Genetic Diversity, Population Structure and Subset Development in a Sesbania sesban Collection

Sesbania sesban (L.) Merr. is a multipurpose legume tree grown primarily for fodder and forage in the tropical and subtropical world. In this study, the Sesbania sesban collection maintained in the International Livestock Research Institute (ILRI) forage Genebank was studied using genome-wide marker...

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Autores principales: Negawo, Alemayehu T., Akinmade, Habib Olumide, Muktar, Meki S., Habte, Ermias, Assefa, Yilikal, Muchugi, Alice, Sartie, Alieu, Jones, Christopher S.
Formato: Journal Article
Lenguaje:Inglés
Publicado: MDPI 2022
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Acceso en línea:https://hdl.handle.net/10568/126549
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author Negawo, Alemayehu T.
Akinmade, Habib Olumide
Muktar, Meki S.
Habte, Ermias
Assefa, Yilikal
Muchugi, Alice
Sartie, Alieu
Jones, Christopher S.
author_browse Akinmade, Habib Olumide
Assefa, Yilikal
Habte, Ermias
Jones, Christopher S.
Muchugi, Alice
Muktar, Meki S.
Negawo, Alemayehu T.
Sartie, Alieu
author_facet Negawo, Alemayehu T.
Akinmade, Habib Olumide
Muktar, Meki S.
Habte, Ermias
Assefa, Yilikal
Muchugi, Alice
Sartie, Alieu
Jones, Christopher S.
author_sort Negawo, Alemayehu T.
collection Repository of Agricultural Research Outputs (CGSpace)
description Sesbania sesban (L.) Merr. is a multipurpose legume tree grown primarily for fodder and forage in the tropical and subtropical world. In this study, the Sesbania sesban collection maintained in the International Livestock Research Institute (ILRI) forage Genebank was studied using genome-wide markers generated on the DArTseq platform. Genotyping produced 84,673 and 60,626 SNP and SilicoDArT markers with a mean polymorphic information content of 0.153 and 0.123, respectively. From the generated markers, 7587 and 15,031 highly informative SNP and SilicoDArT markers, respectively, were filtered and used for genetic diversity analysis and subset development. Analysis of molecular variance (AMOVA) revealed higher variability ‘within’ (52.73% for SNP markers and 67.36% for SilicoDArT markers) than ‘between’ accessions. Hierarchical cluster analysis showed the presence of four main clusters in the collection. Mantel correlation analysis showed a lack of relationship between genetic variation of the germplasm and their geographical origin. A representative subset of 34 accessions containing germplasm from diverse origins and agro-ecologies was developed using SNP markers. The genetic diversity information generated in this study could be used for marker-assisted screening for stress tolerance, gap analysis and identification and acquisition of new distinct genotype(s) to broaden the genetic basis of the collection for future improvement programs to develop high-yielding, stress-tolerant varieties for enhancing food and environmental security in crop–livestock-based production systems.
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spelling CGSpace1265492025-12-08T10:29:22Z Genetic Diversity, Population Structure and Subset Development in a Sesbania sesban Collection Negawo, Alemayehu T. Akinmade, Habib Olumide Muktar, Meki S. Habte, Ermias Assefa, Yilikal Muchugi, Alice Sartie, Alieu Jones, Christopher S. dartseq genetic diversity sesbania sesban subset Sesbania sesban (L.) Merr. is a multipurpose legume tree grown primarily for fodder and forage in the tropical and subtropical world. In this study, the Sesbania sesban collection maintained in the International Livestock Research Institute (ILRI) forage Genebank was studied using genome-wide markers generated on the DArTseq platform. Genotyping produced 84,673 and 60,626 SNP and SilicoDArT markers with a mean polymorphic information content of 0.153 and 0.123, respectively. From the generated markers, 7587 and 15,031 highly informative SNP and SilicoDArT markers, respectively, were filtered and used for genetic diversity analysis and subset development. Analysis of molecular variance (AMOVA) revealed higher variability ‘within’ (52.73% for SNP markers and 67.36% for SilicoDArT markers) than ‘between’ accessions. Hierarchical cluster analysis showed the presence of four main clusters in the collection. Mantel correlation analysis showed a lack of relationship between genetic variation of the germplasm and their geographical origin. A representative subset of 34 accessions containing germplasm from diverse origins and agro-ecologies was developed using SNP markers. The genetic diversity information generated in this study could be used for marker-assisted screening for stress tolerance, gap analysis and identification and acquisition of new distinct genotype(s) to broaden the genetic basis of the collection for future improvement programs to develop high-yielding, stress-tolerant varieties for enhancing food and environmental security in crop–livestock-based production systems. 2022-12-20 2023-01-04T12:38:08Z 2023-01-04T12:38:08Z Journal Article https://hdl.handle.net/10568/126549 en Open Access MDPI Negawo, A.T., Akinmade, H.O., Muktar, M.S.; Habte, E., Assefa, Y., Muchugi, A., Sartie, A.M. and Jones, C.S. 2023. Genetic Diversity, Population Structure and Subset Development in a Sesbania sesban Collection. Plants 2023, 12, 13
spellingShingle dartseq
genetic diversity
sesbania sesban
subset
Negawo, Alemayehu T.
Akinmade, Habib Olumide
Muktar, Meki S.
Habte, Ermias
Assefa, Yilikal
Muchugi, Alice
Sartie, Alieu
Jones, Christopher S.
Genetic Diversity, Population Structure and Subset Development in a Sesbania sesban Collection
title Genetic Diversity, Population Structure and Subset Development in a Sesbania sesban Collection
title_full Genetic Diversity, Population Structure and Subset Development in a Sesbania sesban Collection
title_fullStr Genetic Diversity, Population Structure and Subset Development in a Sesbania sesban Collection
title_full_unstemmed Genetic Diversity, Population Structure and Subset Development in a Sesbania sesban Collection
title_short Genetic Diversity, Population Structure and Subset Development in a Sesbania sesban Collection
title_sort genetic diversity population structure and subset development in a sesbania sesban collection
topic dartseq
genetic diversity
sesbania sesban
subset
url https://hdl.handle.net/10568/126549
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