Literature DB >> 27594144

MIRU-VNTR allelic variability depends on Mycobacterium bovis clonal group identity.

Amandine Hauer1, Lorraine Michelet2, Krystel De Cruz2, Thierry Cochard3, Maxime Branger3, Claudine Karoui2, Sylvie Henault2, Franck Biet3, María Laura Boschiroli4.   

Abstract

The description of the population of M. bovis strains circulating in France from 1978 to 2013 has highlighted the discriminating power of the MLVA among predominant spoligotype groups. In the present study we aimed to characterize clonal groups via MLVA and to better understand the strain's population structure. MLVA was performed with eight MIRU-VNTR loci, most of them defined by the Venomyc European consortium. The discriminatory index of each MLVA loci was calculated for SB0120, SB0134, SB0121 and the "F4-family", the main spoligotype groups in France. Differences in global DI per spoligotype, but also by locus within each spoligotype, were observed, which strongly suggest the clonal complex nature of these major groups. These MLVA results were compared to those of other European countries where strain collections had been characterized (Spain, Portugal, Italy, Northern Ireland and Belgium). Overall, QUB 3232 and ETR D are respectively the most and the least discriminative loci, regardless of the strains geographical origin. However, marked DI differences are observed in the rest of the MIRU-VNTR loci, again highlighting that strain genetic variability in a country depends on the dominant existing clonal complexes. A web application for M. bovis, including spoligotyping and MIRU-VNTR typing data, was developed to allow inter-laboratory comparison of field isolates. In conclusion, combination of typing methods is required for M. bovis optimum discrimination and differentiation of groups of strains. Thus, the loci employed for MLVA in a country should be those which are the most discriminative for the clonal complexes which characterize their M. bovis population. Copyright Â
© 2016 Elsevier B.V. All rights reserved.

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Year:  2016        PMID: 27594144     DOI: 10.1016/j.meegid.2016.08.038

Source DB:  PubMed          Journal:  Infect Genet Evol        ISSN: 1567-1348            Impact factor:   3.342


  5 in total

1.  Draft Genome Sequence of Mycobacterium bovis Strain D-10-02315 Isolated from Wild Boar.

Authors:  Maxime Branger; Amandine Hauer; Lorraine Michelet; Claudine Karoui; Thierry Cochard; Krystel De Cruz; Sylvie Henault; María Laura Boschiroli; Franck Biet
Journal:  Genome Announc       Date:  2016-11-10

2.  Infection of Wildlife by Mycobacterium bovis in France Assessment Through a National Surveillance System, Sylvatub.

Authors:  Édouard Réveillaud; Stéphanie Desvaux; Maria-Laura Boschiroli; Jean Hars; Éva Faure; Alexandre Fediaevsky; Lisa Cavalerie; Fabrice Chevalier; Pierre Jabert; Sylvie Poliak; Isabelle Tourette; Pascal Hendrikx; Céline Richomme
Journal:  Front Vet Sci       Date:  2018-10-30

3.  Transmission Network of Deer-Borne Mycobacterium bovis Infection Revealed by a WGS Approach.

Authors:  Lorraine Michelet; Cyril Conde; Maxime Branger; Thierry Cochard; Franck Biet; Maria Laura Boschiroli
Journal:  Microorganisms       Date:  2019-12-12

4.  Single-nucleotide polymorphism-based epidemiological analysis of Korean Mycobacterium bovis isolates.

Authors:  Tae Woon Kim; Yun Ho Jang; Min Kyu Jeong; Yoonjeong Seo; Chan Ho Park; Sinseok Kang; Young Ju Lee; Jeong Soo Choi; Soon Seek Yoon; Jae Myung Kim
Journal:  J Vet Sci       Date:  2021-03       Impact factor: 1.672

Review 5.  Mycobacterium bovis: From Genotyping to Genome Sequencing.

Authors:  Ana M S Guimaraes; Cristina K Zimpel
Journal:  Microorganisms       Date:  2020-05-03
  5 in total

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