Literature DB >> 31713145

Multilocus variable number tandem repeat analysis (MLVA)-typing of Brucella abortus isolates of India reveals limited genetic diversity.

Maninder Singh1, Mohd Ashraf Malik2, Dhirender Kumar Singh3, Soni Doimari3, Rohini Sharma2.   

Abstract

Multilocus variable number tandem repeat analysis (MLVA) technique has wide applications in studying phylogenies and short-term epidemiology of pathogens. The technique has been extensively used worldwide in molecular epidemiology of Brucella genus. Only one study on this aspect is reported from India despite its economic and public health significance in country. The present study isolated B. abortus from domesticated bovines of Jammu region of Jammu and Kashmir state, India, and applied MLVA for 16 loci (MLVA-16). MLVA results were compared with the results of a previous study and with MLVA data of Indian isolates present in http://microbesgenotyping.i2bc.paris-saclay.fr/database. In the study, 136 samples from bovines (cattle and buffaloes) of 47 farms of Jammu region were processed for isolation. Eleven isolates of B. abortus biovar 1 from 6 farms were obtained. In MLVA-16 analysis, although the isolates were classified in a single cluster, 5 genotypes were obtained with a specific genotype being prevalent on each farm. The study identifies that MLVA-16 is capable to differentiate B. abortus strains in an area having high genetic similarity among isolates. On comparing the results with previous study and database, the isolates were found to have high genetic similarity indicating that the genetic diversity of B. abortus in India is very limited. It probably indicates that India is contaminated recently with B. abortus. To test this hypothesis, analysis of whole genome sequencing data of diverse collection of Indian B. abortus strains is required.

Entities:  

Keywords:  Brucella; Brucellosis; India; MLVA

Mesh:

Year:  2019        PMID: 31713145     DOI: 10.1007/s11250-019-02110-x

Source DB:  PubMed          Journal:  Trop Anim Health Prod        ISSN: 0049-4747            Impact factor:   1.559


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