Evidence map›Paper›PMID 29183286›Full record

ArticleBMC microbiology2017

First gene-ontology enrichment analysis based on bacterial coregenome variants: insights into adaptations of Salmonella serovars to mammalian- and avian-hosts.

Arnaud Felten, Meryl Vila Nova, Kevin Durimel, Laurent Guillier, Michel-Yves Mistou, Nicolas Radomski

Open access · goldAbstract read
In one paragraph

Article in BMC microbiology, 2017. 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
1.7field-weighted citation impact, top 15% 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, 27 citations in OpenAlex.

  1. Article
  2. For Someone, You Are the Whole World: Host-Specificity ofInternational journal of molecular sciences · 2023
    Article
  3. Article
  4. International journal of molecular sciences · 2022
    Review
  5. Article
  6. Article
  7. Article
  8. Frontiers in microbiology · 2022
    Article
  9. Article
  10. Article
  11. First Report on the Finding ofPathogens (Basel, Switzerland) · 2020
    Article
  12. Article
  13. Article
  14. Phylogeography and Genetic Diversity ofFrontiers in microbiology · 2020
    Article
  15. Source Attribution Study of SporadicFrontiers in microbiology · 2020
    Article
  16. Article
  17. Article
  18. Large-Scale Genomic Analyses and Toxinotyping ofFrontiers in microbiology · 2019
    Article
  19. Biofilm Formation ofFrontiers in microbiology · 2019
    Article
  20. 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

6 authors at 1 institution in 1 country.

Arnaud FeltenUniversité PARIS-EST, Anses, Laboratory for food safety, Maisons-Alfort, France.
Meryl Vila NovaUniversité PARIS-EST, Anses, Laboratory for food safety, Maisons-Alfort, France.
Kevin DurimelUniversité PARIS-EST, Anses, Laboratory for food safety, Maisons-Alfort, France.
Laurent GuillierUniversité PARIS-EST, Anses, Laboratory for food safety, Maisons-Alfort, France.
Michel-Yves MistouUniversité PARIS-EST, Anses, Laboratory for food safety, Maisons-Alfort, France.
Nicolas RadomskiUniversité PARIS-EST, Anses, Laboratory for food safety, Maisons-Alfort, France. nicolas.radomski@anses.fr.ORCID http://orcid.org/0000-0002-7480-4197
Agence Nationale de Sécurité Sanitaire de l’Alimentation, de l’Environnement et du Travail · FR

Funding

Horizon 2020 643476
6 · The paper itself

Abstract

backgroundMany of the bacterial genomic studies exploring evolution processes of the host adaptation focus on the accessory genome describing how the gains and losses of genes can explain the colonization of new habitats. Consequently, we developed a new approach focusing on the coregenome in order to describe the host adaptation of Salmonella serovars.

methodsIn the present work, we propose bioinformatic tools allowing (i) robust phylogenetic inference based on SNPs and recombination events, (ii) identification of fixed SNPs and InDels distinguishing homoplastic and non-homoplastic coregenome variants, and (iii) gene-ontology enrichment analyses to describe metabolic processes involved in adaptation of Salmonella enterica subsp. enterica to mammalian- (S. Dublin), multi- (S. Enteritidis), and avian- (S. Pullorum and S. Gallinarum) hosts.

resultsThe 'VARCall' workflow produced a robust phylogenetic inference confirming that the monophyletic clade S. Dublin diverged from the polyphyletic clade S. Enteritidis which includes the divergent clades S. Pullorum and S. Gallinarum (i). The scripts 'phyloFixedVar' and 'FixedVar' detected non-synonymous and non-homoplastic fixed variants supporting the phylogenetic reconstruction (ii). The scripts 'GetGOxML' and 'EveryGO' identified representative metabolic pathways related to host adaptation using the first gene-ontology enrichment analysis based on bacterial coregenome variants (iii).

conclusionsWe propose in the present manuscript a new coregenome approach coupling identification of fixed SNPs and InDels with regards to inferred phylogenetic clades, and gene-ontology enrichment analysis in order to describe the adaptation of Salmonella serovars Dublin (i.e. mammalian-hosts), Enteritidis (i.e. multi-hosts), Pullorum (i.e. avian-hosts) and Gallinarum (i.e. avian-hosts) at the coregenome scale. All these polyvalent Bioinformatic tools can be applied on other bacterial genus without additional developments.

Indexed as

PhylogenyAdaptation, PhysiologicalAnimalsBirdsEvolution, MolecularGene OntologyGenome, BacterialHost SpecificityINDEL MutationMammalsPolymorphism, Single NucleotideRecombination, GeneticSalmonellaSerogroupBacterial fixed variantsBacterial genomicsGene-ontology enrichment analysis

Identifiers

PMID29183286
PMCPMC5706153
OpenAlexW2768899454

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.