Low genetic diversity of bovine Mycobacterium avium subspecies paratuberculosis isolates detected by MIRU-VNTR genotyping
ORCID
https://orcid.org/0000-0003-4116-9913
Document Type
Article
Disciplines
Biology
Abstract
Mycobacterial interspersed repetitive unit and variable number tandem repeat (MIRU-VNTR) has been developed as a simple, rapid and cost efficient molecular typing method to differentiate Mycobacterium avium subspecies paratuberculosis (MAP) isolates. The aim of this study was to determine the genomic diversity of MAP across the Republic of Ireland by utilising the MIRU-VNTR typing method on a large collection of MAP isolates. A total of 114 MAP isolates originated from 53 herds across 19 counties in the Republic of Ireland were genotyped based on eight established MIRU-VNTR loci. Four INMV groups were observed during this study. INMV 1 was found in 67 MAP isolates (58.8%) and INMV 2 was observed in 45 isolates (39.4%). INMV 3 and INMV 116 recorded only one isolate each (0.9%). The unique INMV 116 group has never been reported among herds thus far and the molecular pattern of the MAP isolate classified in INMV 116 showed a difference at the MIRU-VNTR X3 locus compared to the other three INMV groups observed. INMV 1, INMV 2 and INMV 3 are observed frequently in Europe and comprised 99.1% of the total MAP isolates characterised in this study, indicating that MAP exhibited low level of genetic diversity across the Republic of Ireland using the MIRU-VNTR method. By the implementation of SNP analysis or MLSSR as an additional typing method, MAP genetic diversity would increase. INMV 3 is unique to Ireland and whereas INMV 116 has never been previously reported among herds by MIRU-VNTR typing.
Recommended Citation
De Kruijf, M. et al., 2017. Low genetic diversity of bovine Mycobacterium avium subspecies paratuberculosis isolates detected by MIRU-VNTR genotyping. Veterinary Microbiology, 203, pp.280–285. Available at: http://dx.doi.org/10.1016/j.vetmic.2017.03.029.
Publication Details
Veterinary Microbiology
© 2017 Elsevier Ltd