Hao Tong, Zeng Zheng, Wang Bin, Zhang Yichen, Liu Yichen, Geng Xuyun, Sun Jinsheng
Tianjin Key Laboratory of Animal and Plant Resistance/College of Life Science, Tianjin Normal University, Tianjin 300387, P,R, China.
BMC Syst Biol. 2014 Mar 27;8:39. doi: 10.1186/1752-0509-8-39.
The protein-protein interaction network (PIN) is an effective information tool for understanding the complex biological processes inside the cell and solving many biological problems such as signaling pathway identification and prediction of protein functions. Eriocheir sinensis is a highly-commercial aquaculture species with an unclear proteome background which hinders the construction and development of PIN for E. sinensis. However, in recent years, the development of next-generation deep-sequencing techniques makes it possible to get high throughput data of E. sinensis tanscriptome and subsequently obtain a systematic overview of the protein-protein interaction system.
In this work we sequenced the transcriptional RNA of eyestalk, Y-organ and hepatopancreas in E. sinensis and generated a PIN of E. sinensis which included 3,223 proteins and 35,787 interactions. Each protein-protein interaction in the network was scored according to the homology and genetic relationship. The signaling sub-network, representing the signal transduction pathways in E. sinensis, was extracted from the global network, which depicted a global view of the signaling systems in E. sinensis. Seven basic signal transduction pathways were identified in E. sinensis. By investigating the evolution paths of the seven pathways, we found that these pathways got mature in different evolutionary stages. Moreover, the functions of unclassified proteins and unigenes in the PIN of E. sinensis were predicted. Specifically, the functions of 549 unclassified proteins related to 864 unclassified unigenes were assigned, which respectively covered 76% and 73% of all the unclassified proteins and unigenes in the network.
The PIN generated in this work is the first large-scale PIN of aquatic crustacean, thereby providing a paradigmatic blueprint of the aquatic crustacean interactome. Signaling sub-network extracted from the global PIN depicts the interaction of different signaling proteins and the evolutionary paths of the identified signal transduction pathways. Furthermore, the function assignment of unclassified proteins based on the PIN offers a new reference in protein function exploration. More importantly, the construction of the E. sinensis PIN provides necessary experience for the exploration of PINs in other aquatic crustacean species.
蛋白质-蛋白质相互作用网络(PIN)是一种有效的信息工具,用于理解细胞内复杂的生物学过程,并解决许多生物学问题,如信号通路识别和蛋白质功能预测。中华绒螯蟹是一种具有重要商业价值的水产养殖品种,但其蛋白质组背景尚不明确,这阻碍了中华绒螯蟹PIN的构建和发展。然而,近年来,新一代深度测序技术的发展使得获取中华绒螯蟹转录组的高通量数据并进而获得蛋白质-蛋白质相互作用系统的系统概述成为可能。
在本研究中,我们对中华绒螯蟹的眼柄、Y器官和肝胰腺的转录RNA进行了测序,并生成了一个包含3223个蛋白质和35787个相互作用的中华绒螯蟹PIN。网络中的每个蛋白质-蛋白质相互作用都根据同源性和遗传关系进行了评分。从全局网络中提取了代表中华绒螯蟹信号转导途径的信号子网,描绘了中华绒螯蟹信号系统的全局视图。在中华绒螯蟹中鉴定出了七种基本信号转导途径。通过研究这七条途径的进化路径,我们发现这些途径在不同的进化阶段成熟。此外,还预测了中华绒螯蟹PIN中未分类蛋白质和单基因的功能。具体而言,为与864个未分类单基因相关的549个未分类蛋白质分配了功能,分别覆盖了网络中所有未分类蛋白质和未分类单基因的76%和73%。
本研究中生成的PIN是首个大规模的水生甲壳类动物PIN,从而提供了水生甲壳类动物相互作用组的范例蓝图。从全局PIN中提取的信号子网描绘了不同信号蛋白的相互作用以及所鉴定信号转导途径的进化路径。此外,基于PIN对未分类蛋白质的功能分配为蛋白质功能探索提供了新的参考。更重要的是,中华绒螯蟹PIN的构建为探索其他水生甲壳类动物物种的PIN提供了必要的经验。