Genetic diversity analysis of varieties of Glycine max (L.) Merr resistant to Soybean mosaic virus by SSR fingerprints
MI Shi-jun
Abstract
MI Shi-jun
Abstract
The genetic diversity of 113 soybean varieties with high resistance to SMV was evaluated using 61 SSR primers. A total of 387 allelic variants were obtained in the varieties with average 6.34 alleles per SSR locus. Nei-Li genetic similarity coefficients were calculated using the software of NTSYS-pc2.10t and a dendrogram was constructed by the unweighted pair group method of arithmetic average (UPGMA). Mean similarity coefficient among the varieties was up to 0.295, which indicated that genetic difference among them was significant. Based on the genetic similarity coefficient matrix, the varieties were divided into seven groups. The varieties with the same geographical origin and the approximate pedigree were clustered together. The varieties whose genetic similarity coefficients were small and that were clustered in the different group probably carried the different resistant genes.
OpenAlex reports 1 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
The genetic diversity of 113 soybean varieties with high resistance to SMV was evaluated using 61 SSR primers. A total of 387 allelic variants were obtained in the varieties with average 6.34 alleles per SSR locus. Nei-Li genetic similarity coefficients were calculated using the software of NTSYS-pc2.10t and a dendrogram was constructed by the unweighted pair group method of arithmetic average (UPGMA). Mean similarity coefficient among the varieties was up to 0.295, which indicated that genetic difference among them was significant. Based on the genetic similarity coefficient matrix, the varieties were divided into seven groups. The varieties with the same geographical origin and the approximate pedigree were clustered together. The varieties whose genetic similarity coefficients were small and that were clustered in the different group probably carried the different resistant genes.
Key concepts: UPGMA, Dendrogram, Genetic diversity, Similarity (geometry), Genetic similarity, Biology, Locus (genetics), Allele