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Analyses of African common bean (Phaseolus vulgaris L.) germplasm using a SNP fingerprinting platform: diversity, quality control and molecular breeding
Common bean (Phaseolus vulgaris L.) is an important staple crop for smallholder farmers, particularly in Eastern and Southern Africa. To support common bean breeding and seed dissemination, a high throughput SNP genotyping platform with 1500 established SNP assays has been developed at a genotyping...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Netherlands
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6424151/ https://www.ncbi.nlm.nih.gov/pubmed/30956400 http://dx.doi.org/10.1007/s10722-019-00746-0 |
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author | Raatz, Bodo Mukankusi, Clare Lobaton, Juan David Male, Alan Chisale, Virginia Amsalu, Berhanu Fourie, Deidré Mukamuhirwa, Floride Muimui, Kennedy Mutari, Bruce Nchimbi-Msolla, Susan Nkalubo, Stanley Tumsa, Kidane Chirwa, Rowland Maredia, Mywish K. He, Chunlin |
author_facet | Raatz, Bodo Mukankusi, Clare Lobaton, Juan David Male, Alan Chisale, Virginia Amsalu, Berhanu Fourie, Deidré Mukamuhirwa, Floride Muimui, Kennedy Mutari, Bruce Nchimbi-Msolla, Susan Nkalubo, Stanley Tumsa, Kidane Chirwa, Rowland Maredia, Mywish K. He, Chunlin |
author_sort | Raatz, Bodo |
collection | PubMed |
description | Common bean (Phaseolus vulgaris L.) is an important staple crop for smallholder farmers, particularly in Eastern and Southern Africa. To support common bean breeding and seed dissemination, a high throughput SNP genotyping platform with 1500 established SNP assays has been developed at a genotyping service provider which allows breeders without their own genotyping infrastructure to outsource such service. A set of 708 genotypes mainly composed of germplasm from African breeders and CIAT breeding program were assembled and genotyped with over 800 SNPs. Diversity analysis revealed that both Mesoamerican and Andean gene pools are in use, with an emphasis on large seeded Andean genotypes, which represents the known regional preferences. The analysis of genetic similarities among germplasm entries revealed duplicated lines with different names as well as distinct SNP patterns in identically named samples. Overall, a worrying number of inconsistencies was identified in this data set of very diverse origins. This exemplifies the necessity to develop and use a cost-effective fingerprinting platform to ensure germplasm purity for research, sharing and seed dissemination. The genetic data also allows to visualize introgressions, to identify heterozygous regions to evaluate hybridization success and to employ marker-assisted selection. This study presents a new resource for the common bean community, a SNP genotyping platform, a large SNP data set and a number of applications on how to utilize this information to improve the efficiency and quality of seed handling activities, breeding, and seed dissemination through molecular tools. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s10722-019-00746-0) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6424151 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Springer Netherlands |
record_format | MEDLINE/PubMed |
spelling | pubmed-64241512019-04-05 Analyses of African common bean (Phaseolus vulgaris L.) germplasm using a SNP fingerprinting platform: diversity, quality control and molecular breeding Raatz, Bodo Mukankusi, Clare Lobaton, Juan David Male, Alan Chisale, Virginia Amsalu, Berhanu Fourie, Deidré Mukamuhirwa, Floride Muimui, Kennedy Mutari, Bruce Nchimbi-Msolla, Susan Nkalubo, Stanley Tumsa, Kidane Chirwa, Rowland Maredia, Mywish K. He, Chunlin Genet Resour Crop Evol Research Article Common bean (Phaseolus vulgaris L.) is an important staple crop for smallholder farmers, particularly in Eastern and Southern Africa. To support common bean breeding and seed dissemination, a high throughput SNP genotyping platform with 1500 established SNP assays has been developed at a genotyping service provider which allows breeders without their own genotyping infrastructure to outsource such service. A set of 708 genotypes mainly composed of germplasm from African breeders and CIAT breeding program were assembled and genotyped with over 800 SNPs. Diversity analysis revealed that both Mesoamerican and Andean gene pools are in use, with an emphasis on large seeded Andean genotypes, which represents the known regional preferences. The analysis of genetic similarities among germplasm entries revealed duplicated lines with different names as well as distinct SNP patterns in identically named samples. Overall, a worrying number of inconsistencies was identified in this data set of very diverse origins. This exemplifies the necessity to develop and use a cost-effective fingerprinting platform to ensure germplasm purity for research, sharing and seed dissemination. The genetic data also allows to visualize introgressions, to identify heterozygous regions to evaluate hybridization success and to employ marker-assisted selection. This study presents a new resource for the common bean community, a SNP genotyping platform, a large SNP data set and a number of applications on how to utilize this information to improve the efficiency and quality of seed handling activities, breeding, and seed dissemination through molecular tools. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s10722-019-00746-0) contains supplementary material, which is available to authorized users. Springer Netherlands 2019-02-19 2019 /pmc/articles/PMC6424151/ /pubmed/30956400 http://dx.doi.org/10.1007/s10722-019-00746-0 Text en © The Author(s) 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Research Article Raatz, Bodo Mukankusi, Clare Lobaton, Juan David Male, Alan Chisale, Virginia Amsalu, Berhanu Fourie, Deidré Mukamuhirwa, Floride Muimui, Kennedy Mutari, Bruce Nchimbi-Msolla, Susan Nkalubo, Stanley Tumsa, Kidane Chirwa, Rowland Maredia, Mywish K. He, Chunlin Analyses of African common bean (Phaseolus vulgaris L.) germplasm using a SNP fingerprinting platform: diversity, quality control and molecular breeding |
title | Analyses of African common bean (Phaseolus vulgaris L.) germplasm using a SNP fingerprinting platform: diversity, quality control and molecular breeding |
title_full | Analyses of African common bean (Phaseolus vulgaris L.) germplasm using a SNP fingerprinting platform: diversity, quality control and molecular breeding |
title_fullStr | Analyses of African common bean (Phaseolus vulgaris L.) germplasm using a SNP fingerprinting platform: diversity, quality control and molecular breeding |
title_full_unstemmed | Analyses of African common bean (Phaseolus vulgaris L.) germplasm using a SNP fingerprinting platform: diversity, quality control and molecular breeding |
title_short | Analyses of African common bean (Phaseolus vulgaris L.) germplasm using a SNP fingerprinting platform: diversity, quality control and molecular breeding |
title_sort | analyses of african common bean (phaseolus vulgaris l.) germplasm using a snp fingerprinting platform: diversity, quality control and molecular breeding |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6424151/ https://www.ncbi.nlm.nih.gov/pubmed/30956400 http://dx.doi.org/10.1007/s10722-019-00746-0 |
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