Transcriptome and Flower Color Related Gene Analysis in Angelica gigas Nakai Using RNA-Seq

RNA-seq을 이용한 참당귀의 전사체 분석과 꽃 색 관련 유전자 분석

  • Kim, Nam Su (Forest Medicinal Resources Research Center, National Institute of Forest Science) ;
  • Jung, Dae Hui (Forest Medicinal Resources Research Center, National Institute of Forest Science) ;
  • Park, Hong Woo (Forest Medicinal Resources Research Center, National Institute of Forest Science) ;
  • Park, Yun mi (Forest Medicinal Resources Research Center, National Institute of Forest Science) ;
  • Jeon, Kwon Seok (Forest Medicinal Resources Research Center, National Institute of Forest Science) ;
  • Kim, Mahn Jo (Forest Medicinal Resources Research Center, National Institute of Forest Science)
  • 김남수 (국립산림과학원 산림약용자원연구소) ;
  • 정대희 (국립산림과학원 산림약용자원연구소) ;
  • 박홍우 (국립산림과학원 산림약용자원연구소) ;
  • 박윤미 (국립산림과학원 산림약용자원연구소) ;
  • 전권석 (국립산림과학원 산림약용자원연구소) ;
  • 김만조 (국립산림과학원 산림약용자원연구소)
  • Published : 2019.10.18

Abstract

Angelica gigas Nakai (Korean danggui), a member of the Umbelliferae family, is a Korean traditional medicinal plant whose roots have been used for treating gynecological diseases. Transcriptomics is the study of the transcriptome, which is the complete set of RNA transcripts that are produced by the genome, using high-throughput methods, such as microarray analysis. In this study, transcriptome analysis of A.gigas Nakai was carried out. Transcriptome sequencing and assembly was carried out by using Illumina Hiseq 2500, Velvet and Oases. A total of 109,591,555 clean reads of A. gigas Nakai was obtained after trimming adaptors. The obtained reads were assembled with an average length of 1,154 bp, a maximum length of 13,166 bp, a minimum length of 200 pb, and N50 of 1,635 bp. Functional annotation and classification was performed using NCBI NR, InterprotScan, KOG, KEGG and GO. Candidate genes for phenylpropanoid biosynthesis were obtanied from A.gigas transcriptome and the genes and its proteins were confirmed through the NCBI homology BLAST searches, revealing high identity with other othologous genes and proteins from various plants pecies. In RNA sequencing analysis using an Illumina Next-Seq2500 sequencer, we identified a total 94,930 transcripts and annotated 71,281 transcripts, which provide basic information for further research in A.gigas Nakai. Our transcriptome data reveal that several differentially expressed genes related to flower color in A.gigas Nakai. The results of this research provide comprehensive information on the A.gigas Nakai genome and enhance our understanding of the flower color related gene pathways in this plant.

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