Evidence map›Paper›PMID 42888884›Full record

ArticleMolecular ecology2026

The Genomic Landscape of Metallic Colour Variation in Ground Beetles.

Yi-Ming Weng, David H Kavanaugh, Bryan Rubio-Perez, Jad Salman, Mikhail A Kats, Sean D Schoville

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.

Yi-Ming WengDepartment of Entomology, University of Wisconsin-Madison, Madison, Wisconsin, USA.ORCID https://orcid.org/0000-0002-8243-5061
David H KavanaughDepartment of Entomology, California Academy of Sciences, San Francisco, California, USA.ORCID https://orcid.org/0000-0001-8777-9771
Bryan Rubio-PerezDepartment of Electrical and Computer Engineering, University of Wisconsin-Madison, Madison, Wisconsin, USA.ORCID https://orcid.org/0009-0001-1749-8306
Jad SalmanDepartment of Electrical and Computer Engineering, University of Wisconsin-Madison, Madison, Wisconsin, USA.
Mikhail A KatsDepartment of Electrical and Computer Engineering, University of Wisconsin-Madison, Madison, Wisconsin, USA.ORCID https://orcid.org/0000-0003-4897-4720
Sean D SchovilleDepartment of Entomology, University of Wisconsin-Madison, Madison, Wisconsin, USA.ORCID https://orcid.org/0000-0001-7364-434X

Funding

Ministry of Education of the Republic of China (Taiwan)Valentine Eastern Sierra Reserve
6 · The paper itself

Abstract

The metallic colour variation of beetles is a spectacular feature that has inspired diverse human cultures. However, little is known about the genetic basis of this trait or its ecological importance. In this study, we characterize the geographical distribution, optical mechanism, genetic basis and ecological and evolutionary importance of metallic colour variation in the Nebria ingens complex, an alpine ground beetle in the Sierra Nevada, California. We find that elytral colour varies continuously across two allopatric species (from black N. ingens to green N. riversi), with hybrid populations showing intermediate coloration, and we demonstrate that the metallic colour is generated from multilayer reflectors in the epicuticle of the elytra. By applying association mapping in natural populations (wild-GWAS) using high-density genotype variants, we identify five promising candidate genes covarying with metallic variation, with known roles in cuticle formation and pigmentation pathways. This finding, together with a significant correlation between colour variation and water availability, suggests that metallic variation evolves as a local adaptation to environmental variation in the N. ingens complex.

Indexed as

ColeopteraPigmentationAnimalsBiological EvolutionCaliforniaColorGenetics, PopulationGenotypePhenotypefunctional ecologyinsectsmetallic colourNebriaphenotypic evolutionwild‐GWAS

Identifiers

PMID42888884
PMCPMC13675647

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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.