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叶片脱水反应的转录组网络分析在三种耐旱性不同的葡萄品种中鉴定出高度关联的脱落酸和乙烯信号枢纽。

Transcriptomic network analyses of leaf dehydration responses identify highly connected ABA and ethylene signaling hubs in three grapevine species differing in drought tolerance.

作者信息

Hopper Daniel W, Ghan Ryan, Schlauch Karen A, Cramer Grant R

机构信息

Department of Biochemistry and Molecular Biology, University of Nevada, Reno, NV, 89557, USA.

出版信息

BMC Plant Biol. 2016 May 23;16(1):118. doi: 10.1186/s12870-016-0804-6.

Abstract

BACKGROUND

Grapevine is a major food crop that is affected by global climate change. Consistent with field studies, dehydration assays of grapevine leaves can reveal valuable information of the plant's response at physiological, transcript, and protein levels. There are well-known differences in grapevine rootstocks responses to dehydration. We used time-series transcriptomic approaches combined with network analyses to elucidate and identify important physiological processes and network hubs that responded to dehydration in three different grapevine species differing in their drought tolerance.

RESULTS

Transcriptomic analyses of the leaves of Cabernet Sauvignon, Riparia Gloire, and Ramsey were evaluated at different times during a 24-h controlled dehydration. Analysis of variance (ANOVA) revealed that approximately 11,000 transcripts changed significantly with respect to the genotype x treatment interaction term and approximately 6000 transcripts changed significantly according to the genotype x treatment x time interaction term indicating massive differential changes in gene expression over time. Standard analyses determined substantial effects on the transcript abundance of genes involved in the metabolism and signaling of two known plant stress hormones, abscisic acid (ABA) and ethylene. ABA and ethylene signaling maps were constructed and revealed specific changes in transcript abundance that were associated with the known drought tolerance of the genotypes including genes such as VviABI5, VviABF2, VviACS2, and VviWRKY22. Weighted-gene coexpression network analysis (WGCNA) confirmed these results. In particular, WGCNA identified 30 different modules, some of which had highly enriched gene ontology (GO) categories for photosynthesis, phenylpropanoid metabolism, ABA and ethylene signaling. The ABA signaling transcription factors, VviABI5 and VviABF2, were highly connected hubs in two modules, one being enriched in gaseous transport and the other in ethylene signaling. VviABI5 was distinctly correlated with an early response and high expression for the drought tolerant Ramsey and with little response from the drought sensitive Riparia Gloire. These ABA signaling transcription factors were highly connected to VviSnRK1 and other gene hubs associated with sugar, ethylene and ABA signaling.

CONCLUSION

A leaf dehydration assay provided transcriptomic evidence for differential leaf responses to dehydration between genotypes differing in their drought tolerance. WGCNA proved to be a powerful network analysis approach; it identified 30 distinct modules (networks) with highly enriched GO categories and enabled the identification of gene hubs in these modules. Some of these genes were highly connected hubs in both the ABA and ethylene signaling pathways, supporting the hypothesis that there is substantial crosstalk between the two hormone pathways. This study identifies solid gene candidates for future investigations of drought tolerance in grapevine.

摘要

背景

葡萄是一种受全球气候变化影响的主要粮食作物。与田间研究一致,葡萄叶片的脱水试验可以揭示植物在生理、转录和蛋白质水平上的响应的有价值信息。葡萄砧木对脱水的反应存在众所周知的差异。我们使用时间序列转录组学方法结合网络分析,以阐明和识别在耐旱性不同的三种不同葡萄品种中对脱水作出反应的重要生理过程和网络枢纽。

结果

在24小时的控制脱水过程中的不同时间对赤霞珠、河岸光辉和拉姆齐的叶片进行了转录组分析。方差分析(ANOVA)显示,约11000个转录本相对于基因型×处理交互项有显著变化,约6000个转录本根据基因型×处理×时间交互项有显著变化,表明基因表达随时间有大量差异变化。标准分析确定了对参与两种已知植物应激激素脱落酸(ABA)和乙烯的代谢和信号传导的基因的转录本丰度有实质性影响。构建了ABA和乙烯信号图谱,揭示了转录本丰度的特定变化,这些变化与基因型的已知耐旱性相关,包括VviABI5、VviABF2、VviACS2和VviWRKY22等基因。加权基因共表达网络分析(WGCNA)证实了这些结果。特别是,WGCNA识别出30个不同的模块,其中一些模块具有高度富集的光合作用、苯丙烷代谢、ABA和乙烯信号传导的基因本体(GO)类别。ABA信号转录因子VviABI5和VviABF2是两个模块中的高度连接枢纽,一个模块富集气体运输,另一个模块富集乙烯信号传导。VviABI5与耐旱的拉姆齐的早期反应和高表达明显相关,而对干旱敏感的河岸光辉几乎没有反应。这些ABA信号转录因子与VviSnRK1以及与糖、乙烯和ABA信号传导相关的其他基因枢纽高度连接。

结论

叶片脱水试验为耐旱性不同的基因型之间叶片对脱水的差异反应提供了转录组学证据。WGCNA被证明是一种强大的网络分析方法;它识别出30个具有高度富集的GO类别的不同模块(网络),并能够识别这些模块中的基因枢纽。其中一些基因是ABA和乙烯信号通路中的高度连接枢纽,支持了两种激素通路之间存在大量相互作用的假设。本研究为未来葡萄耐旱性研究确定了可靠的基因候选者。

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