SEVA 2.0: an update of the Standard European Vector Architecture for de-/re-construction of bacterial functionalities.
Bottom Line: By adopting simple compositional rules, the SEVA standard facilitates combinations of functional DNA segments that ease both the analysis and the engineering of diverse Gram-negative bacteria for fundamental or biotechnological purposes.The large number of users of the SEVA-DB during its first two years of existence has resulted in a valuable feedback that we have exploited for fixing DNA sequence errors, improving the nomenclature of the SEVA plasmids, expanding the vector collection, adding new features to the web interface and encouraging contributions of materials from the community of users.The SEVA platform is also adopting the Synthetic Biology Open Language (SBOL) for electronic-like description of the constructs available in the collection and their interfacing with genetic devices developed by other Synthetic Biology communities.
Affiliation: Systems Biology Program, Centro Nacional de Biotecnología (CNB-CSIC), 28049 Cantoblanco-Madrid, Spain.Show MeSH
Mentions: Once faced with the general structure of the SEVA vectors (Figure 1), users can easily decide what is the best configuration of replication origin, antibiotic resistance and business segment (cargo) that serves better their specific purposes. The visual web interface has been reshaped to make it more intuitive and user-friendly, and it also contains more entries/tabs, the contents of which are explained below. The most salient changes or improvements of the SEVA-DB 2.0 in respect to its earlier form are examined in the following paragraphs. Any other features of the platform not explicitly indicated as a change can be safely considered to be identical to the first complete description of the system as published in (1). The web curators regularly update new acquisitions and information and, to the best of their abilities, aim at maintaining an interactive and dynamic platform in real time. Most clones are readily constructed and ready for release upon request.
Affiliation: Systems Biology Program, Centro Nacional de Biotecnología (CNB-CSIC), 28049 Cantoblanco-Madrid, Spain.