Almond population genomics and non-additive GWAS reveal new insights into almond dissemination history and candidate genes for nut traits and blooming time

dc.contributor.author
Pérez de los Cobos, Felipe
dc.contributor.author
Coindre, Eva
dc.contributor.author
Dlalah, Naïma
dc.contributor.author
Quilot-Turion, Bénédicte
dc.contributor.author
Batlle, Ignasi
dc.contributor.author
Arús, Pere
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Eduardo, Iban
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Duval, Henri
dc.contributor.other
Producció Vegetal
dc.date.accessioned
2025-10-22T11:24:48Z
dc.date.available
2025-10-22T11:24:48Z
dc.date.issued
2023-09-25
dc.identifier.citation
De Los Cobos, Felipe Pérez, Eva Coindre, Naïma Dlalah, Bénédicte Quilot-Turion, I. Batlle, Pere Arús, Iban Eduardo, and Henri Duval. 2023. “Almond Population Genomics and Non-Additive GWAS Reveal New Insights into Almond Dissemination History and Candidate Genes for Nut Traits and Blooming Time.” Horticulture Research. 10 (10): uhad193. doi: 10.1093/hr/uhad193.
dc.identifier.issn
2052-7276
dc.identifier.uri
http://hdl.handle.net/20.500.12327/2499
dc.description.abstract
Domestication drastically changed crop genomes, fixing alleles of interest and creating different genetic populations. Genome-wide association studies (GWASs) are a powerful tool to detect these alleles of interest (and so QTLs). In this study, we explored the genetic structure as well as additive and non-additive genotype–phenotype associations in a collection of 243 almond accessions. Our genetic structure analysis strongly supported the subdivision of the accessions into five ancestral groups, all formed by accessions with a common origin. One of these groups was formed exclusively by Spanish accessions, while the rest were mainly formed by accessions from China, Italy, France, and the USA. These results agree with archaeological and historical evidence that separate modern almond dissemination into four phases: Asiatic, Mediterranean, Californian, and southern hemisphere. In total, we found 13 independent QTLs for nut weight, crack-out percentage, double kernels percentage, and blooming time. Of the 13 QTLs found, only one had an additive effect. Through candidate gene analysis, we proposed Prudul26A013473 as a candidate gene responsible for the main QTL found in crack-out percentage, Prudul26A012082 and Prudul26A017782 as candidate genes for the QTLs found in double kernels percentage, and Prudul26A000954 as a candidate gene for the QTL found in blooming time. Our study enhances our knowledge of almond dissemination history and will have a great impact on almond breeding.
dc.description.sponsorship
We acknowledge Dr. Vincent Segura for his incisive comments reviewing this paper, substantially improving it. We acknowledge financial support from the grants SEV-2015-0533 and CEX2019- 000902-S, PID2019-110599RR-I00, and PID2020-118612RR-I00 (Better Almonds) funded by MCIN/AEI/ 10.13039/501100011033; the Grant RTA2017-00084-00-00 funded by MCIN/AEI/ 10.13039/ 501100011033 and by ‘ESF Investing in your future’; the Grant PCI2019-103670 funded by MCIN/AEI/ 10.13039/501100011033 and co-financed by the European Union; and to the project ANR-18-PRIM-0001 (FREECLIMB) funded by the French National Research Agency. Finally, the grant of F.P.C. PRE2018-086724 funded by MCIN/AEI/ 10.13039/501100011033 and by ‘ESF Investing in your future’. This work has been carried out within the framework of F.P.C.’s PhD in Plant Biology and Biotechnology at the Autonomous University of Barcelona.
dc.format.extent
11
dc.language.iso
eng
dc.publisher
Oxford University Press
dc.relation.ispartof
Horticulture Research
dc.rights
Attribution 4.0 International
dc.rights.uri
http://creativecommons.org/licenses/by/4.0/
dc.title
Almond population genomics and non-additive GWAS reveal new insights into almond dissemination history and candidate genes for nut traits and blooming time
dc.type
info:eu-repo/semantics/article
dc.subject.udc
575
dc.subject.udc
633
dc.description.version
info:eu-repo/semantics/publishedVersion
dc.embargo.terms
cap
dc.relation.projectID
MINECO/Programa Estatal de fomento de la investigación científica y técnica de excelencia/SEV-2015-0533/ES/ /
dc.relation.projectID
MICIU/Programa Estatal de generación del conocimiento y fortalecimiento científico y tecnológico del sistema I+D+I/CEX2019-000902-S/ES/ /
dc.relation.projectID
MICIU/Programa Estatal de generación del conocimiento y fortalecimiento científico y tecnológico del sistema I+D+I y Programa Estatal de I+D+I orientada a los retos de la sociedad/PID2019-110599RR-I00/ES/Aplication of Marker Assisted Introgression and Resynthesis in peach/MAIRES
dc.relation.projectID
MICIU/Programa Estatal de generación del conocimiento y fortalecimiento científico y tecnológico del sistema I+D+I y Programa Estatal de I+D+I orientada a los retos de la sociedad/PID2020-118612RR-I00/ES/Mejora genética de variedades de almendro/
dc.relation.projectID
INIA/Programa Estatal de I+D+I orientada a los retos de la sociedad/RTA2017-00084-00-00/ES/Mejora genética de variedades de almendro/
dc.relation.projectID
MICIU/Programa Estatal de I+D+I orientada a los retos de la sociedad/PCI2019-103670/ES/Resiliencia de los cultivos de frutas al cambio climático en la cuenca mediterránea/FREECLIMB
dc.relation.projectID
FEDER/ / /EU/ /
dc.identifier.doi
https://doi.org/10.1093/hr/uhad193
dc.rights.accessLevel
info:eu-repo/semantics/openAccess
dc.contributor.group
Fructicultura
dc.contributor.group
Genòmica i Biotecnologia


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