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

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...

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Published in:Nucleic acids research 2023-01, Vol.51 (D1), p.D1558-D1567
Main Authors: Martínez-García, Esteban, Fraile, Sofía, Algar, Elena, Aparicio, Tomás, Velázquez, Elena, Calles, Belén, Tas, Huseyin, Blázquez, Blas, Martín, Bruno, Prieto, Clara, Sánchez-Sampedro, Lucas, Nørholm, Morten H H, Volke, Daniel C, Wirth, Nicolas T, Dvořák, Pavel, Alejaldre, Lorea, Grozinger, Lewis, Crowther, Matthew, Goñi-Moreno, Angel, Nikel, Pablo I, Nogales, Juan, de Lorenzo, Víctor
Format: Article
Language:English
Subjects:
Bacteria - genetics
Cloning, Molecular
Database Issue
Databases, Factual
DNA
Genetic Vectors
Phenotype
Plasmids - genetics
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Summary: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.
ISSN:0305-1048
1362-4962
1362-4962
DOI:10.1093/nar/gkac1059