2016
DOI: 10.1128/aem.02873-15
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Whole-Genome Sequencing Analysis Accurately Predicts Antimicrobial Resistance Phenotypes in Campylobacter spp

Abstract: The objectives of this study were to identify antimicrobial resistance genotypes for Campylobacter and to evaluate the correlation between resistance phenotypes and genotypes using in vitro antimicrobial susceptibility testing and whole-genome sequencing (WGS). A total of 114 Campylobacter species isolates (82 C. coli and 32 C. jejuni) obtained from 2000 to 2013 from humans, retail meats, and cecal samples from food production animals in the United States as part of the National Antimicrobial Resistance Monito… Show more

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Cited by 220 publications
(213 citation statements)
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“…The ability to predict AMR phenotype from WGS data with high sensitivity and specificity has previously been observed in Salmonella enterica isolated from humans and retail meats (27) and S. Typhimurium from swine (28), as well as in other organisms, including Staphylococcus aureus (29,30) Campylobacter spp. (31), and Mycobacterium tuberculosis (30). The results of our study further attest to the robustness of WGS in predicting resistance phenotypes in Salmonella enterica serotypes Typhimurium, Newport, and Dublin from both bovine and human sources.…”
Section: Discussionmentioning
confidence: 61%
“…The ability to predict AMR phenotype from WGS data with high sensitivity and specificity has previously been observed in Salmonella enterica isolated from humans and retail meats (27) and S. Typhimurium from swine (28), as well as in other organisms, including Staphylococcus aureus (29,30) Campylobacter spp. (31), and Mycobacterium tuberculosis (30). The results of our study further attest to the robustness of WGS in predicting resistance phenotypes in Salmonella enterica serotypes Typhimurium, Newport, and Dublin from both bovine and human sources.…”
Section: Discussionmentioning
confidence: 61%
“…Zhao et al (86) recently found that the Campylobacter genotype, using WGS, is predictive of antibiotic resistance phenotypes using 114 isolates of Campylobacter (C. jejuni and C. coli) and 18 antibiotic resistance genes. They found between 95% and 100% correlation to phenotype.…”
Section: Discussionmentioning
confidence: 99%
“…For most bacteria, the evidence for using WGS to infer antimicrobial susceptibility data is sparse, although some studies have shown a high correlation between resistance phenotypes and the presence of resistance genes or resistance-associated mutations. This agreement has been best demonstrated with enteric bacteria, including Escherichia coli, Campylobacter spp., and nontyphoidal Salmonella (8)(9)(10)(11)(12). In addition, other DNAbased methods have been used to detect resistance determinants and even guide therapy for infections caused by Mycobacterium tuberculosis, Staphylococcus aureus, HIV, and other pathogens (13)(14)(15).…”
mentioning
confidence: 99%