Department of Microbiology, The Ohio State University, Columbus, OH 43210, USA.
Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA 91125, USA.
Nucleic Acids Res. 2020 Jan 8;48(D1):D459-D464. doi: 10.1093/nar/gkz988.
Bacteria and archaea employ dedicated signal transduction systems that modulate gene expression, second-messenger turnover, quorum sensing, biofilm formation, motility, host-pathogen and beneficial interactions. The updated MiST database provides a comprehensive classification of microbial signal transduction systems. This update is a result of a substantial scaling to accommodate constantly growing microbial genomic data. More than 125 000 genomes, 516 million genes and almost 100 million unique protein sequences are currently stored in the database. For each bacterial and archaeal genome, MiST 3.0 provides a complete signal transduction profile, thus facilitating theoretical and experimental studies on signal transduction and gene regulation. New software infrastructure and distributed pipeline implemented in MiST 3.0 enable regular genome updates based on the NCBI RefSeq database. A novel MiST feature is the integration of unique profile HMMs to link complex chemosensory systems with corresponding chemoreceptors in bacterial and archaeal genomes. The data can be explored online or via RESTful API (freely available at https://mistdb.com).
细菌和古菌利用专门的信号转导系统来调节基因表达、第二信使代谢、群体感应、生物膜形成、运动性、宿主-病原体和有益相互作用。更新后的 MiST 数据库提供了微生物信号转导系统的全面分类。此次更新是为了适应不断增长的微生物基因组数据而进行的大量扩展的结果。目前,数据库中存储了超过 125000 个基因组、5.16 亿个基因和近 1 亿个独特的蛋白质序列。对于每个细菌和古菌基因组,MiST 3.0 提供了完整的信号转导谱,从而促进了信号转导和基因调控的理论和实验研究。MiST 3.0 中实现的新软件基础架构和分布式管道允许基于 NCBI RefSeq 数据库进行定期的基因组更新。MiST 的一个新功能是集成独特的概要 HMM,将复杂的化学感应系统与细菌和古菌基因组中的相应化学感受器联系起来。这些数据可以在线探索或通过 RESTful API(可在 https://mistdb.com 免费获取)访问。