Literature DB >> 27738914

Emergence and Spread of Antimicrobial Resistance: Recent Insights from Bacterial Population Genomics.

Ulrich Nübel1,2,3.   

Abstract

Driven by progress of DNA sequencing technologies, recent population genomics studies have revealed that several bacterial pathogens constitute 'measurably evolving populations'. As a consequence, it was possible to reconstruct the emergence and spatial spread of drug-resistant bacteria on the basis of temporally structured samples of bacterial genome sequences. Based on currently available data, some general inferences can be drawn across different bacterial species as follows: (1) Resistance to various antibiotics evolved years to decades earlier than had been anticipated on the basis of epidemiological surveillance data alone. (2) Resistance traits are more rapidly acquired than lost and commonly persist in bacterial populations for decades. (3) Global populations of drug-resistant pathogens are dominated by very few clones, yet the features enabling such spreading success have not been revealed, aside from antibiotic resistance. (4) Whole-genome sequencing proved very effective at identifying bacterial isolates as parts of the same transmission networks.

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Year:  2016        PMID: 27738914     DOI: 10.1007/82_2016_505

Source DB:  PubMed          Journal:  Curr Top Microbiol Immunol        ISSN: 0070-217X            Impact factor:   4.291


  3 in total

Review 1.  Antiviral Compounds from Myxobacteria.

Authors:  Lucky S Mulwa; Marc Stadler
Journal:  Microorganisms       Date:  2018-07-19

2.  ASA3P: An automatic and scalable pipeline for the assembly, annotation and higher-level analysis of closely related bacterial isolates.

Authors:  Oliver Schwengers; Andreas Hoek; Moritz Fritzenwanker; Linda Falgenhauer; Torsten Hain; Trinad Chakraborty; Alexander Goesmann
Journal:  PLoS Comput Biol       Date:  2020-03-05       Impact factor: 4.475

3.  Comparative Genome Analysis of an Extensively Drug-Resistant Isolate of Avian Sequence Type 167 Escherichia coli Strain Sanji with Novel In Silico Serotype O89b:H9.

Authors:  Xiancheng Zeng; Xuelin Chi; Brian T Ho; Damee Moon; Christine Lambert; Richard J Hall; Primo Baybayan; Shihua Wang; Brenda A Wilson; Mengfei Ho
Journal:  mSystems       Date:  2019-02-26       Impact factor: 6.496

  3 in total

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