摘要
目的在对结膜吸吮线虫基因组数据进行注释的基础上对其中分泌蛋白进行规模预测及分析。方法联合应用SignalP、TMHMM、MEME、Protcomp、big-PI Predictor和SecretomeP等多种生物信息学软件进行分析,完成了结膜吸吮线虫分泌蛋白组的预测,对其进行GO功能富集、KEGG通路分析、结构域统计以及具有抗原性分泌蛋白预测等分析。结果结膜吸吮线虫含有约259个分泌蛋白,其长度多集中在100-700aa;GO功能分析发现这些分泌蛋白多富集在分泌途径及宿主互作中;KEGG分析显示分泌蛋白在药物及谷胱甘肽代谢中发挥着重要作用;候选分泌蛋白的结构域分析发现存在最多为糖水解酶结构域;大规模筛选预测到126个分泌蛋白具有B细胞表位抗原性的功能。结论结膜吸吮线虫分泌蛋白多为小型蛋白,推测这些蛋白可能参与糖代谢、抗氧化活性,协助虫体的入侵及其在宿主体内的寄生。
We conducted prediction and analysis for secretory proteins fromThelazia 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.
出处
《中国人兽共患病学报》
CAS
CSCD
北大核心
2018年第1期12-17,22,共7页
Chinese Journal of Zoonoses
基金
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)
关键词
结膜吸吮线虫
分泌蛋白组
分泌蛋白
糖代谢
Thelazia callipaeda
secretome
secretory protein
sugar metabolism