Evidence map›Paper›PMID 25937908›Full record

ArticleEcology and evolution2015

Association with pathogenic bacteria affects life-history traits and population growth in Caenorhabditis elegans.

S Anaid Diaz, Eric Q Mooring, Elisabeth G Rens, Olivier Restif

Abstract read
In one paragraph

Article in Ecology and evolution, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Proximity Labeling inBio-protocol · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Genetic variation in parasite avoidance, yet no evidence for constitutive fitness costs.Evolution; international journal of organic evolution · 2024
    Article
  7. Article
  8. Article
  9. Article
  10. 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

4 authors.

S Anaid DiazDisease Dynamics Unit, Department of Veterinary Medicine, University of Cambridge Madingley Road, Cambridge, CB3 0ES, UK.
Eric Q MooringDisease Dynamics Unit, Department of Veterinary Medicine, University of Cambridge Madingley Road, Cambridge, CB3 0ES, UK.
Elisabeth G RensDisease Dynamics Unit, Department of Veterinary Medicine, University of Cambridge Madingley Road, Cambridge, CB3 0ES, UK ; Delft Institute of Applied Mathematics, EEMCS Faculty, Delft University of Technology Delft, The Netherlands.
Olivier RestifDisease Dynamics Unit, Department of Veterinary Medicine, University of Cambridge Madingley Road, Cambridge, CB3 0ES, UK.

Funding

Enhancing and expanding the CGC Strain CollectionP40OD010440 · OD · UNIVERSITY OF MINNESOTA · PI Ann E. Rougvie · 2012 to 2026
$7.5M
NIH HHS P40 OD010440
6 · The paper itself

Abstract

Determining the relationship between individual life-history traits and population dynamics is an essential step to understand and predict natural selection. Model organisms that can be conveniently studied experimentally at both levels are invaluable to test the rich body of theoretical literature in this area. The nematode Caenorhabditis elegans, despite being a well-established workhorse in genetics, has only recently received attention from ecologists and evolutionary biologists, especially with respect to its association with pathogenic bacteria. In order to start filling the gap between the two areas, we conducted a series of experiments aiming at measuring life-history traits as well as population growth of C. elegans in response to three different bacterial strains: Escherichia coli OP50, Salmonella enterica Typhimurium, and Pseudomonas aeruginosa PAO1. Whereas previous studies had established that the latter two reduced the survival of nematodes feeding on them compared to E. coli OP50, we report for the first time an enhancement in reproductive success and population growth for worms feeding on S. enterica Typhimurium. Furthermore, we used an age-specific population dynamic model, parameterized using individual life-history assays, to successfully predict the growth of populations over three generations. This study paves the way for more detailed and quantitative experimental investigation of the ecology and evolution of C. elegans and the bacteria it interacts with, which could improve our understanding of the fate of opportunistic pathogens in the environment.

Indexed as

Developmentdietfitnessmathematical modelmodel system

Identifiers

PMID25937908
PMCPMC4409413

What OpenQuestion holds

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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.