ArticlePloS one2019
SRAP analysis of the genetic diversity of wild castor (Ricinus communis L.) in South China.
Article in PloS one, 2019. 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, 21 citations in OpenAlex.
- Fine mapping and candidate gene analysis of major QTLs for number of seeds per pod in Arachis hypogaea L.BMC genomics · 2025Article
- Integrating QTL mapping with transcriptome analysis mined candidate genes of growth stages in castor (Ricinus communis L.).BMC genomics · 2025Article
- QTL mapping and candidate gene mining of seed size and seed weight in castor plant (Ricinus communis L.).BMC plant biology · 2024Article
- Review
- Molecular genetics, seed morphology and fatty acids diversity in castor (Ricinus communis L., Euphorbiaceae) Iranian populations.Molecular biology reports · 2023Article
- Screening of castor germplasm for wilt reaction and morpho-molecular characterization of resistant genotypes.Heliyon · 2023Article
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
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Abstract
Castor bean is an important seed oil crop. Castor oil is a highly demanded oil for several industrial uses. Currently, castor bean varieties suffer from low productivity and high risk of insect pests and diseases. It is in urgent need to mine elite genes from wild materials for castor breeding. 29 pairs of polymorphic SRAP primers out of 361 pairs were used to analyse the genetic diversity of 473 wild castor materials from South China. 203 bands were amplified by the 29 pairs of primers, of which 169 bands were polymorphic, with a polymorphic percentage of 83.25%. With an average number of alleles per locus (Ap) of 1.801, average number of effective alleles per locus (Ae) of 1.713 and average percentage of polymorphic loci (P) of 90.04%, these primers were proven to be useful and effective. Nei' genetic distance between the materials ranged from 1.04 to 25.02, with an average of 13.03. At the genetic distance of 25.02, the materials clustered into two major groups, consistent with the result of population structure analysis. However, more subgroups existed between 5.21 and 13.32. Although not all the materials from the same region were clustered in the same group, an obvious trend existed where the groups were related to regions to a great extent. Based on multiple indices, the genetic diversity of materials from Hainan was the lowest. However, there was not much difference between West Guangdong and Guangxi, although the former was slightly higher. Moderate genetic differentiation was observed in wild materials in South China. The genetic differentiation mainly occurred within population, with maximum differentiation in Guangxi, followed by West Guangdong and the minimum in Hainan. Nonetheless, there was an extensive geneflow between populations. The above results provided a direction for the conservation and breeding application of these materials.
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