基于红火蚁转录组和蛋白质组的联合蛋白质毒素筛选

A combined protein toxin screening based on the transcriptome and proteome of Solenopsis invicta.

作者信息

Cai Liuyang, Yang Fengling, Wang Yongfang, Yang Jishun, Zhu Yina, Ma Xueqi, Höfer Juan, Wang Yichao, Ma Yajun, Xiao Liang

机构信息

Basic School of Medicine, Second Military Medical University (Naval Medical University), Shanghai, 200433, China.

College of Traditional Chinese Medicine, Jilin Agricultural University, Changchun, 130118, Jilin, China.

出版信息

Proteome Sci. 2022 Sep 21;20(1):15. doi: 10.1186/s12953-022-00197-z.

DOI:10.1186/s12953-022-00197-z

PMID:36131344

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9494847/

Abstract

BACKGROUND

Multi-omics technology provides a good tool to analyze the protein toxin composition and search for the potential pathogenic factors of Solenopsis invicta, under the great harm of the accelerated invasion in southern China.

METHODS

Species collection, functional annotation, toxin screening, and 3D modeling construction of three interested toxins were performed based on the successfully constructed transcriptome and proteome of S. invicta.

RESULTS

A total of 33,231 unigenes and 721 proteins were obtained from the constructed transcriptome and proteome, of which 9,842 (29.62%) and 4,844 (14.58%) unigenes, as well as 469 (65.05%) and 71 (99.45%) proteins were annotated against the databases of Gene Ontology and Kyoto Encyclopedia of Genes and Genomes, respectively. After comparing with the uniprot toxin database, a total of 316 unigenes and 47 proteins (calglandulin, venom allergen 3, and venom prothrombin activator hopsarin-D, etc.) were successfully screened.

CONCLUSIONS

The update of annotations at the transcriptome and proteome levels presents a progression in the comprehension of S. invicta in China. We also provide a protein toxin list that could be used for further exploration of toxicity as well as its antagonistic strategy by S. invicta.

摘要

背景

在中国南方，红火蚁加速入侵造成极大危害，多组学技术为分析红火蚁的蛋白质毒素组成及寻找潜在致病因素提供了良好工具。

方法

基于成功构建的红火蚁转录组和蛋白质组，进行物种收集、功能注释、毒素筛选以及三种感兴趣毒素的三维建模构建。

结果

从构建的转录组和蛋白质组中分别获得33231个单基因和721种蛋白质，其中分别有9842个（29.62%）和4844个（14.58%）单基因，以及469个（65.05%）和71个（99.45%）蛋白质在基因本体论数据库和京都基因与基因组百科全书数据库中得到注释。与通用蛋白质毒素数据库比对后，成功筛选出316个单基因和47种蛋白质（钙粒蛋白、毒液过敏原3、毒液凝血酶原激活物霍帕林-D等）。