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


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
25 10 2019
Historique:
received: 28 06 2019
accepted: 26 09 2019
entrez: 27 10 2019
pubmed: 28 10 2019
medline: 31 10 2020
Statut: epublish

Résumé

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.

Identifiants

pubmed: 31653874
doi: 10.1038/s41598-019-51326-2
pii: 10.1038/s41598-019-51326-2
pmc: PMC6814786
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

15343

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Auteurs

Irving Cancino-Muñoz (I)

Instituto de Biomedicina de Valencia (IBV-CSIC), Valencia, Spain.
FISABIO Public Health, Genomics and Health Unit, Valencia, Spain.

Ana Gil-Brusola (A)

Hospital Universitari I Politècnic La Fe, Microbiology Department, Valencia, Spain.

Manuela Torres-Puente (M)

Instituto de Biomedicina de Valencia (IBV-CSIC), Valencia, Spain.

Carla Mariner-Llicer (C)

Instituto de Biomedicina de Valencia (IBV-CSIC), Valencia, Spain.

John Dogba (J)

University of Ibadan, Department of Veterinary Public Health & Preventive Medicine, Ibadan, Nigeria.
University of Ibadan, Centre for Control and Prevention of Zoonosis, Ibadan, Nigeria.

Victor Akinseye (V)

University of Ibadan, Department of Veterinary Public Health & Preventive Medicine, Ibadan, Nigeria.

Kehinde Adesokan (K)

University of Ibadan, Department of Veterinary Public Health & Preventive Medicine, Ibadan, Nigeria.

Ayi Kwaghe (A)

Federal Ministry of Agriculture and Rural Development, Department of Veterinary and Pest Control Services, Garki, Nigeria.

Francis Ejeh (F)

University of Maiduguri, Department of Veterinary Microbiology, Maiduguri, Nigeria.

Simeon Cadmus (S)

University of Ibadan, Department of Veterinary Public Health & Preventive Medicine, Ibadan, Nigeria.
University of Ibadan, Centre for Control and Prevention of Zoonosis, Ibadan, Nigeria.

Iñaki Comas (I)

Instituto de Biomedicina de Valencia (IBV-CSIC), Valencia, Spain. icomas@ibv.csic.es.
CIBER of Epidemiology and Public Health (CIBERESP), Madrid, Spain. icomas@ibv.csic.es.

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Classifications MeSH