title: Population structure and genetic diversity in a rice core collection (Oryza sativa L.) investigated with SSR markers.
abstract: The assessment of genetic diversity and population structure of a core collection would benefit to make use of these germplasm as well as applying them in association mapping. The objective of this study were to (1) examine the population structure of a rice core collection; (2) investigate the genetic diversity within and among subgroups of the rice core collection; (3) identify the extent of linkage disequilibrium (LD) of the rice core collection. A rice core collection consisting of 150 varieties which was established from 2260 varieties of Ting's collection of rice germplasm were genotyped with 274 SSR markers and used in this study. Two distinct subgroups (i.e. SG 1 and SG 2) were detected within the entire population by different statistical methods, which is in accordance with the differentiation of indica and japonica rice. MCLUST analysis might be an alternative method to STRUCTURE for population structure analysis. A percentage of 26% of the total markers could detect the population structure as the whole SSR marker set did with similar precision. Gene diversity and MRD between the two subspecies varied considerably across the genome, which might be used to identify candidate genes for the traits under domestication and artificial selection of indica and japonica rice. The percentage of SSR loci pairs in significant (P<0.05) LD is 46.8% in the entire population and the ratio of linked to unlinked loci pairs in LD is 1.06. Across the entire population as well as the subgroups and sub-subgroups, LD decays with genetic distance, indicating that linkage is one main cause of LD. The results of this study would provide valuable information for association mapping using the rice core collection in future.
authors.affiliation: State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, South China Agricultural University, Guangzhou, China.
authors.forename: Peng
authors.initials: P
authors.lastname: Zhang
authors.forename: Jinquan
authors.initials: J
authors.lastname: Li
authors.forename: Xiaoling
authors.initials: X
authors.lastname: Li
authors.forename: Xiangdong
authors.initials: X
authors.lastname: Liu
authors.forename: Xingjuan
authors.initials: X
authors.lastname: Zhao
authors.forename: Yonggen
authors.initials: Y
authors.lastname: Lu
mesh_terms: D000465:Algorithms; D016000:Cluster Analysis; D017343:Genes, Plant; D008040:Genetic Linkage; D005819:Genetic Markers; D014644:Genetic Variation; D005828:Genetics, Population; D005838:Genotype; D015810:Linkage Disequilibrium; D008957:Models, Genetic; D015233:Models, Statistical; D012275:Oryza / Q000235:genetics*; D010802:Phylogeny; D011110:Polymorphism, Genetic; D025341:Principal Component Analysis; D017422:Sequence Analysis, DNA; D012984:Software
chemical_list: D005819:Genetic Markers