Whole-genome sequencing as a tool for studying the microevolution of drug-resistant serial Mycobacterium tuberculosis isolates.

Abstract

Treatment of drug-resistant tuberculosis requires extended use of more toxic and less effective drugs and may result in retreatment cases due to failure, abandonment or disease recurrence. It is therefore important to understand the evolutionary process of drug resistance in Mycobacterium tuberculosis. We here in describe the microevolution of drug resistance in serial isolates from six previously treated patients. Drug resistance was initially investigated through phenotypic methods, followed by genotypic approaches. The use of whole-genome sequencing allowed the identification of mutations in the katG, rpsL and rpoB genes associated with drug resistance, including the detection of rare mutations in katG and mixed populations of strains. Molecular docking simulation studies of the impact of observed mutations on isoniazid binding were also performed. Whole-genome sequencing detected 266 single nucleotide polymorphisms between two isolates obtained from one patient, suggesting a case of exogenous reinfection. In conclusion, sequencing technologies can detect rare mutations related to drug resistance, identify subpopulations of resistant strains, and identify diverse populations of strains due to exogenous reinfection, thus improving tuberculosis control by guiding early implementation of appropriate clinical and therapeutic interventions.

• Authors: Jaciara de Lourdes do Carmo Guimarães Diniz, Andrea von Groll, Gisela Unis, Elis Regina Dalla-Costa, Maria Lúcia Rosa Rossetti, Júlia Silveira Vianna, Daniela Fernandes Ramos, Ana Júlia Reis, Priscila Cristina Bartolomeu Halicki, João Luis Rheingantz Scaini, Yasmin Castillos de Ibrahim das Neves, Jody Phelan, Ana Rita Gomes, Susana Campino, Karina Dos Santos Machado, Adriano Velasque Werhli, Arnab Pain, Taane Gregory Clark, João Perdigão, Miguel Viveiros, Isabel Portugal, Pedro Eduardo Almeida Silva
• Journal: Tuberculosis (Edinburgh, Scotland) (Tuberculosis (Edinb)) Vol. 131 Pg. 102137 (12 2021) ISSN: 1873-281X [Electronic] Scotland
• PMID: 34673379 (Publication Type: Journal Article, Research Support, Non-U.S. Gov't)
• Copyright: Copyright © 2021 Elsevier Ltd. All rights reserved.

Topics

• Brazil
• Drug Resistance (genetics, immunology)
• Genome-Wide Association Study (methods, statistics & numerical data)
• Humans
• Microbial Sensitivity Tests (methods, statistics & numerical data)
• Mycobacterium tuberculosis (drug effects, immunology, isolation & purification)
• Tuberculosis, Multidrug-Resistant (microbiology)