Evidence map›Paper›PMID 29925619›Full record

ArticleProceedings. Biological sciences2018

The evolution of juvenile susceptibility to infectious disease.

Ben Ashby, Emily Bruns

Abstract read
In one paragraph

Article in Proceedings. Biological sciences, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Disease resistance is more costly at younger ages: An explanation for the maintenance of juvenile susceptibility in a wild plant.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  5. Article
  6. Coevolution of Age-Structured Tolerance and Virulence.Bulletin of mathematical biology · 2024
    Article
  7. Article
  8. How behavioural ageing affects infectious disease.Neuroscience and biobehavioral reviews · 2023
    Review
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. eLife · 2022
    Article
  17. Article
  18. Coevolutionary theory of hosts and parasites.Journal of evolutionary biology · 2022
    Review
  19. 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

2 authors.

Ben AshbyDepartment of Mathematical Sciences, University of Bath, Bath BA2 7AY, UK benashbyevo@gmail.com.ORCID 0000-0001-5588-7081
Emily BrunsDepartment of Biology, University of Virginia, Charlottesville, VA, USA.ORCID 0000-0003-4184-0922

Funding

Ecology and evolution of multiple transmission modes: anther-smut diseaseR01GM122061 · NIGMS · UNIVERSITY OF VIRGINIA · PI ANTONOVICS, JANIS · 2016 to 2019
$1.6M
NIGMS NIH HHS R01 GM122061
6 · The paper itself

Abstract

Infection prior to reproduction usually carries greater fitness costs for hosts than infection later in life, suggesting selection should tend to favour juvenile resistance. Yet, juveniles are generally more susceptible than adults across a wide spectrum of host taxa. While physiological constraints and a lack of prior exposure can explain some of this pattern, studies in plants and insects suggest that hosts may trade off juvenile susceptibility against other life-history traits. However, it is unclear precisely how trade-offs shape the evolution of juvenile susceptibility. Here, we theoretically explore the evolution of juvenile susceptibility subject to trade-offs with maturation or reproduction, which could realistically occur due to resource allocation during development (e.g. prioritizing growth over immune defence). We show how host lifespan, the probability of maturation (i.e. of reaching the adult stage) and transmission mode affect the results. Our key finding is that elevated juvenile susceptibility is expected to evolve over a wide range of conditions, but should be lowest when hosts have moderate lifespans and an intermediate probability of reaching the adult stage. Our results elucidate how interactions between trade-offs and the epidemiological-demographic structure of the population can lead to the evolution of elevated juvenile susceptibility.

Indexed as

Biological EvolutionDisease SusceptibilityLife History TraitsAge FactorsAnimalsCommunicable DiseasesHost-Parasite InteractionsLongevityModels, Biologicalage structuredevelopmenteco-evolutionary theoryhost–parasitesusceptibilitytrade-off

Identifiers

PMID29925619
PMCPMC6030539

What OpenQuestion holds

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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.