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High-density DArTSeq SNP markers revealed wide genetic diversity and structured population in common bean (Phaseolus vulgaris L.) germplasm in Ethiopia

INTRODUCTION: Common bean is one of the widely consumed food security crop in Africa, Asia, and South America. Understanding genetic diversity and population structure is crucial for designing breeding strategies. MATERIALS: Two hundred and eighty-nine germplasm were recently collected from differen...

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Autores principales: Gelaw, Yonas Moges, Eleblu, John S. Y., Ofori, Kwadwo, Fenta, Berhanu Amsalu, Mukankusi, Clare, Emam, Ermias Assefa, Offei, Samuel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Netherlands 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10374692/
https://www.ncbi.nlm.nih.gov/pubmed/37389701
http://dx.doi.org/10.1007/s11033-023-08498-y
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author Gelaw, Yonas Moges
Eleblu, John S. Y.
Ofori, Kwadwo
Fenta, Berhanu Amsalu
Mukankusi, Clare
Emam, Ermias Assefa
Offei, Samuel
author_facet Gelaw, Yonas Moges
Eleblu, John S. Y.
Ofori, Kwadwo
Fenta, Berhanu Amsalu
Mukankusi, Clare
Emam, Ermias Assefa
Offei, Samuel
author_sort Gelaw, Yonas Moges
collection PubMed
description INTRODUCTION: Common bean is one of the widely consumed food security crop in Africa, Asia, and South America. Understanding genetic diversity and population structure is crucial for designing breeding strategies. MATERIALS: Two hundred and eighty-nine germplasm were recently collected from different regions of Ethiopia and introduced from CIAT to estimate genetic diversity and population structure using 11,480 DArTSeq SNP markers. RESULTS: The overall mean genetic diversity and polymorphic information content (PIC) were 0.38 and 0.30, respectively, suggested the presence of adequate genetic diversity among the genotypes. Among the geographical regions, landraces collected from Oromia showed the highest diversity (0.39) and PIC (0.30). The highest genetic distance was observed between genotypes collected from SNNPR and CIAT (0.49). In addition, genotypes from CIAT were genetically more related to improved varieties than the landraces which could be due to sharing of parents in the improvement process. The analysis of molecular variance revealed that the largest proportion of variation was due to within the population both in geographical region (63.67%) and breeding status (61.3%) based classification. Model-based structure analysis delineated the 289 common bean genotypes into six hypothetical ancestoral populations. CONCLUSIONS: The genotypes were not clustered based on geographical regions and they were not the main drivers for the differentiation. This indicated that selection of the parental lines should be based on systematic assessment of the diversity rather than geographical distance. This article provides new insights into the genetic diversity and population structure of common bean for association studies, designing effective collection and conservation for efficient utilization for the improvement of the crop. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11033-023-08498-y.
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spelling pubmed-103746922023-07-29 High-density DArTSeq SNP markers revealed wide genetic diversity and structured population in common bean (Phaseolus vulgaris L.) germplasm in Ethiopia Gelaw, Yonas Moges Eleblu, John S. Y. Ofori, Kwadwo Fenta, Berhanu Amsalu Mukankusi, Clare Emam, Ermias Assefa Offei, Samuel Mol Biol Rep Original Article INTRODUCTION: Common bean is one of the widely consumed food security crop in Africa, Asia, and South America. Understanding genetic diversity and population structure is crucial for designing breeding strategies. MATERIALS: Two hundred and eighty-nine germplasm were recently collected from different regions of Ethiopia and introduced from CIAT to estimate genetic diversity and population structure using 11,480 DArTSeq SNP markers. RESULTS: The overall mean genetic diversity and polymorphic information content (PIC) were 0.38 and 0.30, respectively, suggested the presence of adequate genetic diversity among the genotypes. Among the geographical regions, landraces collected from Oromia showed the highest diversity (0.39) and PIC (0.30). The highest genetic distance was observed between genotypes collected from SNNPR and CIAT (0.49). In addition, genotypes from CIAT were genetically more related to improved varieties than the landraces which could be due to sharing of parents in the improvement process. The analysis of molecular variance revealed that the largest proportion of variation was due to within the population both in geographical region (63.67%) and breeding status (61.3%) based classification. Model-based structure analysis delineated the 289 common bean genotypes into six hypothetical ancestoral populations. CONCLUSIONS: The genotypes were not clustered based on geographical regions and they were not the main drivers for the differentiation. This indicated that selection of the parental lines should be based on systematic assessment of the diversity rather than geographical distance. This article provides new insights into the genetic diversity and population structure of common bean for association studies, designing effective collection and conservation for efficient utilization for the improvement of the crop. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11033-023-08498-y. Springer Netherlands 2023-06-30 2023 /pmc/articles/PMC10374692/ /pubmed/37389701 http://dx.doi.org/10.1007/s11033-023-08498-y Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Original Article
Gelaw, Yonas Moges
Eleblu, John S. Y.
Ofori, Kwadwo
Fenta, Berhanu Amsalu
Mukankusi, Clare
Emam, Ermias Assefa
Offei, Samuel
High-density DArTSeq SNP markers revealed wide genetic diversity and structured population in common bean (Phaseolus vulgaris L.) germplasm in Ethiopia
title High-density DArTSeq SNP markers revealed wide genetic diversity and structured population in common bean (Phaseolus vulgaris L.) germplasm in Ethiopia
title_full High-density DArTSeq SNP markers revealed wide genetic diversity and structured population in common bean (Phaseolus vulgaris L.) germplasm in Ethiopia
title_fullStr High-density DArTSeq SNP markers revealed wide genetic diversity and structured population in common bean (Phaseolus vulgaris L.) germplasm in Ethiopia
title_full_unstemmed High-density DArTSeq SNP markers revealed wide genetic diversity and structured population in common bean (Phaseolus vulgaris L.) germplasm in Ethiopia
title_short High-density DArTSeq SNP markers revealed wide genetic diversity and structured population in common bean (Phaseolus vulgaris L.) germplasm in Ethiopia
title_sort high-density dartseq snp markers revealed wide genetic diversity and structured population in common bean (phaseolus vulgaris l.) germplasm in ethiopia
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10374692/
https://www.ncbi.nlm.nih.gov/pubmed/37389701
http://dx.doi.org/10.1007/s11033-023-08498-y
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