Evidence map›Paper›PMID 24454310›Full record

ReviewFrontiers in microbiology2014

Allelic variation in Salmonella: an underappreciated driver of adaptation and virulence.

Min Yue, Dieter M Schifferli

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in microbiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
4.1field-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

21 citing papers in PubMed, 38 citations in OpenAlex.

  1. Article
  2. Article
  3. Assessing phenotypic virulence ofFrontiers in microbiology · 2023
    Article
  4. Characterization of Two-Component System CitB Family inInternational journal of molecular sciences · 2022
    Article
  5. Virulence Comparison ofMicroorganisms · 2021
    Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Emergence and Dissemination ofMicroorganisms · 2019
    Review
  11. Article
  12. Article
  13. A review ofVeterinary world · 2019
    Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

2 authors at 1 institution in 1 country.

Min YueDepartment of Pathobiology, School of Veterinary Medicine, University of Pennsylvania Philadelphia, PA, USA.
Dieter M SchifferliDepartment of Pathobiology, School of Veterinary Medicine, University of Pennsylvania Philadelphia, PA, USA.
University of Pennsylvania · US

Funding

Allelic variants of Salmonella fimbrial adhesinsR21AI098041 · NIAID · UNIVERSITY OF PENNSYLVANIA · PI SCHIFFERLI, DIETER M. · 2012 to 2013
$428k
NIAID NIH HHS R21 AI098041
6 · The paper itself

Abstract

Salmonella enterica causes substantial morbidity and mortality in humans and animals. Infection and intestinal colonization by S. enterica require virulence factors that mediate bacterial binding and invasion of enterocytes and innate immune cells. Some S. enterica colonization factors and their alleles are host restricted, suggesting a potential role in regulation of host specificity. Recent data also suggest that colonization factors promote horizontal gene transfer of antimicrobial resistance genes by increasing the local density of Salmonella in colonized intestines. Although a profusion of genes are involved in Salmonella pathogenesis, the relative importance of their allelic variation has only been studied intensely in the type 1 fimbrial adhesin FimH. Although other Salmonella virulence factors demonstrate allelic variation, their association with specific metadata (e.g., host species, disease or carrier state, time and geographic place of isolation, antibiotic resistance profile, etc.) remains to be interrogated. To date, genome-wide association studies (GWAS) in bacteriology have been limited by the paucity of relevant metadata. In addition, due to the many variables amid metadata categories, a very large number of strains must be assessed to attain statistically significant results. However, targeted approaches in which genes of interest (e.g., virulence factors) are specifically sequenced alleviates the time-consuming and costly statistical GWAS analysis and increases statistical power, as larger numbers of strains can be screened for non-synonymous single nucleotide polymorphisms (SNPs) that are associated with available metadata. Congruence of specific allelic variants with specific metadata from strains that have a relevant clinical and epidemiological history will help to prioritize functional wet-lab and animal studies aimed at determining cause-effect relationships. Such an approach should be applicable to other pathogens that are being collected in well-curated repositories.

Indexed as

adhesincolonizationinvasionSalmonellaSNPsT3SS

Identifiers

PMID24454310
PMCPMC3882659
OpenAlexW2037315309

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.