American Journal of Plant Sciences

Volume 10, Issue 9 (September 2019)

ISSN Print: 2158-2742   ISSN Online: 2158-2750

Google-based Impact Factor: 1.20  Citations  h5-index & Ranking

Development and Characterization of New Microsatellite Markers for Perilla frutescens (L.) Britton

HTML  XML Download Download as PDF (Size: 235KB)  PP. 1623-1630  
DOI: 10.4236/ajps.2019.109115    754 Downloads   1,596 Views  Citations

ABSTRACT

Based on RNA sequences using transcriptome analysis, 37 new simple sequence repeat (SSR) primer sets were developed for Perilla species. These new SSR markers were applied to analyze the genetic diversity among 15 accessions of Perilla species. A total of 182 alleles were confirmed in 37 loci, with an average of 4.9 alleles per locus and from 2 to 9 alleles per locus. The MAF (major allele frequency) per locus varied from 0.200 to 0.733, with an average of 0.463. The gene diversity (GD) ranged from 0.391 to 0.853, with an average of 0.670. The average polymorphic information content (PIC) was 0.624, ranging from 0.315 to 0.838. The new SSR markers of Perilla species reported in this study may provide potential markers to analyze the genetic diversity and genetic relationships of Perilla species. In addition, new Perilla SSR markers developed from transcriptome analysis can be useful for the identification of cultivars, conservation of Perilla germplasm resources, and genetic mapping and designating of important genes/QTLs for future Perilla crop breeding programs.

Share and Cite:

Sa, K. , Lim, S. , Choi, I. , Park, K. and Lee, J. (2019) Development and Characterization of New Microsatellite Markers for Perilla frutescens (L.) Britton. American Journal of Plant Sciences, 10, 1623-1630. doi: 10.4236/ajps.2019.109115.

Cited by

[1] Investigation of microsatellite loci for the identification of registered varieties of Perilla frutescens and a discussion on the ancestor species of P. frutescens
Journal of Natural Medicines, 2023
[2] Analysis of SSR loci information in transcriptome of sinopodophyllum hexandrum (royle) ying by RNA-SEQ
Pak. J. Bot, 2022
[3] Genetic Diversity Study on Geographical Populations of the Multipurpose Species Elsholtzia stauntonii Using Transferable Microsatellite Markers
Frontiers in Plant …, 2022
[4] Utilization of Novel Perilla SSR Markers to Assess the Genetic Diversity of Native Perilla Germplasm Accessions Collected from South Korea
Plants, 2022
[5] Genetic variation of seed oil characteristics in native Korean germplasm of Perilla crop (Perilla frutescens L.) using SSR markers
Genes & Genomics, 2022
[6] Identifying SSR markers related to seed fatty acid content in Perilla crop (Perilla frutescens L.)
2021
[7] Bulk segregant analysis identifies SSR markers associated with leaf-and seed-related traits in Perilla crop (Perilla frutescens L.)
2021
[8] Genetic variation and association mapping in the F2 population of the Perilla crop (Perilla frutescens L.) using new developed Perilla SSR markers
2021
[9] Genetic Variation of Native Perilla Germplasms Collected from South Korea Using Simple Sequence Repeat (SSR) Markers and Morphological Characteristics
2021
[10] Genetic Variation of Native Perilla Germplasms Collected from South Korea Using SSR Markers and Morphological Characteristics
2021
[11] Identifying SSR markers associated with seed characteristics in Perilla (Perilla frutescens L.)
2021
[12] Construction of a core collection of native Perilla germplasm collected from South Korea based on SSR markers and morphological characteristics
Scientific Reports, 2021
[13] Assessment of genetic diversity and population structure among a collection of Korean Perilla germplasms based on SSR markers
2020
[14] Genetic Variation of Common Millet (Panicum miliaceum L.) Collected from East Asia Based on Simple Sequence Repeats (SSRs)
2020

Copyright © 2024 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.