Phylogenomic analysis and Mycobacterium tuberculosis antibiotic resistance prediction by whole-genome sequencing from clinical isolates of Caldas, Colombia.

Mycobacterium tuberculosis (M. tuberculosis) was the pathogen responsible for the highest number of deaths from infectious diseases in the world, before the arrival of the COVID-19 pandemic. Whole genome sequencing (WGS) has contributed to the understanding of genetic diversity, the mechanisms involved in drug resistance and the transmission dynamics of this pathogen. The object of this study is to use WGS for the epidemiological and molecular characterization of M. tuberculosis clinical strains from Chinchiná, Caldas, a small town in Colombia with a high incidence of TB. Sputum samples were obtained during the first semester of 2020 from six patients and cultured in solid Löwenstein-Jensen medium. DNA extraction was obtained from positive culture samples and WGS was performed with the Illumina HiSeq 2500 platform for subsequent bioinformatic analysis. M. tuberculosis isolates were typified as Euro-American lineage 4 with a predominance of the Harlem and LAM sublineages. All samples were proven sensitive to antituberculosis drugs by genomic analysis, although no phenotype antimicrobial tests were performed on the samples, unreported mutations were identified that could require further analysis. The present study provides preliminary data for the construction of a genomic database line and the follow-up of lineages in this region..

Medienart:

E-Artikel

Erscheinungsjahr:

2021

Erschienen:

2021

Enthalten in:

Zur Gesamtaufnahme - volume:16

Enthalten in:

PLoS ONE - 16(2021), 10, p e0258402

Sprache:

Englisch

Beteiligte Personen:

Lusayda Sánchez-Corrales [VerfasserIn]
Olga Lucía Tovar-Aguirre [VerfasserIn]
Narmer Fernando Galeano-Vanegas [VerfasserIn]
Paula Alejandra Castaño Jiménez [VerfasserIn]
Ruth Arali Martínez-Vega [VerfasserIn]
Carlos Ernesto Maldonado-Londoño [VerfasserIn]
Johan Sebastián Hernández-Botero [VerfasserIn]
Fernando Siller-López [VerfasserIn]

Links:

doi.org [kostenfrei]
doaj.org [kostenfrei]
doi.org [kostenfrei]
Journal toc [kostenfrei]

Themen:

Medicine
Q
R
Science

doi:

10.1371/journal.pone.0258402

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

DOAJ048461954