4.8 Article

SEVA 3.0: an update of the Standard European Vector Architecture for enabling portability of genetic constructs among diverse bacterial hosts

期刊

NUCLEIC ACIDS RESEARCH
卷 48, 期 D1, 页码 D1164-D1170

出版社

OXFORD UNIV PRESS
DOI: 10.1093/nar/gkz1024

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资金

  1. SETH Project of the Spanish Ministry of Science [RTI 2018-095584-B-C42, H2020-FETOPEN-RIA-2017-1-766975, H2020-NMBPBIO-CSA-2018, H2020-NMBP/0500, H2020-EU.1.2.1-686585]
  2. Comunidad de Madrid (European Structural and Investment Funds) [S2017/BMD-3691]
  3. UK Engineering and Physical Science Research Council [S2017/BMD-3691, EP/R019002/1]
  4. Air Force Research Laboratory (AFRL)
  5. DARPA [FA875017CO184]
  6. H2020-NMBP-BIO-CSA-2018
  7. EPSRC [EP/R019002/1] Funding Source: UKRI

向作者/读者索取更多资源

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.

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