Variable number tandem repeat analysis of Mycobacterium bovis isolates from Gyeonggi-do, Korea

Bo Young Jeon, Sungmo Je, Jinhee Park, Yeun Kim, Eun Gae Lee, Hyeyoung Lee, Sangkyo Seo, Sang Nae Cho

Research output: Contribution to journalArticle

12 Citations (Scopus)

Abstract

Bovine tuberculosis (TB) is a major zoonosis that's caused by Mycobacterium bovis (M. bovis). Being able to detect M. bovis is important to control bovine TB. We applied a molecular technique, the variable number tandem repeat (VNTR) typing method, to identify and distinguish the M. bovis isolates from Gyeonggi-do, Korea. From 2003 to 2004, 59 M. bovis clinical strains were isolated from dairy cattle in Gyeonggi-do, Korea, and these cattle had tuberculosis-like lesions. Twenty-four published MIRU-VNTR markers were applied to the M. bovis isolates and ten of them showed allelic diversity. The most discriminatory locus for the M. bovis isolates in Korea was QUB 3336 (h = 0.64). QUB 26 and MIRU 31 also showed high discriminative power (h = 0.35). The allelic diversity by the combination of all VNTR loci was 0.86. Six loci (MIRU 31, ETR-A and QUB-18, -26, -3232, -3336) displayed valuable allelic diversity. Twelve genotypes were identified from the 59 M. bovis isolates that originated from 20 cattle farms that were dispersed throughout the region of Gyenggi-do. Two genotypes [designation index (d.i.) = e, g] showed the highest prevalence (20% of the total farms). For the multiple outbreaks on three farms, two successive outbreaks were caused by the same genotype at two farms. Interestingly, the third outbreak at one farm was caused by both a new genotype and a previous genotype. In conclusion, this study suggests that MIRU-VNTR typing is useful to identify and distinguish the M. bovis isolates from Gyeonggi-do, Korea.

Original languageEnglish
Pages (from-to)145-153
Number of pages9
JournalJournal of veterinary science
Volume9
Issue number2
DOIs
Publication statusPublished - 2008 Jun

All Science Journal Classification (ASJC) codes

  • veterinary(all)

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