2018
DOI: 10.7717/peerj.5090
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MIRU-profiler: a rapid tool for determination of 24-loci MIRU-VNTR profiles from assembled genomes ofMycobacterium tuberculosis

Abstract: BackgroundTuberculosis (TB) resulted in an estimated 1.7 million deaths in the year 2016. The disease is caused by the members of Mycobacterium tuberculosis complex, which includes Mycobacterium tuberculosis, Mycobacterium bovis and other closely related TB causing organisms. In order to understand the epidemiological dynamics of TB, national TB control programs often conduct standardized genotyping at 24 Mycobacterial-Interspersed-Repetitive-Units (MIRU)-Variable-Number-of-Tandem-Repeats (VNTR) loci. With the… Show more

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Cited by 13 publications
(4 citation statements)
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“…Slightly adapted script from what was set-up for runs were written to annotate these genomes in term of spoligotype profiles and lineage/sublineage assignation. MIRU-Profiler was used to infer MIRU types from assembled genomes [24]. Resulting patterns were entered in TBminer to identify most likely MTC sublineage assignation according to MIRU-VNTR or spoligo profile or their combination [25].…”
Section: Methodsmentioning
confidence: 99%
“…Slightly adapted script from what was set-up for runs were written to annotate these genomes in term of spoligotype profiles and lineage/sublineage assignation. MIRU-Profiler was used to infer MIRU types from assembled genomes [24]. Resulting patterns were entered in TBminer to identify most likely MTC sublineage assignation according to MIRU-VNTR or spoligo profile or their combination [25].…”
Section: Methodsmentioning
confidence: 99%
“…Scripts adapted from those set-up for SRR were written to extract information from complete genomes: 43-spacers spoligotype profiles, lineage/sublineage assignation according to SNPs. MIRU-Profiler was used to infer MIRU types from complete genomes [ 36 ]. Resulting patterns were entered in the on-line tool TBminer ( http://info-demo.lirmm.fr/tbminer/index.php ) to identify most likely MTC lineage and sublineage assignation according to MIRU-VNTR, spoligo profile, or their combination [ 26 ].…”
Section: Design and Implementationmentioning
confidence: 99%
“…Notwithstanding, the relatively low performance of spoligotyping compared to SNP barcoding and cgMLST, highlights the urgent need for a paradigm shift by migrating towards WGS-based approaches for pathogen typing, and start building 'new' historical datasets comprising full genomic information (19,79). Although WGS-based in silico MIRU-VNTR typing was not included in our workflow, similar to spoligotyping, it has been reported to suffer on May 30, 2021 by guest http://jcm.asm.org/ Downloaded from from lower accuracy when only short-read data is available (80), and would therefore equally benefit from being phased out in favor of the more performant WGS-based typing methods. Neither cgMLST nor SNP barcoding offer enough resolution to detect closely related outbreaks characterized by only a few SNPs difference (81).…”
Section: Discussionmentioning
confidence: 99%