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大麻（Cannabis sativa L.）对干旱胁迫响应的全基因组表达谱

Genome-Wide Expression Profiles of Hemp ( L.) in Response to Drought Stress.

作者信息

Gao Chunsheng, Cheng Chaohua, Zhao Lining, Yu Yongting, Tang Qing, Xin Pengfei, Liu Touming, Yan Zhun, Guo Yuan, Zang Gonggu

机构信息

Institute of Bast Fiber Crops, Chinese Academy of Agricultural Sciences/Key Laboratory of the Biology and Process of Bast Fiber Crops, Ministry of Agriculture, Changsha 410205, China.

出版信息

Int J Genomics. 2018 May 15;2018:3057272. doi: 10.1155/2018/3057272. eCollection 2018.

DOI:10.1155/2018/3057272
PMID:29862250
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5976996/
Abstract

Drought is the main environmental factor impairing hemp growth and yield. In order to decipher the molecular responses of hemp to drought stress, transcriptome changes of drought-stressed hemp (DS1 and DS2), compared to well-watered control hemp (CK1 and CK2), were studied with RNA-Seq technology. RNA-Seq generated 9.83, 11.30, 11.66, and 11.31 M clean reads in the CK1, CK2, DS1, and DS2 libraries, respectively. A total of 1292 differentially expressed genes (DEGs), including 409 (31.66%) upregulated and 883 (68.34%) downregulated genes, were identified. The expression patterns of 12 selected genes were validated by qRT-PCR, and the results were accordant with Illumina analysis. Gene Ontology (GO) and KEGG analysis illuminated particular important biological processes and pathways, which enriched many candidate genes such as NAC, B3, peroxidase, expansin, and inositol oxygenase that may play important roles in hemp tolerance to drought. Eleven KEGG pathways were significantly influenced, the most influenced being the plant hormone signal transduction pathway with 15 differentially expressed genes. A similar expression pattern of genes involved in the abscisic acid (ABA) pathway under drought, and ABA induction, suggested that ABA is important in the drought stress response of hemp. These findings provide useful insights into the drought stress regulatory mechanism in hemp.

摘要

干旱是影响大麻生长和产量的主要环境因素。为了解析大麻对干旱胁迫的分子响应，利用RNA-Seq技术研究了干旱胁迫大麻（DS1和DS2）与水分充足的对照大麻（CK1和CK2）相比的转录组变化。RNA-Seq在CK1、CK2、DS1和DS2文库中分别产生了9.83、11.30、11.66和11.31百万条clean reads。共鉴定出1292个差异表达基因（DEG），其中包括409个（31.66%）上调基因和883个（68.34%）下调基因。通过qRT-PCR验证了12个选定基因的表达模式，结果与Illumina分析一致。基因本体论（GO）和KEGG分析揭示了特别重要的生物学过程和途径，这些过程和途径富集了许多可能在大麻耐旱性中起重要作用的候选基因，如NAC、B3、过氧化物酶、扩张蛋白和肌醇加氧酶。11条KEGG途径受到显著影响，受影响最大的是植物激素信号转导途径，有15个差异表达基因。干旱条件下参与脱落酸（ABA）途径的基因以及ABA诱导具有相似的表达模式，这表明ABA在大麻干旱胁迫响应中很重要。这些发现为大麻干旱胁迫调控机制提供了有用的见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c05/5976996/badb84724f82/IJG2018-3057272.007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c05/5976996/41a272320371/IJG2018-3057272.001.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c05/5976996/2b7c9e45b456/IJG2018-3057272.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c05/5976996/46086e4c04d1/IJG2018-3057272.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c05/5976996/d88cb0aed3da/IJG2018-3057272.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c05/5976996/16588bc63402/IJG2018-3057272.006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c05/5976996/badb84724f82/IJG2018-3057272.007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c05/5976996/41a272320371/IJG2018-3057272.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c05/5976996/8b56ec7fe50b/IJG2018-3057272.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c05/5976996/2b7c9e45b456/IJG2018-3057272.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c05/5976996/46086e4c04d1/IJG2018-3057272.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c05/5976996/d88cb0aed3da/IJG2018-3057272.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c05/5976996/16588bc63402/IJG2018-3057272.006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c05/5976996/badb84724f82/IJG2018-3057272.007.jpg

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