ArticlePLoS neglected tropical diseases2021
Identification of drug resistance mutations among Mycobacterium bovis lineages in the Americas.
Article in PLoS neglected tropical diseases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 16 citations in OpenAlex.
- Article
- Investigation of potential relationship betweenmazEF3, relJK, and vapBC3 genes and antimicrobial resistance inMycobacterium bovis.BMC infectious diseases · 2025Article
- Genetic diversity and antibiotic resistance ofFrontiers in cellular and infection microbiology · 2025Article
- Genetic diversities and drug resistance in Mycobacterium bovis isolates from zoonotic tuberculosis using whole genome sequencing.BMC genomics · 2024Article
- A one health-focused literature review on bovine and zoonotic tuberculosis in Pakistan from the past two decades: challenges and way forward for control.One health (Amsterdam, Netherlands) · 2024Review
- Development and evaluation of a triplex droplet digital PCR method for differentiation ofFrontiers in microbiology · 2024Article
- Correction: Identification of drug resistance mutations among Mycobacterium bovis lineages in the Americas.PLoS neglected tropical diseases · 2023Article
- Genomic analysis ofFrontiers in veterinary science · 2022Article
- Diversity ofInfection and drug resistance · 2022Article
- Whole-Genome SNP Analysis Identifies PutativeMicroorganisms · 2021Article
Corrections and comments
- Erratum issued
Authors and funding
10 authors at 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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.
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