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Development of genome-wide SSR markers from Angelica gigas nakai using next generation sequencing

  • Jinsu Gil
  • , Yurry Um
  • , Serim Kim
  • , Ok Tae Kim
  • , Sung Cheol Koo
  • , Chinreddy Subramanyam Reddy
  • , Seong Cheol Kim
  • , Chang Pyo Hong
  • , Sin Gi Park
  • , Ho Bang Kim
  • , Dong Hoon Lee
  • , Byung Hoon Jeong
  • , Jong Wook Chung
  • , Yi Lee*
  • *Corresponding author for this work
  • Chungbuk National University
  • National Institute of Forest Science
  • Rural Development Administration
  • Theragen Etex Bio Institute
  • Biomedic Co., Ltd.

Research output: Contribution to journalJournal articlepeer-review

Abstract

Angelica gigas Nakai is an important medicinal herb, widely utilized in Asian countries especially in Korea, Japan, and China. Although it is a vital medicinal herb, the lack of sequencing data and efficient molecular markers has limited the application of a genetic approach for horticultural improvements. Simple sequence repeats (SSRs) are universally accepted molecular markers for population structure study. In this study, we found over 130,000 SSRs, ranging from di- to deca-nucleotide motifs, using the genome sequence of Manchu variety (MV) of A. gigas, derived from next generation sequencing (NGS). From the putative SSR regions identified, a total of 16,496 primer sets were successfully designed. Among them, we selected 848 SSR markers that showed polymorphism from in silico analysis and contained tri- to hexa-nucleotide motifs. We tested 36 SSR primer sets for polymorphism in 16 A. gigas accessions. The average polymorphism information content (PIC) was 0.69; the average observed heterozygosity (HO) values, and the expected heterozygosity (HE) values were 0.53 and 0.73, respectively. These newly developed SSR markers would be useful tools for molecular genetics, genotype identification, genetic mapping, molecular breeding, and studying species relationships of the Angelica genus.

Original languageEnglish
Article number238
JournalGenes
Volume8
Issue number10
DOIs
StatePublished - 2017.10

Keywords

  • Angelica gigas Nakai
  • Next generation sequencing (NGS)
  • Simple sequence repeat (SSR)

Quacquarelli Symonds(QS) Subject Topics

  • Medicine
  • Biological Sciences

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