Exploring the genetic architecture of root-related traits in Mediterranean bread wheat landraces by genome-wide association analysis
Roots are essential for drought adaptation because of their involvement in water and nutrient uptake. As the study of the root system architecture (RSA) is costly and time-consuming, it is not generally considered in breeding programs. Thus, the identification of molecular markers linked to RSA trai...
| Autores: | , , , |
|---|---|
| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2020 |
| País: | España |
| Institución: | Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya) |
| Repositorio: | Recercat. Dipósit de la Recerca de Catalunya |
| OAI Identifier: | oai:recercat.cat:10459.1/467767 |
| Acceso en línea: | https://doi.org/10.3390/agronomy10050613 https://hdl.handle.net/10459.1/467767 |
| Access Level: | acceso abierto |
| Palabra clave: | Drought stress Association mapping Root system architecture |
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Exploring the genetic architecture of root-related traits in Mediterranean bread wheat landraces by genome-wide association analysisRufo, RubénSalvi, SilvioRoyo i Calpe, ConxitaSoriano Soriano, José MiguelDrought stressAssociation mappingRoot system architectureRoots are essential for drought adaptation because of their involvement in water and nutrient uptake. As the study of the root system architecture (RSA) is costly and time-consuming, it is not generally considered in breeding programs. Thus, the identification of molecular markers linked to RSA traits is of special interest to the breeding community. The reported correlation between the RSA of seedlings and adult plants simplifies its assessment. Methods: In this study, a panel of 170 bread wheat landraces from 24 Mediterranean countries was used to identify molecular markers associated with the seminal RSA and related traits: seminal root angle, total root number, root dry weight, seed weight and shoot length, and grain yield (GY). Results: A genome-wide association study identified 135 marker-trait associations explaining 6% to 15% of the phenotypic variances for root related traits and 112 for GY. Fifteen QTL hotspots were identified as the most important for controlling root trait variation and were shown to include 31 candidate genes related to RSA traits, seed size, root development, and abiotic stress tolerance (mainly drought). Co-location for root related traits and GY was found in 17 genome regions. In addition, only four out of the fifteen QTL hotspots were reported previously. Conclusions: The variability found in the Mediterranean wheat landraces is a valuable source of root traits to introgress into adapted phenotypes through marker-assisted breeding. The study reveals new loci affecting root development in wheat.This study was funded by projects AGL2015-65351-R and RTA2015-00072-C03-01 of the Spanish Ministry of Economy and Competitiveness. R.R. is a recipient of a PhD grant from the Spanish Ministry of Economy and Competitiveness.MDPI2020info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttps://doi.org/10.3390/agronomy10050613https://hdl.handle.net/10459.1/467767reponame:Recercat. Dipósit de la Recerca de Catalunyainstname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)Inglésinfo:eu-repo/grantAgreement/MINECO/AGL2015-65351-R/ESReproducció del document publicat a https://doi.org/10.3390/agronomy10050613Agronomy, 2020, vol. 10, núm. 613cc-by (c) Rufo et al., 2020Attribution 4.0 Internationalinfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by/4.0/oai:recercat.cat:10459.1/4677672026-05-29T05:05:01Z |
| dc.title.none.fl_str_mv |
Exploring the genetic architecture of root-related traits in Mediterranean bread wheat landraces by genome-wide association analysis |
| title |
Exploring the genetic architecture of root-related traits in Mediterranean bread wheat landraces by genome-wide association analysis |
| spellingShingle |
Exploring the genetic architecture of root-related traits in Mediterranean bread wheat landraces by genome-wide association analysis Rufo, Rubén Drought stress Association mapping Root system architecture |
| title_short |
Exploring the genetic architecture of root-related traits in Mediterranean bread wheat landraces by genome-wide association analysis |
| title_full |
Exploring the genetic architecture of root-related traits in Mediterranean bread wheat landraces by genome-wide association analysis |
| title_fullStr |
Exploring the genetic architecture of root-related traits in Mediterranean bread wheat landraces by genome-wide association analysis |
| title_full_unstemmed |
Exploring the genetic architecture of root-related traits in Mediterranean bread wheat landraces by genome-wide association analysis |
| title_sort |
Exploring the genetic architecture of root-related traits in Mediterranean bread wheat landraces by genome-wide association analysis |
| dc.creator.none.fl_str_mv |
Rufo, Rubén Salvi, Silvio Royo i Calpe, Conxita Soriano Soriano, José Miguel |
| author |
Rufo, Rubén |
| author_facet |
Rufo, Rubén Salvi, Silvio Royo i Calpe, Conxita Soriano Soriano, José Miguel |
| author_role |
author |
| author2 |
Salvi, Silvio Royo i Calpe, Conxita Soriano Soriano, José Miguel |
| author2_role |
author author author |
| dc.subject.none.fl_str_mv |
Drought stress Association mapping Root system architecture |
| topic |
Drought stress Association mapping Root system architecture |
| description |
Roots are essential for drought adaptation because of their involvement in water and nutrient uptake. As the study of the root system architecture (RSA) is costly and time-consuming, it is not generally considered in breeding programs. Thus, the identification of molecular markers linked to RSA traits is of special interest to the breeding community. The reported correlation between the RSA of seedlings and adult plants simplifies its assessment. Methods: In this study, a panel of 170 bread wheat landraces from 24 Mediterranean countries was used to identify molecular markers associated with the seminal RSA and related traits: seminal root angle, total root number, root dry weight, seed weight and shoot length, and grain yield (GY). Results: A genome-wide association study identified 135 marker-trait associations explaining 6% to 15% of the phenotypic variances for root related traits and 112 for GY. Fifteen QTL hotspots were identified as the most important for controlling root trait variation and were shown to include 31 candidate genes related to RSA traits, seed size, root development, and abiotic stress tolerance (mainly drought). Co-location for root related traits and GY was found in 17 genome regions. In addition, only four out of the fifteen QTL hotspots were reported previously. Conclusions: The variability found in the Mediterranean wheat landraces is a valuable source of root traits to introgress into adapted phenotypes through marker-assisted breeding. The study reveals new loci affecting root development in wheat. |
| publishDate |
2020 |
| dc.date.none.fl_str_mv |
2020 |
| dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
| format |
article |
| status_str |
publishedVersion |
| dc.identifier.none.fl_str_mv |
https://doi.org/10.3390/agronomy10050613 https://hdl.handle.net/10459.1/467767 |
| url |
https://doi.org/10.3390/agronomy10050613 https://hdl.handle.net/10459.1/467767 |
| dc.language.none.fl_str_mv |
Inglés |
| language_invalid_str_mv |
Inglés |
| dc.relation.none.fl_str_mv |
info:eu-repo/grantAgreement/MINECO/AGL2015-65351-R/ES Reproducció del document publicat a https://doi.org/10.3390/agronomy10050613 Agronomy, 2020, vol. 10, núm. 613 |
| dc.rights.none.fl_str_mv |
cc-by (c) Rufo et al., 2020 Attribution 4.0 International info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/4.0/ |
| rights_invalid_str_mv |
cc-by (c) Rufo et al., 2020 Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/ |
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openAccess |
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MDPI |
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MDPI |
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reponame:Recercat. Dipósit de la Recerca de Catalunya instname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya) |
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Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya) |
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Recercat. Dipósit de la Recerca de Catalunya |
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Recercat. Dipósit de la Recerca de Catalunya |
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