Evidence map›Paper›PMID 23863604›Full record

ArticleVirulence2013

Common and pathogen-specific virulence factors are different in function and structure.

Chao Niu, Dong Yu, Yuelan Wang, Hongguang Ren, Yuan Jin, Wei Zhou, Beiping Li, Yiyong Cheng, Junjie Yue, Zhixian Gao and 1 more

Open access · goldAbstract read
In one paragraph

Article in Virulence, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
1.6field-weighted citation impact, top 16% 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

36 citing papers in PubMed, 61 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. A new lexicon in the age of microbiome research.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024
    Review
  7. Article
  8. Article
  9. The Prevalence of the Virulence Genes ofAntibiotics (Basel, Switzerland) · 2023
    Article
  10. Article
  11. Review
  12. Review
  13. Article
  14. Article
  15. Review
  16. Article
  17. NovelFrontiers in microbiology · 2022
    Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 1 institution in 1 country.

Chao NiuTianjin Institute of Health & Environmental Medicine, Tianjin, People's Republic of China.
Dong Yu
Yuelan Wang
Hongguang Ren
Yuan Jin
Wei Zhou
Beiping Li
Yiyong Cheng
Junjie Yue
Zhixian Gao
Long Liang
Czech Academy of Sciences, Institute of Biotechnology · CZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the process of host-pathogen interactions, bacterial pathogens always employ some special genes, e.g., virulence factors (VFs) to interact with host and cause damage or diseases to host. A number of VFs have been identified in bacterial pathogens that confer upon bacterial pathogens the ability to cause various types of damage or diseases. However, it has been clarified that some of the identified VFs are also encoded in the genomes of nonpathogenic bacteria, and this finding gives rise to considerable controversy about the definition of virulence factor. Here 1988 virulence factors of 51 sequenced pathogenic bacterial genomes from the virulence factor database (VFDB) were collected, and an orthologous comparison to a non-pathogenic bacteria protein database was conducted using the reciprocal-best-BLAST-hits approach. Six hundred and twenty pathogen-specific VFs and 1368 common VFs (present in both pathogens and nonpathogens) were identified, which account for 31.19% and 68.81% of the total VFs, respectively. The distribution of pathogen-specific VFs and common VFs in pathogenicity islands (PAIs) was systematically investigated, and pathogen-specific VFs were more likely to be located in PAIs than common VFs. The function of the two classes of VFs were also analyzed and compared in depth. Our results indicated that most but not all T3SS proteins are pathogen-specific. T3SS effector proteins tended to be distributed in pathogen-specific VFs, whereas T3SS translocation proteins, apparatus proteins, and chaperones were inclined to be distributed in common VFs. We also observed that exotoxins were located in both pathogen-specific and common VFs. In addition, the architecture of the two classes of VFs was compared, and the results indicated that common VFs had a higher domain number and lower domain coverage value, revealed that common VFs tend to be more complex and less compact proteins.

Indexed as

BacteriaBacterial InfectionsBacterial ProteinsGenome, BacterialGenomic IslandsHost-Pathogen InteractionsHumansVirulence FactorsBacterial ProteinsVirulence Factorsbacterial pathogenscommon virulence factorpathogen-specific virulence factor

Identifiers

PMID23863604
PMCPMC5359729
OpenAlexW1990452068

What OpenQuestion holds

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LicenceCC BY-NC
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.