Evidence map›Paper›PMID 39110680›Full record

ArticlePLoS biology2024

Comprehensive blueprint of Salmonella genomic plasticity identifies hotspots for pathogenicity genes.

Simran Krishnakant Kushwaha, Yi Wu, Hugo Leonardo Avila, Abhirath Anand, Thomas Sicheritz-Pontén, Andrew Millard, Sandhya Amol Marathe, Franklin L Nobrega

Abstract read
In one paragraph

Article in PLoS biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
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

7 citing papers in PubMed.

  1. Article
  2. Microorganisms · 2026
    Review
  3. Article
  4. Genomic islands inNAR genomics and bioinformatics · 2025
    Article
  5. Article
  6. Review
  7. Article
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

8 authors.

Simran Krishnakant KushwahaDepartment of Biological Sciences, Birla Institute of Technology & Science (BITS), Pilani, Rajasthan, India.
Yi WuSchool of Biological Sciences, University of Southampton, Southampton, United Kingdom.
Hugo Leonardo AvilaLaboratory for Applied Science and Technology in Health, Instituto Carlos Chagas, FIOCRUZ Paraná, Brazil.
Abhirath AnandDepartment of Computer Sciences and Information Systems, Birla Institute of Technology & Science (BITS), Pilani, Rajasthan, India.
Thomas Sicheritz-PonténCenter for Evolutionary Hologenomics, Globe Institute, University of Copenhagen, Copenhagen, Denmark.
Andrew MillardCentre for Phage Research, Department of Genetics and Genome Biology, University of Leicester, Leicester, United Kingdom.
Sandhya Amol MaratheDepartment of Biological Sciences, Birla Institute of Technology & Science (BITS), Pilani, Rajasthan, India.
Franklin L NobregaSchool of Biological Sciences, University of Southampton, Southampton, United Kingdom.ORCID 0000-0002-8238-1083

Funding

British Council Newton Bhabha FundWessex Medical Trust
6 · The paper itself

Abstract

Understanding the dynamic evolution of Salmonella is vital for effective bacterial infection management. This study explores the role of the flexible genome, organised in regions of genomic plasticity (RGP), in shaping the pathogenicity of Salmonella lineages. Through comprehensive genomic analysis of 12,244 Salmonella spp. genomes covering 2 species, 6 subspecies, and 46 serovars, we uncover distinct integration patterns of pathogenicity-related gene clusters into RGP, challenging traditional views of gene distribution. These RGP exhibit distinct preferences for specific genomic spots, and the presence or absence of such spots across Salmonella lineages profoundly shapes strain pathogenicity. RGP preferences are guided by conserved flanking genes surrounding integration spots, implicating their involvement in regulatory networks and functional synergies with integrated gene clusters. Additionally, we emphasise the multifaceted contributions of plasmids and prophages to the pathogenicity of diverse Salmonella lineages. Overall, this study provides a comprehensive blueprint of the pathogenicity potential of Salmonella. This unique insight identifies genomic spots in nonpathogenic lineages that hold the potential for harbouring pathogenicity genes, providing a foundation for predicting future adaptations and developing targeted strategies against emerging human pathogenic strains.

Indexed as

Genome, BacterialSalmonellaEvolution, MolecularGenomicsHumansMultigene FamilyPhylogenyPlasmidsProphagesSalmonella InfectionsVirulence

Identifiers

PMID39110680
PMCPMC11305592

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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.