Evidence map›Paper›PMID 31740968›Full record

ArticleNucleic acids research2020

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

Esteban Martínez-García, Angel Goñi-Moreno, Bryan Bartley, James McLaughlin, Lucas Sánchez-Sampedro, Héctor Pascual Del Pozo, Clara Prieto Hernández, Ada Serena Marletta, Davide De Lucrezia, Guzmán Sánchez-Fernández and 2 more

Erratum issuedAbstract read
In one paragraph

Article in Nucleic acids research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 49 papers.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

49 citing papers in PubMed.

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  8. Current Approaches for Genetic Manipulation ofBiotech (Basel (Switzerland)) · 2025
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  9. Advancements in Golden Gate Cloning: A Comprehensive Review.Methods in molecular biology (Clifton, N.J.) · 2025
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  13. Optimized De Novo Eriodictyol Biosynthesis inInternational journal of molecular sciences · 2023
    Article
  14. Cofunctioning of bacterial exometabolites drives root microbiota establishment.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  15. Article
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  18. Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

Esteban Martínez-GarcíaSystems Biology Program, Centro Nacional de Biotecnología CSIC, Campus de la Universidad Autónoma de Madrid, 28049 Spain.
Angel Goñi-MorenoSchool of Computing, Newcastle University NE4 5TG, UK.
Bryan BartleyRaytheon BBN Technologies, Arlington, VA 22209, USA.
James McLaughlinSchool of Computing, Newcastle University NE4 5TG, UK.
Lucas Sánchez-SampedroScienseed SL, 28020 Madrid, Spain.
Héctor Pascual Del PozoScienseed SL, 28020 Madrid, Spain.
Clara Prieto HernándezScienseed SL, 28020 Madrid, Spain.
Ada Serena MarlettaDoulix-Explora Srl, Via G. Peroni 386, 00131, Italy.
Davide De LucreziaDoulix-Explora Srl, Via G. Peroni 386, 00131, Italy.
Guzmán Sánchez-FernándezScienseed SL, 28020 Madrid, Spain.
Sofía FraileSystems Biology Program, Centro Nacional de Biotecnología CSIC, Campus de la Universidad Autónoma de Madrid, 28049 Spain.
Víctor de LorenzoSystems Biology Program, Centro Nacional de Biotecnología CSIC, Campus de la Universidad Autónoma de Madrid, 28049 Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Databases, GeneticGenetic EngineeringGenetic VectorsBacteriaCloning, MolecularComputational BiologyEuropeSoftwareWeb Browser

Identifiers

PMID31740968
PMCPMC7018797

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.