文献类型： 外文期刊

作者： Xu, Ran ¹ ; Ming, Yue ¹ ; Li, Yongchang ² ; Li, Shaoting ¹ ; Zhu, Wenjun ¹ ; Wang, Hongxun ¹ ; Guo, Jie ³ ; Shi, Zhaohua ⁴ ; Shu, Shaohua ⁵ ; Xiong, Chao ¹ ; Cheng, Xiang ¹ ; Wang, Limei ¹ ; You, Jingmao ³ ; Wan, Dingrong ⁶ ;

作者机构： 1.Wuhan Polytech Univ, Sch Life Sci & Technol, Wuhan 430023, Peoples R China

2.Kansas City Univ Med & Biosci, Coll Osteopath Med, Joplin, MO 64804 USA

3.Hubei Acad Agr Sci, Inst Chinese Herbal Med, Enshi 445000, Peoples R China

4.Hubei Univ Chinese Med, Key Lab Chinese Med Resources & Compound Formula, Minist Educ, Wuhan 430065, Peoples R China

5.Huazhong Agr Univ, Coll Plant Sci & Technol, Wuhan 430070, Peoples R China

6.South Cent Univ Nationalities, Sch Pharmaceut Sci, Wuhan 430074, Peoples R China

关键词： Artemisia argyi; SMRT sequencing; temporal transcriptome; gene expression patterns; terpenoid biosynthesis

期刊名称：MOLECULES （ 影响因子：4.927； 五年影响因子：5.11 ）

ISSN：

年卷期： 2022 年 27 卷 18 期

页码：

收录情况： SCI

摘要： Artemisiae argyi Folium is a traditional herbal medicine used for moxibustion heat therapy in China. The volatile oils in A. argyi leaves are closely related to its medicinal value. Records suggest that the levels of these terpenoids components within the leaves vary as a function of harvest time, with June being the optimal time for A. argyi harvesting, owing to the high levels of active ingredients during this month. However, the molecular mechanisms governing terpenoid biosynthesis and the time-dependent changes in this activity remain unclear. In this study, GC-MS analysis revealed that volatile oil levels varied across four different harvest months (April, May, June, and July) in A. argyi leaves, and the primarily terpenoids components (including both monoterpenes and sesquiterpenes) reached peak levels in early June. Through single-molecule real-time (SMRT) sequencing, corrected by Illumina RNA-sequencing (RNA-Seq), 44 full-length transcripts potentially involved in terpenoid biosynthesis were identified in this study. Differentially expressed genes (DEGs) exhibiting time-dependent expression patterns were divided into 12 coexpression clusters. Integrated chemical and transcriptomic analyses revealed distinct time-specific transcriptomic patterns associated with terpenoid biosynthesis. Subsequent hierarchical clustering and correlation analyses ultimately identified six transcripts that were closely linked to the production of these two types of terpenoid within A. argyi leaves, revealing that the structural diversity of terpenoid is related to the generation of the diverse terpene skeletons by prenyltransferase (TPS) family of enzymes. These findings can guide further studies of the molecular mechanisms underlying the quality of A. argyi leaves, aiding in the selection of optimal timing for harvests of A. argyi.