SEVA 4.0: an update of the Standard European Vector Architecture database for advanced analysis and programming of bacterial phenotypes

  • Esteban Martínez-García
  • , Sofía Fraile
  • , Elena Algar
  • , Tomás Aparicio
  • , Elena Velázquez
  • , Belén Calles
  • , Huseyin Tas
  • , Blas Blázquez
  • , Bruno Martín
  • , Clara Prieto
  • , Lucas Sánchez-Sampedro
  • , Morten H. H. Nørholm
  • , Daniel C. Volke
  • , Nicolas T. Wirth
  • , Pavel Dvořák
  • , Lorea Alejaldre
  • , Lewis Grozinger
  • , Matthew Crowther
  • , Angel Goñi-Moreno
  • , Pablo I Nikel
  • Juan Nogales, Víctor de Lorenzo*
*Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review

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Abstract

The SEVA platform (https://seva-plasmids.com) was launched one decade ago, both as a database (DB) and as a physical repository of plasmid vectors for genetic analysis and engineering of Gram-negative bacteria with a structure and nomenclature that follows a strict, fixed architecture of functional DNA segments. While the current update keeps the basic features of earlier versions, the platform has been upgraded not only with many more ready-to-use plasmids but also with features that expand the range of target species, harmonize DNA assembly methods and enable new applications. In particular, SEVA 4.0 includes (i) a sub-collection of plasmids for easing the composition of multiple DNA segments with MoClo/Golden Gate technology, (ii) vectors for Gram-positive bacteria and yeast and [iii] off-the-shelf constructs with built-in functionalities. A growing collection of plasmids that capture part of the standard-but not its entirety-has been compiled also into the DB and repository as a separate corpus (SEVAsib) because of its value as a resource for constructing and deploying phenotypes of interest. Maintenance and curation of the DB were accompanied by dedicated diffusion and communication channels that make the SEVA platform a popular resource for genetic analyses, genome editing and bioengineering of a large number of microorganisms.
Original languageEnglish
JournalNucleic Acids Research
Volume51
Issue numberD1
Pages (from-to)D1558–D1567
ISSN0305-1048
DOIs
Publication statusPublished - 2023

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