Literature DB >> 22954750

Context matters - the complex interplay between resistome genotypes and resistance phenotypes.

Gautam Dantas1, Morten O A Sommer.   

Abstract

Application of metagenomic functional selections to study antibiotic resistance genes is revealing a highly diverse and complex network of genetic exchange between bacterial pathogens and environmental reservoirs, which likely contributes significantly to increasing resistance levels in pathogens. In some cases, clinically relevant resistance genes have been acquired from organisms where their native function is not antibiotic resistance, and which may not even confer a resistance phenotype in their native context. In this review, we attempt to distinguish the resistance phenotype from the resistome genotype, and we highlight examples of genes and their hosts where this distinction becomes important in order to understand the relevance of environmental niches that contribute most to clinical problems associated with antibiotic resistance.
Copyright © 2012 Elsevier Ltd. All rights reserved.

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Year:  2012        PMID: 22954750     DOI: 10.1016/j.mib.2012.07.004

Source DB:  PubMed          Journal:  Curr Opin Microbiol        ISSN: 1369-5274            Impact factor:   7.934


  43 in total

Review 1.  Experimental approaches for defining functional roles of microbes in the human gut.

Authors:  Gautam Dantas; Morten O A Sommer; Patrick H Degnan; Andrew L Goodman
Journal:  Annu Rev Microbiol       Date:  2013       Impact factor: 15.500

2.  Accounting for reciprocal host-microbiome interactions in experimental science.

Authors:  Thaddeus S Stappenbeck; Herbert W Virgin
Journal:  Nature       Date:  2016-06-09       Impact factor: 49.962

Review 3.  What is a resistance gene? Ranking risk in resistomes.

Authors:  José L Martínez; Teresa M Coque; Fernando Baquero
Journal:  Nat Rev Microbiol       Date:  2014-12-15       Impact factor: 60.633

Review 4.  Prediction of antibiotic resistance: time for a new preclinical paradigm?

Authors:  Morten O A Sommer; Christian Munck; Rasmus Vendler Toft-Kehler; Dan I Andersson
Journal:  Nat Rev Microbiol       Date:  2017-07-31       Impact factor: 60.633

5.  A rifamycin inactivating phosphotransferase family shared by environmental and pathogenic bacteria.

Authors:  Peter Spanogiannopoulos; Nicholas Waglechner; Kalinka Koteva; Gerard D Wright
Journal:  Proc Natl Acad Sci U S A       Date:  2014-04-28       Impact factor: 11.205

6.  Antibiotic Selection Pressure Determination through Sequence-Based Metagenomics.

Authors:  Matthias Willmann; Mohamed El-Hadidi; Daniel H Huson; Monika Schütz; Christopher Weidenmaier; Ingo B Autenrieth; Silke Peter
Journal:  Antimicrob Agents Chemother       Date:  2015-09-14       Impact factor: 5.191

Review 7.  Sequencing-based methods and resources to study antimicrobial resistance.

Authors:  Manish Boolchandani; Alaric W D'Souza; Gautam Dantas
Journal:  Nat Rev Genet       Date:  2019-06       Impact factor: 53.242

8.  Destination shapes antibiotic resistance gene acquisitions, abundance increases, and diversity changes in Dutch travelers.

Authors:  Alaric W D'Souza; Manish Boolchandani; Sanket Patel; Gianluca Galazzo; Jarne M van Hattem; Maris S Arcilla; Damian C Melles; Menno D de Jong; Constance Schultsz; Gautam Dantas; John Penders
Journal:  Genome Med       Date:  2021-06-07       Impact factor: 11.117

9.  Mobile elements, zoonotic pathogens and commensal bacteria: conduits for the delivery of resistance genes into humans, production animals and soil microbiota.

Authors:  Steven P Djordjevic; Harold W Stokes; Piklu Roy Chowdhury
Journal:  Front Microbiol       Date:  2013-04-30       Impact factor: 5.640

10.  Antibiotics as selectors and accelerators of diversity in the mechanisms of resistance: from the resistome to genetic plasticity in the β-lactamases world.

Authors:  Juan-Carlos Galán; Fernando González-Candelas; Jean-Marc Rolain; Rafael Cantón
Journal:  Front Microbiol       Date:  2013-02-08       Impact factor: 5.640

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