De novo transcriptome assembly of two microsorum fern species identifies enzymes required for two upstream pathways of phytoecdysteroids

  • Siriporn Sripinyowanich
  • , Eui Joon Kil
  • , Sahanat Petchsri
  • , Yeonhwa Jo
  • , Hoseong Choi
  • , Won Kyong Cho
  • , Sukchan Lee

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

Microsorum species produce a high amount of phytoecdysteroids (PEs), which are widely used in traditional medicine in the Pacific islands. The PEs in two different Microsorum species, M. punctatum (MP) and M. scolopendria (MS), were examined using high‐performance liquid chroma-tography (HPLC). In particular, MS produces a high amount of 20‐hydroxyecdysone, which is the main active compound in PEs. To identify genes for PE biosynthesis, we generated reference tran-scriptomes from sterile frond tissues using the NovaSeq 6000 system. De novo transcriptome assembly after deleting contaminants resulted in 57,252 and 54,618 clean transcripts for MP and MS, respectively. The clean Microsorum transcripts for each species were annotated according to gene ontology terms, UniProt pathways, and the clusters of the orthologous group protein database using the MEGAN6 and Sma3s programs. In total, 1852 and 1980 transcription factors were identified for MP and MS, respectively. We obtained transcripts encoding for 38 and 32 enzymes for MP and MS, respectively, potentially involved in mevalonate and sterol biosynthetic pathways, which produce precursors for PE biosynthesis. Phylogenetic analyses revealed many redundant and unique enzymes between the two species. Overall, this study provides two Microsorum reference transcrip-tomes that might be useful for further studies regarding PE biosynthesis in Microsorum species.

Original languageEnglish
Article number2085
Pages (from-to)1-22
Number of pages22
JournalInternational Journal of Molecular Sciences
Volume22
Issue number4
DOIs
StatePublished - 2 Feb 2021

Keywords

  • Fern
  • Microsorum
  • Phytoecdysteroids
  • RNA‐Seq
  • Transcriptome

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