SEVA plasmids

Description

The Standard European Vector Architecture (SEVA) platform is a web-based resource and a material clone repository to assist the choice of optimal plasmid vectors for de-constructing and re-constructing complex prokaryotic phenotypes.

The SEVA database (SEVA-DB) is a resource for implementation of a standard for physical assembly of vector plasmids and for their non-ambiguous nomenclature as well as the index for a repository of functional sequences and actual constructs available to the community. The database was designed to simplify the choice of a given vector for the sake of specific applications, in such a way the user can easily decide the best configuration of replication origins, antibiotic resistance and business segments.

The SEVA-DB adopts simple design concepts imported from Systems Engineering into vector architecture and development to facilitate the swapping of functional modules and the extension genome engineering options to microorganisms beyond typical Laboratory strains. This platform has been implemented in the Molecular Environmental Microbiology Laboratory of the Centro Nacional de Biotecnología (CSIC).

The plasmids below are distributed free of charge to the academic community, provided that users cite the system’s most recent publication (see below) and include an acknowledgment.

Materials

pSEVA236    Plasmid map      Request

pSEVA256     Plasmid map      Request

pSEVA342     Plasmid map      Request

pSEVA212S     Plasmid map      Request

pSEVA2311     Plasmid map      Request

pSEVA2314     Plasmid map      Request

pSEVA2514     Plasmid map      Request

pSEVA512S     Plasmid map      Request

pSEVA2311M     Plasmid map      Request

pPS33     Plasmid map      Request

pPS4     Plasmid map      Request

pPS87     Plasmid map      Request

pPS90     Plasmid map      Request

pPS94     Plasmid map      Request

pPSIJ218     Plasmid map      Request

 

References

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, SEVA 4.0: an update of the Standard European Vector Architecture database for advanced analysis and programming of bacterial phenotypes, Nucleic Acids Research, Volume 51, Issue D1, 6 January 2023, Pages D1558–D1567, https://doi.org/10.1093/nar/gkac1059

Please cite the system’s most recent publication (see above) and include an acknowledgment.