Transcriptional evidence for inferred pattern of pollen tube-stigma metabolic coupling during pollination.
Transcriptional evidence for inferred pattern of pollen tube-stigma metabolic coupling during pollination.
复制标题
授粉期间花粉管-柱头代谢耦合推断模式的转录证据
DOI：
10.1371/journal.pone.0107046
复制
发表时间：
2014
期刊：
影响因子：
3.7
通讯作者：
Zhang XS
中科院分区：
文献类型：
--
作者：
Yue X;Gao XQ;Wang F;Dong Y;Li X;Zhang XS
由于现有技术的灵敏度有限，很难获得授粉过程中雄性（花粉管）和雌性（雌蕊）生殖组织中所有定性蛋白质组学和代谢组学实验数据。本研究从全局的角度分析植物（拟南芥/玉米）的酶和代谢途径，构建基因组尺度的酶相关网络模型。然后，我们开发了一个数据驱动的计算管道，使用“内疚的协会”的原则，分析酶基因的转录共表达谱在连续的步骤中的快速增长的花粉管和柱头授粉过程中的代谢途径。分析确定了一个推断模式的花粉管柱头乙醇耦合。当花粉管在雌蕊的传递组织（TT）中伸长时，这种伸长触发了雌蕊TT细胞中糖酵解的能量动员。富含能量的代谢物（乙醇）被分泌出来，可以被花粉管吸收，在那里这些代谢物被纳入花粉管的三羧酸（TCA）循环，这导致ATP的产生增加，以促进花粉管生长。此外，我们的分析还为山奈酚、dTDP-α-L-鼠李糖和细胞壁相关蛋白、磷脂酸介导的Ca 2+振荡和细胞骨架以及谷氨酸降解IV协同激活拟南芥和玉米柱头中的γ-氨基丁酸（GABA）信号提供了证据。特别是，本研究开发的“关联致罪”计算管道和基因组规模的酶相关网络模型（GECN）是以实验“组学”数据为基础，通过数据分析和数据整合来确定相关性的，可以提供一个新的平台，帮助更深入地理解植物研究中的共调节和互调节模型。
It is difficult to derive all qualitative proteomic and metabolomic experimental data in male (pollen tube) and female (pistil) reproductive tissues during pollination because of the limited sensitivity of current technology. In this study, genome-scale enzyme correlation network models for plants (Arabidopsis/maize) were constructed by analyzing the enzymes and metabolic routes from a global perspective. Then, we developed a data-driven computational pipeline using the “guilt by association” principle to analyze the transcriptional coexpression profiles of enzymatic genes in the consecutive steps for metabolic routes in the fast-growing pollen tube and stigma during pollination. The analysis identified an inferred pattern of pollen tube-stigma ethanol coupling. When the pollen tube elongates in the transmitting tissue (TT) of the pistil, this elongation triggers the mobilization of energy from glycolysis in the TT cells of the pistil. Energy-rich metabolites (ethanol) are secreted that can be taken up by the pollen tube, where these metabolites are incorporated into the pollen tube's tricarboxylic acid (TCA) cycle, which leads to enhanced ATP production for facilitating pollen tube growth. In addition, our analysis also provided evidence for the cooperation of kaempferol, dTDP-alpha-L-rhamnose and cell-wall-related proteins; phosphatidic-acid-mediated Ca2+ oscillations and cytoskeleton; and glutamate degradation IV for γ-aminobutyric acid (GABA) signaling activation in Arabidopsis and maize stigmas to provide the signals and materials required for pollen tube tip growth. In particular, the “guilt by association” computational pipeline and the genome-scale enzyme correlation network models (GECN) developed in this study was initiated with experimental “omics” data, followed by data analysis and data integration to determine correlations, and could provide a new platform to assist inachieving a deeper understanding of the co-regulation and inter-regulation model in plant research.
登录
查看更多内容
影响因子：
11.6
作者：
Diet, Anouck;Link, Bruce;Ringli, Christoph
通讯作者：
Ringli, Christoph
影响因子：
11.6
作者：
Gass, N;Glagotskaia, T;Kuhlemeier, C
通讯作者：
Kuhlemeier, C
影响因子：
5.8
作者：
Jensen, Paul A.;Papin, Jason A.
通讯作者：
Papin, Jason A.
影响因子：
7.4
作者：
Dal'Molin, Cristiana Gomes de Oliveira;Quek, Lake-Ee;Nielsen, Lars Keld
通讯作者：
Nielsen, Lars Keld
影响因子：
6.1
作者：
Kerhoas, Lucien;Aouak, Denya;Birlirakis, Nicolas
通讯作者：
Birlirakis, Nicolas