Spoligotyping, genotyping, and spatial distribution of Mycobacterium bovis in cattle in the state of Bahia, Brazil

• Autor(a) principal: Santos,Evelin S.V.
• Data de Publicação: 2021
• Outros Autores: Alzamora Filho,Fernando, Santos,Bruno R., Silva,Alana V., Gomes,Harrison M., Suffys,Philip N., Costa,Joselito N.
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Pesquisa Veterinária Brasileira (Online)
• Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-736X2021000100210
• topic: Spoligotyping; genotyping; spatial distribution; Mycobacterium bovis; cattle; Brazil

ABSTRACT: Mycobacterium bovis is responsible for bovine and buffalo tuberculosis, an important zoonotic disease with global distribution. The knowledge of the distribution and the precise identification of this disease, including advanced diagnoses such as spoligotyping, allows choosing the best strategies to fight the disease’s progress. The present work aimed to investigate mycobacteria’s presence, genotype their strains, and evaluate tuberculosis cases’ spatial distribution from suggestive lesions in carcasses of bovine and buffalo inspected in slaughterhouses under an official inspection regime in the state of Bahia, Brazil. The study investigated 453,417 animals. Among these, 31 (0.007%) from 17 municipalities were suspected of tuberculosis. Among the culture medium growth, 95% of these were categorized as alcohol-acid resistant bacilli (BAAR). All isolates were subjected to spoligotyping and 95% were confirmed as M. bovis (SB0120, SB0121, SB0852, SB0828, SB0295, SB0881, SB1648, SB6119, SB0140, SB1055). The strain SB0120 was the most prevalent, and this profile has been described in cases of human tuberculosis by M. bovis, highlighting the zoonotic potential of this profile. This study also identified strains never reported in Bahia, highlighting a distinctive pattern from other parts of Brazil, besides mixed infections. Besides, to identify strains never before described in the state, highlighting a distinctive pattern in Brazil (SB6119 and SB0852, respectively). An unpublished profile was identified and inserted in the international database (Mbovis.org), named SB2715.