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dc.contributor.authorGuérillot, Romain-
dc.contributor.authorLi, Lucy-
dc.contributor.authorBaines, Sarah-
dc.contributor.authorHowden, Brian-
dc.contributor.authorSchultz, Mark B-
dc.contributor.authorSeemann, Torsten-
dc.contributor.authorMonk, Ian-
dc.contributor.authorPidot, Sacha J-
dc.contributor.authorGao, Wei-
dc.contributor.authorGiulieri, Stefano-
dc.contributor.authorGonçalves da Silva, Anders-
dc.contributor.authorD'Agata, Anthony-
dc.contributor.authorTomita, Takehiro-
dc.contributor.authorPeleg, Anton Y-
dc.contributor.authorStinear, Timothy P-
dc.contributor.authorHowden, Benjamin P-
dc.identifier.citationGenome medicine 2018; 10(1): 63-
dc.description.abstractMutation 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 ( ).-
dc.subjectAntibiotic resistance-
dc.subjectDeep sequencing-
dc.subjectMycobacterium tuberculosis-
dc.subjectResistance mutations-
dc.subjectStaphylococcus aureus-
dc.titleComprehensive antibiotic-linked mutation assessment by resistance mutation sequencing (RM-seq).-
dc.typeJournal Article-
dc.identifier.journaltitleGenome medicine-
dc.identifier.affiliationDepartment of Microbiology and Immunology, The University of Melbourne at the Doherty Institute for Infection & Immunity, Melbourne, Victoria, Australia-
dc.identifier.affiliationDoherty Applied Microbial Genomics, The University of Melbourne at the Peter Doherty Institute for Infection & Immunity, Melbourne, Victoria, Australia-
dc.identifier.affiliationMelbourne Bioinformatics, The University of Melbourne, Melbourne, Victoria, Australia-
dc.identifier.affiliationMicrobiological Diagnostic Unit Public Health Laboratory, The University of Melbourne at the Peter Doherty Institute for Infection & Immunity, Melbourne, Victoria, Australia-
dc.identifier.affiliationDepartment of Infectious Diseases, The Alfred Hospital and Central Clinical School, Monash University, Melbourne, Victoria, Australia-
dc.identifier.affiliationInfection and Immunity Theme, Monash Biomedicine Discovery Institute, Department of Microbiology, Monash University, Clayton, Victoria, Australia-
dc.identifier.affiliationDepartment of Infectious Diseases, Austin Health, Heidelberg, Victoria, Australia-
dc.type.austinJournal Article-
item.fulltextNo Fulltext-
item.openairetypeJournal Article-
item.cerifentitytypePublications- Diseases-
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