ArticleBMC genomics2022
Genetic diversity and population structure of 93 rice cultivars (lines) (Oryza sativa Xian group) in Qinba in China by 3 types of genetic markers.
Article in BMC genomics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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6 citing papers in PubMed.
- Genome-wide association mapping of distinctness, uniformity and stability traits and varietal identification in rice (Oryza sativa L.).Journal of the science of food and agriculture · 2026Article
- Genetic Diversity and Population Structure of Shanlan Upland Rice Germplasm Based on SSR Markers.Plants (Basel, Switzerland) · 2025Article
- Enhancing stress resilience in rice (Frontiers in plant science · 2024Article
- Raman Multi-Omic Snapshots of Koshihikari Rice Kernels Reveal Important Molecular Diversities with Potential Benefits in Healthcare.Foods (Basel, Switzerland) · 2023Article
- Genetic Diversity and Population Structure ofBiology · 2023Article
- Genetic Diversity and Population Structure of an Arctic Tertiary Relict Tree Endemic to China (Plants (Basel, Switzerland) · 2022Article
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Abstract
backgroundThe Qinba region is the transition region between Indica and Japonica varieties in China. It has a long history of Indica rice planting of more than 7000 years and is also a planting area for fine-quality Indica rice. The aims of this study are to explore different genetic markers applied to the analysis population structure, genetic diversity, selection and optimization of molecular markers of Indica rice, thus providing more information for the protection and utilization on germplasm resources of Indica rice.
methodsFifteen phenotypic traits, a core set of 48 SSR markers which originated protocol for identification of rice varieties-SSR marker method in agricultural industry standard of the People's Republic of China (Ministry of Agriculture of the PRC, NY/T1433-2014, Protocol for identification of rice varieties-SSR marker method, 2014), and SNPs data obtained by genotyping-by-sequencing (GBS, NlaIII and MseI digestion, referred to as SNPs-NlaIII and SNPs-MseI, respectively) for this panel of 93 samples using the Illumina HiSeq2000 sequencing platform, were employed to explore the genetic diversity and population structure of 93 samples.
resultsThe average of coefficient of variation (CV) and diversity index (H
conclusionsThe population genetic variation explained by SNPs was larger than that explained by SSRs. The gene flow of 93 samples used in this study was larger than that of naturally self-pollinated crops, which may be caused by long-term breeding selection of Indica rice in the Qinba region. The genetic structure of the 93 samples was simple and lacked rare alleles.
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