A comprehensive meta-QTL analysis for yield-related traits of durum wheat (<i>Triticum turgidum</i> L. var. <i>durum</i>) grown under different water regimes

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dc.contributor.authorArriagada, Osvin
dc.contributor.authorGadaleta, Agata
dc.contributor.authorMarcotuli, Ilaria
dc.contributor.authorMaccaferri, Marco
dc.contributor.authorCampana, Matteo
dc.contributor.authorReveco, Samantha
dc.contributor.authorAlfaro, Christian
dc.contributor.authorMatus, Ivan
dc.contributor.authorSchwember, Andres R.
dc.date.accessioned2025-01-20T21:02:35Z
dc.date.available2025-01-20T21:02:35Z
dc.date.issued2022
dc.description.abstractAbiotic stress strongly affects yield-related traits in durum wheat, in particular drought is one of the main environmental factors that have effect on grain yield and plant architecture. In order to obtain new genotypes well adapted to stress conditions, the highest number of desirable traits needs to be combined in the same genotype. In this context, hundreds of quantitative trait loci (QTL) have been identified for yield-related traits in different genetic backgrounds and environments. Meta-QTL (MQTL) analysis is a useful approach to combine data sets and for creating consensus positions for the QTL detected in independent studies for the reliability of their location and effects. MQTL analysis is a useful method to dissect the genetic architecture of complex traits, which provide an extensive allelic coverage, a higher mapping resolution and allow the identification of putative molecular markers useful for marker-assisted selection (MAS). In the present study, a complete and comprehensive MQTL analysis was carried out to identify genomic regions associated with grain-yield related traits in durum wheat under different water regimes. A total of 724 QTL on all 14 chromosomes (genomes A and B) were collected for the 19 yield-related traits selected, of which 468 were reported under rainfed conditions, and 256 under irrigated conditions. Out of the 590 QTL projected on the consensus map, 421 were grouped into 76 MQTL associated with yield components under both irrigated and rainfed conditions, 12 genomic regions containing stable MQTL on all chromosomes except 1A, 4A, 5A, and 6B. Candidate genes associated to MQTL were identified and an in-silico expression analysis was carried out for 15 genes selected among those that were differentially expressed under drought. These results can be used to increase durum wheat grain yields under different water regimes and to obtain new genotypes adapted to climate change.
dc.fuente.origenWOS
dc.identifier.doi10.3389/fpls.2022.984269
dc.identifier.issn1664-462X
dc.identifier.urihttps://doi.org/10.3389/fpls.2022.984269
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/93057
dc.identifier.wosidWOS:000855929600001
dc.language.isoen
dc.revistaFrontiers in plant science
dc.rightsacceso restringido
dc.subjectmeta-QTL analysis
dc.subjectyield component
dc.subjectQTL
dc.subjectrainfed
dc.subjectdrought
dc.subjectdurum wheat
dc.subject.ods15 Life on Land
dc.subject.ods13 Climate Action
dc.subject.odspa15 Vida de ecosistemas terrestres
dc.subject.odspa13 Acción por el clima
dc.titleA comprehensive meta-QTL analysis for yield-related traits of durum wheat (<i>Triticum turgidum</i> L. var. <i>durum</i>) grown under different water regimes
dc.typeartículo
dc.volumen13
sipa.indexWOS
sipa.trazabilidadWOS;2025-01-12
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