| Literature DB >> 29617860 |
Gregory H Tyson1, Jonathan L Sabo1, Crystal Rice-Trujillo1, Jacqueline Hernandez1, Patrick F McDermott1.
Abstract
Whole-genome sequencing (WGS) has transformed our understanding of antimicrobial resistance, yielding new insights into the genetics underlying resistance. To date, most studies using WGS to study antimicrobial resistance have focused on gram-negative bacteria in the family Enterobacteriaceae, such as Salmonella spp. and Escherichia coli, which have well-defined resistance mechanisms. In contrast, relatively few studies have been performed on gram-positive organisms. We sequenced 197 strains of Enterococcus from various animal and food sources, including 100 Enterococcus faecium and 97 E. faecalis. From analyzing acquired resistance genes and known resistance-associated mutations, we found that resistance genotypes correlated with resistance phenotypes in 96.5% of cases for the 11 drugs investigated. Some resistances, such as those to tigecycline and daptomycin, could not be investigated due to a lack of knowledge of mechanisms underlying these phenotypes. This study showed the utility of WGS for predicting antimicrobial resistance based on genotype alone.Entities:
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Year: 2018 PMID: 29617860 DOI: 10.1093/femspd/fty018
Source DB: PubMed Journal: Pathog Dis ISSN: 2049-632X Impact factor: 3.166