Characterization of integrated prophages within diverse species of clinical nontuberculous mycobacteria.

Autor: Glickman C; Center for Genes, Environment, and Health, National Jewish Health, Denver, CO, USA. cody.glickman@cuanschutz.edu.; Computational Bioscience Program, University of Colorado, Anschutz Medical Campus, Aurora, CO, USA. cody.glickman@cuanschutz.edu., Kammlade SM; Center for Genes, Environment, and Health, National Jewish Health, Denver, CO, USA., Hasan NA; Center for Genes, Environment, and Health, National Jewish Health, Denver, CO, USA., Epperson LE; Center for Genes, Environment, and Health, National Jewish Health, Denver, CO, USA., Davidson RM; Center for Genes, Environment, and Health, National Jewish Health, Denver, CO, USA., Strong M; Center for Genes, Environment, and Health, National Jewish Health, Denver, CO, USA.; Computational Bioscience Program, University of Colorado, Anschutz Medical Campus, Aurora, CO, USA.
Jazyk: angličtina
Zdroj: Virology journal [Virol J] 2020 Aug 17; Vol. 17 (1), pp. 124. Date of Electronic Publication: 2020 Aug 17.
DOI: 10.1186/s12985-020-01394-y
Abstrakt: Background: Nontuberculous mycobacterial (NTM) infections are increasing in prevalence, with current estimates suggesting that over 100,000 people in the United States are affected each year. It is unclear how certain species of mycobacteria transition from environmental bacteria to clinical pathogens, or what genetic elements influence the differences in virulence among strains of the same species. A potential mechanism of genetic evolution and diversity within mycobacteria is the presence of integrated viruses called prophages in the host genome. Prophages may act as carriers of bacterial genes, with the potential of altering bacterial fitness through horizontal gene transfer. In this study, we quantify the frequency and composition of prophages within mycobacteria isolated from clinical samples and compare them against the composition of PhagesDB, an environmental mycobacteriophage database.
Methods: Prophages were predicted by agreement between two discovery tools, VirSorter and Phaster, and the frequencies of integrated prophages were compared by growth rate. Prophages were assigned to PhagesDB lettered clusters. Bacterial virulence gene frequency was calculated using a combination of the Virulence Factor Database (VFDB) and the Pathosystems Resource Integration Center virulence database (Patric-VF) within the gene annotation software Prokka. CRISPR elements were discovered using CRT. ARAGORN was used to quantify tRNAs.
Results: Rapidly growing mycobacteria (RGM) were more likely to contain prophage than slowly growing mycobacteria (SGM). CRISPR elements were not associated with prophage abundance in mycobacteria. The abundance of tRNAs was enriched in SGM compared to RGM. We compared the abundance of bacterial virulence genes within prophage genomes from clinical isolates to mycobacteriophages from PhagesDB. Our data suggests that prophages from clinical mycobacteria are enriched for bacterial virulence genes relative to environmental mycobacteriophage from PhagesDB.
Conclusion: Prophages are present in clinical NTM isolates. Prophages are more likely to be present in RGM compared to SGM genomes. The mechanism and selective advantage of this enrichment by growth rate remain unclear. In addition, the frequency of bacterial virulence genes in prophages from clinical NTM is enriched relative to the PhagesDB environmental proxy. This suggests prophages may act as a reservoir of genetic elements bacteria could use to thrive within a clinical environment.
Databáze: MEDLINE
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