Publication Details

AFRICAN RESEARCH NEXUS

SHINING A SPOTLIGHT ON AFRICAN RESEARCH

agricultural and biological sciences

Insights into the population structure of Mycobacterium tuberculosis using spoligotyping and RDRio in a southeastern Brazilian prison unit

Infection, Genetics and Evolution, Volume 26, Year 2014

Tuberculosis (TB) is still a serious public health problem, continuing to be an important threat for confined populations. We used spoligotyping to estimate the genotypic clades of Mycobacterium tuberculosis isolates from inmates in two blocks in a southeastern Brazilian prison unit, with TB incidence rate of 8185/100.000. The Latin American Mediterranean (LAM) clade is well represented in the country, and the LAM specific molecular markers, RDRio large sequence polymorphism and the SNP on the Rv3062 [ligB1212], were used to characterize spoligotype signatures from prison isolates. Typing of RDRio and ligB increase LAM clade from 66.7% (n=72/108) to 69.4% (n=75). The LAM2 SIT17 (n=23) and SIT179 (n=12) signatures comprised one third of all isolates, followed by Haarlem (11.5%, n=12), T (8.7%, n=9) and X (5.7%, n=6) clades. Strains with unknown signatures represented 5.5% (n=6), and four (3.7%) did not match any lineage. We observed RDRio among 64 (59.2%) isolates, and 54 (50%) were of the LAM clade. In particular, the LAM2/RDRio sub-lineage was significantly associated with clustering (p=0.02) and its frequency was higher (32%) when compared to that of the previous general TB cases in RJ (4.29%). Overall cluster frequency defined by spoligotyping/IS6110-RFLP was 62%. The two evolutionary markers helped to evaluate some LAM signature misconceptions and demonstrate that LAM2/RDRio was found with high frequency, hitherto being unnoticed. All these data, allied to high clustering, imply that public health measures to minimize the escalation of TB in prison is essential, and both spoligotyping as well as RDRio would be useful tools to monitor the effects of the measures with respect to M. tuberculosis lineage variation. © 2014 Elsevier B.V.
Statistics
Citations: 13
Authors: 13
Affiliations: 7
Identifiers
Research Areas
Infectious Diseases
Study Design
Cross Sectional Study
Cohort Study