Chrissy D Eckstrand, Brandi K Torrevillas, Rebecca M Wolking, Marla Francis, Laura B Goodman, Olgica Ceric, Trevor L Alexander, Kevin R Snekvik, Claire R Burbick
{"title":"Genomic characterization of antimicrobial resistance in 61 aquatic bacterial isolates.","authors":"Chrissy D Eckstrand, Brandi K Torrevillas, Rebecca M Wolking, Marla Francis, Laura B Goodman, Olgica Ceric, Trevor L Alexander, Kevin R Snekvik, Claire R Burbick","doi":"10.1177/10406387241241042","DOIUrl":null,"url":null,"abstract":"<p><p>Antimicrobial resistance (AMR) in pathogens important to aquatic animal health is of increasing concern but vastly understudied. Antimicrobial therapy is used to both treat and prevent bacterial disease in fish and is critical for a viable aquaculture industry and for maintenance of wild fish populations. Unfortunately, phenotypic antimicrobial susceptibility testing is technically difficult for bacteria recovered from aquatic animal hosts resulting in challenges in resistance monitoring using traditional methods. Whole-genome sequencing provides an appealing methodology for investigation of putative resistance. As part of the ongoing efforts of the FDA CVM Vet-LIRN to monitor AMR, source laboratories cultured and preliminarily identified pathogenic bacteria isolated from various fish species collected in 2019 from across the United States. Sixty-one bacterial isolates were evaluated using whole-genome sequencing. We present here the assembled draft genomes, AMR genes, predicted resistance phenotypes, and virulence factors of the 61 isolates and discuss concurrence of the identifications made by source laboratories using matrix-assisted laser desorption/time-of-flight mass spectrometry.</p>","PeriodicalId":17579,"journal":{"name":"Journal of Veterinary Diagnostic Investigation","volume":null,"pages":null},"PeriodicalIF":1.2000,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11110781/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Veterinary Diagnostic Investigation","FirstCategoryId":"97","ListUrlMain":"https://doi.org/10.1177/10406387241241042","RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/4/2 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"VETERINARY SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
Antimicrobial resistance (AMR) in pathogens important to aquatic animal health is of increasing concern but vastly understudied. Antimicrobial therapy is used to both treat and prevent bacterial disease in fish and is critical for a viable aquaculture industry and for maintenance of wild fish populations. Unfortunately, phenotypic antimicrobial susceptibility testing is technically difficult for bacteria recovered from aquatic animal hosts resulting in challenges in resistance monitoring using traditional methods. Whole-genome sequencing provides an appealing methodology for investigation of putative resistance. As part of the ongoing efforts of the FDA CVM Vet-LIRN to monitor AMR, source laboratories cultured and preliminarily identified pathogenic bacteria isolated from various fish species collected in 2019 from across the United States. Sixty-one bacterial isolates were evaluated using whole-genome sequencing. We present here the assembled draft genomes, AMR genes, predicted resistance phenotypes, and virulence factors of the 61 isolates and discuss concurrence of the identifications made by source laboratories using matrix-assisted laser desorption/time-of-flight mass spectrometry.
期刊介绍:
The Journal of Veterinary Diagnostic Investigation (J Vet Diagn Invest) is an international peer-reviewed journal published bimonthly in English by the American Association of Veterinary Laboratory Diagnosticians (AAVLD). JVDI is devoted to all aspects of veterinary laboratory diagnostic science including the major disciplines of anatomic pathology, bacteriology/mycology, clinical pathology, epidemiology, immunology, laboratory information management, molecular biology, parasitology, public health, toxicology, and virology.