Evidence map›Paper›PMID 42642887›Full record

ArticleMolecular ecology2026

Genomic Predictors of Diapause Polymorphism in the Bark Beetle Ips typographus With Implications for Voltinism Potential and Outbreak Dynamics.

Luciano Palmieri, Edwina J Dowle, Krystyna Nadachowska-Brzyska, Axel Schopf, Nina Dobart, Christian Stauffer, Hannes Schuler, Gregory J Ragland, Martin Schebeck

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.

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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

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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

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5 · Who and what money

Authors and funding

9 authors.

Luciano PalmieriFaculty of Agricultural, Environmental and Food Science, Free University of Bozen-Bolzano, Bolzano, Italy.ORCID https://orcid.org/0000-0002-4813-2614
Edwina J DowleDepartment of Integrative Biology, University of Colorado-Denver, Denver, Colorado, USA.
Krystyna Nadachowska-BrzyskaInstitute of Environmental Sciences, Faculty of Biology, Jagiellonian University, Kraków, Poland.ORCID https://orcid.org/0000-0002-8457-310X
Axel SchopfInstitute of Forest Entomology, Forest Pathology and Forest Protection, Department of Ecosystem Management, Climate and Biodiversity, BOKU University, Vienna, Austria.
Nina DobartInstitute of Forest Entomology, Forest Pathology and Forest Protection, Department of Ecosystem Management, Climate and Biodiversity, BOKU University, Vienna, Austria.
Christian StaufferInstitute of Forest Entomology, Forest Pathology and Forest Protection, Department of Ecosystem Management, Climate and Biodiversity, BOKU University, Vienna, Austria.ORCID https://orcid.org/0000-0002-2985-8911
Hannes SchulerFaculty of Agricultural, Environmental and Food Science, Free University of Bozen-Bolzano, Bolzano, Italy.ORCID https://orcid.org/0000-0001-8307-9831
Gregory J RaglandDepartment of Integrative Biology, University of Colorado-Denver, Denver, Colorado, USA.ORCID https://orcid.org/0000-0002-6501-3641
Martin SchebeckInstitute of Forest Entomology, Forest Pathology and Forest Protection, Department of Ecosystem Management, Climate and Biodiversity, BOKU University, Vienna, Austria.ORCID https://orcid.org/0000-0001-7376-4878

Funding

Austrian Science Fund P26749-B25Autonomous Province of Bolzano-South TyrolNational Science Centre, Poland 2018/30/E/NZ8/00105
6 · The paper itself

Abstract

Diapause polymorphisms shape insect life cycles, affecting their responses to seasonal environmental fluctuations. In the spruce bark beetle Ips typographus, diapause phenotypes, classified as facultative or obligate, significantly impact voltinism and thus outbreak potential, yet the genetic mechanisms underlying this trait remain incompletely understood. Here, we combined reduced-representation genome-wide association study (rGWAS) and machine learning (ML) to identify genetic polymorphisms associated with diapause phenotypes. Using ddRADseq, we analysed genomic data from diapause-phenotyped individuals originating from distinct geographic locations in Central and Northern Europe. rGWAS identified SNPs associated with diapause phenotypes, with a locus encoding juvenile hormone esterase (JHE) emerging as the strongest and only association robust to empirical null calibration. ML classification independently recovered JHE, detected additional loci involved in protein regulation, signal transduction and stress-response pathways, and, following permutation and cross-population validation, achieved high predictive accuracy. Our combined rGWAS and ML approach outperformed either method alone, effectively identifying a minimal set of SNPs capable of robustly distinguishing facultative from obligate diapause phenotypes. Applying our model to wild, non-phenotyped I. typographus populations revealed a high proportion (> 50%) of facultative diapause phenotypes (potentially multivoltine) in Central European regions and obligate diapausing individuals (~97%; univoltine) prevailing at northern latitudes, consistent with adaptive responses to local environmental conditions and demonstrating the feasibility of inferring voltinism potential from genomic data in natural populations. Our study provides significant advances for ecological genomics research and presents new tools for predicting and managing outbreak risks in pest species under climate change.

Indexed as

ColeopteraDiapause, InsectAnimalsEuropeGenetics, PopulationGenome-Wide Association StudyGenomicsMachine LearningPhenotypePolymorphism, Single Nucleotidedormancyjuvenile hormone esterasemachine‐learningphenologyseasonality

Identifiers

PMID42642887
PMCPMC13507623

What Socratic holds

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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 Socratic graph.