Evidence map›Paper›PMID 41453851›Full record

ArticleNature communications2025

Synthesizing selection mosaic theory and host-pathogen theory to explain large-scale pathogen coexistence.

Katherine P Dixon, William T Koval, Carlos M Polivka, Grace Bird, Vanja Dukic, Greg Dwyer

Abstract read
In one paragraph

Article in Nature communications, 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

6 authors.

Katherine P DixonDepartment of Ecology and Evolution, University of Chicago, Chicago, IL, USA.ORCID http://orcid.org/0000-0002-0257-3211
William T KovalDepartment of Ecology and Evolution, University of Chicago, Chicago, IL, USA.ORCID http://orcid.org/0000-0002-4035-1206
Carlos M PolivkaPacific Northwest Research Station, USDA Forest Service, Wenatchee, WA, USA.
Grace BirdDepartment of Biology, Lewis & Clark College, Portland, OR, USA.
Vanja DukicDepartment of Applied Mathematics, University of Colorado, Boulder, CO, USA.ORCID http://orcid.org/0000-0002-0348-0834
Greg DwyerDepartment of Ecology and Evolution, University of Chicago, Chicago, IL, USA. gdwyer@uchicago.edu.ORCID http://orcid.org/0000-0002-7387-2075

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Selection mosaic theory explains observations of polymorphism in host-pathogen interactions in terms of spatially variable natural selection but does not account for population dynamics. In contrast, classical host-pathogen theory easily explains observations of population cycles, but does not explain the persistence of pathogen polymorphism. Here, we synthesize these two frameworks to understand the effects of population cycles on pathogen polymorphism. We show that geographic variation in the frequency of two morphotypes of a baculovirus that infects the Douglas-fir tussock moth (Orgyia pseudotsugata) depends on the frequency of Douglas-fir (Pseudotsuga menziesii), an important tussock moth host tree. The morphotype frequency data are best explained by host-pathogen models that combine a selection mosaic with population cycles. In our model, population cycles intensify pathogen competition across a selection mosaic, leading to a strong effect of Douglas-fir frequency on morphotype frequency that matches the data. Models without host-pathogen cycles or a selection mosaic project only weak effects of varying Douglas-fir frequency. Our model further projects that a biopesticide made up of both viral morphotypes would be more effective than the current single-morphotype biopesticide, demonstrating that our synthesis of selection mosaic theory and host-pathogen theory provides useful insights into pest management.

Indexed as

BaculoviridaeHost-Pathogen InteractionsMothsSelection, GeneticAnimalsPopulation Dynamics

Identifiers

PMID41453851
PMCPMC12859087

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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.