Evidence map›Paper›PMID 41645100›Full record

ArticleBMC plant biology2026

Integrating natural variation through GWAS - genetics of drought and flood tolerance in grass pea reveal independent yet interconnected mechanisms.

Matilde Sanches, Marnik Vuylsteke, Carmen Santos, Amna Mhamdi, Susana Araújo, Frank Van Breusegem, Maria Carlota Vaz Patto

Abstract read
In one paragraph

Article in BMC plant biology, 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

7 authors.

Matilde SanchesInstituto de Tecnologia Química e Biológica António Xavier, ITQB NOVA, Universidade Nova de Lisboa, Oeiras, 2780-157, Portugal. matsanches@itqb.unl.pt.ORCID http://orcid.org/0000-0001-8176-4552
Marnik VuylstekeGnomixx, Melle, 9090, Belgium.ORCID http://orcid.org/0000-0001-5145-6460
Carmen SantosInstituto de Tecnologia Química e Biológica António Xavier, ITQB NOVA, Universidade Nova de Lisboa, Oeiras, 2780-157, Portugal.ORCID http://orcid.org/0000-0003-3743-7591
Amna MhamdiDepartment of Plant Biotechnology and Bioinformatics, Ghent University, Ghent, 9052, Belgium.ORCID http://orcid.org/0000-0001-9959-1362
Susana AraújoMORE - Laboratório Colaborativo Montanhas de Investigação, Bragança, Portugal.ORCID http://orcid.org/0000-0003-2823-088X
Frank Van BreusegemDepartment of Plant Biotechnology and Bioinformatics, Ghent University, Ghent, 9052, Belgium.ORCID http://orcid.org/0000-0002-3147-0860
Maria Carlota Vaz PattoInstituto de Tecnologia Química e Biológica António Xavier, ITQB NOVA, Universidade Nova de Lisboa, Oeiras, 2780-157, Portugal.ORCID http://orcid.org/0000-0002-8469-7508

Funding

Fundação para a Ciência e a Tecnologia LA/P/0087/2020; UIDB/04551/2020; UIDP/04551/2020Fundação para a Ciência e a Tecnologia PD/BD/150296/2019Horizon 2020 Framework Programme 101000383
6 · The paper itself

Abstract

Grass pea (Lathyrus sativus L.) is a grain legume of increasing importance in the Mediterranean region due to its outstanding tolerance to abiotic stresses such as salinity, heat, drought, and flooding, outperforming many other legume species. Despite established natural phenotypic variation in response to water-related stresses, the genetic basis of this resilience remains poorly understood, hindering precision breeding for single and combined stress tolerance. A genome-wide association study was conducted here to investigate the genetic architecture of water stress responses in grass pea. Previously, phenotypic data, including gas exchange, chlorophyll a fluorescence, photosynthetic pigments, leaf water status, and biomass partitioning traits, were assessed under well-watered, mild drought, and partial submergence conditions across 194 representative grass pea accessions worldwide. The data were associated with 5,651 single nucleotide polymorphisms (SNPs) using linear mixed models under a restricted maximum likelihood framework, incorporating population structure and the newly assembled L0007 genome. A total of 130 unique SNPs associated with at least one trait-treatment combination or with trait variation between stress and control conditions, providing a valuable resource for precision breeding of multi-stress tolerance in grass pea. The loci associated with drought and waterlogging were largely non-overlapping, suggesting distinct genetic bases for the two stress tolerances. However, some common mechanisms, such as redox regulation and carbohydrate metabolism, emerged among the identified candidate genes, highlighting some interconnectedness of biological pathways involved in grass pea responses to water stress.

Indexed as

LathyrusDrought ResistanceDroughtsFloodsGenetic VariationGenome-Wide Association StudyPhenotypePolymorphism, Single NucleotideStress, PhysiologicalGenotype–phenotype associationGWASLathyrus sativusWater deficitWaterlogging

Identifiers

PMID41645100
PMCPMC12973615

What OpenQuestion holds

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Registered trials

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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.