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

Resource Type: 
Publication
Publication Type: 
Journal Article
Additional Publication Type(s): 
Research Support, Non-U.S. Gov't
Title: 
Tissue-Specific Transcriptome Analysis Reveals Candidate Genes for Terpenoid and Phenylpropanoid Metabolism in the Medicinal Plant Ferula assafoetida.
Authors: 
Amini H, Naghavi MR, Shen T, Wang Y, Nasiri J, Khan IA, Fiehn O, Zerbe P, Maloof JN
Series Name: 
G3 (Bethesda, Md.)
Journal Abbreviation: 
G3 (Bethesda)
Volume: 
9
Issue: 
3
Page Numbers: 
807-816
Publication Year: 
2019
Publication Date: 
2019 03 07
DOI: 
10.1534/g3.118.200852
ISSN: 
2160-1836
EISSN: 
2160-1836
References: 
Cross Reference: 
NCBI NuccoreLoading content
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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.
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.

Publication Model: 
Electronic
Language: 
English
Language Abbr: 
eng
Journal Country: 
United States