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Detalle de: Development and application of affordable SNP typing approaches to genotype Mycobacterium tuberculosis complex strains in low and high burden countries

Title Development and application of affordable SNP typing approaches to genotype Mycobacterium tuberculosis complex strains in low and high burden countries
Abstract

The Mycobacterium tuberculosis complex (MTBC) comprises the species that causes tuberculosis (TB) which affects 10 million people every year. A robust classification of species, lineages, and sub-lineages is important to explore associations with drug resistance, epidemiological patterns or clinical outcomes. We present a rapid and easy-to-follow methodology to classify clinical TB samples into the main MTBC clades. Approaches are based on the identification of lineage and sub-lineage diagnostic SNP using a real-time PCR high resolution melting assay and classic Sanger sequencing from low-concentrated, low quality DNA. Thus, suitable for implementation in middle and low-income countries. Once we validated our molecular procedures, we characterized a total of 491 biological samples from human and cattle hosts, representing countries with different TB burden. Overall, we managed to genotype ~95% of all samples despite coming from unpurified and low-concentrated DNA. Our approach also allowed us to detect zoonotic cases in eight human samples from Nigeria. To conclude, the molecular techniques we have developed, are accurate, discriminative and reproducible. Furthermore, it costs less than other classic typing methods, resulting in an affordable alternative method in TB laboratories.

Apa Reference Cancino-Muñoz, I., Gil-Brusola, A., Torres-Puente, M., Mariner-Llicer, C., Dogba, J., Akinseye, V., Adesokan, K., Kwaghe, A., Ejeh, F., Cadmus, S. & Comas, I. (2019). Development and application of affordable SNP typing approaches to genotype Mycobacterium tuberculosis complex strains in low and high burden countries. Scientific Reports, 9(1). 10.1038/s41598-019-51326-2
Doi 10.1038/s41598-019-51326-2
Publication Date 25 Oct 2019
Publication Type Article
Researcher Iñaki Comas Espadas
Ontology Expression Profiling, Population genomics, Development, Clinical data, Animal health, Drug resistance
Research Groups
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