The Transcript Profile of a Traditional Chinese Medicine, Atractylodes lancea, Revealing Its Sesquiterpenoid Biosynthesis of the Major Active Components

小桶 苍术 转录组 萜类 生物 根茎 从头转录组组装 传统医学 UniProt公司 生物合成 菊科 Illumina染料测序 植物 基因 DNA测序 遗传学 中医药 医学 基因表达 替代医学 病理
作者
Shakeel Ahmed,Jie Luo,Yanyan Yang,Xuekui Wang,Tewu Yang,Ze-Ying Zhao,Qiyun Zhang,Xiaohua Li,Xuebo Hu
出处
期刊:PLOS ONE [Public Library of Science]
卷期号:11 (3): e0151975-e0151975 被引量:34
标识
DOI:10.1371/journal.pone.0151975
摘要

Atractylodes lancea (Thunb.) DC., named "Cangzhu" in China, which belongs to the Asteraceae family. In some countries of Southeast Asia (China, Thailand, Korea, Japan etc.) its rhizome, commonly called rhizoma atractylodis, is used to treat many diseases as it contains a variety of sesquiterpenoids and other components of medicinal importance. Despite its medicinal value, the information of the sesquiterpenoid biosynthesis is largely unknown. In this study, we investigated the transcriptome analysis of different tissues of non-model plant A. lancea by using short read sequencing technology (Illumina). We found 62,352 high quality unigenes with an average sequence length of 913 bp in the transcripts of A. Lancea. Among these, 43,049 (69.04%), 30,264 (48.53%), 26,233 (42.07%), 17,881 (28.67%) and 29,057(46.60%) unigenes showed significant similarity (E-value<1e-5) to known proteins in Nr, KEGG, SWISS-PROT, GO, and COG databases, respectively. Of the total 62,352 unigenes, 43,049 (Nr Database) open reading frames were predicted. On the basis of different bioinformatics tools we identify all the enzymes that take part in the terpenoid biosynthesis as well as five different known sesquiterpenoids via cytosolic mevalonic acid (MVA) pathway and plastidal methylerythritol phosphate (MEP) pathways. In our study, 6, 864 Simple Sequence Repeats (SSRs) were also found as great potential markers in A. lancea. This transcriptomic resource of A. lancea provides a great contribution in advancement of research for this specific medicinal plant and more specifically for the gene mining of different classes of terpenoids and other chemical compounds that have medicinal as well as economic importance.

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