ArticleBMC genomics2022
Comparative genome analysis of mycobacteria focusing on tRNA and non-coding RNA.
Article in BMC genomics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 16 citations in OpenAlex.
- The mycobacterial selenocysteine machinery: presence and expression.RNA biology · 2026Article
- Comparative genomics and transcriptomics of rough and smooth Mycobacterium marinum focusing on ESX-1, ESX-6 and LOS genes.Scientific reports · 2026Article
- Genome comparison of the bacteria in Mycobacterium avium complex (MAC) reveals the role of translational selection in shaping codon usage patterns.Molecular genetics and genomics : MGG · 2026Article
- 5-Substituted 4-Thiouridines, 4-Thio-2'-deoxyuridines and Their Oligoglycol Carbonate Prodrugs as Promising Antimicrobial Agents.International journal of molecular sciences · 2025Article
- Population structure ofMicrobial genomics · 2025Article
- Comparative Analysis of Evolutionary Distances Using the GenusInternational journal of molecular sciences · 2025Article
- Comparative Analysis of Virulence Genes in Non-Tuberculosis Mycobacteria (NTM) Isolated from Kenyan Camel Milk Suggests Potential Pathogenicity.Current microbiology · 2025Article
- Age-Dependent Pleomorphism inMicroorganisms · 2025Article
- NGS-based approach for diagnostically unidentifiedFrontiers in cellular and infection microbiology · 2025Article
- Biochip-Based Identification of Mycobacterial Species in Russia.International journal of molecular sciences · 2024Article
- Nucleotidyltransferase toxin MenT extends aminoacyl acceptor ends of serine tRNAs to control Mycobacterium tuberculosis growth.Nature communications · 2024Article
- The Intriguing Pattern of Nontuberculous Mycobacteria in Bulgaria and Description ofInternational journal of molecular sciences · 2024Article
- MenT nucleotidyltransferase toxins extend tRNA acceptor stems and can be inhibited by asymmetrical antitoxin binding.Nature communications · 2023Article
Corrections and comments
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe Mycobacterium genus encompasses at least 192 named species, many of which cause severe diseases such as tuberculosis. Non-tuberculosis mycobacteria (NTM) can also infect humans and animals. Some are of emerging concern because they show high resistance to commonly used antibiotics while others are used and evaluated in bioremediation or included in anticancer vaccines.
resultsWe provide the genome sequences for 114 mycobacterial type strains and together with 130 available mycobacterial genomes we generated a phylogenetic tree based on 387 core genes and supported by average nucleotide identity (ANI) data. The 244 genome sequences cover most of the species constituting the Mycobacterium genus. The genome sizes ranged from 3.2 to 8.1 Mb with an average of 5.7 Mb, and we identified 14 new plasmids. Moreover, mycobacterial genomes consisted of phage-like sequences ranging between 0 and 4.64% dependent on mycobacteria while the number of IS elements varied between 1 and 290. Our data also revealed that, depending on the mycobacteria, the number of tRNA and non-coding (nc) RNA genes differ and that their positions on the chromosome varied. We identified a conserved core set of 12 ncRNAs, 43 tRNAs and 18 aminoacyl-tRNA synthetases among mycobacteria.
conclusionsPhages, IS elements, tRNA and ncRNAs appear to have contributed to the evolution of the Mycobacterium genus where several tRNA and ncRNA genes have been horizontally transferred. On the basis of our phylogenetic analysis, we identified several isolates of unnamed species as new mycobacterial species or strains of known mycobacteria. The predicted number of coding sequences correlates with genome size while the number of tRNA, rRNA and ncRNA genes does not. Together these findings expand our insight into the evolution of the Mycobacterium genus and as such they establish a platform to understand mycobacterial pathogenicity, their evolution, antibiotic resistance/tolerance as well as the function and evolution of ncRNA among mycobacteria.
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