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利用Illumina平台对山茱萸叶片和果实组织进行从头转录组分析。

De novo transcriptomic analysis of leaf and fruit tissue of Cornus officinalis using Illumina platform.

作者信息

Hou Dian-Yun, Shi Lin-Chun, Yang Meng-Meng, Li Jiong, Zhou Shuang, Zhang Hong-Xiao, Xu Hua-Wei

机构信息

Agricultural College, Henan University of Science and Technology, Luoyang, Henan Province, China.

The Luoyang Engineering Research Center of Breeding and Utilization of Dao-di Herbs, Luoyang, Henan Province, China.

出版信息

PLoS One. 2018 Feb 16;13(2):e0192610. doi: 10.1371/journal.pone.0192610. eCollection 2018.

Abstract

Cornus officinalis is one of the most widely used medicinal plants in China and other East Asian countries to cure diseases such as liver, kidney, cardiovascular diseases and frequent urination for thousands of years. It is a Level 3 protected species, and is one of the 42 national key protected wild species of animals and plants in China. However, the genetics and molecular biology of C. officinalis are poorly understood, which has hindered research on the molecular mechanism of its metabolism and utilization. Hence, enriching its genomic data and information is very important. In recent years, the fast-growing technology of next generation sequencing has provided an effective path to gain genomic information from nonmodel species. This study is the first to explore the leaf and fruit tissue transcriptome of C. officinalis using the Illumina HiSeq 4000 platform. A total of 57,954,134 and 60,971,652 clean reads from leaf and fruit were acquired, respectively (GenBank number SRP115440). The pooled reads from all two libraries were assembled into 56,392 unigenes with an average length 856 bp. Among these, 41,146 unigenes matched with sequences in the NCBI nonredundant protein database. The Gene Ontology database assigned 24,336 unigenes with biological process (83.26%), cellular components (53.58%), and molecular function (83.93%). In addition, 10,808 unigenes were assigned a KOG functional classification by the KOG database. Searching against the KEGG pathway database indicated that 18,435 unigenes were mapped to 371 KEGG pathways. Moreover, the edgeR database identified 4,585 significant differentially expressed genes (DEGs), of which 1,392 were up-regulated and 3,193 were down-regulated in fruit tissue compared with leaf tissue. Finally, we explored 581 transcription factors with 50 transcription factor gene families. Most DEGs and transcription factors were related to terpene biosynthesis and secondary metabolic regulation. This study not only represented the first de novo transcriptomic analysis of C. officinalis but also provided fundamental information on its genes and biosynthetic pathway. These findings will help us explore the molecular metabolism mechanism of terpene biosynthesis in C. officinalis.

摘要

山茱萸是中国和其他东亚国家数千年来最广泛用于治疗肝脏、肾脏、心血管疾病和尿频等疾病的药用植物之一。它是国家三级保护物种,也是中国42种国家重点保护野生动植物之一。然而,人们对山茱萸的遗传学和分子生物学了解甚少,这阻碍了对其代谢和利用分子机制的研究。因此,丰富其基因组数据和信息非常重要。近年来,快速发展的新一代测序技术为从非模式物种中获取基因组信息提供了一条有效途径。本研究首次使用Illumina HiSeq 4000平台探索山茱萸叶和果实组织的转录组。分别从叶和果实中获得了57,954,134和60,971,652条clean reads(GenBank编号SRP115440)。来自所有两个文库的合并reads被组装成56,392个单基因,平均长度为856 bp。其中,41,146个单基因与NCBI非冗余蛋白质数据库中的序列匹配。基因本体数据库为24,336个单基因分配了生物学过程(83.26%)、细胞成分(53.58%)和分子功能(83.93%)。此外,KOG数据库为10,808个单基因分配了KOG功能分类。与KEGG通路数据库进行比对表明,18,435个单基因被映射到371条KEGG通路。此外,edgeR数据库鉴定出4,585个显著差异表达基因(DEG),其中与叶组织相比,果实组织中有1,392个上调,3,

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/288c/5815590/7fdd7f9d6b0a/pone.0192610.g001.jpg

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