Population Structure and Genetic Diversity of Rice (Oryza sativa L.) Germplasm from the Democratic Republic of Congo (DRC) Using DArTseq-Derived Single Nucleotide Polymorphism (SNP)

Vista sencilla de ítem
dc.creatorKimwemwe, Paul Kitenge
dc.creatorBukomarhe, Chance Bahati
dc.creatorMamati, Edward George
dc.creatorGithiri, Stephen Mwangi
dc.creatorCivava, René Mushizi
dc.creatorMignouna, Jacob
dc.creatorKimani, Wilson
dc.creatorFofana, Mamadou
dc.date2023-07-19
dc.date2023-10-31T12:27:28Z
dc.date2023-10-31T12:27:28Z
dc.date.accessioned2026-06-27T15:57:42Z
dc.descriptionUnderstanding the genetic diversity and population structure of rice is crucial for breeding programs, conservation efforts, and the development of sustainable agricultural practices. This study aimed to assess the genetic diversity and population structure of 94 rice (Oryza sativa L.) genotypes from the Democratic Republic of Congo using a set of 8389 high-quality DArTseq-based single nucleotide polymorphism (SNP) markers. The average polymorphic information content (PIC) of the markers was 0.25. About 42.4% of the SNPs had a PIC value between 0.25 and 0.5, which were moderately informative. The ADMIXTURE program was used for structure analysis, which revealed five sub-populations (K = 5), with admixtures. In principal component analysis (PCA), the first three principal components accounted for 36.3% of the total variation. Analysis of molecular variance revealed significant variation between sub-populations (36.09%) and within genotypes (34.04%). The low overall number of migrants (Nm = 0.23) and high fixation index (Fst = 0.52) indicated limited gene flow and significant differentiation between the sub-populations. Observed heterozygosity (Ho = 0.08) was lower than expected heterozygosity (He = 0.14) because of the high inbreeding (Fis = 0.52) nature of rice. A high average Euclidean genetic distance (0.87) revealed the existence of genetic diversity among the 94 genotypes. The significant genetic diversity among the evaluated rice genotypes can be further explored to obtain potentially desirable genes for rice improvement.
dc.identifierhttps://hdl.handle.net/10568/132567
dc.identifier.urihttp://hdl.handle.net/123456789/118623
dc.languageen
dc.publisherMDPI
dc.rightsOpen Access
dc.sourceKimwemwe, P.K., Bukomarhe, C.B., Mamati, E.G., Githiri, S.M., Civava, R.M., Mignouna, J, Kimani, W. and Fofana, M. 2023. Population Structure and Genetic Diversity of Rice (Oryza sativa L.) Germplasm from the Democratic Republic of Congo (DRC) Using DArTseq-Derived Single Nucleotide Polymorphism (SNP). Agronomy 13(7): 1906
dc.subjectagricultural practices
dc.subjectagronomy
dc.subjectanalysis
dc.subjectbreeding
dc.subjectdevelopment
dc.subjectgene flow
dc.subjectgenes
dc.subjectgenotypes
dc.subjectgermplasm
dc.subjectinformation
dc.subjectoryza sativa
dc.subjectpolymorphism
dc.subjectpopulation
dc.subjectquality
dc.subjectrice
dc.titlePopulation Structure and Genetic Diversity of Rice (Oryza sativa L.) Germplasm from the Democratic Republic of Congo (DRC) Using DArTseq-Derived Single Nucleotide Polymorphism (SNP)
dc.typeJournal Article

Archivos

Colecciones

Instituto Internacional de Agricultura Tropical (IITA)