Genetic dissection of grain architecture-related traits in a winter wheat population

Autores
Schierenbeck, Matías; Alqudah, Ahmad M.; Lohwasser, Ulrike; Tarawneh, Rasha A.; Simon, Maria Rosa; Börner, Andreas
Año de publicación
2021
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
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.
Fil: Schierenbeck, Matías. Universidad Nacional de La Plata. Facultad de Ciencias Agrarias y Forestales. Cátedra de Cerealicultura; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata; Argentina. Leibniz Institute of Plant Genetics and Crop Plant Research; Alemania
Fil: Alqudah, Ahmad M.. University Aarhus; Dinamarca
Fil: Lohwasser, Ulrike. Leibniz Institute of Plant Genetics and Crop Plant Research; Alemania
Fil: Tarawneh, Rasha A.. Leibniz Institute of Plant Genetics and Crop Plant Research; Alemania
Fil: Simon, Maria Rosa. Universidad Nacional de La Plata. Facultad de Ciencias Agrarias y Forestales. Cátedra de Cerealicultura; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata; Argentina
Fil: Börner, Andreas. Leibniz Institute of Plant Genetics and Crop Plant Research; Alemania
Materia
CANDIDATE GENES
GRAIN ARCHITECTURE
GWAS
THOUSAND KERNEL WEIGHT
WINTER WHEAT
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/150317
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/150317
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Genetic dissection of grain architecture-related traits in a winter wheat populationSchierenbeck, MatíasAlqudah, Ahmad M.Lohwasser, UlrikeTarawneh, Rasha A.Simon, Maria RosaBörner, AndreasCANDIDATE GENESGRAIN ARCHITECTUREGWASTHOUSAND KERNEL WEIGHTWINTER WHEAThttps://purl.org/becyt/ford/4.1https://purl.org/becyt/ford/4Background: 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.Fil: Schierenbeck, Matías. Universidad Nacional de La Plata. Facultad de Ciencias Agrarias y Forestales. Cátedra de Cerealicultura; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata; Argentina. Leibniz Institute of Plant Genetics and Crop Plant Research; AlemaniaFil: Alqudah, Ahmad M.. University Aarhus; DinamarcaFil: Lohwasser, Ulrike. Leibniz Institute of Plant Genetics and Crop Plant Research; AlemaniaFil: Tarawneh, Rasha A.. Leibniz Institute of Plant Genetics and Crop Plant Research; AlemaniaFil: Simon, Maria Rosa. Universidad Nacional de La Plata. Facultad de Ciencias Agrarias y Forestales. Cátedra de Cerealicultura; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata; ArgentinaFil: Börner, Andreas. Leibniz Institute of Plant Genetics and Crop Plant Research; AlemaniaBioMed Central2021-09info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/150317Schierenbeck, Matías; Alqudah, Ahmad M.; Lohwasser, Ulrike; Tarawneh, Rasha A.; Simon, Maria Rosa; et al.; Genetic dissection of grain architecture-related traits in a winter wheat population; BioMed Central; BMC Plant Biology; 21; 1; 9-2021; 1-141471-2229CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://bmcplantbiol.biomedcentral.com/articles/10.1186/s12870-021-03183-3info:eu-repo/semantics/altIdentifier/doi/10.1186/s12870-021-03183-3info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:37:12Zoai:ri.conicet.gov.ar:11336/150317instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 09:37:13.171CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Genetic dissection of grain architecture-related traits in a winter wheat population
title Genetic dissection of grain architecture-related traits in a winter wheat population
spellingShingle Genetic dissection of grain architecture-related traits in a winter wheat population
Schierenbeck, Matías
CANDIDATE GENES
GRAIN ARCHITECTURE
GWAS
THOUSAND KERNEL WEIGHT
WINTER WHEAT
title_short Genetic dissection of grain architecture-related traits in a winter wheat population
title_full Genetic dissection of grain architecture-related traits in a winter wheat population
title_fullStr Genetic dissection of grain architecture-related traits in a winter wheat population
title_full_unstemmed Genetic dissection of grain architecture-related traits in a winter wheat population
title_sort Genetic dissection of grain architecture-related traits in a winter wheat population
dc.creator.none.fl_str_mv Schierenbeck, Matías
Alqudah, Ahmad M.
Lohwasser, Ulrike
Tarawneh, Rasha A.
Simon, Maria Rosa
Börner, Andreas
author Schierenbeck, Matías
author_facet Schierenbeck, Matías
Alqudah, Ahmad M.
Lohwasser, Ulrike
Tarawneh, Rasha A.
Simon, Maria Rosa
Börner, Andreas
author_role author
author2 Alqudah, Ahmad M.
Lohwasser, Ulrike
Tarawneh, Rasha A.
Simon, Maria Rosa
Börner, Andreas
author2_role author
author
author
author
author
dc.subject.none.fl_str_mv CANDIDATE GENES
GRAIN ARCHITECTURE
GWAS
THOUSAND KERNEL WEIGHT
WINTER WHEAT
topic CANDIDATE GENES
GRAIN ARCHITECTURE
GWAS
THOUSAND KERNEL WEIGHT
WINTER WHEAT
purl_subject.fl_str_mv https://purl.org/becyt/ford/4.1
https://purl.org/becyt/ford/4
dc.description.none.fl_txt_mv 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.
Fil: Schierenbeck, Matías. Universidad Nacional de La Plata. Facultad de Ciencias Agrarias y Forestales. Cátedra de Cerealicultura; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata; Argentina. Leibniz Institute of Plant Genetics and Crop Plant Research; Alemania
Fil: Alqudah, Ahmad M.. University Aarhus; Dinamarca
Fil: Lohwasser, Ulrike. Leibniz Institute of Plant Genetics and Crop Plant Research; Alemania
Fil: Tarawneh, Rasha A.. Leibniz Institute of Plant Genetics and Crop Plant Research; Alemania
Fil: Simon, Maria Rosa. Universidad Nacional de La Plata. Facultad de Ciencias Agrarias y Forestales. Cátedra de Cerealicultura; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata; Argentina
Fil: Börner, Andreas. Leibniz Institute of Plant Genetics and Crop Plant Research; Alemania
description 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.
publishDate 2021
dc.date.none.fl_str_mv 2021-09
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/150317
Schierenbeck, Matías; Alqudah, Ahmad M.; Lohwasser, Ulrike; Tarawneh, Rasha A.; Simon, Maria Rosa; et al.; Genetic dissection of grain architecture-related traits in a winter wheat population; BioMed Central; BMC Plant Biology; 21; 1; 9-2021; 1-14
1471-2229
CONICET Digital
CONICET
url http://hdl.handle.net/11336/150317
identifier_str_mv Schierenbeck, Matías; Alqudah, Ahmad M.; Lohwasser, Ulrike; Tarawneh, Rasha A.; Simon, Maria Rosa; et al.; Genetic dissection of grain architecture-related traits in a winter wheat population; BioMed Central; BMC Plant Biology; 21; 1; 9-2021; 1-14
1471-2229
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://bmcplantbiol.biomedcentral.com/articles/10.1186/s12870-021-03183-3
info:eu-repo/semantics/altIdentifier/doi/10.1186/s12870-021-03183-3
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv BioMed Central
publisher.none.fl_str_mv BioMed Central
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.070432

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