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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Netherlands 2019
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.
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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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