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An Epistatic Network Describes oppA and glgB as Relevant Genes for Mycobacterium tuberculosis.
Posada-Reyes, Ali-Berenice; Balderas-Martínez, Yalbi I; Ávila-Ríos, Santiago; Vinuesa, Pablo; Fonseca-Coronado, Salvador.
Afiliación
  • Posada-Reyes AB; Posgrado en Ciencias Biológicas, UNAM, Mexico, Mexico.
  • Balderas-Martínez YI; Facultad de Estudios Superiores Cuautitlán, UNAM, Estado de Mexico, Mexico.
  • Ávila-Ríos S; Instituto Nacional de Enfermedades Respiratorias "Ismael Cosio Villegas", Ciudad de Mexico, Mexico.
  • Vinuesa P; Instituto Nacional de Enfermedades Respiratorias "Ismael Cosio Villegas", Ciudad de Mexico, Mexico.
  • Fonseca-Coronado S; Centro de Ciencias Genómicas, UNAM, Cuernavaca, Mexico.
Front Mol Biosci ; 9: 856212, 2022.
Article en En | MEDLINE | ID: mdl-35712352
ABSTRACT
Mycobacterium tuberculosis is an acid-fast bacterium that causes tuberculosis worldwide. The role of epistatic interactions among different loci of the M. tuberculosis genome under selective pressure may be crucial for understanding the disease and the molecular basis of antibiotic resistance acquisition. Here, we analyzed polymorphic loci interactions by applying a model-free method for epistasis detection, SpydrPick, on a pan-genome-wide alignment created from a set of 254 complete reference genomes. By means of the analysis of an epistatic network created with the detected epistatic interactions, we found that glgB (α-1,4-glucan branching enzyme) and oppA (oligopeptide-binding protein) are putative targets of co-selection in M. tuberculosis as they were associated in the network with M. tuberculosis genes related to virulence, pathogenesis, transport system modulators of the immune response, and antibiotic resistance. In addition, our work unveiled potential pharmacological applications for genotypic antibiotic resistance inherent to the mutations of glgB and oppA as they epistatically interact with fprA and embC, two genes recently included as antibiotic-resistant genes in the catalog of the World Health Organization. Our findings showed that this approach allows the identification of relevant epistatic interactions that may lead to a better understanding of M. tuberculosis by deciphering the complex interactions of molecules involved in its metabolism, virulence, and pathogenesis and that may be applied to different bacterial populations.
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Texto completo: 1 Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Front Mol Biosci Año: 2022 Tipo del documento: Article País de afiliación: México

Texto completo: 1 Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Front Mol Biosci Año: 2022 Tipo del documento: Article País de afiliación: México