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dc.date.accessioned 2022-05-16T18:14:29Z
dc.date.available 2022-05-16T18:14:29Z
dc.date.issued 2021
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/136420
dc.description.abstract Background: The future productivity of wheat (T. aestivum L.) as the most grown crop worldwide is of utmost importance for global food security. Thousand kernel weight (TKW) in wheat is closely associated with grain architecture-related traits, e.g. kernel length (KL), kernel width (KW), kernel area (KA), kernel diameter ratio (KDR), and factor form density (FFD). Discovering the genetic architecture of natural variation in these traits, identifying QTL and candidate genes are the main aims of this study. Therefore, grain architecture-related traits in 261 worldwide winter accessions over three field-year experiments were evaluated. Results: Genome-wide association analysis using 90K SNP array in FarmCPU model revealed several interesting genomic regions including 17 significant SNPs passing false discovery rate threshold and strongly associated with the studied traits. Four of associated SNPs were physically located inside candidate genes within LD interval e.g. BobWhite_c5872_589 (602,710,399 bp) found to be inside TraesCS6A01G383800 (602,699,767-602,711,726 bp). Further analysis reveals the four novel candidate genes potentially involved in more than one grain architecture-related traits with a pleiotropic effects e.g. TraesCS6A01G383800 gene on 6A encoding oxidoreductase activity was associated with TKW and KA. The allelic variation at the associated SNPs showed significant differences betweeen the accessions carying the wild and mutated alleles e.g. accessions carying C allele of BobWhite_c5872_589, TraesCS6A01G383800 had significantly higher TKW than the accessions carying T allele. Interestingly, these genes were highly expressed in the grain-tissues, demonstrating their pivotal role in controlling the grain architecture. Conclusions: These results are valuable for identifying regions associated with kernel weight and dimensions and potentially help breeders in improving kernel weight and architecture-related traits in order to increase wheat yield potential and end-use quality. en
dc.language en es
dc.subject Thousand kernel weight es
dc.subject Winter wheat es
dc.subject GWAS es
dc.subject Grain architecture es
dc.subject Candidate genes es
dc.title Genetic dissection of grain architecture-related traits in a winter wheat population en
dc.type Articulo es
sedici.identifier.other doi:10.1186/s12870-021-03183-3 es
sedici.identifier.other pmcid:PMC8431894 es
sedici.identifier.other pmid:34507551 es
sedici.identifier.issn 1471-2229 es
sedici.creator.person Schierenbeck, Matías es
sedici.creator.person Alqudah, Ahmad M. es
sedici.creator.person Lohwasser, Ulrike es
sedici.creator.person Tarawneh, Rasha A. es
sedici.creator.person Simón, María Rosa es
sedici.creator.person Börner, Andreas es
sedici.description.note Este artículo tiene una corrección que puede verse haciendo clic en "Documentos relacionados". es
sedici.subject.materias Ciencias Agrarias es
sedici.description.fulltext true es
mods.originInfo.place Facultad de Ciencias Agrarias y Forestales es
sedici.subtype Articulo es
sedici.rights.license Creative Commons Attribution 4.0 International (CC BY 4.0)
sedici.rights.uri http://creativecommons.org/licenses/by/4.0/
sedici.description.peerReview peer-review es
sedici.relation.journalTitle BMC Plant Biology es
sedici.relation.journalVolumeAndIssue vol. 21, no. 1 es
sedici.relation.isRelatedWith https://bmcplantbiol.biomedcentral.com/articles/10.1186/s12870-021-03216-x es


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Creative Commons Attribution 4.0 International (CC BY 4.0) Excepto donde se diga explícitamente, este item se publica bajo la siguiente licencia Creative Commons Attribution 4.0 International (CC BY 4.0)