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Williamson CHD, Vazquez AJ, Nunnally AE, Kyger K, Fofanov VY, Furstenau TN, Hornstra HM, Terriquez J, Keim P, Sahl JW. ColiSeq: a multiplex amplicon assay that provides strain level resolution of Escherichia coli directly from clinical specimens. Microbiol Spectr 2024:e0413923. [PMID: 38651881 DOI: 10.1128/spectrum.04139-23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2023] [Accepted: 04/01/2024] [Indexed: 04/25/2024] Open
Abstract
Escherichia coli is a diverse pathogen, causing a range of disease in humans, from self-limiting diarrhea to urinary tract infections (UTIs). Uropathogenic E. coli (UPEC) is the most frequently observed uropathogen in UTIs, a common disease in high-income countries, incurring billions of dollars yearly in treatment costs. Although E. coli is easily grown and identified in the clinical laboratory, genotyping the pathogen is more complicated, yet critical for reducing the incidence of disease. These goals can be achieved through whole-genome sequencing of E. coli isolates, but this approach is relatively slow and typically requires culturing the pathogen in the laboratory. To genotype E. coli rapidly and inexpensively directly from clinical samples, including but not limited to urine, we developed and validated a multiplex amplicon sequencing assay, called ColiSeq. The assay consists of targets designed for E. coli species confirmation, high resolution genotyping, and mixture deconvolution. To demonstrate its utility, we screened the ColiSeq assay against 230 clinical urine samples collected from a hospital system in Flagstaff, Arizona, USA. A limit of detection analysis demonstrated the ability of ColiSeq to identify E. coli at a concentration of ~2 genomic equivalent (GEs)/mL and to generate high-resolution genotyping at a concentration of 1 × 105 GEs/mL. The results of this study suggest that ColiSeq could be a valuable method to understand the source of UPEC strains and guide infection mitigation efforts. As sequence-based diagnostics become accepted in the clinical laboratory, workflows such as ColiSeq will provide actionable information to improve patient outcomes.IMPORTANCEUrinary tract infections (UTIs), caused primarily by Escherichia coli, create an enormous health care burden in the United States and other high-income countries. The early detection of E. coli from clinical samples, including urine, is important to target therapy and prevent further patient complications. Additionally, understanding the source of E. coli exposure will help with future mitigation efforts. In this study, we developed, tested, and validated an amplicon sequencing assay focused on direct detection of E. coli from urine. The resulting sequence data were demonstrated to provide strain level resolution of the pathogen, not only confirming the presence of E. coli, which can focus treatment efforts, but also providing data needed for source attribution and contact tracing. This assay will generate inexpensive, rapid, and reproducible data that can be deployed by public health agencies to track, diagnose, and potentially mitigate future UTIs caused by E. coli.
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Affiliation(s)
| | - Adam J Vazquez
- Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, Arizona, USA
| | - Amalee E Nunnally
- Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, Arizona, USA
| | - Kristen Kyger
- Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, Arizona, USA
| | - Viacheslav Y Fofanov
- Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, Arizona, USA
- School of Informatics, Computing, and Cyber Systems, Northern Arizona University, Flagstaff, Arizona, USA
| | - Tara N Furstenau
- Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, Arizona, USA
- School of Informatics, Computing, and Cyber Systems, Northern Arizona University, Flagstaff, Arizona, USA
| | - Heidie M Hornstra
- Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, Arizona, USA
| | | | - Paul Keim
- Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, Arizona, USA
| | - Jason W Sahl
- Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, Arizona, USA
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Smith TJ, Schill KM, Williamson CHD. Navigating the Complexities Involving the Identification of Botulinum Neurotoxins (BoNTs) and the Taxonomy of BoNT-Producing Clostridia. Toxins (Basel) 2023; 15:545. [PMID: 37755971 PMCID: PMC10535752 DOI: 10.3390/toxins15090545] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2023] [Revised: 08/17/2023] [Accepted: 08/22/2023] [Indexed: 09/28/2023] Open
Abstract
Botulinum neurotoxins are a varied group of protein toxins that share similar structures and modes of activity. They include at least seven serotypes and over forty subtypes that are produced by seven different clostridial species. These bacterial species are not limited strictly to BoNT-producers as neuro-toxigenic and non-neuro-toxigenic members have been identified within each species. The nomenclature surrounding these toxins and associated bacteria has been evolving as new isolations and discoveries have arisen, resulting in challenges in diagnostic reporting, epidemiology and food safety studies, and in the application of therapeutic products. An understanding of the intricacies regarding the nomenclature of BoNTs and BoNT-producing clostridia is crucial for communication that allows for accurate reporting of information that is pertinent to each situation.
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Affiliation(s)
- Theresa J. Smith
- Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ 86011, USA;
| | - Kristin M. Schill
- Food Research Institute, University of Wisconsin-Madison, Madison, WI 53706, USA;
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Pereira CR, Neia RC, Silva SB, Williamson CHD, Gillece JD, O'Callaghan D, Foster JT, Oliveira IRC, Filho JSSB, Lage AP, Azevedo VAC, Dorneles EMS. Comparison of Brucella abortus population structure based on genotyping methods with different levels of resolution. J Microbiol Methods 2023:106772. [PMID: 37343840 DOI: 10.1016/j.mimet.2023.106772] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Revised: 06/18/2023] [Accepted: 06/18/2023] [Indexed: 06/23/2023]
Abstract
Numerous genotyping techniques based on different principles and with different costs and levels of resolution are currently available for understanding the transmission dynamics of brucellosis worldwide. We aimed to compare the population structure of the genomes of 53 Brazilian Brucella abortus isolates using eight different genotyping methods: multiple-locus variable-number tandem-repeat analysis (MLVA8, MLVA11, MLVA16), multilocus sequence typing (MLST9, MLST21), core genome MLST (cgMLST) and two techniques based on single nucleotide polymorphism (SNP) detection (parSNP and NASP) from whole genomes. The strains were isolated from six different Brazilian states between 1977 and 2008 and had previously been analyzed using MLVA8, MLVA11, and MLVA16. Their whole genomes were sequenced, assembled, and subjected to MSLT9 MLST21, cgMLST, and SNP analyses. All the genotypes were compared by hierarchical grouping method based on the average distances between the correlation matrices of each technique. MLST9 and MLST21 had the lowest level of resolution, both revealing only four genotypes. MLVA8, MLVA11, and MLVA16 had progressively increasing levels of resolution as more loci were analyzed, identifying 6, 16, and 44 genotypes, respectively. cgMLST showed the highest level of resolution, identifying 45 genotypes, followed by the SNP-based methods, both of which had 44 genotypes. In the assessed population, MLVA was more discriminatory than MLST and was easier and cheaper to perform. SNP techniques and cgMLST provided the highest levels of resolution and the results from the two methods were in close agreement. In conclusion, the choice of genotyping technique can strongly affect one's ability to make meaningful epidemiological conclusions but is dependent on available resources: while the VNTR based techniques are more indicated to high prevalence scenarios, the WGS methods are the ones with the best discriminative power and therefore recommended for outbreaks investigation.
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Affiliation(s)
- Carine R Pereira
- Faculdade de Zootecnia e Medicina Veterinária, Universidade Federal de Lavras, Lavras, Minas Gerais, Brazil
| | - Raquel C Neia
- Faculdade de Ciências Básicas, Universidade Federal Fluminense, Nova Friburgo, Rio de Janeiro, Brazil
| | - Saulo B Silva
- Escola de Ciências da Saúde, Univali, Itajaí, Santa Catarina, Brazil
| | | | - John D Gillece
- Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ, USA
| | - David O'Callaghan
- Bacterial Virulence and Infectious Disease, University of Montpellier, Nimes, France
| | - Jeffrey T Foster
- Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ, USA
| | - Izabela R C Oliveira
- Departamento de Estatística, Universidade Federal de Lavras, Lavras, Minas Gerais, Brazil
| | - Júlio S S B Filho
- Departamento de Estatística, Universidade Federal de Lavras, Lavras, Minas Gerais, Brazil
| | - Andrey P Lage
- Escola de Veterinária, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil
| | - Vasco A C Azevedo
- Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil
| | - Elaine M S Dorneles
- Faculdade de Zootecnia e Medicina Veterinária, Universidade Federal de Lavras, Lavras, Minas Gerais, Brazil.
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Williamson CHD, Roe CC, Terriquez J, Hornstra H, Lucero S, Nunnally AE, Vazquez AJ, Vinocur J, Plude C, Nienstadt L, Stone NE, Celona KR, Wagner DM, Keim P, Sahl JW. A local-scale One Health genomic surveillance of Clostridioides difficile demonstrates highly related strains from humans, canines, and the environment. Microb Genom 2023; 9. [PMID: 37347682 DOI: 10.1099/mgen.0.001046] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/24/2023] Open
Abstract
Although infections caused by Clostridioides difficile have historically been attributed to hospital acquisition, growing evidence supports the role of community acquisition in C. difficile infection (CDI). Symptoms of CDI can range from mild, self-resolving diarrhoea to toxic megacolon, pseudomembranous colitis, and death. In this study, we sampled C. difficile from clinical, environmental, and canine reservoirs in Flagstaff, Arizona, USA, to understand the distribution and transmission of the pathogen in a One Health framework; Flagstaff is a medium-sized, geographically isolated city with a single hospital system, making it an ideal site to characterize genomic overlap between sequenced C. difficile isolates across reservoirs. An analysis of 562 genomes from Flagstaff isolates identified 65 sequence types (STs), with eight STs being found across all three reservoirs and another nine found across two reservoirs. A screen of toxin genes in the pathogenicity locus identified nine STs where all isolates lost the toxin genes needed for CDI manifestation (tcdB, tcdA), demonstrating the widespread distribution of non-toxigenic C. difficile (NTCD) isolates in all three reservoirs; 15 NTCD genomes were sequenced from symptomatic, clinical samples, including two from mixed infections that contained both tcdB+ and tcdB- isolates. A comparative single nucleotide polymorphism (SNP) analysis of clinically derived isolates identified 78 genomes falling within clusters separated by ≤2 SNPs, indicating that ~19 % of clinical isolates are associated with potential healthcare-associated transmission clusters; only symptomatic cases were sampled in this study, and we did not sample asymptomatic transmission. Using this same SNP threshold, we identified genomic overlap between canine and soil isolates, as well as putative transmission between environmental and human reservoirs. The core genome of isolates sequenced in this study plus a representative set of public C. difficile genomes (n=136), was 2690 coding region sequences, which constitutes ~70 % of an individual C. difficile genome; this number is significantly higher than has been published in some other studies, suggesting that genome data quality is important in understanding the minimal number of genes needed by C. difficile. This study demonstrates the close genomic overlap among isolates sampled across reservoirs, which was facilitated by maximizing the genomic search space used for comprehensive identification of potential transmission events. Understanding the distribution of toxigenic and non-toxigenic C. difficile across reservoirs has implications for surveillance sampling strategies, characterizing routes of infections, and implementing mitigation measures to limit human infection.
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Affiliation(s)
| | - Chandler C Roe
- The Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ, USA
| | | | - Heidie Hornstra
- The Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ, USA
| | - Samantha Lucero
- The Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ, USA
| | - Amalee E Nunnally
- The Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ, USA
| | - Adam J Vazquez
- The Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ, USA
| | | | | | | | - Nathan E Stone
- The Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ, USA
| | - Kimberly R Celona
- The Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ, USA
| | - David M Wagner
- The Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ, USA
| | - Paul Keim
- The Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ, USA
| | - Jason W Sahl
- The Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ, USA
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Roe CC, Holiday O, Upshaw-Bia K, Benally G, Williamson CHD, Urbanz J, Verocai GG, Ridenour CL, Nottingham R, Ford MA, Lake DP, Kennedy TA, Hepp CM, Sahl JW. Biting midges (Diptera: Ceratopogonidae) as putative vectors of zoonotic Onchocerca lupi (Nematoda: Onchocercidae) in northern Arizona and New Mexico, southwestern United States. Front Vet Sci 2023; 10:1167070. [PMID: 37256003 PMCID: PMC10225701 DOI: 10.3389/fvets.2023.1167070] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2023] [Accepted: 04/28/2023] [Indexed: 06/01/2023] Open
Abstract
Onchocerca lupi (Rodonaja, 1967) is an understudied, vector-borne, filarioid nematode that causes ocular onchocercosis in dogs, cats, coyotes, wolves, and is also capable of infecting humans. Onchocercosis in dogs has been reported with increasing incidence worldwide. However, despite the growing number of reports describing canine O. lupi cases as well as zoonotic infections globally, the disease prevalence in endemic areas and vector species of this parasite remains largely unknown. Here, our study aimed to identify the occurrence of O. lupi infected dogs in northern Arizona, New Mexico, and Utah, United States and identify the vector of this nematode. A total of 532 skin samples from randomly selected companion animals with known geographic locations within the Navajo Reservation were collected and molecularly surveyed by PCR for the presence of O. lupi DNA (September 2019-June 2022) using previously published nematode primers (COI) and DNA sequencing. O. lupi DNA was detected in 50 (9.4%) sampled animals throughout the reservation. Using positive animal samples to target geographic locations, pointed hematophagous insect trapping was performed to identify potential O. lupi vectors. Out of 1,922 insects screened, 38 individual insects and 19 insect pools tested positive for the presence of O. lupi, all of which belong to the Diptera family. This increased surveillance of definitive host and biological vector/intermediate host is the first large scale prevalence study of O. lupi in companion animals in an endemic area of the United States, and identified an overall prevalence of 9.4% in companion animals as well as multiple likely biological vector and putative vector species in the southwestern United States. Furthermore, the identification of these putative vectors in close proximity to human populations coupled with multiple, local zoonotic cases highlight the One Health importance of O. lupi.
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Affiliation(s)
- Chandler C. Roe
- The Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ, United States
- School of Informatics, Computing, and Cyber Systems, Northern Arizona University, Flagstaff, AZ, United States
| | - Olivia Holiday
- Navajo Nation Veterinary Management Program, Window Rock, AZ, United States
| | - Kelly Upshaw-Bia
- Navajo Nation Veterinary Management Program, Window Rock, AZ, United States
| | - Gaven Benally
- Navajo Nation Veterinary Management Program, Window Rock, AZ, United States
| | - Charles H. D. Williamson
- The Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ, United States
| | | | - Guilherme G. Verocai
- Department of Veterinary Pathobiology, College of Veterinary Medicine and Biomedical Sciences, Texas A&M University, College Station, TX, United States
| | - Chase L. Ridenour
- The Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ, United States
- School of Informatics, Computing, and Cyber Systems, Northern Arizona University, Flagstaff, AZ, United States
- Pathogen and Microbiome Division, Translational Genomics Research Institute, Flagstaff, AZ, United States
| | - Roxanne Nottingham
- The Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ, United States
| | - Morgan A. Ford
- U.S. Geological Survey, Southwest Biological Science Center, Flagstaff, AZ, United States
| | - Derek P. Lake
- The Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ, United States
| | - Theodore A. Kennedy
- U.S. Geological Survey, Southwest Biological Science Center, Flagstaff, AZ, United States
| | - Crystal M. Hepp
- The Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ, United States
- School of Informatics, Computing, and Cyber Systems, Northern Arizona University, Flagstaff, AZ, United States
- Pathogen and Microbiome Division, Translational Genomics Research Institute, Flagstaff, AZ, United States
| | - Jason W. Sahl
- The Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ, United States
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Smith TJ, Tian R, Imanian B, Williamson CHD, Johnson SL, Daligault HE, Schill KM. Integration of Complete Plasmids Containing Bont Genes into Chromosomes of Clostridium parabotulinum, Clostridium sporogenes, and Clostridium argentinense. Toxins (Basel) 2021; 13:toxins13070473. [PMID: 34357945 PMCID: PMC8310154 DOI: 10.3390/toxins13070473] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2021] [Revised: 06/30/2021] [Accepted: 07/05/2021] [Indexed: 11/16/2022] Open
Abstract
At least 40 toxin subtypes of botulinum neurotoxins (BoNTs), a heterogenous group of bacterial proteins, are produced by seven different clostridial species. A key factor that drives the diversity of neurotoxigenic clostridia is the association of bont gene clusters with various genomic locations including plasmids, phages and the chromosome. Analysis of Clostridium sporogenes BoNT/B1 strain CDC 1632, C. argentinense BoNT/G strain CDC 2741, and Clostridium parabotulinum BoNT/B1 strain DFPST0006 genomes revealed bont gene clusters within plasmid-like sequences within the chromosome or nested in large contigs, with no evidence of extrachromosomal elements. A nucleotide sequence (255,474 bp) identified in CDC 1632 shared 99.5% identity (88% coverage) with bont/B1-containing plasmid pNPD7 of C. sporogenes CDC 67071; CDC 2741 contig AYSO01000020 (1.1 MB) contained a ~140 kb region which shared 99.99% identity (100% coverage) with plasmid pRSJ17_1 of C. argentinense BoNT/G strain 89G; and DFPST0006 contig JACBDK0100002 (573 kb) contained a region that shared 100% identity (99%) coverage with the bont/B1-containing plasmid pCLD of C. parabotulinum Okra. This is the first report of full-length plasmid DNA-carrying complete neurotoxin gene clusters integrated in three distinct neurotoxigenic species: C. parabotulinum, C. sporogenes and C. argentinense.
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Affiliation(s)
- Theresa J. Smith
- Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ 86011, USA; (T.J.S.); (C.H.D.W.)
| | - Renmao Tian
- Institute for Food Safety and Health, Illinois Institute of Technology, Bedford Park, IL 60501, USA; (R.T.); (B.I.)
| | - Behzad Imanian
- Institute for Food Safety and Health, Illinois Institute of Technology, Bedford Park, IL 60501, USA; (R.T.); (B.I.)
- Food Science and Nutrition, Illinois Institute of Technology, Chicago, IL 60616, USA
| | - Charles H. D. Williamson
- Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ 86011, USA; (T.J.S.); (C.H.D.W.)
| | - Shannon L. Johnson
- Los Alamos National Laboratory, Los Alamos, NM 87545, USA; (S.L.J.); (H.E.D.)
| | | | - Kristin M. Schill
- Center for Food Safety and Applied Nutrition, Food and Drug Administration, Bedford Park, IL 60501, USA
- Correspondence: ; Tel.: +1-608-264-1368
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Rouzic N, Desmier L, Cariou ME, Gay E, Foster JT, Williamson CHD, Schmitt F, Le Henaff M, Le Coz A, Lorléac'h A, Lavigne JP, O'Callaghan D, Keriel A. First Case of Brucellosis Caused by an Amphibian-type Brucella. Clin Infect Dis 2021; 72:e404-e407. [PMID: 32719850 DOI: 10.1093/cid/ciaa1082] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2020] [Accepted: 07/24/2020] [Indexed: 11/12/2022] Open
Abstract
We report the first case of brucellosis caused by an isolate whose genome is identical that of a frog isolate from Texas, demonstrating the zoonotic potential of amphibian-type Brucella. Importantly, with such atypical Brucella, correct diagnosis cannot be performed using routine serological tests or identification methods.
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Affiliation(s)
- Nicolas Rouzic
- Unité de Médecine Interne-Maladies Infectieuses, Groupe Hospitalier Bretagne Sud, Lorient, France
| | - Ludovic Desmier
- Centre National de Référence (CNR) des Brucella, CHU de Nîmes, Nîmes, France.,VBMI, U1047, INSERM, Université de Montpellier, Nîmes, France
| | - Marie-Estelle Cariou
- Laboratoire de biologie médicale, Groupe Hospitalier Bretagne Sud, Lorient, France
| | - Eugénie Gay
- Laboratoire de biologie médicale, Groupe Hospitalier Bretagne Sud, Lorient, France
| | - Jeffrey T Foster
- Pathogen & Microbiome Institute (PMI), Northern Arizona University, Flagstaff, Arizona, USA
| | - Charles H D Williamson
- Pathogen & Microbiome Institute (PMI), Northern Arizona University, Flagstaff, Arizona, USA
| | - François Schmitt
- Laboratoire de biologie médicale, Groupe Hospitalier Bretagne Sud, Lorient, France
| | - Mikael Le Henaff
- Service de Pneumologie, Groupe Hospitalier Bretagne Sud, Lorient, France
| | - Alain Le Coz
- Service de Pneumologie, Groupe Hospitalier Bretagne Sud, Lorient, France
| | - Aurélien Lorléac'h
- Unité de Médecine Interne-Maladies Infectieuses, Groupe Hospitalier Bretagne Sud, Lorient, France
| | - Jean-Philippe Lavigne
- Centre National de Référence (CNR) des Brucella, CHU de Nîmes, Nîmes, France.,VBMI, U1047, INSERM, Université de Montpellier, Nîmes, France
| | - David O'Callaghan
- Centre National de Référence (CNR) des Brucella, CHU de Nîmes, Nîmes, France.,VBMI, U1047, INSERM, Université de Montpellier, Nîmes, France
| | - Anne Keriel
- Centre National de Référence (CNR) des Brucella, CHU de Nîmes, Nîmes, France.,VBMI, U1047, INSERM, Université de Montpellier, Nîmes, France
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Smith TJ, Williamson CHD, Hill KK, Johnson SL, Xie G, Anniballi F, Auricchio B, Fernández RA, Caballero PA, Keim P, Sahl JW. The Distinctive Evolution of orfX Clostridium parabotulinum Strains and Their Botulinum Neurotoxin Type A and F Gene Clusters Is Influenced by Environmental Factors and Gene Interactions via Mobile Genetic Elements. Front Microbiol 2021; 12:566908. [PMID: 33716993 PMCID: PMC7952441 DOI: 10.3389/fmicb.2021.566908] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2020] [Accepted: 02/08/2021] [Indexed: 12/30/2022] Open
Abstract
Of the seven currently known botulinum neurotoxin-producing species of Clostridium, C. parabotulinum, or C. botulinum Group I, is the species associated with the majority of human botulism cases worldwide. Phylogenetic analysis of these bacteria reveals a diverse species with multiple genomic clades. The neurotoxins they produce are also diverse, with over 20 subtypes currently represented. The existence of different bont genes within very similar genomes and of the same bont genes/gene clusters within different bacterial variants/species indicates that they have evolved independently. The neurotoxin genes are associated with one of two toxin gene cluster types containing either hemagglutinin (ha) genes or orfX genes. These genes may be located within the chromosome or extrachromosomal elements such as large plasmids. Although BoNT-producing C parabotulinum bacteria are distributed globally, they are more ubiquitous in certain specific geographic regions. Notably, northern hemisphere strains primarily contain ha gene clusters while southern hemisphere strains have a preponderance of orfX gene clusters. OrfX C. parabotulinum strains constitute a subset of this species that contain highly conserved bont gene clusters having a diverse range of bont genes. While much has been written about strains with ha gene clusters, less attention has been devoted to those with orfX gene clusters. The recent sequencing of 28 orfX C. parabotulinum strains and the availability of an additional 91 strains for analysis provides an opportunity to compare genomic relationships and identify unique toxin gene cluster characteristics and locations within this species subset in depth. The mechanisms behind the independent processes of bacteria evolution and generation of toxin diversity are explored through the examination of bacterial relationships relating to source locations and evidence of horizontal transfer of genetic material among different bacterial variants, particularly concerning bont gene clusters. Analysis of the content and locations of the bont gene clusters offers insights into common mechanisms of genetic transfer, chromosomal integration, and development of diversity among these genes.
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Affiliation(s)
- Theresa J Smith
- Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ, United States
| | - Charles H D Williamson
- Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ, United States
| | - Karen K Hill
- Los Alamos National Laboratory, Los Alamos, NM, United States
| | | | - Gary Xie
- Los Alamos National Laboratory, Los Alamos, NM, United States
| | - Fabrizio Anniballi
- Department of Food Safety, Nutrition and Veterinary Public Health, National Reference Centre for Botulism, Istituto Superiore di Sanità, Rome, Italy
| | - Bruna Auricchio
- Department of Food Safety, Nutrition and Veterinary Public Health, National Reference Centre for Botulism, Istituto Superiore di Sanità, Rome, Italy
| | - Rafael A Fernández
- Área Microbiología, Departamento de Patología, Universidad Nacional de Cuyo, Mendoza, Argentina
| | - Patricia A Caballero
- Área Microbiología, Departamento de Patología, Universidad Nacional de Cuyo, Mendoza, Argentina
| | - Paul Keim
- Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ, United States
| | - Jason W Sahl
- Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ, United States
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Smith TJ, Xie G, Williamson CHD, Hill KK, Fernández RA, Sahl JW, Keim P, Johnson SL. Genomic Characterization of Newly Completed Genomes of Botulinum Neurotoxin-Producing Species from Argentina, Australia, and Africa. Genome Biol Evol 2021; 12:229-242. [PMID: 32108238 DOI: 10.1093/gbe/evaa043] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/24/2020] [Indexed: 11/14/2022] Open
Abstract
Botulinum neurotoxin-producing clostridia are diverse in the types of toxins they produce as well as in their overall genomic composition. They are globally distributed, with prevalent species and toxin types found within distinct geographic regions, but related strains containing the same toxin types may also be located on distinct continents. The mechanisms behind the spread of these bacteria and the independent movements of their bont genes may be understood through examination of their genetic backgrounds. The generation of 15 complete genomic sequences from bacteria isolated in Argentina, Australia, and Africa allows for a thorough examination of genome features, including overall relationships, bont gene cluster locations and arrangements, and plasmid comparisons, in bacteria isolated from various areas in the southern hemisphere. Insights gained from these examinations provide an understanding of the mechanisms behind the independent movements of these elements among distinct species.
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Affiliation(s)
- Theresa J Smith
- Pathogen and Microbiome Institute, Northern Arizona University
| | - Gary Xie
- Bioscience Division, Los Alamos National Laboratory
| | | | - Karen K Hill
- Bioscience Division, Los Alamos National Laboratory
| | | | - Jason W Sahl
- Pathogen and Microbiome Institute, Northern Arizona University
| | - Paul Keim
- Pathogen and Microbiome Institute, Northern Arizona University
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10
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Roe C, Williamson CHD, Vazquez AJ, Kyger K, Valentine M, Bowers JR, Phillips PD, Harrison V, Driebe E, Engelthaler DM, Sahl JW. Bacterial Genome Wide Association Studies (bGWAS) and Transcriptomics Identifies Cryptic Antimicrobial Resistance Mechanisms in Acinetobacter baumannii. Front Public Health 2020; 8:451. [PMID: 33014966 PMCID: PMC7493718 DOI: 10.3389/fpubh.2020.00451] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2020] [Accepted: 07/21/2020] [Indexed: 12/14/2022] Open
Abstract
Antimicrobial resistance (AMR) in the nosocomial pathogen, Acinetobacter baumannii, is becoming a serious public health threat. While some mechanisms of AMR have been reported, understanding novel mechanisms of resistance is critical for identifying emerging resistance. One of the first steps in identifying novel AMR mechanisms is performing genotype/phenotype association studies; however, performing these studies is complicated by the plastic nature of the A. baumannii pan-genome. In this study, we compared the antibiograms of 12 antimicrobials associated with multiple drug families for 84 A. baumannii isolates, many isolated in Arizona, USA. in silico screening of these genomes for known AMR mechanisms failed to identify clear correlations for most drugs. We then performed a bacterial genome wide association study (bGWAS) looking for associations between all possible 21-mers; this approach generally failed to identify mechanisms that explained the resistance phenotype. In order to decrease the genomic noise associated with population stratification, we compared four phylogenetically-related pairs of isolates with differing susceptibility profiles. RNA-Sequencing (RNA-Seq) was performed on paired isolates and differentially-expressed genes were identified. In these isolate pairs, five different potential mechanisms were identified, highlighting the difficulty of broad AMR surveillance in this species. To verify and validate differential expression, amplicon sequencing was performed. These results suggest that a diagnostic platform based on gene expression rather than genomics alone may be beneficial in certain surveillance efforts. The implementation of such advanced diagnostics coupled with increased AMR surveillance will potentially improve A. baumannii infection treatment and patient outcomes.
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Affiliation(s)
- Chandler Roe
- Northern Arizona University, Flagstaff, AZ, United States
| | | | | | - Kristen Kyger
- Northern Arizona University, Flagstaff, AZ, United States
| | - Michael Valentine
- Translational Genomics Research Institute, Flagstaff, AZ, United States
| | - Jolene R. Bowers
- Translational Genomics Research Institute, Flagstaff, AZ, United States
| | | | - Veronica Harrison
- Translational Genomics Research Institute, Flagstaff, AZ, United States
| | - Elizabeth Driebe
- Translational Genomics Research Institute, Flagstaff, AZ, United States
| | | | - Jason W. Sahl
- Northern Arizona University, Flagstaff, AZ, United States
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11
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Pearson T, Sahl JW, Hepp CM, Handady K, Hornstra H, Vazquez AJ, Settles E, Mayo M, Kaestli M, Williamson CHD, Price EP, Sarovich DS, Cook JM, Wolken SR, Bowen RA, Tuanyok A, Foster JT, Drees KP, Kidd TJ, Bell SC, Currie BJ, Keim P. Pathogen to commensal? Longitudinal within-host population dynamics, evolution, and adaptation during a chronic >16-year Burkholderia pseudomallei infection. PLoS Pathog 2020; 16:e1008298. [PMID: 32134991 PMCID: PMC7077878 DOI: 10.1371/journal.ppat.1008298] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [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: 06/17/2019] [Revised: 03/17/2020] [Accepted: 01/02/2020] [Indexed: 12/14/2022] Open
Abstract
Although acute melioidosis is the most common outcome of Burkholderia pseudomallei infection, we have documented a case, P314, where disease severity lessened with time, and the pathogen evolved towards a commensal relationship with the host. In the current study, we used whole-genome sequencing to monitor this long-term symbiotic relationship to better understand B. pseudomallei persistence in P314’s sputum despite intensive initial therapeutic regimens. We collected and sequenced 118 B. pseudomallei isolates from P314’s airways over a >16-year period, and also sampled the patient’s home environment, recovering six closely related B. pseudomallei isolates from the household water system. Using comparative genomics, we identified 126 SNPs in the core genome of the 124 isolates or 162 SNPs/indels when the accessory genome was included. The core SNPs were used to construct a phylogenetic tree, which demonstrated a close relationship between environmental and clinical isolates and detailed within-host evolutionary patterns. The phylogeny had little homoplasy, consistent with a strictly clonal mode of genetic inheritance. Repeated sampling revealed evidence of genetic diversification, but frequent extinctions left only one successful lineage through the first four years and two lineages after that. Overall, the evolution of this population is nonadaptive and best explained by genetic drift. However, some genetic and phenotypic changes are consistent with in situ adaptation. Using a mouse model, P314 isolates caused greatly reduced morbidity and mortality compared to the environmental isolates. Additionally, potentially adaptive phenotypes emerged and included differences in the O-antigen, capsular polysaccharide, motility, and colony morphology. The >13-year co-existence of two long-lived lineages presents interesting hypotheses that can be tested in future studies to provide additional insights into selective pressures, niche differentiation, and microbial adaptation. This unusual melioidosis case presents a rare example of the evolutionary progression towards commensalism by a highly virulent pathogen within a single human host. Pathogens frequently jump between different hosts, and associated adaptation may lead to the emergence of new infectious agents. Such host-jumping evolution is witnessed through endpoint analyses but these cannot capture genetic changes in lineages that have gone extinct. In this study, we have identified and monitored an example of the evolution of a bacterium often deadly to its mammalian host, in an unprecedented case whereby disease lessened through time and the pathogen became a part of the commensal human flora. We used genomic analyses to characterize more than 16 years of this evolutionary process and the stepwise mutations that control pathogen interactions with the patient. Soon after infection, mutational changes occurred that allowed the bacterium to remain in the airways without causing disease. This shift towards avirulence was determined based on clinical data and virulence testing in an animal model. In addition, mutations occurred that contributed to the persistence of the bacteria in the patient's lungs. Finally, we found evidence for the evolutionary emergence and persistence of two distinct lineages of the bacterium over the last 13 years, presenting interesting questions about niche utilization. Bacteria are ubiquitous in the human body and almost all are beneficial or benign. In this study, we document the evolutionary conversion of a normally deadly bacterium towards a commensal.
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Affiliation(s)
- Talima Pearson
- Pathogen & Microbiome Institute, Northern Arizona University, Flagstaff, Arizona, United States of America
| | - Jason W. Sahl
- Pathogen & Microbiome Institute, Northern Arizona University, Flagstaff, Arizona, United States of America
| | - Crystal M. Hepp
- Pathogen & Microbiome Institute, Northern Arizona University, Flagstaff, Arizona, United States of America
- School of Informatics, Computing, and Cyber Systems, Northern Arizona University, Flagstaff, Arizona, United States of America
| | - Karthik Handady
- Pathogen & Microbiome Institute, Northern Arizona University, Flagstaff, Arizona, United States of America
| | - Heidie Hornstra
- Pathogen & Microbiome Institute, Northern Arizona University, Flagstaff, Arizona, United States of America
| | - Adam J. Vazquez
- Pathogen & Microbiome Institute, Northern Arizona University, Flagstaff, Arizona, United States of America
| | - Erik Settles
- Pathogen & Microbiome Institute, Northern Arizona University, Flagstaff, Arizona, United States of America
| | - Mark Mayo
- Global and Tropical Health Division, Menzies School of Health Research, Darwin, Northern Territory, Australia
| | - Mirjam Kaestli
- Global and Tropical Health Division, Menzies School of Health Research, Darwin, Northern Territory, Australia
| | - Charles H. D. Williamson
- Pathogen & Microbiome Institute, Northern Arizona University, Flagstaff, Arizona, United States of America
| | - Erin P. Price
- Pathogen & Microbiome Institute, Northern Arizona University, Flagstaff, Arizona, United States of America
| | - Derek S. Sarovich
- Pathogen & Microbiome Institute, Northern Arizona University, Flagstaff, Arizona, United States of America
| | - James M. Cook
- Pathogen & Microbiome Institute, Northern Arizona University, Flagstaff, Arizona, United States of America
| | - Spenser R. Wolken
- Pathogen & Microbiome Institute, Northern Arizona University, Flagstaff, Arizona, United States of America
| | - Richard A. Bowen
- Department of Biomedical Sciences, Colorado State University, Colorado, United States of America
| | - Apichai Tuanyok
- Pathogen & Microbiome Institute, Northern Arizona University, Flagstaff, Arizona, United States of America
| | - Jeffrey T. Foster
- Pathogen & Microbiome Institute, Northern Arizona University, Flagstaff, Arizona, United States of America
| | - Kevin P. Drees
- Pathogen & Microbiome Institute, Northern Arizona University, Flagstaff, Arizona, United States of America
| | - Timothy J. Kidd
- School of Chemistry and Molecular Biosciences, University of Queensland, Brisbane, Queensland, Australia
| | - Scott C. Bell
- Department of Thoracic Medicine, The Prince Charles Hospital, Chermside, and QIMR Berghofer Medical Research Institute, Queensland, Australia
| | - Bart J. Currie
- Global and Tropical Health Division, Menzies School of Health Research, Darwin, Northern Territory, Australia
- Infectious Diseases Department and Northern Territory Medical Program, Royal Darwin Hospital, Darwin, Northern Territory, Australia
| | - Paul Keim
- Pathogen & Microbiome Institute, Northern Arizona University, Flagstaff, Arizona, United States of America
- * E-mail:
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12
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Birdsell DN, Yaglom H, Rodriguez E, Engelthaler DM, Maurer M, Gaither M, Vinocur J, Weiss J, Terriquez J, Komatsu K, Ormsby ME, Gebhardt M, Solomon C, Nienstadt L, Williamson CHD, Sahl JW, Keim PS, Wagner DM. Phylogenetic Analysis of Francisella tularensis Group A.II Isolates from 5 Patients with Tularemia, Arizona, USA, 2015-2017. Emerg Infect Dis 2019; 25:944-946. [PMID: 31002053 PMCID: PMC6478195 DOI: 10.3201/eid2505.180363] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
Abstract
We examined 5 tularemia cases in Arizona, USA, during 2015-2017. All were caused by Francisella tularensis group A.II. Genetically similar isolates were found across large spatial and temporal distances, suggesting that group A.II strains are dispersed across long distances by wind and exhibit low replication rates in the environment.
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13
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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: 8119] [Impact Index Per Article: 1623.8] [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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14
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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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15
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Williamson CHD, Stone NE, Nunnally AE, Hornstra HM, Wagner DM, Roe CC, Vazquez AJ, Nandurkar N, Vinocur J, Terriquez J, Gillece J, Travis J, Lemmer D, Keim P, Sahl JW. A global to local genomics analysis of Clostridioides difficile ST1/RT027 identifies cryptic transmission events in a northern Arizona healthcare network. Microb Genom 2019; 5:e000271. [PMID: 31107202 PMCID: PMC6700662 DOI: 10.1099/mgen.0.000271] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2019] [Accepted: 04/04/2019] [Indexed: 12/15/2022] Open
Abstract
Clostridioides difficile is a ubiquitous, diarrhoeagenic pathogen often associated with healthcare-acquired infections that can cause a range of symptoms from mild, self-limiting disease to toxic megacolon and death. Since the early 2000s, a large proportion of C. difficile cases have been attributed to the ribotype 027 (RT027) lineage, which is associated with sequence type 1 (ST1) in the C. difficile multilocus sequence typing scheme. The spread of ST1 has been attributed, in part, to resistance to fluoroquinolones used to treat unrelated infections, which creates conditions ideal for C. difficile colonization and proliferation. In this study, we analysed 27 isolates from a healthcare network in northern Arizona, USA, and 1352 publicly available ST1 genomes to place locally sampled isolates into a global context. Whole genome, single nucleotide polymorphism analysis demonstrated that at least six separate introductions of ST1 were observed in healthcare facilities in northern Arizona over an 18-month sampling period. A reconstruction of transmission networks identified potential nosocomial transmission of isolates, which were only identified via whole genome sequence analysis. Antibiotic resistance heterogeneity was observed among ST1 genomes, including variability in resistance profiles among locally sampled ST1 isolates. To investigate why ST1 genomes are so common globally and in northern Arizona, we compared all high-quality C. difficile genomes and identified that ST1 genomes have gained and lost a number of genomic regions compared to all other C. difficile genomes; analyses of other toxigenic C. difficile sequence types demonstrate that this loss may be anomalous and could be related to niche specialization. These results suggest that a combination of antimicrobial resistance and gain and loss of specific genes may explain the prominent association of this sequence type with C. difficile infection cases worldwide. The degree of genetic variability in ST1 suggests that classifying all ST1 genomes into a quinolone-resistant hypervirulent clone category may not be appropriate. Whole genome sequencing of clinical C. difficile isolates provides a high-resolution surveillance strategy for monitoring persistence and transmission of C. difficile and for assessing the performance of infection prevention and control strategies.
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Affiliation(s)
| | - Nathan E. Stone
- Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ 86011, USA
| | - Amalee E. Nunnally
- Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ 86011, USA
| | - Heidie M. Hornstra
- Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ 86011, USA
| | - David M. Wagner
- Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ 86011, USA
| | - Chandler C. Roe
- Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ 86011, USA
| | - Adam J. Vazquez
- Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ 86011, USA
| | - Nivedita Nandurkar
- Northern Arizona Healthcare, Flagstaff Medical Center, Flagstaff, AZ 86001, USA
| | - Jacob Vinocur
- Northern Arizona Healthcare, Flagstaff Medical Center, Flagstaff, AZ 86001, USA
| | - Joel Terriquez
- Northern Arizona Healthcare, Flagstaff Medical Center, Flagstaff, AZ 86001, USA
| | - John Gillece
- Translational Genomics Research Institute, Flagstaff, AZ 86001, USA
| | - Jason Travis
- Translational Genomics Research Institute, Flagstaff, AZ 86001, USA
| | - Darrin Lemmer
- Translational Genomics Research Institute, Flagstaff, AZ 86001, USA
| | - Paul Keim
- Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ 86011, USA
| | - Jason W. Sahl
- Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ 86011, USA
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16
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Stone NE, Nunnally AE, Jimenez V, Cope EK, Sahl JW, Sheridan K, Hornstra HM, Vinocur J, Settles EW, Headley KC, Williamson CHD, Rideout JR, Bolyen E, Caporaso JG, Terriquez J, Monroy FP, Busch JD, Keim P, Wagner DM. Domestic canines do not display evidence of gut microbial dysbiosis in the presence of Clostridioides (Clostridium) difficile, despite cellular susceptibility to its toxins. Anaerobe 2019; 58:53-72. [PMID: 30946985 DOI: 10.1016/j.anaerobe.2019.03.017] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2018] [Revised: 03/11/2019] [Accepted: 03/25/2019] [Indexed: 12/14/2022]
Abstract
Clostridioides difficile infection (CDI) is an emerging public health threat and C. difficile is the most common cause of antimicrobial-associated diarrhea worldwide and the leading cause of hospital-associated infections in the US, yet the burden of community-acquired infections (CAI) is poorly understood. Characterizing C. difficile isolated from canines is important for understanding the role that canines may play in CAI. In addition, several studies have suggested that canines carry toxigenic C. difficile asymptomatically, which may imply that there are mechanisms responsible for resistance to CDI in canines that could be exploited to help combat human CDI. To assess the virulence potential of canine-derived C. difficile, we tested whether toxins TcdA and TcdB (hereafter toxins) derived from a canine isolate were capable of causing tight junction disruptions to colonic epithelial cells. Additionally, we addressed whether major differences exist between human and canine cells regarding C. difficile pathogenicity by exposing them to identical toxins. We then examined the canine gut microbiome associated with C. difficile carriage using 16S rRNA gene sequencing and searched for deviations from homeostasis as an indicator of CDI. Finally, we queried 16S rRNA gene sequences for bacterial taxa that may be associated with resistance to CDI in canines. Clostridioides difficile isolated from a canine produced toxins that reduced tight junction integrity in both human and canine cells in vitro. However, canine guts were not dysbiotic in the presence of C. difficile. These findings support asymptomatic carriage in canines and, furthermore, suggest that there are features of the gut microbiome and/or a canine-specific immune response that may protect canines against CDI. We identified two biologically relevant bacteria that may aid in CDI resistance in canines: 1) Clostridium hiranonis, which synthesizes secondary bile acids that have been shown to provide resistance to CDI in mice; and 2) Sphingobacterium faecium, which produces sphingophospholipids that may be associated with regulating homeostasis in the canine gut. Our findings suggest that canines may be cryptic reservoirs for C. difficile and, furthermore, that mechanisms of CDI resistance in the canine gut could provide insights into targeted therapeutics for human CDI.
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Affiliation(s)
- Nathan E Stone
- Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ, 86011, USA.
| | - Amalee E Nunnally
- Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ, 86011, USA.
| | - Victor Jimenez
- Department of Biological Sciences, Northern Arizona University, Flagstaff, AZ, 86011, USA.
| | - Emily K Cope
- Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ, 86011, USA.
| | - Jason W Sahl
- Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ, 86011, USA; Department of Biological Sciences, Northern Arizona University, Flagstaff, AZ, 86011, USA.
| | - Krystal Sheridan
- Translational Genomics Research Institute, Flagstaff, AZ, 86001, USA.
| | - Heidie M Hornstra
- Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ, 86011, USA.
| | - Jacob Vinocur
- Northern Arizona Healthcare, Flagstaff Medical Center, Flagstaff, AZ, 86001, USA.
| | - Erik W Settles
- Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ, 86011, USA; Department of Biological Sciences, Northern Arizona University, Flagstaff, AZ, 86011, USA.
| | - Kyle C Headley
- Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ, 86011, USA.
| | - Charles H D Williamson
- Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ, 86011, USA.
| | - Jai Ram Rideout
- Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ, 86011, USA.
| | - Evan Bolyen
- Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ, 86011, USA.
| | - J Gregory Caporaso
- Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ, 86011, USA.
| | - Joel Terriquez
- Northern Arizona Healthcare, Flagstaff Medical Center, Flagstaff, AZ, 86001, USA.
| | - Fernando P Monroy
- Department of Biological Sciences, Northern Arizona University, Flagstaff, AZ, 86011, USA.
| | - Joseph D Busch
- Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ, 86011, USA.
| | - Paul Keim
- Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ, 86011, USA; Department of Biological Sciences, Northern Arizona University, Flagstaff, AZ, 86011, USA; Translational Genomics Research Institute, Flagstaff, AZ, 86001, USA
| | - David M Wagner
- Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ, 86011, USA; Department of Biological Sciences, Northern Arizona University, Flagstaff, AZ, 86011, USA.
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17
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Vogler AJ, Sahl JW, Leal NC, Sobreira M, Williamson CHD, Bollig MC, Birdsell DN, Rivera A, Thompson B, Nottingham R, Rezende AM, Keim P, Almeida AMP, Wagner DM. A single introduction of Yersinia pestis to Brazil during the 3rd plague pandemic. PLoS One 2019; 14:e0209478. [PMID: 30625164 PMCID: PMC6326411 DOI: 10.1371/journal.pone.0209478] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [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: 04/25/2018] [Accepted: 12/06/2018] [Indexed: 12/30/2022] Open
Abstract
Yersinia pestis was introduced to Brazil during the third plague pandemic and currently exists in several recognized foci. There is currently limited available phylogeographic data regarding Y. pestis in Brazil. We generated whole genome sequences for 411 Y. pestis strains from six Brazilian foci to investigate the phylogeography of Y. pestis in Brazil; these strains were isolated from 1966 to 1997. All 411 strains were assigned to a single monophyletic clade within the 1.ORI population, indicating a single Y. pestis introduction was responsible for the successful establishment of endemic foci in Brazil. There was a moderate level of genomic diversity but little population structure among the 411 Brazilian Y. pestis strains, consistent with a radial expansion wherein Y. pestis spread rapidly from the coast to the interior of Brazil and became ecologically established. Overall, there were no strong spatial or temporal patterns among the Brazilian strains. However, strains from the same focus tended to be more closely related and strains isolated from foci closer to the coast tended to fall in more basal positions in the whole genome phylogeny than strains from more interior foci. Overall, the patterns observed in Brazil are similar to other locations affected during the 3rd plague pandemic such as in North America and Madagascar.
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Affiliation(s)
- Amy J. Vogler
- The Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, Arizona, United States of America
| | - Jason W. Sahl
- The Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, Arizona, United States of America
| | - Nilma C. Leal
- Institute Aggeu Magalhães, Recife, Pernambuco, Brazil
| | | | - Charles H. D. Williamson
- The Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, Arizona, United States of America
| | - Molly C. Bollig
- The Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, Arizona, United States of America
| | - Dawn N. Birdsell
- The Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, Arizona, United States of America
| | - Andrew Rivera
- The Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, Arizona, United States of America
| | - Brian Thompson
- The Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, Arizona, United States of America
| | - Roxanne Nottingham
- The Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, Arizona, United States of America
| | | | - Paul Keim
- The Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, Arizona, United States of America
- Translational Genomics Research Institute North, Flagstaff, Arizona, United States of America
| | | | - David M. Wagner
- The Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, Arizona, United States of America
- * E-mail: (DMW); (AMPA)
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Boehmer T, Vogler AJ, Thomas A, Sauer S, Hergenroether M, Straubinger RK, Birdsell D, Keim P, Sahl JW, Williamson CHD, Riehm JM. Phenotypic characterization and whole genome analysis of extended-spectrum beta-lactamase-producing bacteria isolated from dogs in Germany. PLoS One 2018; 13:e0206252. [PMID: 30365516 PMCID: PMC6203360 DOI: 10.1371/journal.pone.0206252] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [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: 07/06/2018] [Accepted: 10/09/2018] [Indexed: 12/30/2022] Open
Abstract
Asymptomatic colonization with extended-spectrum beta-lactamase (ESBL) producing Enterobacteriaceae has been described for humans, various mammal species, and birds. Here, antimicrobial resistant bacteria were recovered from dog feces originating in Germany, Kosovo, Afghanistan, Croatia, and Ukraine, with a subset of mostly E. coli isolates obtained from a longitudinal collection over twelve months. In vitro antimicrobial resistance testing revealed various patterns of resistance against single or all investigated beta-lactam antibiotics, with none of the 101 isolates resistant against two tested carbapenem antibiotics. Whole genome sequence analysis revealed bacteria species-specific patterns for 23 antimicrobial resistance coding DNA sequences (CDS) that were unapparent from the in vitro analysis alone. Phylogenetic analysis of single nucleotide polymorphisms (SNP) revealed clonal bacterial isolates originating from different dogs, suggesting transmission between dogs in the same community. However, individual resistant E. coli clones were not detected over a period longer than seven days. Multi locus sequence typing (MLST) of 85 E. coli isolates revealed 31 different sequence types (ST) with an accumulation of ST744 (n = 9), ST10 (n = 8), and ST648 (n = 6), although the world-wide hospital-associated CTX-M beta-lactamase producing ST131 was not detected. Neither the antimicrobial resistance CDSs patterns nor the phylogenetic analysis revealed an epidemiological correlation among the longitudinal isolates collected from a period longer than seven days. No genetic linkage could be associated with the geographic origin of isolates. In conclusion, healthy dogs frequently carry ESBL-producing bacteria, independent to prior treatment, which may be transmitted between individual dogs of the same community. Otherwise, these antimicrobial resistant bacteria share few commonalities, making their presence eerily unpredictable.
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Affiliation(s)
- Tim Boehmer
- Central Institute of the Bundeswehr Medical Service Munich, Garching, Bavaria, Germany
| | - Amy J. Vogler
- The Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, Arizona, United States of America
| | - Astrid Thomas
- Institute of Infectious Diseases and Zoonoses, Department of Veterinary Sciences, Faculty of Veterinary Medicine, Ludwig-Maximilian University, Munich, Germany
| | | | - Markus Hergenroether
- Central Institute of the Bundeswehr Medical Service Munich, Garching, Bavaria, Germany
| | - Reinhard K. Straubinger
- Institute of Infectious Diseases and Zoonoses, Department of Veterinary Sciences, Faculty of Veterinary Medicine, Ludwig-Maximilian University, Munich, Germany
| | - Dawn Birdsell
- The Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, Arizona, United States of America
| | - Paul Keim
- The Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, Arizona, United States of America
| | - Jason W. Sahl
- The Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, Arizona, United States of America
| | - Charles H. D. Williamson
- The Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, Arizona, United States of America
| | - Julia M. Riehm
- Central Institute of the Bundeswehr Medical Service Munich, Garching, Bavaria, Germany
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19
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Deatherage Kaiser BL, Hill KK, Smith TJ, Williamson CHD, Keim P, Sahl JW, Wahl KL. Proteomic analysis of four Clostridium botulinum strains identifies proteins that link biological responses to proteomic signatures. PLoS One 2018; 13:e0205586. [PMID: 30321210 PMCID: PMC6188780 DOI: 10.1371/journal.pone.0205586] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [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: 01/23/2018] [Accepted: 09/27/2018] [Indexed: 12/12/2022] Open
Abstract
Microorganisms alter gene and protein expression in response to environmental conditions to adapt and survive. Whereas the genetic composition of a microbe represents an organism's biological potential, the proteins expressed provide a functional readout of the organism's response to the environment. Understanding protein expression patterns in response to specific environmental conditions furthers fundamental knowledge about a microbe, which can be especially useful for understudied organisms such as Clostridium botulinum examined herein. In addition, protein expression patterns that reproducibly occur in certain growth conditions hold potential in fields such as microbial forensics, in which determination of conditions in which an unknown possible biothreat sample had been grown may be important. To investigate the identity and reproducibility of protein profile patterns for varied strains, we defined the proteomic profiles of four Group I strains of Clostridium botulinum, a Category A biothreat agent and the organism responsible for the production of the botulinum neurotoxin (BoNT), in two different culture media grown for five days. The four C. botulinum strains produced one of three neurotoxins (BoNT/A, /B, or /F), and their protein profiles were compared to that of a fifth non-toxigenic strain of C. sporogenes. These strains each had DNA sequences available to assist in accurate protein identification. Differing culture growth phase, bacterial strain, and growth medium resulted in reproducible protein profiles, which were used to calculate relative protein abundance ratios as an internally normalized metric of microbial growth in varying conditions. The resulting protein profiles provide functional information about how four Group I C. botulinum strains and a C. sporogenes strain respond to the culture environment during growth and explores the feasibility of using these proteins to characterize unknown samples.
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Affiliation(s)
- Brooke L. Deatherage Kaiser
- Chemical and Biological Signature Science Group, Pacific Northwest National Laboratory, Richland, Washington, United States of America
- * E-mail:
| | - Karen K. Hill
- Bioscience Division, Los Alamos National Laboratory, Los Alamos, New Mexico, United States of America
| | - Theresa J. Smith
- Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, Arizona, United States of America
| | - Charles H. D. Williamson
- Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, Arizona, United States of America
| | - Paul Keim
- Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, Arizona, United States of America
| | - Jason W. Sahl
- Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, Arizona, United States of America
| | - Karen L. Wahl
- Chemical and Biological Signature Science Group, Pacific Northwest National Laboratory, Richland, Washington, United States of America
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20
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Williamson CHD, Wagner DM, Keim P, Sahl JW. Developing Inclusivity and Exclusivity Panels for Testing Diagnostic and Detection Tools Targeting Burkholderia pseudomallei, the Causative Agent of Melioidosis. J AOAC Int 2018; 101:1920-1926. [PMID: 29678218 DOI: 10.5740/jaoacint.18-0014] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Background: Diagnostic tools designed to target Burkholderia pseudomallei, the causative agent of melioidosis that was classified as a Tier 1 Select Agent by the U.S. Centers for Disease Control and Prevention, have typically suffered from false-positive and false-negative results because of a lack of understanding of the genomic diversity of B. pseudomallei and its genetic near neighbors. Objective: In this review, we discuss a strategy for using comparative genomics to guide the design of inclusivity and exclusivity panels for the validation of assays as defined by the Standard Method Performance Requirement (SMPR). Methods: Based upon a literature review, comparative genomic analyses, and hands-on experience with diagnostic development and testing, we describe important factors to consider when developing inclusivity and exclusivity panels for testing diagnostic and/or detection tools. Results: The genomic diversity of B. pseudomallei is substantial, with the genome characterized by horizontal gene transfer, including the acquisition of genomic islands from near-neighbor species. This genomic diversity, core genome reduction, and signal erosion can complicate molecular diagnostic tool development and validation. Conclusions: Accurate diagnostic and/or detection tools targeting B. pseudomallei, an important pathogen from a public health and biodefense perspective, are needed for many applications. Utilizing whole genome sequencing data and comparative genomic techniques can guide the development and validation of such tools. Amplicon sequencing assays and assay redundancy can provide improved assay performance. Highlights: When developing and validating diagnostic and/or detection tools targeting B. pseudomallei, it is important to consider genomic diversity, genome reduction, and signal erosion to reduce the effects of typical diagnostic errors.
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Affiliation(s)
- Charles H D Williamson
- Northern Arizona University, The Pathogen & Microbiome Institute, Flagstaff, AZ 86011-4073
| | - David M Wagner
- Northern Arizona University, The Pathogen & Microbiome Institute, Flagstaff, AZ 86011-4073
| | - Paul Keim
- Northern Arizona University, The Pathogen & Microbiome Institute, Flagstaff, AZ 86011-4073
| | - Jason W Sahl
- Northern Arizona University, The Pathogen & Microbiome Institute, Flagstaff, AZ 86011-4073
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21
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Walker FM, Williamson CHD, Sanchez DE, Sobek CJ, Chambers CL. Species From Feces: Order-Wide Identification of Chiroptera From Guano and Other Non-Invasive Genetic Samples. PLoS One 2016; 11:e0162342. [PMID: 27654850 PMCID: PMC5031397 DOI: 10.1371/journal.pone.0162342] [Citation(s) in RCA: 42] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2016] [Accepted: 08/22/2016] [Indexed: 11/25/2022] Open
Abstract
Bat guano is a relatively untapped reservoir of information, having great utility as a DNA source because it is often available at roosts even when bats are not and is an easy type of sample to collect from a difficult-to-study mammalian order. Recent advances from microbial community studies in primer design, sequencing, and analysis enable fast, accurate, and cost-effective species identification. Here, we borrow from this discipline to develop an order-wide DNA mini-barcode assay (Species from Feces) based on a segment of the mitochondrial gene cytochrome c oxidase I (COI). The assay works effectively with fecal DNA and is conveniently transferable to low-cost, high-throughput Illumina MiSeq technology that also allows simultaneous pairing with other markers. Our PCR primers target a region of COI that is highly discriminatory among Chiroptera (92% species-level identification of barcoded species), and are sufficiently degenerate to allow hybridization across diverse bat taxa. We successfully validated our system with 54 bat species across both suborders. Despite abundant arthropod prey DNA in guano, our primers were highly specific to bats; no arthropod DNA was detected in thousands of feces run on Sanger and Illumina platforms. The assay is extendable to fecal pellets of unknown age as well as individual and pooled guano, to allow for individual (using singular fecal pellets) and community (using combined pellets collected from across long-term roost sites) analyses. We developed a searchable database (http://nau.edu/CEFNS/Forestry/Research/Bats/Search-Tool/) that allows users to determine the discriminatory capability of our markers for bat species of interest. Our assay has applications worldwide for examining disease impacts on vulnerable species, determining species assemblages within roosts, and assessing the presence of bat species that are vulnerable or facing extinction. The development and analytical pathways are rapid, reliable, and inexpensive, and can be applied to ecology and conservation studies of other taxa.
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Affiliation(s)
- Faith M. Walker
- Bat Ecology & Genetics Laboratory, School of Forestry, Northern Arizona University, Flagstaff, Arizona, United States of America
- Center for Microbial Genetics and Genomics, Northern Arizona University, Flagstaff, Arizona, United States of America
| | - Charles H. D. Williamson
- Center for Microbial Genetics and Genomics, Northern Arizona University, Flagstaff, Arizona, United States of America
| | - Daniel E. Sanchez
- Bat Ecology & Genetics Laboratory, School of Forestry, Northern Arizona University, Flagstaff, Arizona, United States of America
- Center for Microbial Genetics and Genomics, Northern Arizona University, Flagstaff, Arizona, United States of America
| | - Colin J. Sobek
- Bat Ecology & Genetics Laboratory, School of Forestry, Northern Arizona University, Flagstaff, Arizona, United States of America
- Center for Microbial Genetics and Genomics, Northern Arizona University, Flagstaff, Arizona, United States of America
| | - Carol L. Chambers
- Bat Ecology & Genetics Laboratory, School of Forestry, Northern Arizona University, Flagstaff, Arizona, United States of America
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22
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Williamson CHD, Sahl JW, Smith TJ, Xie G, Foley BT, Smith LA, Fernández RA, Lindström M, Korkeala H, Keim P, Foster J, Hill K. Comparative genomic analyses reveal broad diversity in botulinum-toxin-producing Clostridia. BMC Genomics 2016; 17:180. [PMID: 26939550 PMCID: PMC4778365 DOI: 10.1186/s12864-016-2502-z] [Citation(s) in RCA: 62] [Impact Index Per Article: 7.8] [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] [Received: 09/30/2015] [Accepted: 02/18/2016] [Indexed: 11/24/2022] Open
Abstract
Background Clostridium botulinum is a diverse group of bacteria characterized by the production of botulinum neurotoxin. Botulinum neurotoxins are classified into serotypes (BoNT/A–G), which are produced by six species/Groups of Clostridia, but the genetic background of the bacteria remains poorly understood. The purpose of this study was to use comparative genomics to provide insights into the genetic diversity and evolutionary history of bacteria that produce the potent botulinum neurotoxin. Results Comparative genomic analyses of over 170 Clostridia genomes, including our draft genome assemblies for 59 newly sequenced Clostridia strains from six continents and publicly available genomic data, provided in-depth insights into the diversity and distribution of BoNT-producing bacteria. These newly sequenced strains included Group I and II strains that express BoNT/A,/B,/E, or/F as well as bivalent strains. BoNT-producing Clostridia and closely related Clostridia species were delineated with a variety of methods including 16S rRNA gene, concatenated marker genes, core genome and concatenated multi-locus sequencing typing (MLST) gene phylogenies that related whole genome sequenced strains to publicly available strains and sequence types. These analyses illustrated the phylogenetic diversity in each Group and the diversity of genomic backgrounds that express the same toxin type or subtype. Comparisons of the botulinum neurotoxin genes did not identify novel toxin types or variants. Conclusions This study represents one of the most comprehensive analyses of whole genome sequence data for Group I and II BoNT-producing strains. Read data and draft genome assemblies generated for 59 isolates will be a resource to the research community. Core genome phylogenies proved to be a powerful tool for differentiating BoNT-producing strains and can provide a framework for the study of these bacteria. Comparative genomic analyses of Clostridia species illustrate the diversity of botulinum-neurotoxin-producing strains and the plasticity of the genomic backgrounds in which bont genes are found. Electronic supplementary material The online version of this article (doi:10.1186/s12864-016-2502-z) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Charles H D Williamson
- Center for Microbial Genetics and Genomics, Northern Arizona University, Flagstaff, AZ, 86011, USA.
| | - Jason W Sahl
- Center for Microbial Genetics and Genomics, Northern Arizona University, Flagstaff, AZ, 86011, USA.
| | - Theresa J Smith
- Molecular and Translational Sciences Division, United States Army Medical Research Institute of Infectious Diseases, Fort Detrick, MD, 21702, USA.
| | - Gary Xie
- Bioscience Division, Los Alamos National Laboratory, Los Alamos, NM, 87545, USA.
| | - Brian T Foley
- Theoretical Division, Los Alamos National Laboratory, Los Alamos, NM, 87545, USA.
| | - Leonard A Smith
- Medical Countermeasures Technology, United States Army Medical Research and Material Command, United States Army Medical Research Institute of Infectious Diseases, Fort Detrick, MD, 21702, USA.
| | - Rafael A Fernández
- Área Microbiología, Departamento de Patología, Facultad de Ciencias Médicas, Universidad Nacional de Cuyo, Centro Universitario, (5500), Mendoza, Argentina.
| | - Miia Lindström
- Department of Food Hygiene and Environmental Health, University of Helsinki, Helsinki, Finland.
| | - Hannu Korkeala
- Department of Food Hygiene and Environmental Health, University of Helsinki, Helsinki, Finland.
| | - Paul Keim
- Center for Microbial Genetics and Genomics, Northern Arizona University, Flagstaff, AZ, 86011, USA.
| | - Jeffrey Foster
- Center for Microbial Genetics and Genomics, Northern Arizona University, Flagstaff, AZ, 86011, USA. .,Present Address: Department of Molecular, Cellular and Biomedical Sciences, University of New Hampshire, Durham, NH, 03824, USA.
| | - Karen Hill
- Bioscience Division, Los Alamos National Laboratory, Los Alamos, NM, 87545, USA.
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