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

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

Apa Reference Martínez-García, E., Fraile, S., Algar, E., Aparicio, T., Velázquez, E., Calles, B., Tas, H., Blázquez, B., Martín, B., Prieto, C., Sánchez-Sampedro, L., Nørholm, M.H.H., Volke, D.C., Wirth, N.T., Dvořák, P., Alejaldre, L., Grozinger, L., Crowther, M., Goñi-Moreno, A., Nikel, P.I., Nogales, J. & de Lorenzo, V. (2022). SEVA 4.0: an update of the Standard European Vector Architecture database for advanced analysis and programming of bacterial phenotypes. Nucleic Acids Research, 51(D1), D1558-D1567. 10.1093/nar/gkac1059
Doi 10.1093/nar/gkac1059
Publication Date 24 Nov 2022
Publication Type Article
Researcher Juan Nogales
Ontology Biological Databases, Synthetic biology, Genome editing (CRISPR)
Research Groups
Tools

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