Evidence map›Paper›PMID 32471418›Full record

ArticleBMC genomics2020

Similar yet different: phylogenomic analysis to delineate Salmonella and Citrobacter species boundaries.

Ana Victoria C Pilar, Nicholas Petronella, Forest M Dussault, Adrian J Verster, Sadjia Bekal, Roger C Levesque, Lawrence Goodridge, Sandeep Tamber

Abstract readComparative Study
In one paragraph

Article in BMC genomics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Modeling the mosaic structure of bacterial genomes to infer their evolutionary history.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Foods (Basel, Switzerland) · 2021
    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.

Ana Victoria C PilarBureau of Microbial Hazards, Health Canada, Ottawa, Ontario, Canada.
Nicholas PetronellaBureau of Food Surveillance and Science Integration, Health Canada, Ottawa, Ontario, Canada.
Forest M DussaultBureau of Food Surveillance and Science Integration, Health Canada, Ottawa, Ontario, Canada.
Adrian J VersterBureau of Food Surveillance and Science Integration, Health Canada, Ottawa, Ontario, Canada.
Sadjia BekalLaboratoire de santé publique du Québec, Ste-Anne-de-Bellevue, Quebec, Canada.
Roger C LevesqueInstitute for Integrative and Systems Biology (IBIS), Université Laval, Quebec, Quebec, Canada.
Lawrence GoodridgeDepartment of Food Science and Agricultural Chemistry, Faculty of Agricultural and Environmental Sciences, McGill University, Ste-Anne-de-Bellevue, Quebec, Canada.
Sandeep TamberBureau of Microbial Hazards, Health Canada, Ottawa, Ontario, Canada. sandeep.tamber@canada.ca.ORCID http://orcid.org/0000-0002-2240-3180

Funding

Genome Canada 8505
6 · The paper itself

Abstract

backgroundSalmonella enterica is a leading cause of foodborne illness worldwide resulting in considerable public health and economic costs. Testing for the presence of this pathogen in food is often hampered by the presence of background microflora that may present as Salmonella (false positives). False positive isolates belonging to the genus Citrobacter can be difficult to distinguish from Salmonella due to similarities in their genetics, cell surface antigens, and other phenotypes. In order to understand the genetic basis of these similarities, a comparative genomic approach was used to define the pan-, core, accessory, and unique coding sequences of a representative population of Salmonella and Citrobacter strains.

resultsAnalysis of the genomic content of 58 S. enterica strains and 37 Citrobacter strains revealed the presence of 31,130 and 1540 coding sequences within the pan- and core genome of this population. Amino acid sequences unique to either Salmonella (n = 1112) or Citrobacter (n = 195) were identified and revealed potential niche-specific adaptations. Phylogenetic network analysis of the protein families encoded by the pan-genome indicated that genetic exchange between Salmonella and Citrobacter may have led to the acquisition of similar traits and also diversification within the genera.

conclusionsCore genome analysis suggests that the Salmonella enterica and Citrobacter populations investigated here share a common evolutionary history. Comparative analysis of the core and pan-genomes was able to define the genetic features that distinguish Salmonella from Citrobacter and highlight niche specific adaptations.

Indexed as

GenomicsPhylogenyCitrobacterGenome, BacterialSalmonella entericaCitrobacterCore genomeGenomicsNetwork analysisPan-genomeSalmonella

Identifiers

PMID32471418
PMCPMC7257147

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.