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Comprehensive antibiotic-linked mutation assessment by resistance mutation sequencing (RM-seq)

Authors :
Romain Guérillot
Lucy Li
Sarah Baines
Brian Howden
Mark B. Schultz
Torsten Seemann
Ian Monk
Sacha J. Pidot
Wei Gao
Stefano Giulieri
Anders Gonçalves da Silva
Anthony D’Agata
Takehiro Tomita
Anton Y. Peleg
Timothy P. Stinear
Benjamin P. Howden
Source :
Genome Medicine, Vol 10, Iss 1, Pp 1-15 (2018)
Publication Year :
2018
Publisher :
BMC, 2018.

Abstract

Abstract Mutation acquisition is a major mechanism of bacterial antibiotic resistance that remains insufficiently characterised. Here we present RM-seq, a new amplicon-based deep sequencing workflow based on a molecular barcoding technique adapted from Low Error Amplicon sequencing (LEA-seq). RM-seq allows detection and functional assessment of mutational resistance at high throughput from mixed bacterial populations. The sensitive detection of very low-frequency resistant sub-populations permits characterisation of antibiotic-linked mutational repertoires in vitro and detection of rare resistant populations during infections. Accurate quantification of resistance mutations enables phenotypic screening of mutations conferring pleiotropic phenotypes such as in vivo persistence, collateral sensitivity or cross-resistance. RM-seq will facilitate comprehensive detection, characterisation and surveillance of resistant bacterial populations (https://github.com/rguerillot/RM-seq).

Details

Language :
English
ISSN :
1756994X
Volume :
10
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Genome Medicine
Publication Type :
Academic Journal
Accession number :
edsdoj.7ca66ddcfa614cb4964c56dcf380c33c
Document Type :
article
Full Text :
https://doi.org/10.1186/s13073-018-0572-z