Peng Chong, Lin Yan, Luo Hao, Gao Feng
Department of Physics, School of Science, Tianjin University, Tianjin, China.
Key Laboratory of Systems Bioengineering (Ministry of Education), Tianjin University, Tianjin, China.
Front Microbiol. 2017 Nov 27;8:2331. doi: 10.3389/fmicb.2017.02331. eCollection 2017.
Genes critical for the survival or reproduction of an organism in certain circumstances are classified as essential genes. Essential genes play a significant role in deciphering the survival mechanism of life. They may be greatly applied to pharmaceutics and synthetic biology. The continuous progress of experimental method for essential gene identification has accelerated the accumulation of gene essentiality data which facilitates the study of essential genes . In this article, we present some available online resources related to gene essentiality, including bioinformatic software tools for transposon sequencing (Tn-seq) analysis, essential gene databases and online services to predict bacterial essential genes. We review several computational approaches that have been used to predict essential genes, and summarize the features used for gene essentiality prediction. In addition, we evaluate the available online bacterial essential gene prediction servers based on the experimentally validated essential gene sets of 30 bacteria from DEG. This article is intended to be a quick reference guide for the microbiologists interested in the essential genes.
在某些情况下,对生物体的生存或繁殖至关重要的基因被归类为必需基因。必需基因在解读生命的生存机制方面发挥着重要作用。它们在制药和合成生物学中可能会有广泛应用。必需基因鉴定实验方法的不断进步加速了基因必需性数据的积累,这有助于对必需基因的研究。在本文中,我们介绍了一些与基因必需性相关的在线可用资源,包括用于转座子测序(Tn-seq)分析的生物信息学软件工具、必需基因数据库以及预测细菌必需基因的在线服务。我们回顾了几种用于预测必需基因的计算方法,并总结了用于基因必需性预测的特征。此外,我们基于来自DEG的30种细菌的经实验验证的必需基因集,对现有的在线细菌必需基因预测服务器进行了评估。本文旨在为对必需基因感兴趣的微生物学家提供一份快速参考指南。