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...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2021-03-01
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| Series: | Frontiers in Plant Science |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fpls.2021.629221/full |
| _version_ | 1818911896265293824 |
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| author | Lucy Milena Diaz Victoria Arredondo Daniel Ariza-Suarez Johan Aparicio Hector Fabio Buendia Cesar Cajiao Gloria Mosquera Stephen E. Beebe Clare Mugisha Mukankusi Bodo Raatz |
| author_facet | Lucy Milena Diaz Victoria Arredondo Daniel Ariza-Suarez Johan Aparicio Hector Fabio Buendia Cesar Cajiao Gloria Mosquera Stephen E. Beebe Clare Mugisha Mukankusi Bodo Raatz |
| author_sort | Lucy Milena Diaz |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-12-19T23:05:59Z |
| format | Article |
| id | doaj.art-738fc96871b842d8babafa35e1584b3c |
| institution | Directory Open Access Journal |
| issn | 1664-462X |
| language | English |
| last_indexed | 2024-12-19T23:05:59Z |
| publishDate | 2021-03-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Plant Science |
| spelling | doaj.art-738fc96871b842d8babafa35e1584b3c2022-12-21T20:02:23ZengFrontiers Media S.A.Frontiers in Plant Science1664-462X2021-03-011210.3389/fpls.2021.629221629221Genetic Analyses and Genomic Predictions of Root Rot Resistance in Common Bean Across Trials and PopulationsLucy Milena Diaz0Victoria Arredondo1Daniel Ariza-Suarez2Johan Aparicio3Hector Fabio Buendia4Cesar Cajiao5Gloria Mosquera6Stephen E. Beebe7Clare Mugisha Mukankusi8Bodo Raatz9Bean Program, Agrobiodiversity Area, International Center for Tropical Agriculture (CIAT), Cali, ColombiaBean Program, Agrobiodiversity Area, International Center for Tropical Agriculture (CIAT), Cali, ColombiaBean Program, Agrobiodiversity Area, International Center for Tropical Agriculture (CIAT), Cali, ColombiaBean Program, Agrobiodiversity Area, International Center for Tropical Agriculture (CIAT), Cali, ColombiaBean Program, Agrobiodiversity Area, International Center for Tropical Agriculture (CIAT), Cali, ColombiaBean Program, Agrobiodiversity Area, International Center for Tropical Agriculture (CIAT), Cali, ColombiaBean Program, Agrobiodiversity Area, International Center for Tropical Agriculture (CIAT), Cali, ColombiaBean Program, Agrobiodiversity Area, International Center for Tropical Agriculture (CIAT), Cali, ColombiaBean Program, Agrobiodiversity Area, International Center for Tropical Agriculture (CIAT), Kampala, UgandaBean Program, Agrobiodiversity Area, International Center for Tropical Agriculture (CIAT), Cali, ColombiaRoot 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.https://www.frontiersin.org/articles/10.3389/fpls.2021.629221/fullgenotyping-by-sequencing (GBS)genome-wide association study (GWAS)genomic prediction (GP)root rot disease complexPhaseolus vulgaris L.Pythium spp. |
| spellingShingle | Lucy Milena Diaz Victoria Arredondo Daniel Ariza-Suarez Johan Aparicio Hector Fabio Buendia Cesar Cajiao Gloria Mosquera Stephen E. Beebe Clare Mugisha Mukankusi Bodo Raatz Genetic Analyses and Genomic Predictions of Root Rot Resistance in Common Bean Across Trials and Populations Frontiers in Plant Science genotyping-by-sequencing (GBS) genome-wide association study (GWAS) genomic prediction (GP) root rot disease complex Phaseolus vulgaris L. Pythium spp. |
| 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 | genotyping-by-sequencing (GBS) genome-wide association study (GWAS) genomic prediction (GP) root rot disease complex Phaseolus vulgaris L. Pythium spp. |
| url | https://www.frontiersin.org/articles/10.3389/fpls.2021.629221/full |
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