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Microevolution ofMycobacterium tuberculosisin a Tuberculosis Patient

descriptionPublicationkeyboard_double_arrow_right Article 01 Oct 2010 Netherlands Publisher:American Society for MicrobiologyJournal:Journal of Clinical Microbiology, volume 48, pages 3,813-3,816 (issn: 0095-1137, eissn: 1098-660X,

Authors: Al-Hajoj, SAM; Akkerman, O; Parwati, I; Al-Gamdi, S; Rahim, Z; van Soolingen, D; van Ingen, J; +2 Authors

doi: 10.1128/jcm.00556-10

pmid: 20686077

pmc: PMC2953119

handle: https://repository.ubn.ru.nl/handle/2066/87792 , 2066/87792

Microevolution ofMycobacterium tuberculosisin a Tuberculosis Patient

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Abstract

ABSTRACTFiveMycobacterium tuberculosisisolates were obtained from three body sites from a Dutch patient. The isolates displayed a single genotype by 24-locus MIRU-VNTR typing (except for a single locus not amplified from one isolate) but were differentiated by small variations in IS6110fingerprints, spoligotypes, 6 hypervariable MIRU-VNTR loci, and/or DiversiLab profiles, revealing patterns of microevolution in a clonal infection.

Country

Netherlands

Related Organizations

National Institute for Public Health and the Environment
Netherlands
University of Lille
France
King Faisal Specialist Hospital & Research Centre
Saudi Arabia
Center for Infection and Immunity of Lille
France
Padjadjaran University
Indonesia

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Keywords

DNA, Bacterial, Genotype, Mycobacterium tuberculosis, N4i 3: Poverty-related infectious diseases, Middle Aged, DNA Fingerprinting, Bacterial Typing Techniques, Evolution, Molecular, DNA Transposable Elements, Cluster Analysis, Humans, Tuberculosis, Female, N4i 3: Poverty-related infectious diseases NCMLS 1: Infection and autoimmunity, Netherlands

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	56
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 10%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%