Informace o publikaci

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

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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

Rok publikování 2023
Druh Článek v odborném periodiku
Časopis / Zdroj Nucleic Acids Research
Fakulta / Pracoviště MU

Přírodovědecká fakulta

Citace
www https://academic.oup.com/nar/advance-article/doi/10.1093/nar/gkac1059/6845432
Doi http://dx.doi.org/10.1093/nar/gkac1059
Klíčová slova Plasmid; database; standardization; synthetic biology
Popis 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.
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