[1]许瑞瑞.番茄抗病信号激素的芯片表达谱分析[J].北方园艺,2018,42(02):1-8.[doi:10.11937/bfyy.20173295]
　XU Ruirui.Microarray-based Analysis of Disease Resistance Signaling Hormones in Tomato[J].Northern Horticulture,2018,42(02):1-8.[doi:10.11937/bfyy.20173295]
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番茄抗病信号激素的芯片表达谱分析

《北方园艺》[ISSN:1001-0009/CN:23-1247/S] 卷: 第42卷 期数: 2018年02 页码: 1-8 栏目: 出版日期: 2018-01-25
Title:
Microarray-based Analysis of Disease Resistance Signaling Hormones in Tomato
作者:
许瑞瑞
潍坊学院 生物与农业工程学院，“十三五”山东省高校生物化学与分子生物学重点实验室，山东 潍坊 261061
Author(s):
XU Ruirui
College of Biological and Agricultural Engineering，Weifang University/The 13th Five Year Key Laboratory of Biochemistry and Molecular Biology in Universities of Shandong，Weifang，Shandong 261061
关键词:
番茄; 芯片分析; 激素; 抗病性：表达分析
Keywords:
tomato; microarray analysis; hormone; disease resistance; expression analysis
DOI:
10.11937/bfyy.20173295
文献标志码:
A
摘要:
以番茄为试材，采用Aglient芯片和实时荧光定量PCR技术，研究了乙烯、茉莉酸甲酯和水杨酸3种激素处理后番茄中差异表达明显基因尤其是抗病相关基因，以期为进一步研究抗病信号激素响应和信号通路之间的协同作用提供参考依据。结果表明：分别用ET、MeJA和SA处理番茄幼苗后，筛选确定2 261、8 302和9 479个差异表达基因。GO分析表明,差异表达基因多与激素和防御反应、发育过程、信号转导、蛋白质代谢途径相关。其中经3种激素处理后，检测分别有178和598个共同上调和下调的差异表达基因；其中481个是已知或预测功能的基因。通过实时荧光定量PCR技术验证了10个差异表达基因的表达情况，结果与芯片数据趋势一致。
Abstract:
Tomato was used as test material,the Aglient chips and real-time fluorescent quantitative PCR technology were used to identificate differentially expressed genes （DEGs),especially disease resistance genes,after classic innate immunity-associated plant hormones ethylene（ET),methyl jasmonate （MeJA),and salicylic acid （SA) treatment,in order to further study on disease resistance signal hormone response,and provide some references for the synergy between signaling pathways.The results showed that 2 261,8 302,and 9 479 DEGs were identified in tomato after treatment with ET,MeJA,or SA,respectively.Gene ontology analysis indicated that these DEGs were associated with hormone and defense responses,developmental processes,signal transduction and protein metabolism pathways.Among these DEGs,178 up-regulated common DEGs （Co-DEGs) and 598 down-regulated Co-DEGs were identified.Aside from unknown Co-DEGs,481 known or predicted Co-DEGs were categorized on the basis of their functions.In addition,the expression of 10 DEGs was assessed via quantitative real-time polymerase chain reaction,and the results generally agreed with the Agilent microarray data.

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备注/Memo

作者简介：许瑞瑞（1982-），女，博士，副教授，研究方向为植物逆境分子生物学与基因表达调控。E-mail：xuruirui2006@163.com.基金项目：国家自然科学基金资助项目（31400225）；潍坊市科技发展计划资助项目（2016GX016）。收稿日期：2017-09-30

更新日期/Last Update: 2018-01-26