Understanding, predicting and manipulating the genotypic evolution of antibiotic resistance

Adam C. Palmer; Kishony Roy

doi:10.1038/nrg3351

Understanding, predicting and manipulating the genotypic evolution of antibiotic resistance

Adam C. Palmer, Kishony Roy

Biology

Technion - Israel Institute of Technology

Research output: Contribution to journal › Article › peer-review

Abstract

The evolution of antibiotic resistance can now be rapidly tracked with high-throughput technologies for bacterial genotyping and phenotyping. Combined with new approaches to evolve resistance in the laboratory and to characterize clinically evolved resistant pathogens, these methods are revealing the molecular basis and rate of evolution of antibiotic resistance under treatment regimens of single drugs or drug combinations. In this Progress article, we review these new tools for studying the evolution of antibiotic resistance and discuss how the genomic and evolutionary insights they provide could transform the diagnosis, treatment and predictability of antibiotic resistance in bacterial infections.

Original language	English
Pages (from-to)	243-248
Number of pages	6
Journal	Nature Reviews Genetics
Volume	14
Issue number	4
DOIs	https://doi.org/10.1038/nrg3351
State	Published - Apr 2013

All Science Journal Classification (ASJC) codes

Molecular Biology
Genetics
Genetics(clinical)

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10.1038/nrg3351

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title = "Understanding, predicting and manipulating the genotypic evolution of antibiotic resistance",

abstract = "The evolution of antibiotic resistance can now be rapidly tracked with high-throughput technologies for bacterial genotyping and phenotyping. Combined with new approaches to evolve resistance in the laboratory and to characterize clinically evolved resistant pathogens, these methods are revealing the molecular basis and rate of evolution of antibiotic resistance under treatment regimens of single drugs or drug combinations. In this Progress article, we review these new tools for studying the evolution of antibiotic resistance and discuss how the genomic and evolutionary insights they provide could transform the diagnosis, treatment and predictability of antibiotic resistance in bacterial infections.",

author = "Palmer, {Adam C.} and Kishony Roy",

note = "Funding Information: We thank T. Lieberman for discussions on phylogeny and comments on the manuscript. This work was supported in part by US National Institutes of Health grants R01GM081617 and US National Institute of General Medical Science Center grant P50GM068763, and the Novartis Institutes for BioMedical Research.",

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N2 - The evolution of antibiotic resistance can now be rapidly tracked with high-throughput technologies for bacterial genotyping and phenotyping. Combined with new approaches to evolve resistance in the laboratory and to characterize clinically evolved resistant pathogens, these methods are revealing the molecular basis and rate of evolution of antibiotic resistance under treatment regimens of single drugs or drug combinations. In this Progress article, we review these new tools for studying the evolution of antibiotic resistance and discuss how the genomic and evolutionary insights they provide could transform the diagnosis, treatment and predictability of antibiotic resistance in bacterial infections.

AB - The evolution of antibiotic resistance can now be rapidly tracked with high-throughput technologies for bacterial genotyping and phenotyping. Combined with new approaches to evolve resistance in the laboratory and to characterize clinically evolved resistant pathogens, these methods are revealing the molecular basis and rate of evolution of antibiotic resistance under treatment regimens of single drugs or drug combinations. In this Progress article, we review these new tools for studying the evolution of antibiotic resistance and discuss how the genomic and evolutionary insights they provide could transform the diagnosis, treatment and predictability of antibiotic resistance in bacterial infections.

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M3 - مقالة

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JO - Nature Reviews Genetics

JF - Nature Reviews Genetics

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ER -

Understanding, predicting and manipulating the genotypic evolution of antibiotic resistance

Abstract

All Science Journal Classification (ASJC) codes

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