SEVA 3.0: an update of the Standard European Vector Architecture for enabling portability of genetic constructs among diverse bacterial hosts

Abstract The Standard European Vector Architecture 3.0 database (SEVA-DB 3.0, http://seva.cnb.csic.es) is the update of the platform launched in 2013 both as a web-based resource and as a material repository of formatted genetic tools (mostly plasmids) for analysis, construction and deployment of complex bacterial phenotypes. The period between the first version of SEVA-DB and the present time has witnessed several technical, computational and conceptual advances in genetic/genomic engineering of prokaryotes that have enabled upgrading of the utilities of the updated database. Novelties include not only a more user-friendly web interface and many more plasmid vectors, but also new links of the plasmids to advanced bioinformatic tools. These provide an intuitive visualization of the constructs at stake and a range of virtual manipulations of DNA segments that were not possible before. Finally, the list of canonical SEVA plasmids is available in machine-readable SBOL (Synthetic Biology Open Language) format. This ensures interoperability with other platforms and affords simulations of their behaviour under different in vivo conditions. We argue that the SEVA-DB will remain a useful resource for extending Synthetic Biology approaches towards non-standard bacterial species as well as genetically programming new prokaryotic chassis for a suite of fundamental and biotechnological endeavours.

[1]  A. Becker,et al.  A Family of Single Copy repABC-Type Shuttle Vectors Stably Maintained in the Alpha-Proteobacterium Sinorhizobium meliloti , 2017, ACS synthetic biology.

[2]  Allan Kuchinsky,et al.  The Synthetic Biology Open Language (SBOL) provides a community standard for communicating designs in synthetic biology , 2014, Nature Biotechnology.

[3]  Zhen Zhang,et al.  iBioSim 3: A Tool for Model-Based Genetic Circuit Design. , 2018, ACS synthetic biology.

[4]  Chris J Myers,et al.  pySBOL: A Python Package for Genetic Design Automation and Standardization. , 2018, ACS synthetic biology.

[5]  Rafael Silva-Rocha,et al.  Synthetic and minimalist vectors for Agrobacterium tumefaciens-mediated transformation of fungi , 2019, Genetics and molecular biology.

[6]  Juhyun Kim,et al.  The Standard European Vector Architecture (SEVA): a coherent platform for the analysis and deployment of complex prokaryotic phenotypes , 2012, Nucleic Acids Res..

[7]  Morten H. H. Nørholm,et al.  Accurate DNA Assembly and Genome Engineering with Optimized Uracil Excision Cloning. , 2015, ACS synthetic biology.

[8]  D. Endy Foundations for engineering biology , 2005, Nature.

[9]  Bacillus SEVA siblings: A Golden Gate-based toolbox to create personalized integrative vectors for Bacillus subtilis , 2017, Scientific Reports.

[10]  V. de Lorenzo,et al.  New Transposon Tools Tailored for Metabolic Engineering of Gram-Negative Microbial Cell Factories , 2014, Front. Bioeng. Biotechnol..

[11]  Mario Juhas,et al.  High molecular weight DNA assembly in vivo for synthetic biology applications. , 2017, Critical reviews in biotechnology.

[12]  Maja Rennig,et al.  SEVA Linkers: A Versatile and Automatable DNA Backbone Exchange Standard for Synthetic Biology. , 2016, ACS synthetic biology.

[13]  Matthew R. Pocock,et al.  Synthetic Biology Open Language (SBOL) Version 2.3 , 2019, J. Integr. Bioinform..

[14]  Paul S Freemont,et al.  EcoFlex: A Multifunctional MoClo Kit for E. coli Synthetic Biology. , 2016, ACS synthetic biology.

[15]  Sylvestre Marillonnet,et al.  Fast track assembly of multigene constructs using Golden Gate cloning and the MoClo system. , 2012, Bioengineered bugs.

[16]  V. de Lorenzo,et al.  Biological standards for the Knowledge-Based BioEconomy: What is at stake. , 2018, New biotechnology.

[17]  Christopher E. French,et al.  Joint Universal Modular Plasmids (JUMP): A flexible and comprehensive platform for synthetic biology , 2019, bioRxiv.

[18]  Jacob Beal,et al.  A standard-enabled workflow for synthetic biology. , 2017, Biochemical Society transactions.

[19]  L. Ceze,et al.  Molecular digital data storage using DNA , 2019, Nature Reviews Genetics.

[20]  Paul Freemont,et al.  EcoFlex: A Multifunctional MoClo Kit for E. coli Synthetic Biology. , 2018, Methods in molecular biology.

[21]  D. Endy,et al.  Refinement and standardization of synthetic biological parts and devices , 2008, Nature Biotechnology.

[22]  Víctor de Lorenzo,et al.  SEVA 2.0: an update of the Standard European Vector Architecture for de-/re-construction of bacterial functionalities , 2014, Nucleic Acids Res..

[23]  Christopher A. Voigt,et al.  Genetic circuit design automation , 2016, Science.

[24]  James Alastair McLaughlin,et al.  SynBioHub: A Standards-Enabled Design Repository for Synthetic Biology. , 2018, ACS synthetic biology.

[25]  F. Bolivar,et al.  Plasmid vector pBR322 and its special-purpose derivatives--a review. , 1986, Gene.

[26]  Jacob Beal,et al.  Communicating Structure and Function in Synthetic Biology Diagrams. , 2019, ACS synthetic biology.

[27]  Christopher A. Voigt,et al.  Realizing the potential of synthetic biology , 2014, Nature Reviews Molecular Cell Biology.

[28]  Víctor de Lorenzo,et al.  The Standard European Vector Architecture (SEVA) plasmid toolkit. , 2014, Methods in molecular biology.

[29]  Martyn Amos,et al.  An implementation-focussed bio/algorithmic workflow for 1 synthetic biology 2 , 2016 .

[30]  Matthias Christen,et al.  Chemical synthesis rewriting of a bacterial genome to achieve design flexibility and biological functionality , 2019, Proceedings of the National Academy of Sciences.

[31]  Tom Ellis,et al.  BASIC: A Simple and Accurate Modular DNA Assembly Method. , 2017, Methods in molecular biology.

[32]  Barney A. Geddes,et al.  A Bacterial Expression Vector Archive (BEVA) for Flexible Modular Assembly of Golden Gate-Compatible Vectors , 2019, Front. Microbiol..