Evidence map›Paper›PMID 42908230›Full record

ArticleMolecular ecology2026

Independent Major-Effect Loci and Limited Trait Associations Characterize Warning Colour Variation Across Sexes and Life Stages in the Wood Tiger Moth (Arctia plantaginis).

Eva L Koch, Melanie N Brien, Yingguang Frank Chan, Marek Kučka, Cristina Ottocento, Chiara De Pasqual, Eetu Selenius, Ossi Nokelainen, Juan A Galarza, Sandra Winters and 2 more

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
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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

12 authors.

Eva L KochDepartment of Zoology, University of Cambridge, Cambridge, UK.ORCID https://orcid.org/0000-0001-8366-4897
Melanie N BrienDepartment of Organismal and Evolutionary Biology, Faculty of Biological and Environmental Sciences, University of Helsinki, Helsinki, Finland.ORCID https://orcid.org/0000-0002-3089-4776
Yingguang Frank ChanGroningen Institute for Evolutionary Life Sciences (GELIFES), University of Groningen, Groningen, the Netherlands.
Marek KučkaGroningen Institute for Evolutionary Life Sciences (GELIFES), University of Groningen, Groningen, the Netherlands.
Cristina OttocentoDepartment of Organismal and Evolutionary Biology, Faculty of Biological and Environmental Sciences, University of Helsinki, Helsinki, Finland.ORCID https://orcid.org/0000-0001-7653-9369
Chiara De PasqualDepartment of Organismal and Evolutionary Biology, Faculty of Biological and Environmental Sciences, University of Helsinki, Helsinki, Finland.ORCID https://orcid.org/0000-0001-9659-4883
Eetu SeleniusDepartment of Organismal and Evolutionary Biology, Faculty of Biological and Environmental Sciences, University of Helsinki, Helsinki, Finland.ORCID https://orcid.org/0000-0001-6204-8120
Ossi NokelainenDepartment of Organismal and Evolutionary Biology, Faculty of Biological and Environmental Sciences, University of Helsinki, Helsinki, Finland.ORCID https://orcid.org/0000-0002-0278-6698
Juan A GalarzaEcology and Genetics Research Unit, University of Oulu, Oulu, Finland.ORCID https://orcid.org/0000-0003-3938-1798
Sandra WintersBioFrontiers Institute, University of Colorado Boulder, Boulder, Colorado, USA.ORCID https://orcid.org/0000-0002-9561-5950
Chris D JigginsDepartment of Zoology, University of Cambridge, Cambridge, UK.ORCID https://orcid.org/0000-0002-7809-062X
Johanna MappesDepartment of Organismal and Evolutionary Biology, Faculty of Biological and Environmental Sciences, University of Helsinki, Helsinki, Finland.ORCID https://orcid.org/0000-0002-1117-5629

Funding

Biotechnology and Biological Sciences Research Council BB/V01451X/1European Research Council 101069216Research council of Finland 343356Research council of Finland 370040
6 · The paper itself

Abstract

Variation in warning colouration is common, despite strong positive frequency-dependent selection favouring the most common morph and may arise from spatially or temporally variable selection or associations with other traits. We investigated the maintenance of warning colour variation in the wood tiger moth, Arctia plantaginis, which shows sexual dimorphism in colouration: two distinct male morphs controlled by a single locus, and continuous variation in female hindwing colour and larval warning signal size. Using whole-genome sequencing of 657 individuals from a laboratory stock derived from a wild polymorphic population, we examined the genetic basis of multiple life-history traits, chemical defence, pheromones and male activity. We specifically tested for associations with male colour and aimed to identify the genetic basis of female and larval colour variation. We detected separate major-effect loci for female colour and larval signal size, which were different from the male colour locus. Hindwing melanism was the only trait associated with male colour, mapping to a nearby major-effect locus and showing a link to reduced activity at higher temperatures. Female colour was phenotypically correlated with pheromone amount. However, apart from melanism, none of the traits measured showed an association with any of the loci controlling warning colours and we found no evidence that male colour is part of a 'supergene' or complex co-adapted phenotype. Instead, our results indicate largely independent genetic architectures for warning colours, suggesting that variable selection rather than genetic associations may contribute to the maintenance of colour polymorphisms in this species.

Indexed as

MothsPigmentationAnimalsFemaleLarvaMalePhenotypePheromonesSex CharacteristicsWings, AnimalPheromonesaposematismgenetic architecturephenotypic variationpolymorphismtrait correlation

Identifiers

PMID42908230
PMCPMC13687781

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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.