| Literature DB >> 29081357 |
Emilyn Costa Conceição1, Nalin Rastogi2, David Couvin3, Maria Luíza Lopes4, Ismari Perini Furlaneto5, Harrison Magdinier Gomes6, Sidra Ezídio Gonçalves Vasconcellos6, Philip Noel Suffys7, Maria Paula Cruz Schneider8, Maísa Silva de Sousa9, Christophe Sola10, Ricardo José de Paula Souza E Guimarães4, Rafael Silva Duarte1, Karla Valéria Batista Lima11.
Abstract
There is only scarce information available on genotypic diversity of the Mycobacterium tuberculosis complex (MTBC) clinical isolates circulating in the Northern part of Brazil, a relatively neglected region regarding research on tuberculosis. We therefore characterized 980 MTBC clinical isolates from the state of Pará, by spoligotyping and data was compared with patterns from around the world, besides analyzing drug susceptibility, and collecting sociodemographic data. We also performed 24 loci MIRU-VNTR typing to evaluate phylogenetic inferences among the East-African-Indian (EAI) lineage strains. The Geographic Information System analyses were performed to generate a descriptive visualization of MTBC strain distribution in the region. A total of 249 different spoligopatterns primarily belonging to evolutionary recent Euro-American lineages, as well as Central-Asian, Manu and ancestral EAI lineages, were identified, in addition to strains with reportedly unknown lineage signatures. The most frequent lineages were Latin American Mediterranean, T and Haarlem. Interestingly, EAI lineage strains were found in a significantly higher proportion in comparison with previous studies from South America. Regarding EAI lineage, the absence of spacers 4-9 and 23-24 co-related to 24 loci MIRU-VNTRs may suggest a close evolutionary relationship between such strains in Pará and those prevalent in Mozambique, which might have contributed to the genetic diversity of MTBC strains in this region.Entities:
Keywords: Brazil; EAI lineage; Euro-American lineage; Mycobacterium tuberculosis; Population-structure; Spoligotyping
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Year: 2017 PMID: 29081357 DOI: 10.1016/j.meegid.2017.10.021
Source DB: PubMed Journal: Infect Genet Evol ISSN: 1567-1348 Impact factor: 3.342