Population Genomics of Reduced Vancomycin Susceptibility in Staphylococcus aureus
The emergence and spread of antibiotic resistance among bacterial pathogens are two of the gravest threats to public health facing the world today. We report the development and application of a novel population genomic technique aimed at uncovering the evolutionary dynamics and genetic determinants...
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American Society for Microbiology
2016
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pubmed-49548672016-07-21 Population Genomics of Reduced Vancomycin Susceptibility in Staphylococcus aureus Rishishwar, Lavanya Kraft, Colleen S. Jordan, I. King Research Article The emergence and spread of antibiotic resistance among bacterial pathogens are two of the gravest threats to public health facing the world today. We report the development and application of a novel population genomic technique aimed at uncovering the evolutionary dynamics and genetic determinants of antibiotic resistance in Staphylococcus aureus. This method was applied to S. aureus cultures isolated from a single patient who showed decreased susceptibility to the vancomycin antibiotic over time. Our approach relies on the increased resolution afforded by next-generation genome-sequencing technology, and it allowed us to discover a number of S. aureus mutations, in both known and novel gene targets, which appear to have evolved under adaptive pressure to evade vancomycin mechanisms of action. The approach we lay out in this work can be applied to resistance to any number of antibiotics across numerous species of bacterial pathogens. American Society for Microbiology 2016-07-20 /pmc/articles/PMC4954867/ /pubmed/27446992 http://dx.doi.org/10.1128/mSphere.00094-16 Text en Copyright © 2016 Rishishwar et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license (http://creativecommons.org/licenses/by/4.0/) . |
repository_type |
Open Access Journal |
institution_category |
Foreign Institution |
institution |
US National Center for Biotechnology Information |
building |
NCBI PubMed |
collection |
Online Access |
language |
English |
format |
Online |
author |
Rishishwar, Lavanya Kraft, Colleen S. Jordan, I. King |
spellingShingle |
Rishishwar, Lavanya Kraft, Colleen S. Jordan, I. King Population Genomics of Reduced Vancomycin Susceptibility in Staphylococcus aureus |
author_facet |
Rishishwar, Lavanya Kraft, Colleen S. Jordan, I. King |
author_sort |
Rishishwar, Lavanya |
title |
Population Genomics of Reduced Vancomycin Susceptibility in Staphylococcus aureus |
title_short |
Population Genomics of Reduced Vancomycin Susceptibility in Staphylococcus aureus |
title_full |
Population Genomics of Reduced Vancomycin Susceptibility in Staphylococcus aureus |
title_fullStr |
Population Genomics of Reduced Vancomycin Susceptibility in Staphylococcus aureus |
title_full_unstemmed |
Population Genomics of Reduced Vancomycin Susceptibility in Staphylococcus aureus |
title_sort |
population genomics of reduced vancomycin susceptibility in staphylococcus aureus |
description |
The emergence and spread of antibiotic resistance among bacterial pathogens are two of the gravest threats to public health facing the world today. We report the development and application of a novel population genomic technique aimed at uncovering the evolutionary dynamics and genetic determinants of antibiotic resistance in Staphylococcus aureus. This method was applied to S. aureus cultures isolated from a single patient who showed decreased susceptibility to the vancomycin antibiotic over time. Our approach relies on the increased resolution afforded by next-generation genome-sequencing technology, and it allowed us to discover a number of S. aureus mutations, in both known and novel gene targets, which appear to have evolved under adaptive pressure to evade vancomycin mechanisms of action. The approach we lay out in this work can be applied to resistance to any number of antibiotics across numerous species of bacterial pathogens. |
publisher |
American Society for Microbiology |
publishDate |
2016 |
url |
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4954867/ |
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1613612538575978496 |