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

Autor: Hajar Amini, Mohammad Reza Naghavi, Tong Shen, Yanhong Wang, Jaber Nasiri, Ikhlas A. Khan, Oliver Fiehn, Philipp Zerbe, Julin N. Maloof
Jazyk: angličtina
Rok vydání: 2019
Předmět:
Zdroj: G3: Genes, Genomes, Genetics, Vol 9, Iss 3, Pp 807-816 (2019)
Druh dokumentu: article
ISSN: 2160-1836
DOI: 10.1534/g3.118.200852
Popis: 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.
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