利用RNA-seq技术对干旱胁迫下桑树从头转录组进行分析。

Bioorganicheskaia khimiia Pub Date : 2014-07-01
Heng Wang, Wei Tong, Li Feng, Qian Jiao, Li Long, Rongjun Fang, Weiguo Zhao
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引用次数: 0

摘要

对桑树(Morus L.)在正常胁迫和干旱胁迫条件下进行了大规模RNA测序(RNA-seq)。在本研究中,我们进行了从头组装,共从reads中获得了54736个contigs,包括支架区域。鉴定出1051个基因在两种样品中表达有显著差异。通过基因本体(Gene Ontology, GO)标注和京都基因与基因组百科全书(Kyoto Encyclopedia of Genes and Genomes)路径作图确定,共分配10110个GO术语和247条路径并进行分析。本研究产生的数千个SSR标记将为遗传连锁图谱的构建和基于基因的关联研究提供支持。随后,通过实时荧光定量PCR分析和鉴定了7个在对照和干旱胁迫组中表达水平不同的独特基因。在桑树全基因组信息缺乏的情况下,对两份样品的转录组和从头分析将为桑树的后续研究和遗传育种提供重要和有用的信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
De novo transcriptome analysis of mulberry (Morus L.) under drought stress using RNA-seq technology.

A large-scale RNA sequencing (RNA-seq) of mulberry (Morus L.) was carried out between two samples in regular and drought stress condition. In this research, de novo assembly was performed, and totally 54736 contigs were obtained from the reads, including the scaffolded regions. 1051 genes were identified that were significantly differently expressed between the two samples. As determined by Gene Ontology (GO) annotation and the Kyoto Encyclopedia of Genes and Genomes pathway mapping, 10110 GO terms and 247 pathways were assigned and then analyzed. Thousands of SSR markers produced in this study will enable genetic linkage mapping construction and gene-based association studies. Seven unique genes showing different expression level in control and drought stress groups were subsequently analyzed and identified by real-time PCR. For lack of mulberry whole genome information, transcriptome and de novo analysis from the two samples will provide important and useful information for later research and help genetic breeding of mulberry.

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