Evidence map›Paper›PMID 39292410›Full record

ArticleGenes & genomics2024

Association mapping analysis (AMA) for morpho-agronomic traits and leaf aromatic compounds using SSR markers in three types of Perilla crop collected from South Korea.

Jungeun Cho, Hyeon Park, Tae Hyeon Heo, Ju Kyong Lee

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Article in Genes & genomics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2 citing papers in PubMed.

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5 · Who and what money

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4 authors.

Jungeun ChoDepartment of Applied Plant Sciences, College of Agriculture and Life Sciences, Kangwon National University, Chuncheon, 24341, Korea.
Hyeon ParkDepartment of Applied Plant Sciences, College of Agriculture and Life Sciences, Kangwon National University, Chuncheon, 24341, Korea.
Tae Hyeon HeoDepartment of Applied Plant Sciences, College of Agriculture and Life Sciences, Kangwon National University, Chuncheon, 24341, Korea.
Ju Kyong LeeDepartment of Applied Plant Sciences, College of Agriculture and Life Sciences, Kangwon National University, Chuncheon, 24341, Korea. jukyonglee@kangwon.ac.kr.ORCID 0000-0002-2769-0799

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPerilla is a representative leafy vegetable in South Korea. As K-Food (Korean food) is in the spotlight around the world, there is also increasing interest in Western countries in Perilla crop, an annual plant belonging to the Lamiaceae family.

objectiveTo discover comprehensive information, including genetic and phylogenetic relationships among the 80 native Perilla accessions, using three types of data: simple sequence repeat (SSR) marker data, volatiles profile data, and morpho-agronomic data.

methodsThis study conducted genotypic and phenotypic analyses on 80 Perilla accessions of three types (cultivated var. frutescens, weedy var. frutescens, weedy var. crispa) from South Korea. Five groups (G1-G5) of the 80 Perilla accessions of the three types were differentiated into two different clusters [genotype-based clustering (GTC) and phenotype-based clustering (PTC)] based on an aroma sensory phenotypic test.

resultsA total of 314 alleles were confirmed using 55 Perilla SSR primer sets, and genetic variation in the 80 Perilla accessions was evaluated. Among the three statistical analysis methods, principal coordinate analysis (PCoA) and GTC using data of the 55 Perilla SSR markers revealed perfectly consistent results, whereas PTC produced a total of six clusters. The 10 Perilla SSR markers associated with and significantly correlated with both biochemical and morphological characteristics were selected.

conclusionsThese findings are expected to provide valuable information for developing global South Korean Perilla cultivars for further studies in Perilla crop breeding programs.

Indexed as

Microsatellite RepeatsPerillaPhenotypeChromosome MappingGenotypePhylogenyPlant LeavesRepublic of KoreaAromatic compoundsAssociation mapping analysisMorphological (qualitative and quantitative) traitsPerilla frutescensPerilla leafSSR marker

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