Hou Jiexi, Zhang Jie, Zhang Beihong, Jin Xiaofang, Zhang Haiyan, Jin Zhinong
Jiangxi Provincial Engineering Research Center for Seed-Breeding and Utilization of Camphor Trees, The School of Hydraulic and Ecological Engineering, Nanchang Institute of Technology, Nanchang, China.
Key Laboratory of Silviculture, Co-Innovation Center of Jiangxi Typical Trees Cultivation and Utilization, College of Forestry, Jiangxi Agricultural University, Nanchang, China.
Front Genet. 2020 Nov 12;11:598714. doi: 10.3389/fgene.2020.598714. eCollection 2020.
The roots, bark, and leaves of are rich in essential oils, which mainly comprised monoterpenes and sesquiterpenes. Although the essential oils obtained from have been widely used in pharmaceutical, medicinal, perfume, and food industries, the molecular mechanisms underlying terpenoid biosynthesis are poorly understood. To address this lack of knowledge, we performed transcriptome analysis to investigate the key regulatory genes involved in terpenoid biosynthesis in . High-oil-yield trees of linalool type and low-oil-yield trees were used to assemble a transcriptome of . A total of 121,285 unigenes were assembled, and the total length, average length, N50, and GC content of unigenes were 87,869,987, 724, 1,063, and 41.1%, respectively. Comparison of the transcriptome profiles of linalool-type with trees of low oil yield resulted in a total of 3,689 differentially expressed unigenes, among them 31 candidate genes had annotations associated with metabolism of terpenoids and polyketides, including four in the monoterpenoid biosynthesis pathway and three in the terpenoid backbone biosynthesis pathway. Collectively, this genome-wide transcriptome provides a valuable tool for future identification of genes related to essential oil biosynthesis. Additionally, the identification of a cohort of genes in the biosynthetic pathways of terpenoids provides a theoretical basis for metabolic engineering of essential oils in .
[植物名称]的根、树皮和叶子富含精油，主要由单萜和倍半萜组成。尽管从[植物名称]中提取的精油已广泛应用于制药、医药、香水和食品工业，但萜类生物合成的分子机制仍知之甚少。为了解决这一知识空白，我们进行了转录组分析，以研究参与[植物名称]萜类生物合成的关键调控基因。使用芳樟醇型高油产量树和低油产量树组装了[植物名称]的转录组。共组装了121,285个单基因，单基因的总长度、平均长度、N50和GC含量分别为87,869,987、724、1,063和41.1%。比较芳樟醇型[植物名称]与低油产量树的转录组图谱，共得到3,689个差异表达的单基因，其中31个候选基因具有与萜类和聚酮化合物代谢相关的注释，包括单萜生物合成途径中的4个和萜类骨架生物合成途径中的3个。总体而言，这个全基因组转录组为未来鉴定与精油生物合成相关的基因提供了有价值的工具。此外，萜类生物合成途径中一组基因的鉴定为[植物名称]精油的代谢工程提供了理论基础。
