Tissue-Specific Transcriptome Analysis Reveals Candidate Genes for Terpenoid and Phenylpropanoid Metabolism in the Medicinal Plant Ferula assafoetida.

Publication Dbxref
PMID:30679248
Title
Tissue-Specific Transcriptome Analysis Reveals Candidate Genes for Terpenoid and Phenylpropanoid Metabolism in the Medicinal Plant Ferula assafoetida.
Publication Type
Journal Article
Additional Publication Type(s)
Research Support, Non-U.S. Gov't
Series Name
G3 (Bethesda, Md.)
Volume
9
Publication Year
2019
Issue
3
Page Numbers
807-816
DOI
10.1534/g3.118.200852
Journal Abbreviation
G3 (Bethesda)
EISSN
2160-1836
Publication Date
2019 03 07
Citation
Amini H, Naghavi MR, Shen T, Wang Y, Nasiri J, Khan IA, Fiehn O, Zerbe P, Maloof JN. Tissue-Specific Transcriptome Analysis Reveals Candidate Genes for Terpenoid and Phenylpropanoid Metabolism in the Medicinal Plant Ferula assafoetida.. G3 (Bethesda, Md.). 2019 03 07; 9(3):807-816.
ISSN
2160-1836
Language Abbr
eng
Publication Model
Electronic
Authors
Amini H, Naghavi MR, Shen T, Wang Y, Nasiri J, Khan IA, Fiehn O, Zerbe P, Maloof JN
Language
English
Elocation
10.1534/g3.118.200852
Journal Country
United States
Abstract

Ferula assafoetida is a medicinal plant of the Apiaceae family that has traditionally been used for its therapeutic value. Particularly, terpenoid and phenylpropanoid metabolites, major components of the root-derived oleo-gum-resin, exhibit anti-inflammatory and cytotoxic activities, thus offering a resource for potential therapeutic lead compounds. However, genes and enzymes for terpenoid and coumarin-type phenylpropanoid metabolism have thus far remained uncharacterized in F. assafoetida Comparative de novo transcriptome analysis of roots, leaves, stems, and flowers was combined with computational annotation to identify candidate genes with probable roles in terpenoid and coumarin biosynthesis. Gene network analysis showed a high abundance of predicted terpenoid- and phenylpropanoid-metabolic pathway genes in flowers. These findings offer a deeper insight into natural product biosynthesis in F. assafoetida and provide genomic resources for exploiting the medicinal potential of this rare plant.

Data availability

All transcriptome data were submitted to the NCBI sequence read archive (SRA) with accession number (PRJNA476150) and Temporary Submission ID (SUB4158602). All R scripts for this paper are available at https://github.com/MaloofLab/Amini-G3-2019-Ferula_RNAseq_Analysis. Supplemental material available at Figshare: https://doi.org/10.25387/g3.7609223.

Database Reference Annotations
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