Evidence map›Paper›PMID 42885443›Full record

ArticleMolecular ecology2026

Insight Into the Genetic Architecture of Local (Mal)Adaptation in Wild and Feral Brassica rapa Populations.

S Geneste, M Gautier, S Boitard, J Ronfort, A M Chevre, C Falentin, M Tiret, G Deniot, L Gay

Abstract read
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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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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

9 authors.

S GenesteUMR AGAP Institut, Univ Montpellier, CIRAD, INRAE, Institut Agro, Montpellier, France.ORCID https://orcid.org/0009-0004-1855-368X
M GautierUMR CBGP (INRAE-IRD-Cirad-Montpellier SupAgro), Campus International de Baillarguet, Montferrier-Sur-Lez, France.ORCID https://orcid.org/0000-0001-7257-5880
S BoitardUMR CBGP (INRAE-IRD-Cirad-Montpellier SupAgro), Campus International de Baillarguet, Montferrier-Sur-Lez, France.ORCID https://orcid.org/0000-0002-2499-5052
J RonfortUMR AGAP Institut, Univ Montpellier, CIRAD, INRAE, Institut Agro, Montpellier, France.ORCID https://orcid.org/0000-0002-1011-308X
A M ChevreIGEPP, INRAE, Institut Agro, Universit'e de Rennes, Le Rheu, France.ORCID https://orcid.org/0000-0001-5312-032X
C FalentinIGEPP, INRAE, Institut Agro, Universit'e de Rennes, Le Rheu, France.ORCID https://orcid.org/0000-0002-9901-3412
M TiretIGEPP, INRAE, Institut Agro, Universit'e de Rennes, Le Rheu, France.ORCID https://orcid.org/0000-0001-5389-4886
G DeniotIGEPP, INRAE, Institut Agro, Universit'e de Rennes, Le Rheu, France.
L GayUMR AGAP Institut, Univ Montpellier, CIRAD, INRAE, Institut Agro, Montpellier, France.ORCID https://orcid.org/0000-0002-9861-8188

Funding

Partnership for Research and Innovation in the Mediterranean Area 1425
6 · The paper itself

Abstract

As climate change drives rapid environmental shifts, crops face significant challenges due to their limited adaptive genetic diversity, threatening food security. Crop wild relatives and potentially feral populations can serve as valuable reservoirs of adaptive diversity for breeding. Exploring and conserving this diversity is therefore essential, as it may encompass a wide range of adaptations. In this study, we investigate the genetic basis of local climate adaptation and the risk of maladaptation under future conditions in spontaneous populations-naturally occurring in the wild-of Brassica rapa (field mustard). A total of 62 populations were sampled, revealing strong differentiation between feral (France, Slovenia) and wild (Algeria, Sicily) populations. A genome-environment association analysis identified genomic regions associated with climatic variables, with broader patterns suggesting a polygenic architecture. Feral populations broadened the climatic range explored, but their reduced genetic diversity limited our ability to capture the full spectrum of adaptive variation in wild populations, indicating that the genetic architecture of climate adaptation is only partly shared between the two groups. We also used genomic offset (GO) analyses to assess mismatches between current and predicted-optimal genetic composition under 2050 climate projections. A common garden experiment indicated that GO captures some component of fitness variation, with feral populations providing additional predictive information beyond the environmental space occupied by wild populations. These findings highlight the complex genetic architecture of climate adaptation in B. rapa, as well as the potential and limitations of genomic tools for guiding conservation and crop improvement under climate change.

Indexed as

Adaptation, PhysiologicalBrassica rapaGenetics, PopulationClimate ChangeGenetic VariationBrassica rapaferalgenomic offsetlocal adaptationpopulation genomics

Identifiers

PMID42885443

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