Evidence map›Paper›PMID 42802684›Full record

ArticleGenome biology and evolution2026

A Selective Sweep Likely Linked to Xenobiotic Detoxification Identified Along Altitudinal Gradients in the Pine Processionary Moth.

Pierre Nouhaud, Mathieu Gautier, Alexandre Schifano, Laure Sauné, Carole Kerdelhué, Charles Perrier

Abstract read
In one paragraph

Article in Genome biology and evolution, 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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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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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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.

Pierre NouhaudUMR CBGP, INRAE, CIRAD, IRD, Institut Agro, Université Montpellier, Montpellier, France.ORCID 0000-0003-4923-0993
Mathieu GautierUMR CBGP, INRAE, CIRAD, IRD, Institut Agro, Université Montpellier, Montpellier, France.ORCID 0000-0001-7257-5880
Alexandre SchifanoUMR CBGP, INRAE, CIRAD, IRD, Institut Agro, Université Montpellier, Montpellier, France.ORCID 0009-0004-5847-7706
Laure SaunéUMR CBGP, INRAE, CIRAD, IRD, Institut Agro, Université Montpellier, Montpellier, France.ORCID 0000-0003-3490-5396
Carole KerdelhuéUMR CBGP, INRAE, CIRAD, IRD, Institut Agro, Université Montpellier, Montpellier, France.ORCID 0000-0001-7667-902X
Charles PerrierUMR CBGP, INRAE, CIRAD, IRD, Institut Agro, Université Montpellier, Montpellier, France.ORCID 0000-0001-5820-9374

Funding

GENOPHENO ANR-10-JCJC-1705INRAE ANR-22-CE02-0009LOADEXP ANR-22-CE02-0009
6 · The paper itself

Abstract

Understanding how natural populations adapt to complex environmental gradients is crucial for predicting evolutionary responses to global change. The pine processionary moth (Thaumetopoea pityocampa), a major forest pest expanding northward and upward in Europe, provides an ideal model to explore genomic adaptation along altitudinal and/or latitudinal gradients. We combined pooled and individual whole-genome resequencing of four pairs of low- and high-elevation populations from Spain, Italy, and France (mainland and Corsica) to detect signatures of local adaptation. Population structure analyses revealed strong differentiation among distant populations but limited divergence within altitude pairs. Genome scans identified a few candidate regions under selection, and we notably uncovered a large (∼1 Mbp) region showing reduced nucleotide diversity, negative Tajima's D, and fixed allele differences between high- and low-altitude populations, consistent with a recent selective sweep. This region includes a cluster of cytochrome P450 genes and the voltage-gated sodium channel gene para, both involved in detoxification and insecticide resistance. Although signatures of selection were observed at this locus in two distant population pairs, no definitive evidence of recent introgression was found between these distant populations, suggesting independent evolution. Altogether, our results do not show clear evidence for altitudinal adaptation in T. pityocampa but suggest that xenobiotic exposure could exert a strong selective pressure locally. Our study highlights candidate genes and regions for further investigation of resistance evolution in an insect species in the wild.

Indexed as

MothsSelection, GeneticXenobioticsAltitudeAnimalsCytochrome P-450 Enzyme SystemGenome, InsectInactivation, MetabolicInsecticide ResistanceCytochrome P-450 Enzyme SystemXenobioticscytochrome P450detoxificationGEApool-seqpopulation genomics

Identifiers

PMID42802684
PMCPMC13659336

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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.