Identifying SSR markers associated with seed characteristics in Perilla (Perilla frutescens L.)

Ha, Ye Ju; Jin, Kyu; Lee, Ju Kyong

doi:10.1007/s12298-021-00933-3

Cited by 24 publications

(28 citation statements)

References 32 publications

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“…Especially due to the increase in meat consumption and the development of various dishes, foods, and methods using fresh leaves and seed oil, leaves and seed oil of the cultivated type of P. frutescens var. frutescens are attracting attention as health foods in South Korea [ 4 , 26 , 38 , 39 ]. Therefore, in order to develop high-quality Perilla seed oil varieties, it is necessary to analyze the characteristics related to seed fatty acid content of genetic resources of P. frutescens var.…”

Section: Discussionmentioning

confidence: 99%

“…As already explained in the Introduction, SSR markers have many advantages over other marker systems. The advantage of SSR markers is that they are highly reproducible and produce very high allelic variations even between very closely related varieties [ 22 , 24 , 27 , 38 ]. Therefore, in our study, we used SSR markers to determine the genetic diversity and relationships, population structure, and association mapping analysis in 100 accessions of cultivated P. frutescens var.…”

Section: Discussionmentioning

confidence: 99%

“…Recently, in the Perilla crop, SSR primer sets have been developed by many researchers [ 32 , 33 , 34 , 35 , 36 ]. They have successfully analyzed genetic diversity and relationships, population structure, and association mapping among the accessions of cultivated and weedy types of Perilla crop [ 4 , 5 , 26 , 34 , 36 , 37 , 38 , 39 ].…”

Section: Introductionmentioning

confidence: 99%

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Identifying SSR Markers Related to Seed Fatty Acid Content in Perilla Crop (Perilla frutescens L.)

Park

Jin

Hyun

et al. 2021

Plants

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Perilla seed oil has been attracting attention in South Korea as a health food. Five fatty acids of 100 Perilla accessions were identified as follows: palmitic acid (PA) (5.10–9.13%), stearic acid (SA) (1.70–3.99%), oleic acid (OA) (11.1–21.9%), linoleic acid (LA) (10.2–23.4%), and linolenic acid (LNA) (54.3–75.4%). Additionally, the 100 Perilla accessions were divided into two groups (high or low) based on the total fatty acid content (TFAC). By using an association analysis of 40 simple sequence repeat (SSR) markers and the six Perilla seed oil traits in the 100 Perilla accessions, we detected four SSR markers associated with TFAC, five SSR markers associated with LNA, one SSR marker associated with LA, two SSR markers each associated with OA and PA, and four SSR markers associated with SA. Among these SSR markers, four SSR markers (KNUPF14, KNUPF62, KNUPF72, KNUPF85) were all associated with TFAC and LNA. Moreover, two SSR markers (KNUPF62, KNUPF85) were both associated with TFAC, LNA, and OA. Therefore, these SSR markers are considered to be useful molecular markers for selecting useful accessions related to fatty acid contents in Perilla germplasm and for improving the seed oil quality of Perilla crop through marker-assisted selection (MAS) breeding programs.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Identifying SSR Markers Related to Seed Fatty Acid Content in Perilla Crop (Perilla frutescens L.)

Park

Jin

Hyun

et al. 2021

Plants

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“…As explained in the Introduction, SSR markers have many advantages over the other molecular marker systems: simple experimental methods, high reproducibility, polymorphic genetic information contents, the codominant nature of SSR polymorphisms, and their abundance and distribution in genomes [19,21,22]. These advantages make them a suitable tool for studying genetic diversity, genetic relationships, and population structure in Perilla crop [9,14,20,23,33,34]. In our study, we detected a total of 137 alleles with 20 SSRs segregating in the 200 accessions of cultivated P. frutescens var.…”

Section: Genetic Diversity and Population Structure Of Cultivated P Frutescens Var Frutescensmentioning

confidence: 99%

“…In Perilla crop, many researchers have been used to analyze genetic diversity, genetic relationships, and population structure of accessions of cultivated and weedy types of Perilla crop using several DNA molecular marker systems including random amplification of polymorphic DNAs (RAPD) [17], amplified fragment length polymorphisms (AFLP) [3], and simple sequence repeats (SSRs) [9, 13, 14, 18, 19; 20]. Among these DNA molecular markers, particularly SSR markers have provided useful information for the analysis of genetic diversity, genetic relationships, population structure, and association mapping in the germplasm of Perilla crop because they are highly polymorphic, generally codominant, reproducible, and abundant in plant genomes [19][20][21][22][23]. Therefore, SSR markers are expected to be useful for analysis of the genetic diversity, genetic relationships, and population structure of the germplasm of cultivated P. frutescens var.…”

Section: Introductionmentioning

confidence: 99%

Genetic Variation of Native <em>Perilla</em> Germplasms Collected from South Korea Using SSR Markers and Morphological Characteristics

Oh¹,

Jin²,

Park³

et al. 2021

Preprint

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Using morphological characteristics and SSR markers, we evaluated the morphological and genetic variation of 200 Perilla accessions collected from the five regions of South Korea and other region. In morphological characteristics analysis, particularly, leaf color, stem color, degree of pubescence, leaf size were found to be useful for distinguishing the characteristics of native Perilla accessions cultivated in South Korea. A total of 137 alleles were identified in the 20 simple sequence repeat (SSR) markers, and the number of alleles per locus ranged from 3 to 13, and the average number of alleles per locus was 6.85. The average gene diversity (GD) was 0.649, with a range of 0.290-0.828. From analysis of SSR markers, accessions from the Jeolla-do and Gyeongsang-do regions showed comparatively high genetic diversity values compared with those from other regions in South Korea. In the unweighted pair group method with arithmetic mean (UPGMA) analysis, the 200 Perilla accessions were found to cluster into three major groups and an outgroup with a genetic similarity of 42%, and did not showed a clear geographic structure from the five regions of South Korea. Therefore, it is believed that landrace Perilla seeds are frequently exchanged by farmers through various routes between the five regions of South Korea. The results of this study are expected to provide useful information for conservation of these genetic resources and selection of useful resources for the development of varieties for seeds and leafy vegetables of cultivated var. frutescens of Perilla crop in South Korea.

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Genetic Diversity Assessment in Vegetable Crops

Shankar,

Kaushik

2024

Sustainable Development and Biodiversity

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Identifying SSR markers associated with seed characteristics in Perilla (Perilla frutescens L.)

Cited by 24 publications

References 32 publications

Identifying SSR Markers Related to Seed Fatty Acid Content in Perilla Crop (Perilla frutescens L.)

Identifying SSR Markers Related to Seed Fatty Acid Content in Perilla Crop (Perilla frutescens L.)

Genetic Variation of Native <em>Perilla</em> Germplasms Collected from South Korea Using SSR Markers and Morphological Characteristics

Genetic Diversity Assessment in Vegetable Crops

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