Hao Tong, Zhao Lingxuan, Wu Dan, Wang Bin, Feng Xin, Wang Edwin, Sun Jinsheng
Tianjin Key Laboratory of Animal and Plant Resistance, College of Life Sciences, Tianjin Normal University, Tianjin, China.
Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.
Front Physiol. 2019 Feb 25;10:156. doi: 10.3389/fphys.2019.00156. eCollection 2019.
Protein-protein interaction networks (PINs) have been constructed in various organisms and utilized to conduct evolutionary analyses and functional predictions. is a high-valued commercial aquaculture species with an uncharacterized interactome. With the development of RNA-seq techniques and systems biology, it is possible to obtain genome-wide transcriptional information for and construct a systematic network based on these data. In this work, based on the RNA-seq of haemocytes we constructed the first PIN including 4,858 proteins and 104,187 interactions. The PIN constructed here is the first large-scale PIN for shrimp. The confidence scores of interactions in the PIN were evaluated on the basis of sequence homology and genetic relationships. The immune-specific sub-network was extracted from global PIN, and more than a third of proteins were found in signaling pathways in the sub-network, which indicates an inseparable relationship between signaling processes and immune mechanisms. Six selected signaling pathways were constructed at different age groups based on evolutionary analyses. Furthermore, we showed that the functions of the pathways' proteins were associated with their evolutionary history based on the evolutionary analyses combining with protein functional analyses. In addition, the functions of 1,955 unclassified proteins which were associated with 3,191 unigenes were assigned using the PIN, which account for approximately 70.3 and 44.9% of the previously unclassified proteins and unigenes in the network, respectively. The annotation of unclassified proteins and unigenes based on the PIN provides new candidates for further functional studies. The immune-specific sub-network and the pathways extracted from the PIN provide a novel information source for studying of immune mechanisms and disease resistances in shrimp.
蛋白质-蛋白质相互作用网络(PINs)已在多种生物体中构建,并用于进行进化分析和功能预测。[物种名称]是一种具有未知相互作用组的高价值商业养殖物种。随着RNA测序技术和系统生物学的发展,有可能获得[物种名称]的全基因组转录信息,并基于这些数据构建一个系统的网络。在这项工作中,基于血细胞的RNA测序,我们构建了第一个包含4858个蛋白质和104187个相互作用的[物种名称]PIN。这里构建的PIN是虾的第一个大规模PIN。PIN中相互作用的置信度得分是基于序列同源性和遗传关系进行评估的。从全局PIN中提取了免疫特异性子网,发现该子网中超过三分之一的蛋白质存在于信号通路中,这表明信号传导过程与免疫机制之间存在不可分割的关系。基于进化分析,在不同年龄组构建了六个选定的信号通路。此外,基于进化分析与蛋白质功能分析相结合,我们表明这些通路蛋白质的功能与其进化历史相关。此外,利用PIN对与3191个单基因相关的1955个未分类蛋白质的功能进行了注释,它们分别占网络中先前未分类蛋白质和未分类单基因的约70.3%和44.9%。基于PIN对未分类蛋白质和单基因的注释为进一步的功能研究提供了新的候选对象。从PIN中提取的免疫特异性子网和信号通路为研究虾的免疫机制和抗病性提供了新的信息来源。