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Genetic diversity and population structure among accessions of Perilla frutescens (L.) Britton in East Asia using new developed microsatellite markers

  • Sa, Kyu Jin (Department of Applied Plant Sciences, College of Agriculture and Life Sciences, Kangwon National University) ;
  • Choi, Ik?Young (Department of Agriculture and Life Industry, Kangwon National University) ;
  • Park, Kyong?Cheul (Department of Agriculture and Life Industry, Kangwon National University) ;
  • Lee, Ju Kyong (Department of Applied Plant Sciences, College of Agriculture and Life Sciences, Kangwon National University)
  • Received : 2018.02.23
  • Accepted : 2018.08.08
  • Published : 2018.12.31

Abstract

SSRs were successfully isolated from the Perilla crop in our current study, and used to analyze Perilla accessions from East Asia. Analyses of the clear genetic diversity and relationship for Perilla crop still remain insufficient. In this study, 40 new simple sequence repeat (SSR) primer sets were developed from RNA sequences using transcriptome analysis. These new SSR markers were applied to analyze the diversity, relationships, and population structure among 35 accessions of the two cultivated types of Perilla crop and their weedy types. A total of 220 alleles were identified at all loci, with an average of 5.5 alleles per locus and a range between 2 and 10 alleles per locus. The MAF (major allele frequency) per locus varied from 0.229 to 0.943, with an average of 0.466. The average polymorphic information content (PIC) value was 0.603, ranging from 0.102 to 0.837. The genetic diversity (GD) ranged from 0.108 to 0.854, with an average of 0.654. Based on population structure analysis, all accessions were divided into three groups: Group I, Group II and the admixed group. This study demonstrated the utility of new SSR analysis for the study of genetic diversity and population structure among 35 Perilla accessions. The GD of each locus for accessions of cultivated var. frutescens, weedy var. frutescens, cultivated var. crispa, and weedy var. crispa were 0.415, 0.606, 0.308, and 0.480, respectively. Both weedy accessions exhibited higher GD and PIC values than their cultivated types in East Asia. The new SSR primers of Perilla species reported in this study may provide potential genetic markers for population genetics to enhance our understanding of the genetic diversity, genetic relationship and population structure of the cultivated and weedy types of P. frutescens in East Asia. In addition, new Perilla SSR primers developed from RNA-seq can be used in the future for cultivar identification, conservation of Perilla germplasm resources, genome mapping and tagging of important genes/QTLs for Perilla breeding programs.

Keywords

Acknowledgement

Supported by : National Research Foundation of Korea (NRF)

References

  1. Bostein D, White RL, Skolnick M, Davis RW (1980) Construction of a genetic linkage map in man using restriction fragment length polymorphisms. Am J Genet 32:314-331
  2. Dice LR (1945) Measures of the amount of ecologic association between species. Ecology 26:297-302 https://doi.org/10.2307/1932409
  3. Evanno G, Regnaut S, Goudet J (2005) Detecting the number of clusters of individuals using the software STRU CTU RE: a simulation study. Mol Ecol 14:2611-2620 https://doi.org/10.1111/j.1365-294X.2005.02553.x
  4. Fukushima A, Nakamura M, Suzuki H, Saito K, Yamazaki M (2015) High-throughput sequencing and de novo assembly of red and green forms of the Perilla frutescens var. crispa Transcriptome. PLoS ONE 10(6):e0129154. https://doi.org/10.1371/journal.pone.01291 54
  5. Hamza S, Hamida WB, Rebai A, Harrabi M (2004) SSR-based genetic diversity assessment among Tunisian winter barley and relationship with morphological traits. Euphytica 135:107-118 https://doi.org/10.1023/B:EUPH.0000009547.65808.bf
  6. Hancock JF (1992) Plant evolution and the origin of crop species. Prentice Hall, Englewood Cliffs
  7. Jochen CR, Hamrit S, Heckenberger M, Schipprack W, Maurer HP, Bohn M, Melchinger AE (2005) Genetic structure and diversity of European flint maize populations determined with SSR analyses of individuals and bulks. Theor Appl Genet 111:906-913 https://doi.org/10.1007/s00122-005-0016-1
  8. Kwon SJ, Lee JK, Kim NS, Yu JW, Dixit A, Cho EG, Park YJ (2005) Isolation and characterization of SSR markers in Perilla frutescens Britt. Mol Ecol Notes 5:454-456
  9. Ladizinsky G (1998) Plant evolution under domestication. Chapman & Hall Published, Raleigh
  10. Lee JK, Kim NS (2007) Genetic diversity and relationships of cultivated and weedy types of Perilla frutescens collected from East Asia revealed by SSR markers. Korean J Breed Sci 39:491-499
  11. Lee JK, Ohnishi O (2001) Geographic differentiation of morphological characters among Perilla crops and their weedy types in East Asia. Breed Sci 51:247-255 https://doi.org/10.1270/jsbbs.51.247
  12. Lee JK, Ohnishi O (2003) Genetic relationships among cultivated types of Perilla frutescens and their weedy types in East Asia revealed by AFLP markers. Genet Resour Crop Evol 50:65-74 https://doi.org/10.1023/A:1022951002271
  13. Lee JK, Nitta M, Kim NS, Park CH, Yoon KM, Shin YB, Ohnishi O (2002) Genetic diversity of Perilla and related weedy types in Korea determined by AFLP analyses. Crop Sci 42:2161-2166 https://doi.org/10.2135/cropsci2002.2161
  14. Lee JK, Kwon SJ, Park BJ, Kim MJ, Park YJ, Ma KH, Lee SY, Kim JH (2007) Analysis of genetic diversity and Relationships of cultivated and weedy types of Perilla frutescens collected from Korea by using microsatellite markers. Korean J Genet 29:81-89
  15. Li HL (1969) The vegetables of ancient China. Econ Bot 23:235-260
  16. Liu K, Muse SV (2005) PowerMarker: an integrated analysis environment for genetic marker analysis. Bioinformatics 21:2128-2129 https://doi.org/10.1093/bioinformatics/bti282
  17. Ma SJ, Sa KJ, Hong TK, Lee JK (2017) Genetic diversity and population structure analysis in Perilla frutescens from Northern areas of China based on simple sequence repeats. Genet Mol Res 16(3):gmr16039746. https://doi.org/10.4238/gmr16039746
  18. Makino T (1961) Makino's new illustrated flora of Japan. Hokuryukan, Tokyo (in Japanese)
  19. Mutz KO, Heilkenbrinker A, Lonne M, Walter JG, Stahl F (2012) Transcriptome analysis using next-generation sequencing. Curr Opin Biotechnol 24:22-30
  20. Ni J, Colowit PM, Mackill DJ (2002) Evaluation of Genetic Diversity in Rice Subspecies Using SSR Markers. Crop Sci 42:601-607 https://doi.org/10.2135/cropsci2002.6010
  21. Nitta M (2001) Origin Perilla crops and their weedy type. Ph.D. Thesis, Kyoto University, Kyoto, p. 78
  22. Nitta M, Ohnishi O (1999) Genetic relationships among two Perilla crops, shiso and egoma, and the weedy type revealed by RAPD markers. Jpn J Genet 74:43-48
  23. Nitta M, Lee JK, Ohnishi O (2003) Asian Perilla crops and their weedy forms: their cultivation, utilization and genetic relationships. Econ Bot 57:245-253 https://doi.org/10.1663/0013-0001(2003)057[0245:APCATW]2.0.CO;2
  24. Nitta M, Lee JK, Kang CW, Katsuta M, Yasumoto S, Liu D, Nagamine T, Ohnishi O (2005) The distribution of Perilla species. Genet Resour Crop Evol 52:797-8044 https://doi.org/10.1007/s10722-003-6017-5
  25. Park YJ, Dixit A, Ma KH, Lee JK, Lee MH, Chung CS, Nitta M, Okuno K, Kim TS, Cho EG, Rao VR (2008) Evaluation of genetic diversity and relationships within an on-farm collection of Perilla frutescens (L.) Britt. using SSR markers. Genet Resour Crop Evol 55:523-535 https://doi.org/10.1007/s10722-007-9258-x
  26. Park YJ, Lee JK, Kim NS (2009) Simple sequence repeat polymorphisms (SSRPs) for evaluation of molecular diversity and germplasm classification of minor crops. Molecules 14:4546-4569 https://doi.org/10.3390/molecules14114546
  27. Powell W, Morgante M, Andre C, Hanafey M, Vogel J, Tingey S, Rafalski A (1996) The comparison of RFLP, RAPD, AFLP and SSR (SSR) markers for germplasm analysis. Mol Breed 2:225-238 https://doi.org/10.1007/BF00564200
  28. Prasad M, Varshney RK, Roy JK, Balyan HS, Gupta PK (2000) The use of microsatellites for detecting DNA polymorphism, genotype identification and genetic diversity in wheat. Theor Appl Genet 100:584-592
  29. Pritchard JK, Wen W (2003) Documentation for STRU CTU RE software: Version 2
  30. Rohlf FJ (1998) NTSYS-pc: numerical taxonomy and multivariate analysis system. Version: 2.02. Exter Software, Setauket
  31. Sa KJ, Park JY, Park KJ, Lee JK (2010) Analysis of genetic diversity and relationships among waxy maize inbred lines in Korea using SSR markers. Genes Genomics 32:375-384 https://doi.org/10.1007/s13258-010-0025-6
  32. Sa KJ, Kim JA, Lee JK (2012) Comparison of seed characteristics between the cultivated and the weedy types of Perilla species. Hort Environ Biotechnol 53(4):310-315 https://doi.org/10.1007/s13580-012-0031-5
  33. Sa KJ, Choi SH, Ueno M, Park KC, Park YJ, Ma KH, Lee JK (2013) Identification of genetic variations of cultivated and weedy types of Perilla species in Korea and Japan using morphological and SSR markers. Genes Genomics 35:649-659 https://doi.org/10.1007/s13258-013-0117-1
  34. Sa KJ, Choi SH, Ueno M, Lee JK (2015) Genetic diversity and population structure in cultivated and weedy types of Perilla in East Asia and other countries as revealed by SSR markers. Hortic Environ Biotechnol 56(4):524-534 https://doi.org/10.1007/s13580-015-0039-8
  35. Schontz D, Rether B (1999) Genetic variability in foxtail millet, Setaria italica (L.) P. Beauv.: identification and classification of lines with RAPD markers. Plant Breed 118:190-192 https://doi.org/10.1046/j.1439-0523.1999.118002190.x
  36. Tong W, Kwon SJ, Lee JS, Choi IK, Park YJ, Choi SH, Sa KJ, Kim BW, Lee JK (2015) Gene set by de novo assembly of Perilla species and expression profiling between P. frutescens (L.) var. frutescens and var. crispa. Gene 559:155-163 https://doi.org/10.1016/j.gene.2015.01.028
  37. Wang R, Yu Y, Zhao J, Shi Y, Song Y, Wang T, Li Y (2008) Population structure and linkage disequilibrium of a mini core set of maize inbred lines in China. Theor Appl Genet 117:1141-1153 https://doi.org/10.1007/s00122-008-0852-x
  38. Wang L, Wang Z, Chen J, Liu C, Zhu W, Wang L, Meng L (2015) De novo transcriptome assembly and development of novel microsatellite markers for the traditional chinese medicinal herb, Veratrilla baillonii franch (Gentianaceae). Evol Bioinform 11(S1):39-45. https://doi.org/10.4137/EBO.S2094 2
  39. Xia XC, Reif JC, Melchinger AE, Frisch M, Hoisington DA, Beck K, Pixley K, Warburton ML (2005) Genetic diversity among CIMMYT maize inbred lines investigated with SSR markers: II. Subtropical, tropical midaltitude, and highland maize inbred lines and their relationships with elite U.S. and European maize. Crop Sci 45:2573-2582 https://doi.org/10.2135/cropsci2005.0246

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