Evidence map›Paper›PMID 22164211›Full record

ArticlePloS one2011

Population structure and genetic diversity in a rice core collection (Oryza sativa L.) investigated with SSR markers.

Peng Zhang, Jinquan Li, Xiaoling Li, Xiangdong Liu, Xingjuan Zhao, Yonggen Lu

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In one paragraph

Article in PloS one, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 64 papers.

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64citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

64 citing papers in PubMed.

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  5. Exploring genetic diversity and ascertaining genetic loci associated with important fruit quality traits in apple (Physiology and molecular biology of plants : an international journal of functional plant biology · 2023
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  11. Allele mining for a drought responsive genePhysiology and molecular biology of plants : an international journal of functional plant biology · 2021
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  14. Association of molecular markers with physio-biochemical traits related to seed vigour in rice.Physiology and molecular biology of plants : an international journal of functional plant biology · 2020
    Article
  15. Genetic Diversity of Pineapple (Tropical life sciences research · 2020
    Article
  16. Diversity analysis of selected rice landraces from West Bengal and their linked molecular markers for salinity tolerance.Physiology and molecular biology of plants : an international journal of functional plant biology · 2020
    Article
  17. Article
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  20. Article

4 more citing papers are in PubMed but not listed here.

4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Peng ZhangState Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, South China Agricultural University, Guangzhou, China.
Jinquan Li
Xiaoling Li
Xiangdong Liu
Xingjuan Zhao
Yonggen Lu

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Genetics, PopulationLinkage DisequilibriumAlgorithmsCluster AnalysisGenes, PlantGenetic LinkageGenetic MarkersGenetic VariationGenotypeModels, GeneticModels, StatisticalOryzaPhylogenyPolymorphism, GeneticPrincipal Component AnalysisSequence Analysis, DNAGenetic Markers

Identifiers

PMID22164211
PMCPMC3229487

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.