期刊
GENES & GENOMICS
卷 41, 期 11, 页码 1329-1340出版社
SPRINGER
DOI: 10.1007/s13258-019-00860-4
关键词
Perilla frutescens; Genetic diversity; SSR marker; UPGMA; Population structure
资金
- Basic Science Research Program through the National Research Foundation of Korea (NRF) - Ministry of Education, Science and Technology [2016R1D1A1B01006461]
- Cooperative Research Program for Agriculture Science and Technology Development, Rural Development Administration, Republic of Korea [PJ014227032019, PJ0142272019]
- National Research Foundation of Korea [2016R1D1A1B01006461] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
- Rural Development Administration (RDA), Republic of Korea [PJ014227032019] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
Background Perilla frutescens (L.) Britt. is divided into two varieties based on morphology and use. One is P. frutescens var. frutescens, which is used both as a leafy vegetable and as an oil obtained from the seeds. The other variety is P. frutescens var. crispa, a Chinese medicine or spice vegetable crop. In addition, weedy types of var. frutescens and var. crispa are occasionally grown as relict forms and are easy to find on roadsides, in waste areas and around farmers' fields or farmhouses. SSR markers have been successfully used to examine the genetic diversity and relationships of cultivated and weedy types of Perilla in many regions. Objectives In this study, we used 25 simple sequence repeat (SSR) markers were used to assess the genetic diversity and population structure of 90 Perilla accessions from Korea and China. Methods A total of 90 accessions of Perilla were collected in Korea and China included 45 accessions from each of Korea and China. We selected 25 SSR markers representing the polymorphism of and adequately amplifying all the Perilla accessions. Results A total of 153 alleles were identified, with an average of 6.12 alleles per locus. The GD level and PIC value for cultivated and weedy types of P. frutescens from China were higher than those for accessions from Korea. Weedy accessions had higher GD and PIC values than cultivated accessions. In the population structure analysis using the model-based method, the 90 Perilla accessions were divided into two main group and an admixed group based on a membership probability threshold of 0.8. Based on the distance-based unweighted pair group method with the arithmetic mean (UPGMA), all accessions were classified into four major groups with a genetic similarity of 32.8%. Conclusion Finally, the findings of this study will provide useful theoretical knowledge for further study of the population structure and genetic diversity of Perilla species and benefit Perilla crop breeding and germplasm conservation in Korea and China.
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