Skip to main content
Log in

Genetic variation of seed oil characteristics in native Korean germplasm of Perilla crop (Perilla frutescens L.) using SSR markers

  • Research Article
  • Published:
Genes & Genomics Aims and scope Submit manuscript

Abstract

Background

In order to maximize the use of valuable native Perilla germplasm in South Korea, knowledge of the Perilla seed oil content and genetic variation among native Perilla germplasm resources is very important for the conservation and development of new Perilla seed oil varieties using the native Perilla germplasm accessions preserved from the Rural Development Administration Genebank (RDA-Genebank) collection from South Korea.

Objectives

In this study, we studied population structure and association mapping to identify Perilla SSR markers (PSMs) associated with the five fatty acid contents and two seed characteristics of the native Korean Perilla germplasm accessions of cultivated var. frutescens of the RDA-Genebank collected in South Korea.

Methods

For an association mapping analysis to find PSMs associated with the five fatty acid contents and two seed characteristics of the Perilla germplasm accessions of cultivated var. frutescens, we evaluated the content of five fatty acids of 280 native Korean Perilla germplasm accessions and used 29 Perilla SSR primer sets to measure the genetic diversity and relationships, population structure, and association mapping of the native Korean Perilla germplasm accessions of the RDA-Genebank collected in South Korea.

Results

Five fatty acids of 280 native Korean Perilla accessions were identified as follows: palmitic acid (PA) (5.30–8.66%), stearic acid (SA) (1.60–4.19%), oleic acid (OA) (9.60–22.5%), linoleic acid (LA) (8.38–25.4%), and linolenic acid (LNA) (52.7–76.4%). In a correlation analysis among the five fatty acids and two seed characteristics of the 280 Perilla accessions, the combinations of PA and SA (0.794**) and SA and OA (0.724**) showed a particularly high positive correlation coefficients compare to other combinations. By using an association analysis of the 29 PSMs and the five fatty acids in the 280 Perilla accessions, we found 17 PSMs (KNUPF1, KNUPF2, KNUPF4, KNUPF10, KNUPF16, KNUPF25, KNUPF26, KNUPF28, KNUPF37, KNUPF55, KNUPF62, KNUPF71, KNUPF74, KNUPF77, KNUPF85, KNUPF89, and KNUPF118) associated with the content of the five fatty acid components and two seed characteristics.

Conclusions

These PSMs are considered to be useful molecular markers related to five fatty acid components and two seed characteristics for selecting accessions from the germplasm accessions of the Perilla crop and their related weedy types through association mapping analysis and marker-assisted selection (MAS) breeding programs.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

References

  • Akagi H, Yokozaki Y, Inagaki A, Fujimura T (1997) Highly polymorphic microsatellites of rice consist of AT repeats, and a classification of closely related cultivars with these microsatellite loci. Theor Appl Genet 94:61–67

    Article  CAS  PubMed  Google Scholar 

  • Asif M (2011) Health effects of omega-3,6,9 fatty acids: Perilla frutescens is a good example of plant oils. Orient Pharm Exp Med 11:51–59

    Article  PubMed  PubMed Central  Google Scholar 

  • Bradbury PJ, Zhang Z, Kroon DE, Casstevens TM, Ramdoss Y, Buckler ES (2007) TASSEL: software for association mapping of complex traits in diverse samples. Bioinformatics 23:2633–2635

    Article  CAS  PubMed  Google Scholar 

  • Breseghello F, Sorrells ME (2006) Association mapping of kernel size and milling quality in wheat (Triticum aestivum L.) cultivars. Genetics 172:1165–1177

    Article  PubMed  PubMed Central  Google Scholar 

  • Choi JK, Sa KJ, Park DH, Lim SE, Ryu SH, Park JY, Park KJ, Rhee HI, Lee M, Lee JK (2019) Construction of genetic linkage map and identification of QTLs related to agronomic traits in DH population of maize (Zea mays L.) using SSR markers. Genes Genom 41:667–678

    Article  CAS  Google Scholar 

  • Ciftci ON, Przybylski R, Rudzin’ska M (2012) Lipid components of flax, perilla, and chia seeds. Eur J Lipid Sci Technol 114:794–800

    Article  CAS  Google Scholar 

  • Dhillon BS, Singh BS, Parsad M, Gupta VKR, Singh BB (2004) Evaluation of plant genetic resources: issues, advances and opportunities. In: Dhillon BS, Tyagi RK, Lal A, Saxena S (eds) Plant genetic resource management. Narosa Publishing House, New Delhi, pp 242–265

    Google Scholar 

  • Dice LR (1945) Measures of the amount of ecologic association between species. Ecology 26:297–302

    Article  Google Scholar 

  • Ding Y, Neo CM, Hu Y, Shi L, Ma C, Liu YJ (2012) Characterization of fatty acid composition from five perilla seed oils in China and its relationship to annual growth temperature. J Med Plants Res 6:1645–1651

    CAS  Google Scholar 

  • Ersoz ES, Yu J, Buckler ES (2007) Applications of linkage disequilibrium and association mapping in crop plants. In: Genomics-assisted crop improvement. Springer, pp 97–119. https://doi.org/10.1007/978-1-4020-6295-7_5

  • Evanno G, Regnaut S, Goudet J (2005) Detecting the number of clusters of individuals using the software STRUCTURE: a simulation study. Mol Ecol 14:2611–2620

    Article  CAS  PubMed  Google Scholar 

  • Gwari G, Lohani H, Haider SZ, Bhandari U, Chauhan N, Rawat DS (2014) Fatty acid and nutrient composition of perilla (Perilla Frutescens L.) accessions collected from Uttarakhand. Inter J Phytop 5:379–382

    Google Scholar 

  • Ha YJ, Sa KJ, Lee JK (2021) Identifying SSR markers associated with seed characteristics in Perilla (Perilla frutescens L.). Physiol Mol Biol Plants 27:93–105

    Article  PubMed  PubMed Central  Google Scholar 

  • Hashimoto M, Matsuzaki K, Kato S, Hossain S, Ohno M, Shido O (2020) Twelve-Month Studies on Perilla Oil Intake in Japanese Adults-Possible Supplement for Mental Health. Foods 9:530

    Article  CAS  PubMed Central  Google Scholar 

  • Kim JY, Sa KY, Ha YJ, Lee JK (2021) Genetic variation and association mapping in F2 population of Perilla crop (Perilla frutescens L.) using new developed Perilla SSR markers. Euphytica 217:135

    Article  CAS  Google Scholar 

  • Kopecky J, Rossmeisl M, Flachs P, Kuda O, Brauner P, Jilkova Z, Stankova B, Tvrzicka E, Bryhn M (2009) n-3 PUFA: Bioavailability and modulation of adipose tissue function. Proc Nutr Soc 68:361–369

    Article  CAS  PubMed  Google Scholar 

  • Kumar S, Stecher G, Li M, Knyaz C, Tamura K (2018) MEGA X: molecular evolutionary genetics analysis across computing platforms. Mol Biol Evol 35:1547–1549

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • 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 Eco Notes 5:454–456

    Article  Google Scholar 

  • Lee JK, Ohnishi O (2001) Geographical differentiation of morphological characters among Perilla crops and their weedy types in East Asia. Breed Sci 51:247–255

    Article  Google Scholar 

  • 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

    Article  CAS  Google Scholar 

  • Lee JI, Han ED, See ST, Park HW (1986) Study on the evaluation of oil quality and the differences of fatty acid composition between varieties in Perilla (Perilla frutescens Britton var. japonica Hara). Korean J Breed Sci 18:228–233

    Google Scholar 

  • Lee JI, Bang JK, Lee BH, Kim KH (1991) Quality improvement in Perilla. I. Varietal differences of oil content and fatty acid composition. Korean J Crop Sci 36:48–61

    Google Scholar 

  • 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

    Article  CAS  Google Scholar 

  • Lee J, Lee MH, Cho EJ, Lee S (2016) High-yield methods for purification of a-linolenic acid from Perilla frutescens var. japonica oil. Appl Biol Chem 59:89–94

    Article  CAS  Google Scholar 

  • Lim SE, Sa KJ, Lee JK (2021) Bulk segregant analysis identifies SSR markers associated with leaf-and seed related traits in Perilla crop (Perilla frutescens L.). Genes Genom 43:323–332

    Article  CAS  Google Scholar 

  • Liu K, Muse S (2005) PowerMarker: An integrated analysis environment for genetic marker analysis. Bioinformatics 21:2128–2129

    Article  CAS  PubMed  Google Scholar 

  • Ma SJ, Sa KJ, Hong TK, Lee JK (2019) Genetic diversity and population structure analysis in Perilla crop and their weedy types from northern and southern areas of China based on simple sequence repeat (SSRs). Genes Genom 41:267–281

    Article  CAS  Google Scholar 

  • Makino T (1961) Makino’s new illustrated flora of Japan. Hokuryukan Co, Tokyo (in Japanese)

    Google Scholar 

  • Mason AS (2015) SSR Genotyping. In: Batley J (ed) Plant genotyping. Springer, New York, pp 77–89

    Chapter  Google Scholar 

  • Nei M (1973) Analysis of gene diversity in subdivided populations. PNAS 70:3321–3323

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • 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

    Article  Google Scholar 

  • Nitta M, Lee JK, Kobayashi H, Liu D, Nagamine T (2005) Diversification of multipurpose plant, Perilla frutescens. Genet Resour Crop Evol 52:663–670

    Article  Google Scholar 

  • Oh JK, Sa KJ, Hyun DY, Cho GT, Lee JK (2020) Assessment of genetic diversity and population structure among a collection of Korean Perilla germplasms based on SSR markers. Genes Genom 42:1419–1430

    Article  CAS  Google Scholar 

  • Oh JK, Sa KJ, Park H, Hyun DY, Lee S, Rhee JH, Lee JK (2021) Genetic variation of native perilla germplasms collected from South Korea Using Simple Sequence Repeat (SSR) markers and morphological characteristics. Plants 10:1764

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Okamoto M, Mitsunobu F, Ashida K, Mifune T, Hosaki Y, Tsugeno H, Harada S, Tanizaki Y (2000) Effects of Dietary supplementation with n-3 fatty acids compared with n-6 fatty acids on bronchial asthma. Intern Med 39:107–111

    Article  CAS  PubMed  Google Scholar 

  • Park CB, Lee JI, Lee BH, Son SY (1992) Quality improvement in Perilla. II. Variation of fatty acid composition in M2 population. Korean J Breed Sci 24:308–314

    Google Scholar 

  • 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 microsatellite markers. Genet Resour Crop Evol 55:523–535

    Article  CAS  Google Scholar 

  • 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

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Park DH, Sa KJ, Lim SE, Ma SJ, Lee JK (2019) Genetic diversity and population structure of Perilla frutescens collected from Korea and China based on simple sequence repeats (SSRs). Genes Genom 41:1329–1340

    Article  CAS  Google Scholar 

  • Park H, Sa KJ, Hyun DY, Lee S, Lee JK (2021) Identifying SSR markers related to seed fatty acid content in Perilla crop (Perilla frutescens L.). Plants 10:1404

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Powell W, Morgante M, Andre C, Hanafey M, Vogelet J, Tingey S, Rafalski A (1996) The comparison of RFLP, RAPD, AFLP and SSR (microsatellite) markers for germplasm analysis. Mol Breed 2:225–238

    Article  CAS  Google Scholar 

  • Pritchard JK, Wen W (2003) Documentation for STRUCTURE Software: Version. http://www.pritc.h.bsd.uchicago.Edu Accessed 1 Aug 2021

  • Risch N, Merikangas K (1996) The future of genetic studies of complex human diseases. Science 273:1516–1517

    Article  CAS  PubMed  Google Scholar 

  • Russo GL (2009) Dietary n-6 and n-3 polyunsaturated fatty acids: From biochemistry to clinical implications in cardiovascular prevention. Biochem Pharmacol 77:937–946

    Article  CAS  PubMed  Google Scholar 

  • 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 Genom 35:649–659

    Article  CAS  Google Scholar 

  • 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 56:524–534

    Article  Google Scholar 

  • Sa KJ, Choi IK, Park KC, Lee JK (2018) Genetic diversity and population structure among accessions of Perilla frutescens (L.) Britton in East Asia using new developed microsatellite markers. Genes Genom 40:1319–1329

    Article  Google Scholar 

  • Sa KJ, Lim SE, Choi IK, Park KC, Lee JK (2019) Development and characterization of new microsatellite markers for Perilla frutescens (L.) Britton. Am J Plant Sci 10:1623–1630

    Article  CAS  Google Scholar 

  • Sa KJ, Kim DM, Oh JS, Park H, Hyun DY, Lee S, Rhee JH, Lee JK (2021) Construction of a core collection of native Perilla germplasm collected from South Korea based on SSR markers and morphological characteristics. Sci Rep 11:23891

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Shin HS, Kim SW (1994) Lipid composition of perilla seed. J Am Oil Chem Soc 71:619–622

    Article  CAS  Google Scholar 

  • Song JY, Lee JR, Kim CY, Bae CH, Lee GA, Ma KH, Choi YM, Park HJ, Lee MC (2012) Assessment of Genetic Diversity and Fatty acid Composition of Perilla (Perilla frutescens var. frutescens) Germplasm. Korean J Plant Res 25:762–772

    Article  Google Scholar 

  • Talbott SM, Hughes K (2006) Perilla seed oil (Perilla frutescens). The health professional’s guide to dietary supplements. Lippincott Williams & Wilkins, Baltimore, pp 258–260

    Google Scholar 

Download references

Acknowledgements

This study was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (No. 2022R1F1A1063300) and the Cooperative Research Program for Agriculture Science & Technology Development (project no. PJ014227032019 and PJ0142272019), Rural Development Administration, Republic of Korea.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ju Kyong Lee.

Ethics declarations

Conflict of interest

Hyeon Park declares that he has no conflict of interest. Kyu Jin Sa declares that he has no conflict of interest. Sookyeong Lee declares that she has no conflict of interest. Ju Kyong Lee declares that he has no conflict of interest.

Ethical approval

This article does not contain any studies with human subjects or animals performed by any of the above authors.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Below is the link to the electronic supplementary material.

Supplementary file1 (XLSX 29 KB)

Supplementary file2 (DOCX 20 KB)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Park, H., Sa, K.J., Lee, S. et al. Genetic variation of seed oil characteristics in native Korean germplasm of Perilla crop (Perilla frutescens L.) using SSR markers. Genes Genom 44, 1159–1170 (2022). https://doi.org/10.1007/s13258-022-01289-y

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s13258-022-01289-y

Keywords

Navigation