Genetic analysis of scab disease resistance in common bean (Phaseolus vulgaris) varieties using GWAS and functional genomics approaches
Abstract Introduction Scab is a fungal disease of common beans caused by the pathogen Elsinoë phaseoli. The disease results in major economic losses on common beans, and there are efforts to develop integrated pest management strategies to control the disease. Modern computational biology and bioinf...
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| Format: | Article |
| Language: | English |
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BMC
2024-04-01
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| Series: | CABI Agriculture and Bioscience |
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| Online Access: | https://doi.org/10.1186/s43170-024-00237-y |
| _version_ | 1797219687665238016 |
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| author | Shadrack Odikara Oriama Benard W. Kulohoma Evans Nyaboga Y. O. Masheti Reuben Otsyula |
| author_facet | Shadrack Odikara Oriama Benard W. Kulohoma Evans Nyaboga Y. O. Masheti Reuben Otsyula |
| author_sort | Shadrack Odikara Oriama |
| collection | DOAJ |
| description | Abstract Introduction Scab is a fungal disease of common beans caused by the pathogen Elsinoë phaseoli. The disease results in major economic losses on common beans, and there are efforts to develop integrated pest management strategies to control the disease. Modern computational biology and bioinformatics tools were utilized to identify scab disease resistance genes in the common bean by identification of genomic regions and genes associated with resistance to scab disease during natural infection in the field. Methods A diverse set of common bean accessions were analyzed for genetic association with scab disease resistance using a Genome-Wide Association Study design of infected plants and non-infected plants (controls). A fixed and random model circulating probability unification model of these two covariates that considers a minor allele frequency threshold value of 0.03 were deployed during the analysis. Annotation of genes proteins with significant association values was conducted using a machine learning algorithm of support vector machine on prPred using python3 on Linux Ubuntu 18.04 computing platform with an accuracy of 0.935. Results Common bean accessions tested showed varying phenotypes of susceptibility to scab disease. Out of 179 accessions, 16 and 163 accessions were observed to be resistant and susceptible to scab disease, respectively. Genomic analysis revealed a significant association on chromosome one SNP S1_6571566 where the protein-coding sequence had a resistant possibility of 55% and annotated to the Enhancer of Poly-comb like protein. Conclusion The significant differences in the phenotypic variability for scab disease indicate wide genetic variability among the common bean accessions. The resistant gene associated with scab disease was successfully identified by GWAS analysis. The identified common bean accessions resistant to scab disease can be adopted into breeding programs as sources of resistance. |
| first_indexed | 2024-04-24T12:37:37Z |
| format | Article |
| id | doaj.art-bd338a14a376491f960a42cc5cfba12a |
| institution | Directory Open Access Journal |
| issn | 2662-4044 |
| language | English |
| last_indexed | 2024-04-24T12:37:37Z |
| publishDate | 2024-04-01 |
| publisher | BMC |
| record_format | Article |
| series | CABI Agriculture and Bioscience |
| spelling | doaj.art-bd338a14a376491f960a42cc5cfba12a2024-04-07T11:27:07ZengBMCCABI Agriculture and Bioscience2662-40442024-04-015112110.1186/s43170-024-00237-yGenetic analysis of scab disease resistance in common bean (Phaseolus vulgaris) varieties using GWAS and functional genomics approachesShadrack Odikara Oriama0Benard W. Kulohoma1Evans Nyaboga2Y. O. Masheti3Reuben Otsyula4Department of Biochemistry, Faculty of Science and Technology, University of NairobiInternational AIDs Vaccine InitiativeDepartment of Biochemistry, Faculty of Science and Technology, University of NairobiKenya Agricultural and Livestock Research Organization, Grain Legume DepartmentKenya Agricultural and Livestock Research Organization, Grain Legume DepartmentAbstract Introduction Scab is a fungal disease of common beans caused by the pathogen Elsinoë phaseoli. The disease results in major economic losses on common beans, and there are efforts to develop integrated pest management strategies to control the disease. Modern computational biology and bioinformatics tools were utilized to identify scab disease resistance genes in the common bean by identification of genomic regions and genes associated with resistance to scab disease during natural infection in the field. Methods A diverse set of common bean accessions were analyzed for genetic association with scab disease resistance using a Genome-Wide Association Study design of infected plants and non-infected plants (controls). A fixed and random model circulating probability unification model of these two covariates that considers a minor allele frequency threshold value of 0.03 were deployed during the analysis. Annotation of genes proteins with significant association values was conducted using a machine learning algorithm of support vector machine on prPred using python3 on Linux Ubuntu 18.04 computing platform with an accuracy of 0.935. Results Common bean accessions tested showed varying phenotypes of susceptibility to scab disease. Out of 179 accessions, 16 and 163 accessions were observed to be resistant and susceptible to scab disease, respectively. Genomic analysis revealed a significant association on chromosome one SNP S1_6571566 where the protein-coding sequence had a resistant possibility of 55% and annotated to the Enhancer of Poly-comb like protein. Conclusion The significant differences in the phenotypic variability for scab disease indicate wide genetic variability among the common bean accessions. The resistant gene associated with scab disease was successfully identified by GWAS analysis. The identified common bean accessions resistant to scab disease can be adopted into breeding programs as sources of resistance.https://doi.org/10.1186/s43170-024-00237-yCommon beanPhaseolus vulgarisScab disease Elsinoë phaseoliEnhancer of poly-comp likeGenome wide association studyFarmCPU |
| spellingShingle | Shadrack Odikara Oriama Benard W. Kulohoma Evans Nyaboga Y. O. Masheti Reuben Otsyula Genetic analysis of scab disease resistance in common bean (Phaseolus vulgaris) varieties using GWAS and functional genomics approaches CABI Agriculture and Bioscience Common bean Phaseolus vulgaris Scab disease Elsinoë phaseoli Enhancer of poly-comp like Genome wide association study FarmCPU |
| title | Genetic analysis of scab disease resistance in common bean (Phaseolus vulgaris) varieties using GWAS and functional genomics approaches |
| title_full | Genetic analysis of scab disease resistance in common bean (Phaseolus vulgaris) varieties using GWAS and functional genomics approaches |
| title_fullStr | Genetic analysis of scab disease resistance in common bean (Phaseolus vulgaris) varieties using GWAS and functional genomics approaches |
| title_full_unstemmed | Genetic analysis of scab disease resistance in common bean (Phaseolus vulgaris) varieties using GWAS and functional genomics approaches |
| title_short | Genetic analysis of scab disease resistance in common bean (Phaseolus vulgaris) varieties using GWAS and functional genomics approaches |
| title_sort | genetic analysis of scab disease resistance in common bean phaseolus vulgaris varieties using gwas and functional genomics approaches |
| topic | Common bean Phaseolus vulgaris Scab disease Elsinoë phaseoli Enhancer of poly-comp like Genome wide association study FarmCPU |
| url | https://doi.org/10.1186/s43170-024-00237-y |
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