Evidence map›Paper›PMID 36695037›Full record

ArticleProceedings. Biological sciences2023

The evolution of age-specific resistance to infectious disease.

Lydia J Buckingham, Emily L Bruns, Ben Ashby

Open access · hybridAbstract read
In one paragraph

Article in Proceedings. Biological sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.8field-weighted citation impact, top 9% 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

9 citing papers in PubMed, 10 citations in OpenAlex.

  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. Article
  9. 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

3 authors at 3 institutions in 3 countries.

Lydia J BuckinghamDepartment of Mathematical Sciences, University of Bath, Bath, UK.ORCID 0000-0002-9691-9788
Emily L BrunsDepartment of Biology, University of Maryland, College Park, MD 20742, USA.ORCID 0000-0003-4184-0922
Ben AshbyDepartment of Mathematical Sciences, University of Bath, Bath, UK.ORCID 0000-0001-5588-7081
Simon Fraser University · CAUniversity of Bath · GBUniversity of Maryland, College Park · US

Funding

Resistance Variation to Endemic Disease as a Risk Factor to New Disease EmergenceR01GM140457 · NIGMS · AMHERST COLLEGE · PI BRUNS, EMILY, HOOD, MICHAEL E. · 2020 to 2023
$1.4M
NIGMS NIH HHS R01 GM140457
6 · The paper itself

Abstract

Innate, infection-preventing resistance often varies between host life stages. Juveniles are more resistant than adults in some species, whereas the opposite pattern is true in others. This variation cannot always be explained by prior exposure or physiological constraints and so it has been hypothesized that trade-offs with other life-history traits may be involved. However, little is known about how trade-offs between various life-history traits and resistance at different life stages affect the evolution of age-specific resistance. Here, we use a mathematical model to explore how trade-offs with natural mortality, reproduction and maturation combine to affect the evolution of resistance at different life stages. Our results show that certain combinations of trade-offs have substantial effects on whether adults or juveniles are more resistant, with trade-offs between juvenile resistance and adult reproduction inherently more costly than trade-offs involving maturation or mortality (all else being equal), resulting in consistent evolution of lower resistance at the juvenile stage even when infection causes a lifelong fecundity reduction. Our model demonstrates how the differences between patterns of age-structured resistance seen in nature may be explained by variation in the trade-offs involved and our results suggest conditions under which trade-offs tend to select for lower resistance in juveniles than adults.

Indexed as

Communicable DiseasesLife History TraitsAge FactorsBiological EvolutionFertilityHumansReproductionadultjuvenileparasitepathogenresistancesusceptibility

Identifiers

PMID36695037
PMCPMC9874267
OpenAlexW4317931084

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.