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

Investor logo

Warning

This publication doesn't include Faculty of Arts. It includes Faculty of Science. Official publication website can be found on muni.cz.
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 NORHOLM Morten H H VOLKE Daniel C WIRTH Nicolas T DVOŘÁK Pavel ALEJALDRE Lorea GROZINGER Lewis CROWTHER Matthew GONI-MORENO Angel NIKEL Pablo I NOGALES Juan DE LORENZO Víctor

Year of publication 2023
Type Article in Periodical
Magazine / Source Nucleic Acids Research
MU Faculty or unit

Faculty of Science

Citation
Web https://academic.oup.com/nar/advance-article/doi/10.1093/nar/gkac1059/6845432
Doi http://dx.doi.org/10.1093/nar/gkac1059
Keywords Plasmid; database; standardization; synthetic biology
Description 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.
Related projects:

You are running an old browser version. We recommend updating your browser to its latest version.