)
| | - Qinglu Zeng
- Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America
| | - Sallie W. Chisholm
- Department of Biology, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America
- Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America
- * E-mail: (LRT); (SWC)
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24
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Metcalf JL, Xu ZZ, Weiss S, Lax S, Van Treuren W, Hyde ER, Song SJ, Amir A, Larsen P, Sangwan N, Haarmann D, Humphrey GC, Ackermann G, Thompson LR, Lauber C, Bibat A, Nicholas C, Gebert MJ, Petrosino JF, Reed SC, Gilbert JA, Lynne AM, Bucheli SR, Carter DO, Knight R. Microbial community assembly and metabolic function during mammalian corpse decomposition. Science 2015; 351:158-62. [PMID: 26657285 DOI: 10.1126/science.aad2646] [Citation(s) in RCA: 272] [Impact Index Per Article: 30.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2015] [Accepted: 11/25/2015] [Indexed: 12/22/2022]
Abstract
Vertebrate corpse decomposition provides an important stage in nutrient cycling in most terrestrial habitats, yet microbially mediated processes are poorly understood. Here we combine deep microbial community characterization, community-level metabolic reconstruction, and soil biogeochemical assessment to understand the principles governing microbial community assembly during decomposition of mouse and human corpses on different soil substrates. We find a suite of bacterial and fungal groups that contribute to nitrogen cycling and a reproducible network of decomposers that emerge on predictable time scales. Our results show that this decomposer community is derived primarily from bulk soil, but key decomposers are ubiquitous in low abundance. Soil type was not a dominant factor driving community development, and the process of decomposition is sufficiently reproducible to offer new opportunities for forensic investigations.
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Affiliation(s)
- Jessica L Metcalf
- Department of Ecology and Evolutionary Biology, University of Colorado, Boulder, CO 80309, USA. Department of Pediatrics, University of California, San Diego, San Diego, CA 92037, USA.
| | - Zhenjiang Zech Xu
- Department of Pediatrics, University of California, San Diego, San Diego, CA 92037, USA
| | - Sophie Weiss
- Department of Chemical and Biological Engineering, University of Colorado, Boulder, CO 80303, USA
| | - Simon Lax
- Department of Ecology and Evolution, University of Chicago, 1101 East 57th Street, Chicago, IL 60637, USA. Institute for Genomic and Systems Biology, University of Chicago, 900 East 57th Street, Chicago, IL 606037, USA
| | - Will Van Treuren
- Department of Microbiology and Immunology, Stanford University, Stanford, CA 94305, USA
| | - Embriette R Hyde
- Department of Pediatrics, University of California, San Diego, San Diego, CA 92037, USA
| | - Se Jin Song
- Department of Ecology and Evolutionary Biology, University of Colorado, Boulder, CO 80309, USA. Department of Pediatrics, University of California, San Diego, San Diego, CA 92037, USA
| | - Amnon Amir
- Department of Pediatrics, University of California, San Diego, San Diego, CA 92037, USA
| | - Peter Larsen
- Department of Ecology and Evolution, University of Chicago, 1101 East 57th Street, Chicago, IL 60637, USA. Biosciences Division, Argonne National Laboratory, South Cass Avenue, Argonne, IL 60439, USA
| | - Naseer Sangwan
- Department of Ecology and Evolution, University of Chicago, 1101 East 57th Street, Chicago, IL 60637, USA. Biosciences Division, Argonne National Laboratory, South Cass Avenue, Argonne, IL 60439, USA. Department of Surgery, University of Chicago, A27 South Maryland Avenue, Chicago, IL 60637, USA
| | - Daniel Haarmann
- Department of Biological Sciences, Sam Houston State University, Huntsville, TX 77340, USA
| | - Greg C Humphrey
- Department of Pediatrics, University of California, San Diego, San Diego, CA 92037, USA
| | - Gail Ackermann
- Department of Pediatrics, University of California, San Diego, San Diego, CA 92037, USA
| | - Luke R Thompson
- Department of Pediatrics, University of California, San Diego, San Diego, CA 92037, USA
| | - Christian Lauber
- Nestlé Institute of Health Sciences, École Polytechnique Fédérale Lausanne, Bâtiment H, 1015 Lausanne, Switzerland
| | - Alexander Bibat
- BioFrontiers Institute, University of Colorado, Boulder, CO 80303, USA
| | | | - Matthew J Gebert
- BioFrontiers Institute, University of Colorado, Boulder, CO 80303, USA
| | - Joseph F Petrosino
- Alkek Center for Metagenomics and Microbiome Research, Department of Molecular Virology and Microbiology, Baylor College of Medicine, Houston, TX 77030, USA
| | - Sasha C Reed
- U.S. Geological Survey, Southwest Biological Science Center, Moab, UT 84532, USA
| | - Jack A Gilbert
- Department of Ecology and Evolution, University of Chicago, 1101 East 57th Street, Chicago, IL 60637, USA. Institute for Genomic and Systems Biology, University of Chicago, 900 East 57th Street, Chicago, IL 606037, USA. Biosciences Division, Argonne National Laboratory, South Cass Avenue, Argonne, IL 60439, USA. Department of Surgery, University of Chicago, A27 South Maryland Avenue, Chicago, IL 60637, USA. Marine Biological Laboratory, 7 MBL St, Woods Hole, MA 02543, USA
| | - Aaron M Lynne
- Department of Biological Sciences, Sam Houston State University, Huntsville, TX 77340, USA
| | - Sibyl R Bucheli
- Department of Biological Sciences, Sam Houston State University, Huntsville, TX 77340, USA
| | - David O Carter
- Laboratory of Forensic Taphonomy, Forensic Sciences Unit, Division of Natural Sciences and Mathematics, Chaminade University of Honolulu, Honolulu, HI 96816, USA
| | - Rob Knight
- Department of Pediatrics, University of California, San Diego, San Diego, CA 92037, USA. Department of Computer Science and Engineering, University of California, San Diego, San Diego, CA 92037, USA.
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Berube PM, Biller SJ, Kent AG, Berta-Thompson JW, Roggensack SE, Roache-Johnson KH, Ackerman M, Moore LR, Meisel JD, Sher D, Thompson LR, Campbell L, Martiny AC, Chisholm SW. Physiology and evolution of nitrate acquisition in Prochlorococcus. ISME J 2015; 9:1195-207. [PMID: 25350156 PMCID: PMC4409163 DOI: 10.1038/ismej.2014.211] [Citation(s) in RCA: 100] [Impact Index Per Article: 11.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/10/2014] [Revised: 09/08/2014] [Accepted: 09/23/2014] [Indexed: 01/01/2023]
Abstract
Prochlorococcus is the numerically dominant phototroph in the oligotrophic subtropical ocean and carries out a significant fraction of marine primary productivity. Although field studies have provided evidence for nitrate uptake by Prochlorococcus, little is known about this trait because axenic cultures capable of growth on nitrate have not been available. Additionally, all previously sequenced genomes lacked the genes necessary for nitrate assimilation. Here we introduce three Prochlorococcus strains capable of growth on nitrate and analyze their physiology and genome architecture. We show that the growth of high-light (HL) adapted strains on nitrate is ∼17% slower than their growth on ammonium. By analyzing 41 Prochlorococcus genomes, we find that genes for nitrate assimilation have been gained multiple times during the evolution of this group, and can be found in at least three lineages. In low-light adapted strains, nitrate assimilation genes are located in the same genomic context as in marine Synechococcus. These genes are located elsewhere in HL adapted strains and may often exist as a stable genetic acquisition as suggested by the striking degree of similarity in the order, phylogeny and location of these genes in one HL adapted strain and a consensus assembly of environmental Prochlorococcus metagenome sequences. In another HL adapted strain, nitrate utilization genes may have been independently acquired as indicated by adjacent phage mobility elements; these genes are also duplicated with each copy detected in separate genomic islands. These results provide direct evidence for nitrate utilization by Prochlorococcus and illuminate the complex evolutionary history of this trait.
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Affiliation(s)
- Paul M Berube
- Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Steven J Biller
- Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Alyssa G Kent
- Department of Ecology and Evolutionary Biology, University of California, Irvine, Irvine, CA, USA
| | - Jessie W Berta-Thompson
- Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA
- Microbiology Graduate Program, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Sara E Roggensack
- Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Kathryn H Roache-Johnson
- Department of Molecular and Biomedical Sciences, University of Maine, Orono, ME, USA
- Department of Biological Sciences, University of Southern Maine, Portland, ME, USA
| | - Marcia Ackerman
- Department of Biological Sciences, University of Southern Maine, Portland, ME, USA
| | - Lisa R Moore
- Department of Biological Sciences, University of Southern Maine, Portland, ME, USA
| | - Joshua D Meisel
- Department of Biology, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Daniel Sher
- Department of Marine Biology, University of Haifa, Haifa, Israel
| | - Luke R Thompson
- Department of Chemistry and Biochemistry, University of Colorado, Boulder, CO, USA
| | - Lisa Campbell
- Department of Oceanography, Texas A&M University, College Station, TX, USA
| | - Adam C Martiny
- Department of Ecology and Evolutionary Biology, University of California, Irvine, Irvine, CA, USA
- Department of Earth System Science, University of California, Irvine, Irvine, CA, USA
| | - Sallie W Chisholm
- Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA
- Department of Biology, Massachusetts Institute of Technology, Cambridge, MA, USA
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Shibl AA, Thompson LR, Ngugi DK, Stingl U. Distribution and diversity of Prochlorococcus ecotypes in the Red Sea. FEMS Microbiol Lett 2014; 356:118-26. [PMID: 24888561 DOI: 10.1111/1574-6968.12490] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.4] [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: 02/20/2014] [Revised: 05/26/2014] [Accepted: 05/28/2014] [Indexed: 11/29/2022] Open
Abstract
Photosynthetic prokaryotes of the genus Prochlorococcus play a major role in global primary production in the world's oligotrophic oceans. A recent study on pelagic bacterioplankton communities in the northern and central Red Sea indicated that the predominant cyanobacterial 16S rRNA gene sequence types were from Prochlorococcus cells belonging to a high-light-adapted ecotype (HL II). In this study, we analyzed microdiversity of Prochlorococcus sp. at multiple depths within and below the euphotic zone in the northern, central, and southern regions of the Red Sea, as well as in surface waters in the same locations, but in a different season. Prochlorococcus dominated the communities in clone libraries of the amplified 16S-23S rRNA internal transcribed spacer (ITS) region. Almost no differences were found between samples from coastal or open-water sites, but a high diversity of Prochlorococcus ecotypes was detected at 100-meter depth in the water column. In addition, an unusual dominance of HL II-related sequences was observed in deeper waters. Our results indicate that the Red Sea harbors diverse Prochlorococcus lineages, but no novel ecotypes, despite its unusual physicochemical properties.
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Affiliation(s)
- Ahmed A Shibl
- Red Sea Research Center, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia
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Thompson LR, Field C, Romanuk T, Ngugi D, Siam R, El Dorry H, Stingl U. Patterns of ecological specialization among microbial populations in the Red Sea and diverse oligotrophic marine environments. Ecol Evol 2013; 3:1780-97. [PMID: 23789085 PMCID: PMC3686209 DOI: 10.1002/ece3.593] [Citation(s) in RCA: 38] [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: 02/02/2013] [Revised: 02/27/2013] [Accepted: 03/08/2013] [Indexed: 12/16/2022] Open
Abstract
Large swaths of the nutrient-poor surface ocean are dominated numerically by cyanobacteria (Prochlorococcus), cyanobacterial viruses (cyanophage), and alphaproteobacteria (SAR11). How these groups thrive in the diverse physicochemical environments of different oceanic regions remains poorly understood. Comparative metagenomics can reveal adaptive responses linked to ecosystem-specific selective pressures. The Red Sea is well-suited for studying adaptation of pelagic-microbes, with salinities, temperatures, and light levels at the extreme end for the surface ocean, and low nutrient concentrations, yet no metagenomic studies have been done there. The Red Sea (high salinity, high light, low N and P) compares favorably with the Mediterranean Sea (high salinity, low P), Sargasso Sea (low P), and North Pacific Subtropical Gyre (high light, low N). We quantified the relative abundance of genetic functions among Prochlorococcus, cyanophage, and SAR11 from these four regions. Gene frequencies indicate selection for phosphorus acquisition (Mediterranean/Sargasso), DNA repair and high-light responses (Red Sea/Pacific Prochlorococcus), and osmolyte C1 oxidation (Red Sea/Mediterranean SAR11). The unexpected connection between salinity-dependent osmolyte production and SAR11 C1 metabolism represents a potentially major coevolutionary adaptation and biogeochemical flux. Among Prochlorococcus and cyanophage, genes enriched in specific environments had ecotype distributions similar to nonenriched genes, suggesting that inter-ecotype gene transfer is not a major source of environment-specific adaptation. Clustering of metagenomes using gene frequencies shows similarities in populations (Red Sea with Pacific, Mediterranean with Sargasso) that belie their geographic distances. Taken together, the genetic functions enriched in specific environments indicate competitive strategies for maintaining carrying capacity in the face of physical stressors and low nutrient availability.
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Affiliation(s)
- Luke R Thompson
- Red Sea Research Center, King Abdullah University of Science and Technology (KAUST) Thuwal, 23955-6900, Saudi Arabia
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Sullivan MB, Huang KH, Ignacio-Espinoza JC, Berlin AM, Kelly L, Weigele PR, DeFrancesco AS, Kern SE, Thompson LR, Young S, Yandava C, Fu R, Krastins B, Chase M, Sarracino D, Osburne MS, Henn MR, Chisholm SW. Genomic analysis of oceanic cyanobacterial myoviruses compared with T4-like myoviruses from diverse hosts and environments. Environ Microbiol 2011; 12:3035-56. [PMID: 20662890 PMCID: PMC3037559 DOI: 10.1111/j.1462-2920.2010.02280.x] [Citation(s) in RCA: 245] [Impact Index Per Article: 18.8] [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] [Indexed: 11/30/2022]
Abstract
T4-like myoviruses are ubiquitous, and their genes are among the most abundant documented in ocean systems. Here we compare 26 T4-like genomes, including 10 from non-cyanobacterial myoviruses, and 16 from marine cyanobacterial myoviruses (cyanophages) isolated on diverse Prochlorococcus or Synechococcus hosts. A core genome of 38 virion construction and DNA replication genes was observed in all 26 genomes, with 32 and 25 additional genes shared among the non-cyanophage and cyanophage subsets, respectively. These hierarchical cores are highly syntenic across the genomes, and sampled to saturation. The 25 cyanophage core genes include six previously described genes with putative functions (psbA, mazG, phoH, hsp20, hli03, cobS), a hypothetical protein with a potential phytanoyl-CoA dioxygenase domain, two virion structural genes, and 16 hypothetical genes. Beyond previously described cyanophage-encoded photosynthesis and phosphate stress genes, we observed core genes that may play a role in nitrogen metabolism during infection through modulation of 2-oxoglutarate. Patterns among non-core genes that may drive niche diversification revealed that phosphorus-related gene content reflects source waters rather than host strain used for isolation, and that carbon metabolism genes appear associated with putative mobile elements. As well, phages isolated on Synechococcus had higher genome-wide %G+C and often contained different gene subsets (e.g. petE, zwf, gnd, prnA, cpeT) than those isolated on Prochlorococcus. However, no clear diagnostic genes emerged to distinguish these phage groups, suggesting blurred boundaries possibly due to cross-infection. Finally, genome-wide comparisons of both diverse and closely related, co-isolated genomes provide a locus-to-locus variability metric that will prove valuable for interpreting metagenomic data sets.
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Elmer KR, Thompson LR, Meyer A. Similar levels of diversity and population Structure in superflock and non-superflock cichlid fishes from Lake Victoria, Africa. ACTA ACUST UNITED AC 2011. [DOI: 10.4314/tfb.v18i2.63288] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
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Zinser ER, Lindell D, Johnson ZI, Futschik ME, Steglich C, Coleman ML, Wright MA, Rector T, Steen R, McNulty N, Thompson LR, Chisholm SW. Choreography of the transcriptome, photophysiology, and cell cycle of a minimal photoautotroph, prochlorococcus. PLoS One 2009; 4:e5135. [PMID: 19352512 PMCID: PMC2663038 DOI: 10.1371/journal.pone.0005135] [Citation(s) in RCA: 157] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2008] [Accepted: 01/19/2009] [Indexed: 01/11/2023] Open
Abstract
The marine cyanobacterium Prochlorococcus MED4 has the smallest genome and cell size of all known photosynthetic organisms. Like all phototrophs at temperate latitudes, it experiences predictable daily variation in available light energy which leads to temporal regulation and partitioning of key cellular processes. To better understand the tempo and choreography of this minimal phototroph, we studied the entire transcriptome of the cell over a simulated daily light-dark cycle, and placed it in the context of diagnostic physiological and cell cycle parameters. All cells in the culture progressed through their cell cycles in synchrony, thus ensuring that our measurements reflected the behavior of individual cells. Ninety percent of the annotated genes were expressed, and 80% had cyclic expression over the diel cycle. For most genes, expression peaked near sunrise or sunset, although more subtle phasing of gene expression was also evident. Periodicities of the transcripts of genes involved in physiological processes such as in cell cycle progression, photosynthesis, and phosphorus metabolism tracked the timing of these activities relative to the light-dark cycle. Furthermore, the transitions between photosynthesis during the day and catabolic consumption of energy reserves at night— metabolic processes that share some of the same enzymes — appear to be tightly choreographed at the level of RNA expression. In-depth investigation of these patterns identified potential regulatory proteins involved in balancing these opposing pathways. Finally, while this analysis has not helped resolve how a cell with so little regulatory capacity, and a ‘deficient’ circadian mechanism, aligns its cell cycle and metabolism so tightly to a light-dark cycle, it does provide us with a valuable framework upon which to build when the Prochlorococcus proteome and metabolome become available.
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Affiliation(s)
- Erik R. Zinser
- Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America
- Department of Microbiology, University of Tennessee, Knoxville, Tennessee, United States of America
| | - Debbie Lindell
- Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America
- Faculty of Biology, Technion-Israel Institute of Technology, Haifa, Israel
| | - Zackary I. Johnson
- Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America
- Department of Oceanography, University of Hawaii, Honolulu, Hawaii, United States of America
| | - Matthias E. Futschik
- Institute of Theoretical Biology, Humboldt University, Berlin, Germany
- Center for Molecular and Structural Biomedicine, University of Algarve, Faro, Portugal
| | - Claudia Steglich
- Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America
- Institute of Biology III, University of Freiburg, Freiburg, Germany
| | - Maureen L. Coleman
- Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America
| | - Matthew A. Wright
- Department of Genetics, Harvard Medical School, Boston, Massachusetts, United States of America
| | - Trent Rector
- Department of Genetics, Harvard Medical School, Boston, Massachusetts, United States of America
| | - Robert Steen
- Department of Genetics, Harvard Medical School, Boston, Massachusetts, United States of America
| | - Nathan McNulty
- Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America
| | - Luke R. Thompson
- Department of Biology, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America
| | - Sallie W. Chisholm
- Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America
- Department of Biology, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America
- * E-mail:
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Armstrong DB, Chapin CV, Emerson H, Freeman AW, Frost WH, Thompson LR, Winslow CE, Dublin LI. REPORT OF THE COMMITTEE ON MUNICIPAL HEALTH DEPARTMENT PRACTICE. Am J Public Health (N Y) 2008; 14:184-7. [PMID: 18011159 DOI: 10.2105/ajph.14.3.184] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
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Thompson LR, Britten RH. STANDARDS OF MEASUREMENT OF TEN THOUSAND MALE WORKERS: PRELIMINARY NOTE, WITH SPECIAL REFERENCE TO RACIAL FACTORS. Am J Public Health (N Y) 2008; 14:383-90. [PMID: 18011212 DOI: 10.2105/ajph.14.5.383] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
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Sullivan MB, Lindell D, Lee JA, Thompson LR, Bielawski JP, Chisholm SW. Prevalence and evolution of core photosystem II genes in marine cyanobacterial viruses and their hosts. PLoS Biol 2006; 4:e234. [PMID: 16802857 PMCID: PMC1484495 DOI: 10.1371/journal.pbio.0040234] [Citation(s) in RCA: 309] [Impact Index Per Article: 17.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2006] [Accepted: 05/11/2006] [Indexed: 11/18/2022] Open
Abstract
Cyanophages (cyanobacterial viruses) are important agents of horizontal gene transfer among marine cyanobacteria, the numerically dominant photosynthetic organisms in the oceans. Some cyanophage genomes carry and express host-like photosynthesis genes, presumably to augment the host photosynthetic machinery during infection. To study the prevalence and evolutionary dynamics of this phenomenon, 33 cultured cyanophages of known family and host range and viral DNA from field samples were screened for the presence of two core photosystem reaction center genes,
psbA and
psbD. Combining this expanded dataset with published data for nine other cyanophages, we found that 88% of the phage genomes contain
psbA, and 50% contain both
psbA and
psbD. The
psbA gene was found in all myoviruses and
Prochlorococcus podoviruses, but could not be amplified from
Prochlorococcus siphoviruses or
Synechococcus podoviruses. Nearly all of the phages that encoded both
psbA and
psbD had broad host ranges. We speculate that the presence or absence of
psbA in a phage genome may be determined by the length of the latent period of infection. Whether it also carries
psbD may reflect constraints on coupling of viral- and host-encoded PsbA–PsbD in the photosynthetic reaction center across divergent hosts. Phylogenetic clustering patterns of these genes from cultured phages suggest that whole genes have been transferred from host to phage in a discrete number of events over the course of evolution (four for
psbA, and two for
psbD), followed by horizontal and vertical transfer between cyanophages. Clustering patterns of
psbA and
psbD from
Synechococcus cells were inconsistent with other molecular phylogenetic markers, suggesting genetic exchanges involving
Synechococcus lineages. Signatures of intragenic recombination, detected within the cyanophage gene pool as well as between hosts and phages in both directions, support this hypothesis. The analysis of cyanophage
psbA and
psbD genes from field populations revealed significant sequence diversity, much of which is represented in our cultured isolates. Collectively, these findings show that photosynthesis genes are common in cyanophages and that significant genetic exchanges occur from host to phage, phage to host, and within the phage gene pool. This generates genetic diversity among the phage, which serves as a reservoir for their hosts, and in turn influences photosystem evolution.
Analysis of 33 cultured cyanophages of known family and host range, as well as viral DNA from field samples, reveals the prevalence of photosynthesis genes in cyanophages and demonstrates significant genetic exchanges between host and phage.
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Affiliation(s)
- Matthew B Sullivan
- 1Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America
| | - Debbie Lindell
- 1Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America
| | - Jessica A Lee
- 2Department of Biology, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America
| | - Luke R Thompson
- 2Department of Biology, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America
| | - Joseph P Bielawski
- 3Department of Biology, Dalhousie University, Halifax, Nova Scotia, Canada
- 4Department of Mathematics and Statistics, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Sallie W Chisholm
- 1Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America
- 2Department of Biology, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America
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Abstract
OBJECTIVES To determine the rates of maternal ingestion of cocaine, marijuana, and opiates in women from Minneapolis-St Paul, Minn, in 1993 and compare them with rates observed in 1989; and to compare outcomes of newborns born to those women with and without evidence of prenatal drug ingestion. STUDY DESIGN The meconium from newborns of a representative cluster-based sample of women from Minneapolis-St Paul was analyzed for metabolites of cocaine, marijuana, and opiates. The newborns were consecutive births in four urban and suburban hospitals. Maternal demographic information and newborn outcome data were collected and matched to the meconium samples. The race, age, and socioeconomic status of the mothers whose newborns were screened were the same as the demographic characteristics of all women delivering babies in Minneapolis-St Paul in 1990 and 1991. SETTING Metropolitan hospitals of Minneapolis-St Paul. MAIN RESULTS Of the 1333 samples, 27 (2.0%) were cocaine positive, 35 (2.6%) were tetrahydrocannabinol positive, and 16 (1.2%) were opiate positive. There were 168 women (22.6%) reporting that they smoked. Detection of tetrahydrocannabinol and cocaine was more common in newborns of women of color, those receiving medical assistance, and those over age 23 years. Newborns with meconium samples positive for cocaine or tetrahydrocannabinol had slightly lower average birth weights but were no more likely to be premature or to require neonatal intensive care unit admission than newborns with no drugs detected in their meconium. Newborns of mothers who smoked throughout pregnancy had lower average birth weights and higher rates of prematurity and neonatal intensive care unit admissions. Standardized rates of cocaine detection in the four hospitals decreased from 4.0% in 1989 to 2.0% in 1993. CONCLUSIONS Rates of perinatal cocaine detection have declined in the Twin Cities of Minneapolis-St Paul over the past 4 years. In this population, self-reported smoking was associated with more serious adverse outcomes of the newborns than was the detection of cocaine, marijuana, or opiates.
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Affiliation(s)
- B P Yawn
- Olmsted Medical Group, Rochester, Minn
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Affiliation(s)
- L R Thompson
- University of Arkansas for Medical Sciences, College of Pharmacy, Little Rock 72205
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Thompson LR. Pharmacy discipline differentiation. Am J Hosp Pharm 1986; 43:2853-4. [PMID: 3799627] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
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Demiryont H, Thompson LR, Collins GJ. Optical properties of aluminum oxynitrides deposited by laser-assisted CVD. Appl Opt 1986; 25:1311. [PMID: 18231336 DOI: 10.1364/ao.25.001311] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/25/2023]
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Miller EG, Thompson LR, Zimmermann ER, Bowles WH. In vivo studies on the carcinogenic potential of an orthodontic bonding resin. Am J Orthod 1984; 86:342-6. [PMID: 6237589 DOI: 10.1016/0002-9416(84)90145-3] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Abstract
Data from another laboratory have indicated that the individual components of an orthodontic bonding resin might contain a carcinogen. Since that report, the formulation of the product was changed. The purpose of this study was to determine whether the new product is safe. Three groups of rats were used for the experiment. One group served as a control, while the other groups ingested the sealant resin or sealant catalyst. The materials were suspended in an alcohol-aqueous mixture and the solutions were given to the animals as their only source of fluid. The exposure was for 1 year. After this period of time, all the rats were given tap water and observed until day 600. The animals were autopsied at time of death or at the end of the experiment. During the treatment, there were significant differences (p less than 0.01) in water intake among the three groups. The average intake per day for the animals in the control group, the resin group, and the catalyst group was 50.2 cc, 37.8 cc, and 42.2 cc, respectively. Several animals died during the experiment, but there was no significant differences in the life expectancy of the animals in the three groups. The autopsies uncovered one malignant neoplasm, an undifferentiated sarcoma, in a rat from the control group and four benign tumors in rats from the three groups. All of these results indicate that the new formulation of the orthodontic bonding resin is not carcinogenic when ingested at a dose level of 50 ppm.
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Bowles WH, Thompson LR. Retention of Heli-Coil, cemented, and threaded posts: a comparison. Gen Dent 1983; 31:374-5. [PMID: 6368312] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
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Hackathorn DR, Brinkman WJ, Hathaway TR, Talbott TD, Thompson LR. Validation of a whole blood method for cholinesterase monitoring. Am Ind Hyg Assoc J 1983; 44:547-51. [PMID: 6613858 DOI: 10.1080/15298668391405283] [Citation(s) in RCA: 15] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
Abstract
Traditional cholinesterase monitoring methods requiring several milliliters of blood are too invasive for prolonged routine monitoring. After several years' experience with a whole blood method requiring only 50 microL of blood for each test, a statistical evaluation of 1 year's monitoring data was undertaken to determine the normal variation of the test procedures. The results showed excellent sensitivity and reproducibility. On the basis of these data and other obvious advantages, this method is recommended as a more acceptable procedure for cholinesterase monitoring in field situations as well as plant settings.
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Abstract
The unpolymerized material extracted from cured orthodontic bonding resin was analyzed by UV spectrophotometry. Under certain conditions, substantial amounts of the material (approximately 14%) were leached from bracketed teeth. The possible carcinogenicity of these unpolymerized materials is discussed.
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Thompson LR. How much future competition from HMOs? Physicians Manage 1981; 21:90-2, 94. [PMID: 10249842] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 02/12/2023]
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46
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Thompson LR. Effects of various dental materials on alkaline phosphatase extracted from pulp: an experiment for the biochemistry laboratory. J Dent Educ 1980; 44:648-9. [PMID: 6933198] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
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Thompson LR, Bowles WH. A technique for intraradicular dental implants. J Prosthet Dent 1980; 44:201-5. [PMID: 6772767 DOI: 10.1016/0022-3913(80)90138-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
Abstract
A technique utilizing nonvital roots for the support of intraradicular dental implants has been developed and tested. Using this technique it may be possible to preserve the roots of teeth that would normally be lost because of periodontal involvement. In this technique, a suitable tooth is treated endodontically. The crown is then removed to the height of the alveolar crest, and the root is drilled and tapped to accept a threaded stainless steel Heli-Coil insert. The root is then covered with a gingival flap. This allows for the regeneration of periodontal tissues around the root while it isolated from the oral environment. Following the period of natural healing, a stainless steel post is threaded into the Heli-Coil root implant. In the present studies (canine roots in a rhesus monkey) the implant posts are fitted with Adaptic crowns. These implants have been in place for more than 6 months with no sign of implant failure.
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Scott EA, Riebold TW, Lamar AM, Wolz GS, Sandler GA, Thompson LR. Effect of pneumatic tourniquet application to the distal extremities of the horse: blood gas, serum electrolyte, osmolality, and hematologic alterations. Am J Vet Res 1979; 40:1078-81. [PMID: 43108] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
With 120 minutes of pneumatic tourniquet application to the distal extremity in the horse, the following effects were noted in the tourniqueted limb vein (TLV): (i) local venous acidemia, (ii) increase in serum K+ concentrations, (iii) minimal changes in plasma total solids, Na+, or osmolality, and (iv) apparent reduction in hematocrit values when compared with the same measurements in the control leg. Tourniquet release after 120 minutes produced a prompt return to base line for PCV and PO2 in the TLV; however, pH, PCO2 and K+ values in the TLV required 10 to 15 minutes to reach base line (TLV or control leg vein).
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Mitsuyama Y, Thompson LR, Hayashi T, Lee KK, Keehn RJ, Resch JA, Steer A. Autopsy study of cerebrovascular disease in Japanese men who lived in Hiroshima, Japan, and Honolulu, Hawaii. Stroke 1979; 10:389-95. [PMID: 505476 DOI: 10.1161/01.str.10.4.389] [Citation(s) in RCA: 22] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Evidence of cerebrovascular disease at autopsy was compared in 2 groups of men: 186 long-time residents of Hiroshima, Japan, and 253 men of Japanese ancestry long resident in Honolulu, Hawaii. They were 45 to 71 years-of-age at death. Atherosclerosis of the circle of Willis and its major branches, sclerosis of the intraparenchymal arteries and the frequency of cerebral hemorrhage and cerebral infarct were compared in the 2 populations. The Honolulu subjects had significantly more atherosclerosis of the circle of Willis, but less intraparenchymal artery sclerosis and less cerebral infarction. Cerebral hemorrhage was equally frequent in the 2 cities. It was concluded that cerebral infarction is more frequent in Japanese men in Hiroshima than Honolulu, and that men of Japanese ancestry in Honolulu are spared an appreciable risk of cerebral infarction through decreased frequency of intraparenchymal arterial sclerosis despite higher levels of atherosclerosis of large intracranial arteries.
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Abstract
Exposure of S-phase nuclei or subnuclear preparations from phytohemagglutinin-stimulated bovine lymphocytes to 0.02 M ATP caused an immediate and almost total loss of their ability to replicate DNA in vitro. Other ribonucleoside and deoxyribonucleoside triphosphates caused a similar inhibition of DNA replication. Levels of ATP which inhibit replication cause the release of DNA polymerases alpha and beta and small pieces of DNA from these nuclei. This release occurs both at 4 and 37 degrees C. The data support the conclusion that high levels of ATP or other nucleoside triphosphates inhibit DNA replication in nuclei by dissolution of the DNA replication complex. The limited success in reconstitution of the DNA replicase complexes is discussed.
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