Evidence map›Paper›PMID 29093222›Full record

ArticleProceedings. Biological sciences2017

Host-parasite fluctuating selection in the absence of specificity.

Alex Best, Ben Ashby, Andy White, Roger Bowers, Angus Buckling, Britt Koskella, Mike Boots

Abstract read
In one paragraph

Article in Proceedings. Biological sciences, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. How do fluctuating ecological dynamics impact the evolution of hosts and parasites?Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023
    Review
  6. Article
  7. Article
  8. Coevolutionary theory of hosts and parasites.Journal of evolutionary biology · 2022
    Review
  9. Spillover and genome selection of the gut parasiteFrontiers in cellular and infection microbiology · 2022
    Article
  10. Review
  11. Article
  12. Article
  13. Review
  14. Article
  15. 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

7 authors.

Alex BestSchool of Mathematics and Statistics, University of Sheffield, Sheffield S3 7RH, UK a.best@shef.ac.uk.ORCID http://orcid.org/0000-0001-6260-6516
Ben AshbyDepartment of Mathematical Sciences, University of Bath, Claverton Down, Bath BA2 7AY, UK.
Andy WhiteDepartment of Mathematics and the Maxwell Institute for Mathematical Sciences, Heriot-Watt University, Edinburgh EH14 4AS, UK.
Roger BowersDepartment of Mathematical Sciences, Division of Applied Mathematics, The University of Liverpool, Mathematical Sciences Building, Liverpool L69 7ZL, UK.
Angus BucklingBiosciences, College of Life and Environmental Sciences, University of Exeter, Cornwall Campus, Treliever Road, Penryn, Cornwall TR10 9EZ, UK.
Britt KoskellaDepartment of Integrative Biology, University of California Berkeley, Berkeley, CA, USA.
Mike BootsDepartment of Integrative Biology, University of California Berkeley, Berkeley, CA, USA.ORCID http://orcid.org/0000-0003-3763-6136

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fluctuating selection driven by coevolution between hosts and parasites is important for the generation of host and parasite diversity across space and time. Theory has focused primarily on infection genetics, with highly specific 'matching-allele' frameworks more likely to generate fluctuating selection dynamics (FSD) than 'gene-for-gene' (generalist-specialist) frameworks. However, the environment, ecological feedbacks and life-history characteristics may all play a role in determining when FSD occurs. Here, we develop eco-evolutionary models with explicit ecological dynamics to explore the ecological, epidemiological and host life-history drivers of FSD. Our key result is to demonstrate for the first time, to our knowledge, that specificity between hosts and parasites is not required to generate FSD. Furthermore, highly specific host-parasite interactions produce unstable, less robust stochastic fluctuations in contrast to interactions that lack specificity altogether or those that vary from generalist to specialist, which produce predictable limit cycles. Given the ubiquity of ecological feedbacks and the variation in the nature of specificity in host-parasite interactions, our work emphasizes the underestimated potential for host-parasite coevolution to generate fluctuating selection.

Indexed as

Host-Parasite InteractionsHost SpecificityLife History TraitsSelection, GeneticModels, Biologicalcoevolutionfluctuating selectioninfectious diseasespecificity

Identifiers

PMID29093222
PMCPMC5698645

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.