Systems Biology Program, Centro Nacional de Biotecnología CSIC, Campus de la Universidad Autónoma de Madrid, 28049 Spain.
School of Computing, Newcastle University NE4 5TG, UK.
Nucleic Acids Res. 2020 Jan 8;48(D1):D1164-D1170. doi: 10.1093/nar/gkz1024.
The Standard European Vector Architecture 3.0 database (SEVA-DB 3.0, http://seva.cnb.csic.es) is the update of the platform launched in 2013 both as a web-based resource and as a material repository of formatted genetic tools (mostly plasmids) for analysis, construction and deployment of complex bacterial phenotypes. The period between the first version of SEVA-DB and the present time has witnessed several technical, computational and conceptual advances in genetic/genomic engineering of prokaryotes that have enabled upgrading of the utilities of the updated database. Novelties include not only a more user-friendly web interface and many more plasmid vectors, but also new links of the plasmids to advanced bioinformatic tools. These provide an intuitive visualization of the constructs at stake and a range of virtual manipulations of DNA segments that were not possible before. Finally, the list of canonical SEVA plasmids is available in machine-readable SBOL (Synthetic Biology Open Language) format. This ensures interoperability with other platforms and affords simulations of their behaviour under different in vivo conditions. We argue that the SEVA-DB will remain a useful resource for extending Synthetic Biology approaches towards non-standard bacterial species as well as genetically programming new prokaryotic chassis for a suite of fundamental and biotechnological endeavours.
标准欧洲向量架构 3.0 数据库(SEVA-DB 3.0,http://seva.cnb.csic.es)是 2013 年推出的平台的更新版本,既是一个基于网络的资源,也是格式化遗传工具(主要是质粒)的材料库,用于分析、构建和部署复杂的细菌表型。自 SEVA-DB 的第一个版本发布以来,这段时间见证了原核生物遗传/基因组工程在技术、计算和概念方面的一些进展,这些进展使得更新后的数据库的工具得到了升级。新功能不仅包括更用户友好的网络界面和更多的质粒载体,还包括质粒与先进生物信息学工具的新链接。这些工具提供了一个直观的可视化构建体,并提供了一系列以前不可能进行的 DNA 片段的虚拟操作。最后,标准 SEVA 质粒的列表以可机器读取的 SBOL(合成生物学开放语言)格式提供。这确保了与其他平台的互操作性,并允许在不同的体内条件下模拟它们的行为。我们认为,SEVA-DB 将继续成为扩展合成生物学方法以适应非标准细菌物种以及为一系列基础和生物技术工作遗传编程新型原核底盘的有用资源。