An evolutionary functional genomics approach identifies novel candidate regions involved in isoniazid resistance in Mycobacterium tuberculosis


Por: Furió V, Moreno-Molina M, Chiner-Oms Á, Villamayor LM, Torres-Puente M and Comas I

Publicada: 24 nov 2021 Ahead of Print: 24 nov 2021
Resumen:
Efforts to eradicate tuberculosis are hampered by the rise and spread of antibiotic resistance. Several large-scale projects have aimed to specifically link clinical mutations to resistance phenotypes, but they were limited in both their explanatory and predictive powers. Here, we combine functional genomics and phylogenetic associations using clinical strain genomes to decipher the architecture of isoniazid resistance and search for new resistance determinants. This approach has allowed us to confirm the main target route of the antibiotic, determine the clinical relevance of redox metabolism as an isoniazid resistance mechanism and identify novel candidate genes harboring resistance mutations in strains with previously unexplained isoniazid resistance. This approach can be useful for characterizing how the tuberculosis bacilli acquire resistance to new antibiotics and how to forestall them. Victoria Furio et al. apply functional genomics and evolutionary analyses to the study of antibiotic resistance in tuberculosis. Focusing on isoniazid resistance and using genomic data from clinical strains, they identify novel candidate genes with resistance mutations and further uncover the mechanisms underlying drug resistance.

Filiaciones:
Furió V:
 Institute of Biomedicine of Valencia (IBV-CSIC), Valencia, 46020, Spain.

Moreno-Molina M:
 Institute of Biomedicine of Valencia (IBV-CSIC), Valencia, 46020, Spain

:
 Institute of Biomedicine of Valencia (IBV-CSIC), Valencia, 46020, Spain

:
 FISABIO Public Health (CSISP), Valencia, 46010, Spain

:
 Institute of Biomedicine of Valencia (IBV-CSIC), Valencia, 46020, Spain

:
 Institute of Biomedicine of Valencia (IBV-CSIC), Valencia, 46020, Spain

 CIBER in Epidemiology and Public Health, Madrid, 28029, Spain
ISSN: 23993642





Communications Biology
Editorial
Springer Nature, England, Reino Unido
Tipo de documento: Article
Volumen: 4 Número: 1
Páginas: 1322-1322
WOS Id: 000722236400001
ID de PubMed: 34819627
imagen gold, Green Published, Green Submitted

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