Genes (Sep 2017)

Isoform Sequencing Provides a More Comprehensive View of the Panax ginseng Transcriptome

  • Ick-Hyun Jo,
  • Jinsu Lee,
  • Chi Eun Hong,
  • Dong Jin Lee,
  • Wonsil Bae,
  • Sin-Gi Park,
  • Yong Ju Ahn,
  • Young Chang Kim,
  • Jang Uk Kim,
  • Jung Woo Lee,
  • Dong Yun Hyun,
  • Sung-Keun Rhee,
  • Chang Pyo Hong,
  • Kyong Hwan Bang,
  • Hojin Ryu

DOI
https://doi.org/10.3390/genes8090228
Journal volume & issue
Vol. 8, no. 9
p. 228

Abstract

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Korean ginseng (Panax ginseng C.A. Meyer) has been widely used for medicinal purposes and contains potent plant secondary metabolites, including ginsenosides. To obtain transcriptomic data that offers a more comprehensive view of functional genomics in P. ginseng, we generated genome-wide transcriptome data from four different P. ginseng tissues using PacBio isoform sequencing (Iso-Seq) technology. A total of 135,317 assembled transcripts were generated with an average length of 3.2 kb and high assembly completeness. Of those unigenes, 67.5% were predicted to be complete full-length (FL) open reading frames (ORFs) and exhibited a high gene annotation rate. Furthermore, we successfully identified unique full-length genes involved in triterpenoid saponin synthesis and plant hormonal signaling pathways, including auxin and cytokinin. Studies on the functional genomics of P. ginseng seedlings have confirmed the rapid upregulation of negative feed-back loops by auxin and cytokinin signaling cues. The conserved evolutionary mechanisms in the auxin and cytokinin canonical signaling pathways of P. ginseng are more complex than those in Arabidopsis thaliana. Our analysis also revealed a more detailed view of transcriptome-wide alternative isoforms for 88 genes. Finally, transposable elements (TEs) were also identified, suggesting transcriptional activity of TEs in P. ginseng. In conclusion, our results suggest that long-read, full-length or partial-unigene data with high-quality assemblies are invaluable resources as transcriptomic references in P. ginseng and can be used for comparative analyses in closely related medicinal plants.

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