Based on RNA sequences using transcriptome analysis, 37 new simple sequence repeat (SSR) primer sets were developed for Perilla species. These new SSR markers were applied to analyze the genetic diversity among 15 acc...Based on RNA sequences using transcriptome analysis, 37 new simple sequence repeat (SSR) primer sets were developed for Perilla species. These new SSR markers were applied to analyze the genetic diversity among 15 accessions of Perilla species. A total of 182 alleles were confirmed in 37 loci, with an average of 4.9 alleles per locus and from 2 to 9 alleles per locus. The MAF (major allele frequency) per locus varied from 0.200 to 0.733, with an average of 0.463. The gene diversity (GD) ranged from 0.391 to 0.853, with an average of 0.670. The average polymorphic information content (PIC) was 0.624, ranging from 0.315 to 0.838. The new SSR markers of Perilla species reported in this study may provide potential markers to analyze the genetic diversity and genetic relationships of Perilla species. In addition, new Perilla SSR markers developed from transcriptome analysis can be useful for the identification of cultivars, conservation of Perilla germplasm resources, and genetic mapping and designating of important genes/QTLs for future Perilla crop breeding programs.展开更多
文摘Based on RNA sequences using transcriptome analysis, 37 new simple sequence repeat (SSR) primer sets were developed for Perilla species. These new SSR markers were applied to analyze the genetic diversity among 15 accessions of Perilla species. A total of 182 alleles were confirmed in 37 loci, with an average of 4.9 alleles per locus and from 2 to 9 alleles per locus. The MAF (major allele frequency) per locus varied from 0.200 to 0.733, with an average of 0.463. The gene diversity (GD) ranged from 0.391 to 0.853, with an average of 0.670. The average polymorphic information content (PIC) was 0.624, ranging from 0.315 to 0.838. The new SSR markers of Perilla species reported in this study may provide potential markers to analyze the genetic diversity and genetic relationships of Perilla species. In addition, new Perilla SSR markers developed from transcriptome analysis can be useful for the identification of cultivars, conservation of Perilla germplasm resources, and genetic mapping and designating of important genes/QTLs for future Perilla crop breeding programs.
