Literature DB >> 30426456

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).

Shi Jun Ma1,2, Kyu Jin Sa1, Tak-Ki Hong1, Ju Kyong Lee3.   

Abstract

INTRODUCTION: Identification of genetic variation is an essential ability for the long-term success of breeding programs and maximizes the use of germplasm resources. In East Asia, China has a long history of the cultivation of Perilla crop, but there has been little research on the genetic diversity and genetic relationships among accessions of Perilla crop and their weedy types.
OBJECTIVES: To better understand the genetic variations of the cultivated and weedy types of Perilla crop in China, the 91 accessions were evaluated for genetic diversity by 21 simple sequence repeat (SSR) markers.
METHODS: SSR amplifications were conducted in a total volume of 20 µL, consisting of 20 ng genomic DNA, 1X PCR buffer, 0.5 µM forward and reverse primers, 0.2 mM dNTPs, and 1 U Taq polymerase. Power Marker version 3.25 was applied to obtain the information on the number of alleles, allele frequency, major allele frequency, gene diversity (GD), and polymorphic information content (PIC). The similarity matrix was used to construct an unweighted pair group method with arithmetic mean dendrogram by the application of SAHN-Clustering from NTSYS-pc.V.2.1.
RESULTS: A total of 147 alleles were identified with an average of 7 alleles per locus. The average values of PIC and GD were 0.577 and 0.537, respectively. The genetic diversity level of accessions from Northern China was lower than accessions from Southern China. The genetic diversity level and PIC values for accessions of var. crispa were the highest. For accessions of cultivated var. frutescens, genetic diversity in Southern China was higher than that in Northern China.
CONCLUSION: Most cultivated Perilla accessions were clearly separated from weedy Perilla accessions, but there was no clear geographic structure between cultivated Perilla crop and weedy types based on their regional distribution. This study demonstrated the utility of SSR analysis for performing genetic and population analysis of cultivated and weedy types of Perilla accessions in China.

Entities:  

Keywords:  Genetic similarity; Geographical location; Perilla frutescens; Polymorphic information content; Population structure; SSR marker

Mesh:

Year:  2018        PMID: 30426456     DOI: 10.1007/s13258-018-0756-3

Source DB:  PubMed          Journal:  Genes Genomics        ISSN: 1976-9571            Impact factor:   1.839


  8 in total

1.  PowerMarker: an integrated analysis environment for genetic marker analysis.

Authors:  Kejun Liu; Spencer V Muse
Journal:  Bioinformatics       Date:  2005-02-10       Impact factor: 6.937

2.  Detecting the number of clusters of individuals using the software STRUCTURE: a simulation study.

Authors:  G Evanno; S Regnaut; J Goudet
Journal:  Mol Ecol       Date:  2005-07       Impact factor: 6.185

3.  Population structure and linkage disequilibrium of a mini core set of maize inbred lines in China.

Authors:  Ronghuan Wang; Yongtao Yu; Jiuran Zhao; Yunsu Shi; Yanchun Song; Tianyu Wang; Yu Li
Journal:  Theor Appl Genet       Date:  2008-08-12       Impact factor: 5.699

Review 4.  Phytochemical and phytopharmacological review of Perilla frutescens L. (Labiatae), a traditional edible-medicinal herb in China.

Authors:  Hua Yu; Jian-Feng Qiu; Li-Juan Ma; Yuan-Jia Hu; Peng Li; Jian-Bo Wan
Journal:  Food Chem Toxicol       Date:  2016-11-24       Impact factor: 6.023

5.  SSR-based genetic diversity and structure of garlic accessions from Brazil.

Authors:  Camila Pinto da Cunha; Francisco Vilela Resende; Maria Imaculada Zucchi; José Baldin Pinheiro
Journal:  Genetica       Date:  2014-09-02       Impact factor: 1.082

6.  Genetic diversity and population structure analysis in Perilla frutescens from Northern areas of China based on simple sequence repeats.

Authors:  S J Ma; K J Sa; T K Hong; J K Lee
Journal:  Genet Mol Res       Date:  2017-09-21

7.  Molecular insights of genetic variation in Erianthus arundinaceus populations native to China.

Authors:  Jianbo Zhang; Jiajun Yan; Yunwei Zhang; Xiao Ma; Shiqie Bai; Yanqi Wu; Zhixue Dao; Daxu Li; Changbing Zhang; Yu Zhang; Minghong You; Fuyu Yang; Jin Zhang
Journal:  PLoS One       Date:  2013-11-25       Impact factor: 3.240

Review 8.  Simple sequence repeat polymorphisms (SSRPs) for evaluation of molecular diversity and germplasm classification of minor crops.

Authors:  Yong-Jin Park; Ju Kyong Lee; Nam-Soo Kim
Journal:  Molecules       Date:  2009-11-10       Impact factor: 4.411

  8 in total
  4 in total

1.  Genetic diversity and population structure of Perilla frutescens collected from Korea and China based on simple sequence repeats (SSRs).

Authors:  Dae Hyun Park; Kyu Jin Sa; Su Eun Lim; Shi Jun Ma; Ju Kyong Lee
Journal:  Genes Genomics       Date:  2019-08-29       Impact factor: 1.839

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

Authors:  Ye Ju Ha; Kyu Jin Sa; Ju Kyong Lee
Journal:  Physiol Mol Biol Plants       Date:  2021-01-25

3.  Comparative plastid genomics of four Pilea (Urticaceae) species: insight into interspecific plastid genome diversity in Pilea.

Authors:  Jingling Li; Jianmin Tang; Siyuan Zeng; Fang Han; Jing Yuan; Jie Yu
Journal:  BMC Plant Biol       Date:  2021-01-07       Impact factor: 4.215

4.  Construction of a core collection of native Perilla germplasm collected from South Korea based on SSR markers and morphological characteristics.

Authors:  Kyu Jin Sa; Dong Min Kim; Jun Seok Oh; Hyeon Park; Do Yoon Hyun; Sookyeong Lee; Ju Hee Rhee; Ju Kyong Lee
Journal:  Sci Rep       Date:  2021-12-13       Impact factor: 4.379

  4 in total

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