Evidence map›Paper›PMID 32807206›Full record

ArticleVirology journal2020

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

Cody Glickman, Sara M Kammlade, Nabeeh A Hasan, L Elaine Epperson, Rebecca M Davidson, Michael Strong

Open access · goldAbstract read
In one paragraph

Article in Virology journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
3.3field-weighted citation impact, top 7% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed, 25 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Genome Sequence of Mycobacterium abscessus Phage phiT45-1.Microbiology resource announcements · 2021
    Article
  17. Genome Sequence of Mycobacterium abscessus Phage phiT46-1.Microbiology resource announcements · 2021
    Article
  18. Considerations for Phage Therapy AgainstFrontiers in microbiology · 2020
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Cody GlickmanCenter for Genes, Environment, and Health, National Jewish Health, Denver, CO, USA. cody.glickman@cuanschutz.edu.ORCID 0000-0002-6648-4832
Sara M KammladeCenter for Genes, Environment, and Health, National Jewish Health, Denver, CO, USA.
Nabeeh A HasanCenter for Genes, Environment, and Health, National Jewish Health, Denver, CO, USA.
L Elaine EppersonCenter for Genes, Environment, and Health, National Jewish Health, Denver, CO, USA.
Rebecca M DavidsonCenter for Genes, Environment, and Health, National Jewish Health, Denver, CO, USA.
Michael StrongCenter for Genes, Environment, and Health, National Jewish Health, Denver, CO, USA.
National Jewish Health · US

Funding

Computational Bioscience Program Training GrantT15LM009451 · NLM · UNIVERSITY OF COLORADO DENVER · PI Katherina Kechris-Mays, Arjun Krishnan · 2007 to 2026
$11.7M
NLM NIH HHS T15 LM009451
6 · The paper itself

Abstract

backgroundNontuberculous 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.

methodsProphages 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.

resultsRapidly 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.

conclusionProphages 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.

Indexed as

Genome, BacterialLysogenyHumansMycobacterium Infections, NontuberculousNontuberculous MycobacteriaProphagesVirulenceGrowth rateMycobacteriophageNontuberculous mycobacteriaProphageVirulence

Identifiers

PMID32807206
PMCPMC7433156
OpenAlexW3049181195

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.