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Genetic Architecture and Genomic Prediction of Cooking Time in Common Bean (Phaseolus vulgaris L.)

Cooking time of the common bean is an important trait for consumer preference, with implications for nutrition, health, and environment. For efficient germplasm improvement, breeders need more information on the genetics to identify fast cooking sources with good agronomic properties and molecular b...

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Autores principales: Diaz, Santiago, Ariza-Suarez, Daniel, Ramdeen, Raisa, Aparicio, Johan, Arunachalam, Nirmala, Hernandez, Carlos, Diaz, Harold, Ruiz, Henry, Piepho, Hans-Peter, Raatz, Bodo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7905357/
https://www.ncbi.nlm.nih.gov/pubmed/33643335
http://dx.doi.org/10.3389/fpls.2020.622213
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author Diaz, Santiago
Ariza-Suarez, Daniel
Ramdeen, Raisa
Aparicio, Johan
Arunachalam, Nirmala
Hernandez, Carlos
Diaz, Harold
Ruiz, Henry
Piepho, Hans-Peter
Raatz, Bodo
author_facet Diaz, Santiago
Ariza-Suarez, Daniel
Ramdeen, Raisa
Aparicio, Johan
Arunachalam, Nirmala
Hernandez, Carlos
Diaz, Harold
Ruiz, Henry
Piepho, Hans-Peter
Raatz, Bodo
author_sort Diaz, Santiago
collection PubMed
description Cooking time of the common bean is an important trait for consumer preference, with implications for nutrition, health, and environment. For efficient germplasm improvement, breeders need more information on the genetics to identify fast cooking sources with good agronomic properties and molecular breeding tools. In this study, we investigated a broad genetic variation among tropical germplasm from both Andean and Mesoamerican genepools. Four populations were evaluated for cooking time (CKT), water absorption capacity (WAC), and seed weight (SdW): a bi-parental RIL population (DxG), an eight-parental Mesoamerican MAGIC population, an Andean (VEF), and a Mesoamerican (MIP) breeding line panel. A total of 922 lines were evaluated in this study. Significant genetic variation was found in all populations with high heritabilities, ranging from 0.64 to 0.89 for CKT. CKT was related to the color of the seed coat, with the white colored seeds being the ones that cooked the fastest. Marker trait associations were investigated by QTL analysis and GWAS, resulting in the identification of 10 QTL. In populations with Andean germplasm, an inverse correlation of CKT and WAC, and also a QTL on Pv03 that inversely controls CKT and WAC (CKT3.2/WAC3.1) were observed. WAC7.1 was found in both Mesoamerican populations. QTL only explained a small part of the variance, and phenotypic distributions support a more quantitative mode of inheritance. For this reason, we evaluated how genomic prediction (GP) models can capture the genetic variation. GP accuracies for CKT varied, ranging from good results for the MAGIC population (0.55) to lower accuracies in the MIP panel (0.22). The phenotypic characterization of parental material will allow for the cooking time trait to be implemented in the active germplasm improvement programs. Molecular breeding tools can be developed to employ marker-assisted selection or genomic selection, which looks to be a promising tool in some populations to increase the efficiency of breeding activities.
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spelling pubmed-79053572021-02-26 Genetic Architecture and Genomic Prediction of Cooking Time in Common Bean (Phaseolus vulgaris L.) Diaz, Santiago Ariza-Suarez, Daniel Ramdeen, Raisa Aparicio, Johan Arunachalam, Nirmala Hernandez, Carlos Diaz, Harold Ruiz, Henry Piepho, Hans-Peter Raatz, Bodo Front Plant Sci Plant Science Cooking time of the common bean is an important trait for consumer preference, with implications for nutrition, health, and environment. For efficient germplasm improvement, breeders need more information on the genetics to identify fast cooking sources with good agronomic properties and molecular breeding tools. In this study, we investigated a broad genetic variation among tropical germplasm from both Andean and Mesoamerican genepools. Four populations were evaluated for cooking time (CKT), water absorption capacity (WAC), and seed weight (SdW): a bi-parental RIL population (DxG), an eight-parental Mesoamerican MAGIC population, an Andean (VEF), and a Mesoamerican (MIP) breeding line panel. A total of 922 lines were evaluated in this study. Significant genetic variation was found in all populations with high heritabilities, ranging from 0.64 to 0.89 for CKT. CKT was related to the color of the seed coat, with the white colored seeds being the ones that cooked the fastest. Marker trait associations were investigated by QTL analysis and GWAS, resulting in the identification of 10 QTL. In populations with Andean germplasm, an inverse correlation of CKT and WAC, and also a QTL on Pv03 that inversely controls CKT and WAC (CKT3.2/WAC3.1) were observed. WAC7.1 was found in both Mesoamerican populations. QTL only explained a small part of the variance, and phenotypic distributions support a more quantitative mode of inheritance. For this reason, we evaluated how genomic prediction (GP) models can capture the genetic variation. GP accuracies for CKT varied, ranging from good results for the MAGIC population (0.55) to lower accuracies in the MIP panel (0.22). The phenotypic characterization of parental material will allow for the cooking time trait to be implemented in the active germplasm improvement programs. Molecular breeding tools can be developed to employ marker-assisted selection or genomic selection, which looks to be a promising tool in some populations to increase the efficiency of breeding activities. Frontiers Media S.A. 2021-02-11 /pmc/articles/PMC7905357/ /pubmed/33643335 http://dx.doi.org/10.3389/fpls.2020.622213 Text en Copyright © 2021 Diaz, Ariza-Suarez, Ramdeen, Aparicio, Arunachalam, Hernandez, Diaz, Ruiz, Piepho and Raatz. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Plant Science
Diaz, Santiago
Ariza-Suarez, Daniel
Ramdeen, Raisa
Aparicio, Johan
Arunachalam, Nirmala
Hernandez, Carlos
Diaz, Harold
Ruiz, Henry
Piepho, Hans-Peter
Raatz, Bodo
Genetic Architecture and Genomic Prediction of Cooking Time in Common Bean (Phaseolus vulgaris L.)
title Genetic Architecture and Genomic Prediction of Cooking Time in Common Bean (Phaseolus vulgaris L.)
title_full Genetic Architecture and Genomic Prediction of Cooking Time in Common Bean (Phaseolus vulgaris L.)
title_fullStr Genetic Architecture and Genomic Prediction of Cooking Time in Common Bean (Phaseolus vulgaris L.)
title_full_unstemmed Genetic Architecture and Genomic Prediction of Cooking Time in Common Bean (Phaseolus vulgaris L.)
title_short Genetic Architecture and Genomic Prediction of Cooking Time in Common Bean (Phaseolus vulgaris L.)
title_sort genetic architecture and genomic prediction of cooking time in common bean (phaseolus vulgaris l.)
topic Plant Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7905357/
https://www.ncbi.nlm.nih.gov/pubmed/33643335
http://dx.doi.org/10.3389/fpls.2020.622213
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