Abstract
Tuberculosis (TB) remains a major health problem within the Community of Portuguese Language Speaking Countries (CPLP). Despite the marked variation in TB incidence across its member-states and continued human migratory flux between countries, a considerable gap in the knowledge on the Mycobacterium tuberculosis population structure and strain circulation between the countries still exists. To address this, we have assembled and analysed the largest CPLP M. tuberculosis molecular and drug susceptibility dataset, comprised by a total of 1447 clinical isolates, including 423 multidrug-resistant isolates, from five CPLP countries. The data herein presented reinforces Latin American and Mediterranean (LAM) strains as the hallmark of M. tuberculosis populational structure in the CPLP coupled with country-specific differential prevalence of minor clades. Moreover, using high-resolution typing by 24-loci MIRU-VNTR, six cross-border genetic clusters were detected, thus supporting recent clonal expansion across the Lusophone space.To make this data available to the scientific community and public health authorities we developed CPLP-TB (available at http://cplp-tb.ff.ulisboa.pt), an online database coupled with web-based tools for exploratory data analysis. As a public health tool, it is expected to contribute to improved knowledge on the M. tuberculosis population structure and strain circulation within the CPLP, thus supporting the risk assessment of strain-specific trends.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 44-58 |
| Number of pages | 15 |
| Journal | Infection, Genetics and Evolution |
| Volume | 72 |
| DOIs | |
| State | Published - Mar 18 2018 |
Bibliographical note
KAUST Repository Item: Exported on 2020-10-01Acknowledged KAUST grant number(s): BAS/1/1020-01-01
Acknowledgements: Financial support was provided by the European Society of Clinical Microbiology and Infectious Diseases, for which we would like to would like to acknowledge the Study Group for Mycobacterial Infections; Fundação CAPES [PVE-CAPES. 88881.064961/2014-01- Jose R. Lapa e Silva/UFRJ coordinator]; Genotyping and susceptibility profile of Mycobacterium tuberculosis clinical isolates from Rio Grande, Brazil were funded by Apoio a Projetos de Pesquisa em Doenças Negligenciadas, Brazil/MCTI/CNPq/MS-SCTIE – Decit [404081/2012-6] and by Programa Pesquisa para o SUS – PPSUS - FAPERGS/MS/CNPq/SESRS [1193-2551/13-6]; MIRU-VNTR typing and spoligotyping of Mycobacterium tuberculosis clinical isolates from Porto Alegre, Brazil were funded by National Council of Research [CNPq/MCTI/Universal - Project number: 441499/2014-7]; Fundação para a Ciência e a Tecnologia (FCT) Portugal [PTDC/SAU-EPI/122400/2010], part of the EDCTP2 program supported by the European Union; Fundação Calouste Gulbenkian, Portugal [Project ref. P-99934]. JP was supported by a post doc fellowship from project [PTDC/SAU-EPI/122400/2010] and by fellowship [SFRH/BPD/95406/2013] from FCT. The phylogenetic analysis work at Nalin Rastogi's lab was supported by a FEDER grant financed by the European Union and Guadeloupe Region (Programme Opérationnel FEDER-Guadeloupe-Conseil Régional 2014-2020, Grant number 2015-FED-192). IM was supported by Russian Science Foundation (grant 14-14-00292). AP was supported by a faculty baseline funding from KAUST [BAS/1/1020-01-01]. DM was supported by FCT fellowship [SFRH/BPD/100688/2014] and DM, IC MV are thankful to [GHTM UID/Multi/04413/20139] from FCT and to projects “ForDILAB-TB” and “A implementação de um novo método de identificação rápida do complexo M. tuberculosis nos Laboratórios de Referência da Tuberculose de Maputo e Beira” from Fundação Calouste Gulbenkian and the Community of the Portuguese Speaking Countries (CPLP). CS was supported by FCT [SFRH/BD/73579/2010]. TC is funded by the Medical Research Council UK (Grant no. MR/K000551/1 and MR/M01360X/1, MR/N010469/1, MC_PC_15103).
