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Meta-QTL Analysis for Yield Components in Common Bean (Phaseolus vulgaris L.)

Common bean is one of the most important legumes produced and consumed worldwide because it is a highly valuable food for the human diet. However, its production is mainly carried out by small farmers, who obtain average grain yields below the potential yield of the species. In this sense, numerous...

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Autores principales: Arriagada, Osvin, Arévalo, Bárbara, Cabeza, Ricardo A., Carrasco, Basilio, Schwember, Andrés R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9824219/
https://www.ncbi.nlm.nih.gov/pubmed/36616246
http://dx.doi.org/10.3390/plants12010117
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author Arriagada, Osvin
Arévalo, Bárbara
Cabeza, Ricardo A.
Carrasco, Basilio
Schwember, Andrés R.
author_facet Arriagada, Osvin
Arévalo, Bárbara
Cabeza, Ricardo A.
Carrasco, Basilio
Schwember, Andrés R.
author_sort Arriagada, Osvin
collection PubMed
description Common bean is one of the most important legumes produced and consumed worldwide because it is a highly valuable food for the human diet. However, its production is mainly carried out by small farmers, who obtain average grain yields below the potential yield of the species. In this sense, numerous mapping studies have been conducted to identify quantitative trait loci (QTL) associated with yield components in common bean. Meta-QTL (MQTL) analysis is a useful approach to combine data sets and for creating consensus positions for the QTL detected in independent studies. Consequently, the objective of this study was to perform a MQTL analysis to identify the most reliable and stable genomic regions associated with yield-related traits of common bean. A total of 667 QTL associated with yield-related traits reported in 21 different studies were collected. A total of 42 MQTL associated with yield-related traits were identified, in which the average confidence interval (CI) of the MQTL was 3.41 times lower than the CIs of the original QTL. Most of the MQTL (28) identified in this study contain QTL associated with yield and phenological traits; therefore, these MQTL can be useful in common bean breeding programs. Finally, a total of 18 candidate genes were identified and associated with grain yield within these MQTL, with functions related to ubiquitin ligase complex, response to auxin, and translation elongation factor activity.
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spelling pubmed-98242192023-01-08 Meta-QTL Analysis for Yield Components in Common Bean (Phaseolus vulgaris L.) Arriagada, Osvin Arévalo, Bárbara Cabeza, Ricardo A. Carrasco, Basilio Schwember, Andrés R. Plants (Basel) Article Common bean is one of the most important legumes produced and consumed worldwide because it is a highly valuable food for the human diet. However, its production is mainly carried out by small farmers, who obtain average grain yields below the potential yield of the species. In this sense, numerous mapping studies have been conducted to identify quantitative trait loci (QTL) associated with yield components in common bean. Meta-QTL (MQTL) analysis is a useful approach to combine data sets and for creating consensus positions for the QTL detected in independent studies. Consequently, the objective of this study was to perform a MQTL analysis to identify the most reliable and stable genomic regions associated with yield-related traits of common bean. A total of 667 QTL associated with yield-related traits reported in 21 different studies were collected. A total of 42 MQTL associated with yield-related traits were identified, in which the average confidence interval (CI) of the MQTL was 3.41 times lower than the CIs of the original QTL. Most of the MQTL (28) identified in this study contain QTL associated with yield and phenological traits; therefore, these MQTL can be useful in common bean breeding programs. Finally, a total of 18 candidate genes were identified and associated with grain yield within these MQTL, with functions related to ubiquitin ligase complex, response to auxin, and translation elongation factor activity. MDPI 2022-12-26 /pmc/articles/PMC9824219/ /pubmed/36616246 http://dx.doi.org/10.3390/plants12010117 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Arriagada, Osvin
Arévalo, Bárbara
Cabeza, Ricardo A.
Carrasco, Basilio
Schwember, Andrés R.
Meta-QTL Analysis for Yield Components in Common Bean (Phaseolus vulgaris L.)
title Meta-QTL Analysis for Yield Components in Common Bean (Phaseolus vulgaris L.)
title_full Meta-QTL Analysis for Yield Components in Common Bean (Phaseolus vulgaris L.)
title_fullStr Meta-QTL Analysis for Yield Components in Common Bean (Phaseolus vulgaris L.)
title_full_unstemmed Meta-QTL Analysis for Yield Components in Common Bean (Phaseolus vulgaris L.)
title_short Meta-QTL Analysis for Yield Components in Common Bean (Phaseolus vulgaris L.)
title_sort meta-qtl analysis for yield components in common bean (phaseolus vulgaris l.)
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9824219/
https://www.ncbi.nlm.nih.gov/pubmed/36616246
http://dx.doi.org/10.3390/plants12010117
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