中国人兽共患病学报2018，Vol.34Issue(1)：12-17,22,7.DOI:10.3969/j.issn.1002-2694.2017.00.003
结膜吸吮线虫基因组中分泌蛋白的规模预测及分析
Prediction and analysis for secretory proteins from Thelazia callipaeda at Genome Scale
摘要
Abstract
We conducted prediction and analysis for secretory proteins from Thelazia callipaeda at Genome Scale based on the previous full genome annotation.The software SignalP,TMHMM,big-PI Predictor,MEME,Protcomp and SecretomeP were combined to process the prediction of the secretome of Thelazia callipaeda.The analyses of secretory proteins by GO function enrichment,KEGG pathway,and statistics of domains were performed.Results showed that totally 259 secretory proteins were found in Thelazia callipaeda genome and the amino acid lengths of secretory proteins were mainly concentrated between 100 to 700 aa exclusively.GO function analysis of secretory proteins indicated that they were enriched in the secreting pathways and in the interactions with host.The results of KEGG metabolism secretory proteins suggested that some of them contributed to drug metabolism and glutathione metabolism.And domain analysis suggested that most of them were glycoside hydrolase,contributing to sugar metabolism.Around 126 secretory proteins had antigenicity of B-cell epitope.In summary,we found that secretory proteins in Thelazia callipaeda were most small proteins,which were involved in sugar metabolism and antioxidative activity,facilitating Thelazia callipaeda to invade the hosts and play a key role in the parasitic course.关键词
结膜吸吮线虫/分泌蛋白组/分泌蛋白/糖代谢Key words
Thelazia callipaeda/secretome/secretory protein/sugar metabolism分类
医药卫生引用本文复制引用
郑明辉,叶昌林,张露菲,江楠,贺莉芳,刘晖..结膜吸吮线虫基因组中分泌蛋白的规模预测及分析[J].中国人兽共患病学报,2018,34(1):12-17,22,7.基金项目
Supported by the National Natural Science Foundation (No.81560336),the Project from the Guizhou Province Technology Hall (No.[2016]1168),and the Project from Innovation Team of the Guizhou Provincial Department of Education (No.[2014]39)国家自然科学基地区项目(81560336),贵州省科技厅基金(黔科合基础[2016]1168),贵州省教育厅创新团队(黔合教人才团队字[2014]39号) （No.81560336）
