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Genetic Analyses and Genomic Predictions of Root Rot Resistance in Common Bean Across Trials and Populations
Root rot in common bean is a disease that causes serious damage to grain production, particularly in the upland areas of Eastern and Central Africa where significant losses occur in susceptible bean varieties. Pythium spp. and Fusarium spp. are among the soil pathogens causing the disease. In this s...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7994901/ https://www.ncbi.nlm.nih.gov/pubmed/33777068 http://dx.doi.org/10.3389/fpls.2021.629221 |
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author | Diaz, Lucy Milena Arredondo, Victoria Ariza-Suarez, Daniel Aparicio, Johan Buendia, Hector Fabio Cajiao, Cesar Mosquera, Gloria Beebe, Stephen E. Mukankusi, Clare Mugisha Raatz, Bodo |
author_facet | Diaz, Lucy Milena Arredondo, Victoria Ariza-Suarez, Daniel Aparicio, Johan Buendia, Hector Fabio Cajiao, Cesar Mosquera, Gloria Beebe, Stephen E. Mukankusi, Clare Mugisha Raatz, Bodo |
author_sort | Diaz, Lucy Milena |
collection | PubMed |
description | Root rot in common bean is a disease that causes serious damage to grain production, particularly in the upland areas of Eastern and Central Africa where significant losses occur in susceptible bean varieties. Pythium spp. and Fusarium spp. are among the soil pathogens causing the disease. In this study, a panel of 228 lines, named RR for root rot disease, was developed and evaluated in the greenhouse for Pythium myriotylum and in a root rot naturally infected field trial for plant vigor, number of plants germinated, and seed weight. The results showed positive and significant correlations between greenhouse and field evaluations, as well as high heritability (0.71–0.94) of evaluated traits. In GWAS analysis no consistent significant marker trait associations for root rot disease traits were observed, indicating the absence of major resistance genes. However, genomic prediction accuracy was found to be high for Pythium, plant vigor and related traits. In addition, good predictions of field phenotypes were obtained using the greenhouse derived data as a training population and vice versa. Genomic predictions were evaluated across and within further published data sets on root rots in other panels. Pythium and Fusarium evaluations carried out in Uganda on the Andean Diversity Panel showed good predictive ability for the root rot response in the RR panel. Genomic prediction is shown to be a promising method to estimate tolerance to Pythium, Fusarium and root rot related traits, indicating a quantitative resistance mechanism. Quantitative analyses could be applied to other disease-related traits to capture more genetic diversity with genetic models. |
format | Online Article Text |
id | pubmed-7994901 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-79949012021-03-27 Genetic Analyses and Genomic Predictions of Root Rot Resistance in Common Bean Across Trials and Populations Diaz, Lucy Milena Arredondo, Victoria Ariza-Suarez, Daniel Aparicio, Johan Buendia, Hector Fabio Cajiao, Cesar Mosquera, Gloria Beebe, Stephen E. Mukankusi, Clare Mugisha Raatz, Bodo Front Plant Sci Plant Science Root rot in common bean is a disease that causes serious damage to grain production, particularly in the upland areas of Eastern and Central Africa where significant losses occur in susceptible bean varieties. Pythium spp. and Fusarium spp. are among the soil pathogens causing the disease. In this study, a panel of 228 lines, named RR for root rot disease, was developed and evaluated in the greenhouse for Pythium myriotylum and in a root rot naturally infected field trial for plant vigor, number of plants germinated, and seed weight. The results showed positive and significant correlations between greenhouse and field evaluations, as well as high heritability (0.71–0.94) of evaluated traits. In GWAS analysis no consistent significant marker trait associations for root rot disease traits were observed, indicating the absence of major resistance genes. However, genomic prediction accuracy was found to be high for Pythium, plant vigor and related traits. In addition, good predictions of field phenotypes were obtained using the greenhouse derived data as a training population and vice versa. Genomic predictions were evaluated across and within further published data sets on root rots in other panels. Pythium and Fusarium evaluations carried out in Uganda on the Andean Diversity Panel showed good predictive ability for the root rot response in the RR panel. Genomic prediction is shown to be a promising method to estimate tolerance to Pythium, Fusarium and root rot related traits, indicating a quantitative resistance mechanism. Quantitative analyses could be applied to other disease-related traits to capture more genetic diversity with genetic models. Frontiers Media S.A. 2021-03-12 /pmc/articles/PMC7994901/ /pubmed/33777068 http://dx.doi.org/10.3389/fpls.2021.629221 Text en Copyright © 2021 Diaz, Arredondo, Ariza-Suarez, Aparicio, Buendia, Cajiao, Mosquera, Beebe, Mukankusi 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, Lucy Milena Arredondo, Victoria Ariza-Suarez, Daniel Aparicio, Johan Buendia, Hector Fabio Cajiao, Cesar Mosquera, Gloria Beebe, Stephen E. Mukankusi, Clare Mugisha Raatz, Bodo Genetic Analyses and Genomic Predictions of Root Rot Resistance in Common Bean Across Trials and Populations |
title | Genetic Analyses and Genomic Predictions of Root Rot Resistance in Common Bean Across Trials and Populations |
title_full | Genetic Analyses and Genomic Predictions of Root Rot Resistance in Common Bean Across Trials and Populations |
title_fullStr | Genetic Analyses and Genomic Predictions of Root Rot Resistance in Common Bean Across Trials and Populations |
title_full_unstemmed | Genetic Analyses and Genomic Predictions of Root Rot Resistance in Common Bean Across Trials and Populations |
title_short | Genetic Analyses and Genomic Predictions of Root Rot Resistance in Common Bean Across Trials and Populations |
title_sort | genetic analyses and genomic predictions of root rot resistance in common bean across trials and populations |
topic | Plant Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7994901/ https://www.ncbi.nlm.nih.gov/pubmed/33777068 http://dx.doi.org/10.3389/fpls.2021.629221 |
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