Please use this identifier to cite or link to this item: http://ahro.austin.org.au/austinjspui/handle/1/18811
Title: Comprehensive antibiotic-linked mutation assessment by resistance mutation sequencing (RM-seq).
Authors: Guérillot, Romain;Li, Lucy;Baines, Sarah;Howden, Brian;Schultz, Mark B;Seemann, Torsten;Monk, Ian;Pidot, Sacha J;Gao, Wei;Giulieri, Stefano;Gonçalves da Silva, Anders;D'Agata, Anthony;Tomita, Takehiro;Peleg, Anton Y;Stinear, Timothy P;Howden, Benjamin P
Affiliation: Department of Microbiology and Immunology, The University of Melbourne at the Doherty Institute for Infection & Immunity, Melbourne, Victoria, Australia
Doherty Applied Microbial Genomics, The University of Melbourne at the Peter Doherty Institute for Infection & Immunity, Melbourne, Victoria, Australia
Melbourne Bioinformatics, The University of Melbourne, Melbourne, Victoria, Australia
Microbiological Diagnostic Unit Public Health Laboratory, The University of Melbourne at the Peter Doherty Institute for Infection & Immunity, Melbourne, Victoria, Australia
Department of Infectious Diseases, The Alfred Hospital and Central Clinical School, Monash University, Melbourne, Victoria, Australia
Infection and Immunity Theme, Monash Biomedicine Discovery Institute, Department of Microbiology, Monash University, Clayton, Victoria, Australia
Department of Infectious Diseases, Austin Health, Heidelberg, Victoria, Australia
Issue Date: 31-Aug-2018
EDate: 2018-08-31
Citation: Genome medicine 2018; 10(1): 63
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 ).
URI: http://ahro.austin.org.au/austinjspui/handle/1/18811
DOI: 10.1186/s13073-018-0572-z
ORCID: 0000-0003-0237-1473
PubMed URL: 30165908
Type: Journal Article
Subjects: Antibiotic resistance
Daptomycin
Deep sequencing
Mycobacterium tuberculosis
Resistance mutations
Rifampicin
Staphylococcus aureus
Appears in Collections:Journal articles

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