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Improving Association Studies and Genomic Predictions for Climbing Beans With Data From Bush Bean Populations
Common bean (Phaseolus vulgaris L.) has two major origins of domestication, Andean and Mesoamerican, which contribute to the high diversity of growth type, pod and seed characteristics. The climbing growth habit is associated with increased days to flowering (DF), seed iron concentration (SdFe), nit...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9085748/ https://www.ncbi.nlm.nih.gov/pubmed/35557726 http://dx.doi.org/10.3389/fpls.2022.830896 |
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author | Keller, Beat Ariza-Suarez, Daniel Portilla-Benavides, Ana Elisabeth Buendia, Hector Fabio Aparicio, Johan Steven Amongi, Winnyfred Mbiu, Julius Msolla, Susan Nchimbi Miklas, Phillip Porch, Timothy G. Burridge, James Mukankusi, Clare Studer, Bruno Raatz, Bodo |
author_facet | Keller, Beat Ariza-Suarez, Daniel Portilla-Benavides, Ana Elisabeth Buendia, Hector Fabio Aparicio, Johan Steven Amongi, Winnyfred Mbiu, Julius Msolla, Susan Nchimbi Miklas, Phillip Porch, Timothy G. Burridge, James Mukankusi, Clare Studer, Bruno Raatz, Bodo |
author_sort | Keller, Beat |
collection | PubMed |
description | Common bean (Phaseolus vulgaris L.) has two major origins of domestication, Andean and Mesoamerican, which contribute to the high diversity of growth type, pod and seed characteristics. The climbing growth habit is associated with increased days to flowering (DF), seed iron concentration (SdFe), nitrogen fixation, and yield. However, breeding efforts in climbing beans have been limited and independent from bush type beans. To advance climbing bean breeding, we carried out genome-wide association studies and genomic predictions using 1,869 common bean lines belonging to five breeding panels representing both gene pools and all growth types. The phenotypic data were collected from 17 field trials and were complemented with 16 previously published trials. Overall, 38 significant marker-trait associations were identified for growth habit, 14 for DF, 13 for 100 seed weight, three for SdFe, and one for yield. Except for DF, the results suggest a common genetic basis for traits across all panels and growth types. Seven QTL associated with growth habits were confirmed from earlier studies and four plausible candidate genes for SdFe and 100 seed weight were newly identified. Furthermore, the genomic prediction accuracy for SdFe and yield in climbing beans improved up to 8.8% when bush-type bean lines were included in the training population. In conclusion, a large population from different gene pools and growth types across multiple breeding panels increased the power of genomic analyses and provides a solid and diverse germplasm base for genetic improvement of common bean. |
format | Online Article Text |
id | pubmed-9085748 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-90857482022-05-11 Improving Association Studies and Genomic Predictions for Climbing Beans With Data From Bush Bean Populations Keller, Beat Ariza-Suarez, Daniel Portilla-Benavides, Ana Elisabeth Buendia, Hector Fabio Aparicio, Johan Steven Amongi, Winnyfred Mbiu, Julius Msolla, Susan Nchimbi Miklas, Phillip Porch, Timothy G. Burridge, James Mukankusi, Clare Studer, Bruno Raatz, Bodo Front Plant Sci Plant Science Common bean (Phaseolus vulgaris L.) has two major origins of domestication, Andean and Mesoamerican, which contribute to the high diversity of growth type, pod and seed characteristics. The climbing growth habit is associated with increased days to flowering (DF), seed iron concentration (SdFe), nitrogen fixation, and yield. However, breeding efforts in climbing beans have been limited and independent from bush type beans. To advance climbing bean breeding, we carried out genome-wide association studies and genomic predictions using 1,869 common bean lines belonging to five breeding panels representing both gene pools and all growth types. The phenotypic data were collected from 17 field trials and were complemented with 16 previously published trials. Overall, 38 significant marker-trait associations were identified for growth habit, 14 for DF, 13 for 100 seed weight, three for SdFe, and one for yield. Except for DF, the results suggest a common genetic basis for traits across all panels and growth types. Seven QTL associated with growth habits were confirmed from earlier studies and four plausible candidate genes for SdFe and 100 seed weight were newly identified. Furthermore, the genomic prediction accuracy for SdFe and yield in climbing beans improved up to 8.8% when bush-type bean lines were included in the training population. In conclusion, a large population from different gene pools and growth types across multiple breeding panels increased the power of genomic analyses and provides a solid and diverse germplasm base for genetic improvement of common bean. Frontiers Media S.A. 2022-04-25 /pmc/articles/PMC9085748/ /pubmed/35557726 http://dx.doi.org/10.3389/fpls.2022.830896 Text en Copyright © 2022 Keller, Ariza-Suarez, Portilla-Benavides, Buendia, Aparicio, Amongi, Mbiu, Msolla, Miklas, Porch, Burridge, Mukankusi, Studer and Raatz. https://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 Keller, Beat Ariza-Suarez, Daniel Portilla-Benavides, Ana Elisabeth Buendia, Hector Fabio Aparicio, Johan Steven Amongi, Winnyfred Mbiu, Julius Msolla, Susan Nchimbi Miklas, Phillip Porch, Timothy G. Burridge, James Mukankusi, Clare Studer, Bruno Raatz, Bodo Improving Association Studies and Genomic Predictions for Climbing Beans With Data From Bush Bean Populations |
title | Improving Association Studies and Genomic Predictions for Climbing Beans With Data From Bush Bean Populations |
title_full | Improving Association Studies and Genomic Predictions for Climbing Beans With Data From Bush Bean Populations |
title_fullStr | Improving Association Studies and Genomic Predictions for Climbing Beans With Data From Bush Bean Populations |
title_full_unstemmed | Improving Association Studies and Genomic Predictions for Climbing Beans With Data From Bush Bean Populations |
title_short | Improving Association Studies and Genomic Predictions for Climbing Beans With Data From Bush Bean Populations |
title_sort | improving association studies and genomic predictions for climbing beans with data from bush bean populations |
topic | Plant Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9085748/ https://www.ncbi.nlm.nih.gov/pubmed/35557726 http://dx.doi.org/10.3389/fpls.2022.830896 |
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