Identification of drug resistance mutations among Mycobacterium bovis lineages in the Americas.
Identifying the Mycobacterium tuberculosis resistance mutation patterns is of the utmost importance to assure proper patient's management and devising of control programs aimed to limit spread of disease. Zoonotic Mycobacterium bovis infection still represents a threat to human health, particul...
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ftdoajarticles:oai:doaj.org/article:f57e12cd9c0c4534ae699c35dda9db08 2023-05-15T15:09:15+02:00 Identification of drug resistance mutations among Mycobacterium bovis lineages in the Americas. Carlos Arturo Vázquez-Chacón Felipe de Jesús Rodríguez-Gaxiola Cruz Fernando López-Carrera Mayra Cruz-Rivera Armando Martínez-Guarneros Ricardo Parra-Unda Eliakym Arámbula-Meraz Salvador Fonseca-Coronado Gilberto Vaughan Paúl Alexis López-Durán 2021-02-01T00:00:00Z https://doi.org/10.1371/journal.pntd.0009145 https://doaj.org/article/f57e12cd9c0c4534ae699c35dda9db08 EN eng Public Library of Science (PLoS) https://doi.org/10.1371/journal.pntd.0009145 https://doaj.org/toc/1935-2727 https://doaj.org/toc/1935-2735 1935-2727 1935-2735 doi:10.1371/journal.pntd.0009145 https://doaj.org/article/f57e12cd9c0c4534ae699c35dda9db08 PLoS Neglected Tropical Diseases, Vol 15, Iss 2, p e0009145 (2021) Arctic medicine. Tropical medicine RC955-962 Public aspects of medicine RA1-1270 article 2021 ftdoajarticles https://doi.org/10.1371/journal.pntd.0009145 2023-01-29T01:27:48Z Identifying the Mycobacterium tuberculosis resistance mutation patterns is of the utmost importance to assure proper patient's management and devising of control programs aimed to limit spread of disease. Zoonotic Mycobacterium bovis infection still represents a threat to human health, particularly in dairy production regions. Routinary, molecular characterization of M. bovis is performed primarily by spoligotyping and mycobacterial interspersed repetitive units (MIRU) while next generation sequencing (NGS) approaches are often performed by reference laboratories. However, spoligotyping and MIRU methodologies lack the resolution required for the fine characterization of tuberculosis isolates, particularly in outbreak settings. In conjunction with sophisticated bioinformatic algorithms, whole genome sequencing (WGS) analysis is becoming the method of choice for advanced genetic characterization of tuberculosis isolates. WGS provides valuable information on drug resistance and compensatory mutations that other technologies cannot assess. Here, we performed an analysis of the most frequently identified mutations associated with tuberculosis drug resistance and their genetic relationship among 2,074 Mycobacterium bovis WGS recovered primarily from non-human hosts. Full-length gene sequences harboring drug resistant associated mutations and their phylogenetic relationships were analyzed. The results showed that M. bovis isolates harbor mutations conferring resistance to both first- and second-line antibiotics. Mutations conferring resistance for isoniazid, fluoroquinolones, streptomycin, and aminoglycosides were identified among animal strains. Our findings highlight the importance of molecular surveillance to monitor the emergence of mutations associated with multi and extensive drug resistance in livestock and other non-human mammals. Article in Journal/Newspaper Arctic Human health Directory of Open Access Journals: DOAJ Articles Arctic PLOS Neglected Tropical Diseases 15 2 e0009145 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
Arctic medicine. Tropical medicine RC955-962 Public aspects of medicine RA1-1270 |
spellingShingle |
Arctic medicine. Tropical medicine RC955-962 Public aspects of medicine RA1-1270 Carlos Arturo Vázquez-Chacón Felipe de Jesús Rodríguez-Gaxiola Cruz Fernando López-Carrera Mayra Cruz-Rivera Armando Martínez-Guarneros Ricardo Parra-Unda Eliakym Arámbula-Meraz Salvador Fonseca-Coronado Gilberto Vaughan Paúl Alexis López-Durán Identification of drug resistance mutations among Mycobacterium bovis lineages in the Americas. |
topic_facet |
Arctic medicine. Tropical medicine RC955-962 Public aspects of medicine RA1-1270 |
description |
Identifying the Mycobacterium tuberculosis resistance mutation patterns is of the utmost importance to assure proper patient's management and devising of control programs aimed to limit spread of disease. Zoonotic Mycobacterium bovis infection still represents a threat to human health, particularly in dairy production regions. Routinary, molecular characterization of M. bovis is performed primarily by spoligotyping and mycobacterial interspersed repetitive units (MIRU) while next generation sequencing (NGS) approaches are often performed by reference laboratories. However, spoligotyping and MIRU methodologies lack the resolution required for the fine characterization of tuberculosis isolates, particularly in outbreak settings. In conjunction with sophisticated bioinformatic algorithms, whole genome sequencing (WGS) analysis is becoming the method of choice for advanced genetic characterization of tuberculosis isolates. WGS provides valuable information on drug resistance and compensatory mutations that other technologies cannot assess. Here, we performed an analysis of the most frequently identified mutations associated with tuberculosis drug resistance and their genetic relationship among 2,074 Mycobacterium bovis WGS recovered primarily from non-human hosts. Full-length gene sequences harboring drug resistant associated mutations and their phylogenetic relationships were analyzed. The results showed that M. bovis isolates harbor mutations conferring resistance to both first- and second-line antibiotics. Mutations conferring resistance for isoniazid, fluoroquinolones, streptomycin, and aminoglycosides were identified among animal strains. Our findings highlight the importance of molecular surveillance to monitor the emergence of mutations associated with multi and extensive drug resistance in livestock and other non-human mammals. |
format |
Article in Journal/Newspaper |
author |
Carlos Arturo Vázquez-Chacón Felipe de Jesús Rodríguez-Gaxiola Cruz Fernando López-Carrera Mayra Cruz-Rivera Armando Martínez-Guarneros Ricardo Parra-Unda Eliakym Arámbula-Meraz Salvador Fonseca-Coronado Gilberto Vaughan Paúl Alexis López-Durán |
author_facet |
Carlos Arturo Vázquez-Chacón Felipe de Jesús Rodríguez-Gaxiola Cruz Fernando López-Carrera Mayra Cruz-Rivera Armando Martínez-Guarneros Ricardo Parra-Unda Eliakym Arámbula-Meraz Salvador Fonseca-Coronado Gilberto Vaughan Paúl Alexis López-Durán |
author_sort |
Carlos Arturo Vázquez-Chacón |
title |
Identification of drug resistance mutations among Mycobacterium bovis lineages in the Americas. |
title_short |
Identification of drug resistance mutations among Mycobacterium bovis lineages in the Americas. |
title_full |
Identification of drug resistance mutations among Mycobacterium bovis lineages in the Americas. |
title_fullStr |
Identification of drug resistance mutations among Mycobacterium bovis lineages in the Americas. |
title_full_unstemmed |
Identification of drug resistance mutations among Mycobacterium bovis lineages in the Americas. |
title_sort |
identification of drug resistance mutations among mycobacterium bovis lineages in the americas. |
publisher |
Public Library of Science (PLoS) |
publishDate |
2021 |
url |
https://doi.org/10.1371/journal.pntd.0009145 https://doaj.org/article/f57e12cd9c0c4534ae699c35dda9db08 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Human health |
genre_facet |
Arctic Human health |
op_source |
PLoS Neglected Tropical Diseases, Vol 15, Iss 2, p e0009145 (2021) |
op_relation |
https://doi.org/10.1371/journal.pntd.0009145 https://doaj.org/toc/1935-2727 https://doaj.org/toc/1935-2735 1935-2727 1935-2735 doi:10.1371/journal.pntd.0009145 https://doaj.org/article/f57e12cd9c0c4534ae699c35dda9db08 |
op_doi |
https://doi.org/10.1371/journal.pntd.0009145 |
container_title |
PLOS Neglected Tropical Diseases |
container_volume |
15 |
container_issue |
2 |
container_start_page |
e0009145 |
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1766340480774176768 |