Evolutionary Systems Biology of Symbionts, Institute for Integrative Systems Biology (I2SysBio), Universitat de València, Paterna, València, Spain.
Sequencing and Bioinformatics Service, Foundation for the Promotion of Sanitary and Biomedical Research of the Valencia Region (FISABIO), València, Spain.
Database (Oxford). 2020 Jan 1;2020. doi: 10.1093/database/baz160.
The Symbiotic Genomes Database (SymGenDB; http://symbiogenomesdb.uv.es/) is a public resource of manually curated associations between organisms involved in symbiotic relationships, maintaining a catalog of completely sequenced/finished bacterial genomes exclusively. It originally consisted of three modules where users could search for the bacteria involved in a specific symbiotic relationship, their genomes and their genes (including their orthologs). In this update, we present an additional module that includes a representation of the metabolic network of each organism included in the database, as Directed Acyclic Graphs (MetaDAGs). This module provides unique opportunities to explore the metabolism of each individual organism and/or to evaluate the shared and joint metabolic capabilities of the organisms of the same genera included in our listing, allowing users to construct predictive analyses of metabolic associations and complementation between systems. We also report a ~25% increase in manually curated content in the database, i.e. bacterial genomes and their associations, with a final count of 2328 bacterial genomes associated to 498 hosts. We describe new querying possibilities for all the modules, as well as new display features for the MetaDAGs module, providing a relevant range of content and utility. This update continues to improve SymGenDB and can help elucidate the mechanisms by which organisms depend on each other.
共生基因组数据库(SymGenDB;http://symbiogenomesdb.uv.es/)是一个手动整理的生物体之间共生关系的公共资源,专门维护一个完全测序/完成的细菌基因组目录。它最初由三个模块组成,用户可以在其中搜索特定共生关系中涉及的细菌、它们的基因组和基因(包括它们的直系同源物)。在本次更新中,我们增加了一个额外的模块,其中包括数据库中每个生物体的代谢网络表示,即有向无环图(MetaDAGs)。这个模块提供了独特的机会来探索每个生物体的代谢,以及评估我们列表中相同属的生物体之间的共享和共同代谢能力,允许用户构建代谢关联和系统之间互补的预测分析。我们还报告了数据库中人工整理内容的增加,即细菌基因组及其关联,最终有 2328 个细菌基因组与 498 个宿主相关联。我们描述了所有模块的新查询可能性,以及 MetaDAGs 模块的新显示功能,提供了相关的内容和功能。本次更新继续改进 SymGenDB,并有助于阐明生物体相互依赖的机制。