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Genetic diversity and population structure of soybean lines adapted to sub-Saharan Africa using Single Nucleotide Polymorphism (SNP) markers
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Date
2021Type
Review Status
Peer ReviewTarget Audience
Scientists
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Show full item recordAbstract/Description
Soybean productivity in sub-Saharan Africa (SSA) is less than half of the global average yield. To plug the productivity gap, further improvement in grain yield must be attained by enhancing the genetic potential of new cultivars that depends on the genetic diversity of the parents. Hence, our aim was to assess genetic diversity and population structure of elite soybean genotypes, mainly released cultivars and advanced selections in SSA. In this study, a set of 165 lines was genotyped with high-throughput single nucleotide polymorphism (SNP) markers covering the complete genome of soybean. The genetic diversity (0.414) was high considering the bi-allelic nature of SNP markers. The polymorphic information content (PIC) varied from 0.079 to 0.375, with an average of 0.324 and about 49% of the markers had a PIC value above 0.350. Cluster analysis grouped all the genotypes into three major clusters. The model-based STRUCTURE and discriminant analysis of principal components (DAPC) exhibited high consistency in the allocation of lines in subpopulations or groups. Nonetheless, they presented some discrepancy and identified the presence of six and five subpopulations or groups, respectively. Principal coordinate analysis revealed more consistency with subgroups suggested by DAPC analysis. Our results clearly revealed the broad genetic base of TGx (Tropical Glycine max) lines that soybean breeders may select parents for crossing, testing and selection of future cultivars with desirable traits for SSA.
Acknowledgements
We are grateful to Rodomiro Ortiz (Swedish University of Agricultural Sciences, Sweden) for enriching the revised manuscript. The authors appreciate and acknowledge Peter Oyelakin, Sunday Ojo, Ademola Ajayi, and Ilesanmi Yinka for their support in IITA soybean screenhouse and DNA extraction. We are also thankful to the four anonymous reviewers for discussions and their pertinent suggestions on the manuscript.
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Permanent link to this item
https://hdl.handle.net/20.500.12478/7158IITA Authors ORCID
Garcia-Oliveira ALhttps://orcid.org/0000-0001-8561-4172
Melaku Gedilhttps://orcid.org/0000-0002-6258-6014
Trushar Shahhttps://orcid.org/0000-0002-0091-7981
Robert Asieduhttps://orcid.org/0000-0001-8943-2376
Godfree Chigezahttps://orcid.org/0000-0002-9235-0694
Digital Object Identifier (DOI)
https://dx.doi.org/10.3390/agronomy11030604