Utilization of Novel Perilla SSR Markers to Assess the Genetic Diversity of Native Perilla Germplasm Accessions Collected from South Korea

The Perilla crop is highly regarded in South Korea, both as a health food and traditional food. However, there is still a lack of Perilla SSR primer sets (PSPSs) for studying genetic variation among accessions of cultivated and weedy types of Perilla crop (CWTPC) from South Korea. In this study, 30 PSPSs were newly developed based on transcriptome contigs in P. frutescens, and 17 of these PSPSs were used to study the genetic diversity, phylogenetic relationships and structure population among 90 accessions of the CWTPC collected from South Korea. A total of 100 alleles were detected from selected 17 PSPSs, with an average of 5.9 alleles per locus. The gene diversity (GD) ranged from 0.164 to 0.831, with an average of 0.549. The average GD values from the cultivated var. frutescens, weedy var. frutescens, and weedy var. crispa, were 0.331, 0.588, and 0.389 respectively. In addition, most variance shown by Perilla SSR markers was within a population (73%). An analysis of the population structure and phylogenetic relationships showed that the genetic relationship among accessions of the weedy var. frutescens and weedy var. crispa is closer than that for the accessions of the cultivated var. frutescens. Based on association analysis between 17 PSPSs and three seed traits in 90 Perilla accessions, we detected 11 PSPSs that together were associated with the seed size and seed hardness traits. Therefore, the newly developed PSPSs will be useful for analyzing genetic variation among accessions of the CWTPC, association mapping, and selection of important morphological traits in Perilla crop breeding programs.

[1]  J. Rhee,et al.  Construction of a core collection of native Perilla germplasm collected from South Korea based on SSR markers and morphological characteristics , 2021, Scientific Reports.

[2]  J. Rhee,et al.  Genetic Variation of Native Perilla Germplasms Collected from South Korea Using Simple Sequence Repeat (SSR) Markers and Morphological Characteristics , 2021, Plants.

[3]  Jeong-Dong Lee,et al.  A Large Root Phenome Dataset Wide-Opened the Potential for Underground Breeding in Soybean , 2021, Frontiers in Plant Science.

[4]  D. Hyun,et al.  Identifying SSR Markers Related to Seed Fatty Acid Content in Perilla Crop (Perilla frutescens L.) , 2021, Plants.

[5]  Ju Kyong Lee,et al.  Genetic variation and association mapping in the F2 population of the Perilla crop (Perilla frutescens L.) using new developed Perilla SSR markers , 2021, Euphytica.

[6]  Ju Kyong Lee,et al.  Bulk segregant analysis identifies SSR markers associated with leaf- and seed-related traits in Perilla crop (Perilla frutescens L.) , 2021, Genes & Genomics.

[7]  Ju Kyong Lee,et al.  Identifying SSR markers associated with seed characteristics in Perilla (Perilla frutescens L.) , 2021, Physiology and Molecular Biology of Plants.

[8]  Jun Oh,et al.  Assessment of genetic diversity and population structure among a collection of Korean Perilla germplasms based on SSR markers , 2020, Genes & Genomics.

[9]  A. Ji,et al.  Genetic polymorphisms and haplotypic structure analysis of the Guizhou Gelao ethnic group based on 35 Y-STR loci. , 2020, Legal Medicine.

[10]  E. Achigan-Dako,et al.  Understanding Molecular Mechanisms of Seed Dormancy for Improved Germination in Traditional Leafy Vegetables: An Overview , 2020, Agronomy.

[11]  I. Choi,et al.  Development and Characterization of New Microsatellite Markers for Perilla frutescens (L.) Britton , 2019, American Journal of Plant Sciences.

[12]  Su Eun Lim,et al.  Genetic Analysis of F2 Population Derived from the Cross Between Perilla Frutescens var. Frutescens and var. Crispa , 2019, Korean Journal of Breeding Science.

[13]  Ju Kyong Lee,et al.  Genetic diversity and population structure of Perilla frutescens collected from Korea and China based on simple sequence repeats (SSRs) , 2019, Genes & Genomics.

[14]  Ju Kyong Lee,et al.  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) , 2018, Genes & Genomics.

[15]  I. Choi,et al.  Genetic diversity and population structure among accessions of Perilla frutescens (L.) Britton in East Asia using new developed microsatellite markers , 2018, Genes & Genomics.

[16]  T. Hong,et al.  Genetic diversity and population structure analysis in Perilla frutescens from Northern areas of China based on simple sequence repeats. , 2017, Genetics and molecular research : GMR.

[17]  M. Ueno,et al.  Genetic diversity and population structure in cultivated and weedy types of Perilla in East Asia and other countries as revealed by SSR markers , 2015, Horticulture, Environment, and Biotechnology.

[18]  Hideyuki Suzuki,et al.  High-Throughput Sequencing and De Novo Assembly of Red and Green Forms of the Perilla frutescens var. crispa Transcriptome , 2015, PloS one.

[19]  W. Tong,et al.  Gene set by de novo assembly of Perilla species and expression profiling between P. frutescens (L.) var. frutescens and var. crispa. , 2015, Gene.

[20]  Zheng-kun Wang,et al.  De Novo Transcriptome Assembly and Development of Novel Microsatellite Markers for the Traditional Chinese Medicinal Herb, Veratrilla baillonii Franch (Gentianaceae) , 2015, Evolutionary bioinformatics online.

[21]  H. Meng,et al.  Genetic diversity and haplotype structure of 24 Y‐chromosomal STR in Chinese Hui ethnic group and its genetic relationships with other populations , 2014, Electrophoresis.

[22]  K. Ma,et al.  Identification of genetic variations of cultivated and weedy types of Perilla species in Korea and Japan using morphological and SSR markers , 2013, Genes & Genomics.

[23]  Frank Stahl,et al.  Transcriptome analysis using next-generation sequencing. , 2013, Current opinion in biotechnology.

[24]  K. Olsen,et al.  Genetic perspectives on crop domestication. , 2010, Trends in plant science.

[25]  Yong-Jin Park,et al.  Simple Sequence Repeat Polymorphisms (SSRPs) for Evaluation of Molecular Diversity and Germplasm Classification of Minor Crops , 2009, Molecules.

[26]  J. Pritchard,et al.  Documentation for structure software : Version 2 . 3 , 2009 .

[27]  Ju Kyong Lee,et al.  AsianPerilla crops and their weedy forms: Their cultivation, utilization and genetic relationships , 2003, Economic Botany.

[28]  Hui-lin Li The Vegetables of Ancient China , 1969, Economic Botany.

[29]  M. Lee,et al.  Evaluation of genetic diversity and relationships within an on-farm collection of Perilla frutescens (L.) Britt. using microsatellite markers , 2008, Genetic Resources and Crop Evolution.

[30]  Edward S. Buckler,et al.  TASSEL: software for association mapping of complex traits in diverse samples , 2007, Bioinform..

[31]  J. K. Lee Genetic Diversity and Relationships of Cultivated and Weedy types of Perilla frutescens Collected from East Asia revealed by Microsatellite Markers , 2007 .

[32]  Bruce D. Smith,et al.  The Molecular Genetics of Crop Domestication , 2006, Cell.

[33]  G. Evanno,et al.  Detecting the number of clusters of individuals using the software structure: a simulation study , 2005, Molecular ecology.

[34]  Soon-Jae Kwon,et al.  Isolation and characterization of microsatellite markers in Perilla frutescens Brit , 2005 .

[35]  Kejun Liu,et al.  PowerMarker: an integrated analysis environment for genetic marker analysis , 2005, Bioinform..

[36]  H. Ellegren Microsatellites: simple sequences with complex evolution , 2004, Nature Reviews Genetics.

[37]  Ju Kyong Lee,et al.  Genetic relationships among cultivated types of Perilla frutescens and their weedy types in East Asia revealed by AFLP markers , 2003, Genetic Resources and Crop Evolution.

[38]  Michele Morgante,et al.  The comparison of RFLP, RAPD, AFLP and SSR (microsatellite) markers for germplasm analysis , 1996, Molecular Breeding.

[39]  T. Nagamine,et al.  The Distribution of Perilla Species , 2005, Genetic Resources and Crop Evolution.

[40]  C. Park,et al.  Genetic diversity of Perilla and related weedy types in korea determined by AFLP analyses , 2002 .

[41]  Ju Kyong Lee,et al.  Geographic Differentiation of Morphological Characters among Perilla Crops and Their Weedy Types in East Asia , 2001 .

[42]  新田 みゆき Origin of Perilla crops and their weedy type , 2001 .

[43]  M. Nitta,et al.  Genetic relationships among two Perilla crops, shiso and egoma, and the weedy type revealed by RAPD markers , 1999 .

[44]  G. Ladizinsky,et al.  Plant Evolution under Domestication , 1998, Springer Netherlands.

[45]  G. Honda,et al.  Chemotaxonomic and Cytogenetic Studies on Perilla frutescens var. citriodora ("Lemon Egoma") , 1994 .

[46]  J. Hancock Plant Evolution and the Origin of Crop Species , 1992 .

[47]  Y. Koezuka,et al.  Genetic studies of fruit color and hardness in Perilla frutescens. , 1990 .

[48]  S. Sakamoto Origin and Dispersal of Common Millet and Foxtail Millet , 1987 .

[49]  L. R. Dice Measures of the Amount of Ecologic Association Between Species , 1945 .