Evidence map›Paper›PMID 41332784›Full record

ArticlebioRxiv : the preprint server for biology2025

Pathogens pull hardest in the coevolutionary arms-race to determine age-specific transmission biases.

Samuel V Hulse, Emily L Bruns

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Samuel V HulseUniversity of Maryland College Park, MD, USA.ORCID 0000-0003-1268-0202
Emily L BrunsUniversity of Maryland College Park, MD, USA.ORCID 0000-0003-4184-0922

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

Juveniles across a wide range of species are more susceptible to pathogenic infection than their adult conspecifics, often driving epidemic spread. While high juvenile susceptibility can be related to developmental timing, recent theoretical studies have found that hosts often evolve high juvenile susceptibility given a trade-off with other host traits. However, most research on age-specific infection has focused solely on host evolutionary dynamics, and the effect of pathogen evolution or coevolution on juvenile infection rates remains unknown. Here, we developed a coevolutionary adaptive dynamics model to investigate age-specific infectivity and contrast the outcome of coevolution with host evolution and pathogen evolution alone. We found strong differences in the evolutionary dynamics of hosts and pathogens in the absence of coevolution. While host evolution often favoured genotypes with intermediate levels of juvenile and adult resistance, pathogen evolution selected for extreme specialists. When hosts and pathogens were allowed to coevolve, the dynamics more closely resembled the pathogen dynamics; pathogens rapidly evolved to specialize on infecting a specific age class and this drove reciprocal specialization in host resistance. Our results illustrate that coevolution has the potential to shape age-specific patterns of infection that impact disease spread.

Indexed as

adaptive dynamicsage-specificitycoevolutionhost-pathogentrade-offs

Identifiers

PMID41332784
PMCPMC12667782

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.