Clonal expansion across the seas as seen through CPLP-TB database: A joint effort in cataloguing Mycobacterium tuberculosis genetic diversity in Portuguese-speaking countries

João Perdigão, Carla Silva, Jaciara Diniz, Catarina Pereira, Diana Machado, Jorge Ramos, Hugo Silva, Fernanda Abilleira, Clarice Brum, Ana J. Reis, Maíra Macedo, João L. Scaini, Ana B. Silva, Leonardo Esteves, Rita Macedo, Fernando Maltez, Sofia Clemente, Elizabeth Coelho, Sofia Viegas, Paulo RabnaAmabélia Rodrigues, Nuno Taveira, Luísa Jordao, Afrânio Kritski, José Lapa e Silva, Igor Mokrousov, David Couvin, Nalin Rastogi, Isabel Couto, Arnab Pain, Ruth McNerney, Taane G. Clark, Andrea von Groll, Elis R. Dalla-Costa, Maria Lúcia Rossetti, Pedro E.A. da Silva, Miguel Viveiros, Isabel Portugal

Research output: Contribution to journalArticlepeer-review

11 Scopus citations

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 languageEnglish (US)
Pages (from-to)44-58
Number of pages15
JournalInfection, Genetics and Evolution
Volume72
DOIs
StatePublished - Mar 18 2018

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