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Genotyping-by-sequencing to unlock genetic diversity and population structure in white yam (dioscorea rotundata poir.)

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Date
2020Author
Bhattacharjee, R.
Agre, A.P.
Bauchet, G.
De Koeyer, D.
Lopez-Montes, A.
Kumar, P.L.
Abberton, M.
Adebola, P.O.
Asfaw, A.
Asiedu, R.
Type
Review Status
Peer ReviewTarget Audience
Scientists
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Show full item recordAbstract/Description
White yam (Dioscorearotundata Poir.) is one of the most important tuber crops in West Africa, where it is indigenous and represents the largest repository of biodiversity through several years of domestication, production, consumption, and trade. In this study, the genotyping-by-sequencing (GBS) approach was used to sequence 814 genotypes consisting of genebank landraces, breeding lines, and market varieties to understand the level of genetic diversity and pattern of the population structure among them. The genetic diversity among different genotypes was assessed using three complementary clustering methods, the model-based admixture, discriminant analysis of principal components (DAPC), and phylogenetic tree. ADMIXTURE analysis revealed an optimum number of four groups that matched with the number of clusters obtained through phylogenetic tree. Clustering results obtained from ADMIXTURE analysis were further validated using DAPC-based clustering. Analysis of molecular variance (AMOVA) revealed high genetic diversity (96%) within each genetic group. A network analysis was further carried out to depict the genetic relationships among the three genetic groups (breeding lines, genebank landraces, and market varieties) used in the study. This study showed that the use of advanced sequencing techniques such as GBS coupled with statistical analysis is a robust method for assessing genetic diversity and population structure in a complex crop such as white yam.
https://dx.doi.org/10.3390/agronomy10091437
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https://hdl.handle.net/20.500.12478/6998IITA Authors ORCID
Ranjana Bhattacharjeehttps://orcid.org/0000-0002-5184-5930
Paterne AGREhttps://orcid.org/0000-0003-1231-2530
David De Koeyerhttps://orcid.org/0000-0001-8064-6538
Antonio Jose Lopez-Monteshttps://orcid.org/0000-0001-5801-2475
P. Lava Kumarhttps://orcid.org/0000-0003-4388-6510
Michael Abbertonhttps://orcid.org/0000-0003-2555-9591
Patrick Adebolahttps://orcid.org/0000-0002-5155-6194
Asrat Asfawhttps://orcid.org/0000-0002-4859-0631
Robert Asieduhttps://orcid.org/0000-0001-8943-2376
Digital Object Identifier (DOI)
https://dx.doi.org/10.3390/agronomy10091437