College of Chemistry Biology and Environment, Yuxi Normal University, Yuxi 653100, China.
Food and Bioengineering College, Xuchang University, Xuchang 461000, China.
Int J Mol Sci. 2019 Nov 29;20(23):6034. doi: 10.3390/ijms20236034.
Cardiovascular diseases (CVDs) are a major cause of health loss in the world. Prevention and treatment of this disease by traditional Chinese medicine is a promising method. Benth is a high-value medicinal herb in the prevention and treatment of CVDs; its main medicinal components include iridoid glycosides, phenylethanoid glycosides, and azafrin in roots. However, biosynthetic pathways of these components and their regulatory mechanisms are unknown. Furthermore, there are no genomic resources of this herb. In this article, we provide sequence and transcript abundance data for the root, stem, and leaf transcriptome of Benth obtained by the Illumina Hiseq2000. More than 438 million clean reads were obtained from root, stem, and leaf libraries, which produced 153,198 unigenes. Based on databases annotation, a total of 557, 213, and 161 unigenes were annotated to catalpol, acteoside, and azafrin biosynthetic pathways, respectively. Differentially expressed gene analysis identified 14,875 unigenes differentially enriched between leaf and root with 8,054 upregulated genes and 6,821 downregulated genes. Candidate MYB transcription factors involved in catalpol, acteoside, and azafrin biosynthesis were also predicated. This work is the first transcriptome analysis in Benth which will aid the deciphering of biosynthesis pathways and regulatory mechanisms of active components.
心血管疾病（CVDs）是世界范围内健康损失的主要原因。中医药在预防和治疗这种疾病方面是一种很有前途的方法。秦艽是预防和治疗 CVDs 的一种高价值药用植物；其主要药用成分包括环烯醚萜苷、苯乙醇苷和根中的azafrin。然而，这些成分的生物合成途径及其调控机制尚不清楚。此外，这种草药还没有基因组资源。在本文中，我们提供了通过 Illumina Hiseq2000 获得的秦艽根、茎和叶转录组的序列和转录丰度数据。从根、茎和叶文库中获得了超过 4.38 亿条清洁读取序列，产生了 153198 条 unigenes。基于数据库注释，共有 557213 和 161 个 unigenes分别被注释到梓醇、毛蕊花糖苷和azafrin 生物合成途径中。差异表达基因分析鉴定出叶片和根之间差异富集的 14875 个 unigenes，其中上调基因 8054 个，下调基因 6821 个。还预测了涉及梓醇、毛蕊花糖苷和azafrin 生物合成的候选 MYB 转录因子。这是秦艽转录组的首次分析，将有助于阐明活性成分的生物合成途径和调控机制。
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