Evidence map›Paper›PMID 42309968›Full record

ArticleMolecular ecology2026

Summer Rainfall Drives Adaptation with Gene Flow in a Widespread Butterfly.

Lily F Durkee, Christen M Bossu, Kristen C Ruegg, Brenna R Forester, Paul A Opler, Ruth A Hufbauer

Abstract read
In one paragraph

Article in Molecular ecology, 2026. 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.

Lily F DurkeeDepartment of Agricultural Biology, Colorado State University, Fort Collins, Colorado, USA.ORCID https://orcid.org/0000-0002-7328-0256
Christen M BossuDepartment of Biology, Colorado State University, Fort Collins, Colorado, USA.
Kristen C RueggGraduate Degree Program in Ecology, Colorado State University, Fort Collins, Colorado, USA.ORCID https://orcid.org/0000-0001-5579-941X
Brenna R ForesterDepartment of Biology, Colorado State University, Fort Collins, Colorado, USA.
Paul A OplerDepartment of Agricultural Biology, Colorado State University, Fort Collins, Colorado, USA.
Ruth A HufbauerDepartment of Agricultural Biology, Colorado State University, Fort Collins, Colorado, USA.

Funding

Graduate Degree Program in Ecology, Colorado State UniversityNational Science Foundation 006784National Science Foundation 2508266The Lepidopterists' Society
6 · The paper itself

Abstract

Understanding how environmental variation interacts with gene flow to shape population genomic patterns is a central goal in evolutionary biology. We investigated how geographic and environmental differences impact genetic variation in the clouded sulfur butterfly (Colias philodice eriphyle) by conducting whole-genome resequencing across replicated transects consisting of paired high- and low-elevation sites on both sides of a major mountain range. Despite sampling across steep environmental gradients, we found no evidence of discrete population structure, providing support for high connectivity across the region or recent divergence with limited drift. Nonetheless, significant isolation by distance-strongest in eastern populations-revealed that geographic distance may impose limits on gene flow, and genetic diversity was also elevated in the east. Genotype-environment association analyses identified more than 16,000 loci associated with elevation, precipitation, and solar radiation. Our redundancy analysis identified precipitation as the strongest predictor of adaptive genomic differentiation, and candidate genes included those linked to melanization and thermoregulation (e.g., TH and yellow). These results demonstrate that even in a largely panmictic population, environmental variation can maintain regional-scale signals of local adaptation. Because insects are declining globally and remain underrepresented in genomic monitoring, conducting whole-genome analyses in a widespread species provides valuable context for assessing how insects today persist across such diverse landscapes and their potential for withstanding future environmental change.

Indexed as

Adaptation, PhysiologicalButterfliesGene FlowGenetics, PopulationRainAltitudeAnimalsGene-Environment InteractionGenetic VariationGenotypeSeasonselevation gradientpopulation genomicsredundancy analysiswhole genome resequencing

Identifiers

PMID42309968
PMCPMC13275337

What Socratic holds

Textmetadata
LicenceCC BY-NC
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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 Socratic graph.