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

2026Artigo científico Desconhecido
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datacite.subject.fosCiências Agrárias::Biotecnologia Agrária e Alimentar
datacite.subject.fosEngenharia e Tecnologia::Biotecnologia Ambiental
datacite.subject.sdg02:Erradicar a Fome
datacite.subject.sdg13:Ação Climática
dc.contributor.authorSanches, Matilde
dc.contributor.authorVuylsteke, Marnik
dc.contributor.authorSantos, Carmen
dc.contributor.authorMhamdi, Amna
dc.contributor.authorAraújo, Susana de Sousa
dc.contributor.authorBreusegem, Frank Van
dc.contributor.authorPatto, Maria Carlota Vaz
dc.date.accessioned2026-03-20T17:16:01Z
dc.date.available2026-03-20T17:16:01Z
dc.date.issued2026
dc.description.abstractGrass 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.eng
dc.description.sponsorshipThis research was funded by the Fundação para a Ciência e Tecnologia, Portugal through PhD grant to MS (PD/BD/150296/2019), GREEN-IT Bioresources for Sustainability R&D Unit base (UIDB/04551/2020 and UIDP/04551/2020), and LS4FUTURE Associated Laboratory (LA/P/0087/2020), and by the European Union through the DIVINFOOD project (Horizon 2020 Research and Innovation program, Grant Agreement nº 101000383). The work was also supported by the Fernand Lambein Fund.
dc.identifier.citationSanches, Matilde; Vuylsteke, Marnik; Santos, Carmen; Mhamdi, Amna; Araújo, Susana de Sousa; Breusegem, Frank Van; Patto, Maria Carlota Vaz (2026). Integrating natural variation through GWAS - genetics of drought and flood tolerance in grass pea reveal independent yet interconnected mechanisms. BMC Plant Biology. ISSN 1471-2229. 26:1, p. 1-24
dc.identifier.doi10.1186/s12870-026-08229-y
dc.identifier.issn1471-2229
dc.identifier.urihttp://hdl.handle.net/10198/36187
dc.language.isoeng
dc.peerreviewedyes
dc.publisherSpringer
dc.relationGREEN-IT "Bioresources for Sustainability"
dc.relationGREEN-IT - Bioresources for Sustainability
dc.relationLS4FUTURE – Associate Laboratory Life Sciences for a Healthy and Sustainable Future
dc.relation.ispartofBMC Plant Biology
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/
dc.subjectLathyrus sativus
dc.subjectGWAS
dc.subjectWater deficit
dc.subjectWaterlogging
dc.subjectGenotype-phenotype association
dc.titleIntegrating natural variation through GWAS – genetics of drought and flood tolerance in grass pea reveal independent yet interconnected mechanismseng
dc.typejournal article
dspace.entity.typePublication
oaire.awardNumberUIDB/04551/2020
oaire.awardTitleGREEN-IT "Bioresources for Sustainability"
oaire.awardTitleGREEN-IT - Bioresources for Sustainability
oaire.awardTitleLS4FUTURE – Associate Laboratory Life Sciences for a Healthy and Sustainable Future
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04551%2F2020/PT
oaire.awardURIhttps://www.itqb.unl.pt/green-it
oaire.awardURIhttps://www.ls4future.pt
oaire.citation.endPage24
oaire.citation.issue1
oaire.citation.startPage1
oaire.citation.titleBMC Plant Biology
oaire.citation.volume26
oaire.fundingStream6817 - DCRRNI ID
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameAraújo
person.givenNameSusana de Sousa
person.identifier.ciencia-id7015-2AB3-4378
person.identifier.gsidhttps://scholar.google.com/citations?user=jbffwfsAAAAJ&hl=pt-PT&authuser=1
person.identifier.orcid0000-0003-2823-088X
person.identifier.ridA-5482-2009
person.identifier.scopus-author-id9636203600
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
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relation.isAuthorOfPublication.latestForDiscoverye4ef017a-7f1a-401f-a9fe-97f892b17ee1
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