Evidence map›Paper›PMID 29074996›Full record

ArticleScientific reports2017

Bacillus SEVA siblings: A Golden Gate-based toolbox to create personalized integrative vectors for Bacillus subtilis.

Jara Radeck, Daniel Meyer, Nina Lautenschläger, Thorsten Mascher

Erratum issuedAbstract read
In one paragraph

Article in Scientific reports, 2017. 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 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. A modular toolkit for environmentalApplied and environmental microbiology · 2024
    Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Jara RadeckInstitute of Microbiology, Technische Universität (TU) Dresden, 01062, Dresden, Germany.ORCID http://orcid.org/0000-0003-3939-8901
Daniel MeyerDepartment of Biology I, Ludwig-Maximilians-Universität (LMU) München, 82152, Planegg-Martinsried, Germany.
Nina LautenschlägerInstitute of Microbiology, Technische Universität (TU) Dresden, 01062, Dresden, Germany.
Thorsten MascherInstitute of Microbiology, Technische Universität (TU) Dresden, 01062, Dresden, Germany. Thorsten.Mascher@tu-dresden.de.ORCID http://orcid.org/0000-0002-6300-5541

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bacillus subtilis combines natural competence for genetic transformation with highly efficient homologous recombination. These features allow using vectors that integrate into the genome via double homologous recombination. So far, their utilization is restricted by the fixed combination of resistance markers and integration loci, as well as species- or strain-specific regions of homology. To overcome these limitations, we developed a toolbox for the creation of personalized Bacillus vectors in a standardized manner with a focus on fast and easy adaptation of the sequences specifying the integration loci. We based our vector toolkit on the Standard European Vector Architecture (SEVA) to allow the usage of their vector parts. The Bacillus SEVA siblings are assembled via efficient one-pot Golden Gate reactions from four entry parts with the choice of four different enzymes. The toolbox contains seven Bacillus resistance markers, two Escherichia coli origins of replication, and a free choice of integration loci. Vectors can be customized with a cargo, before or after vector assembly, and could be used in different B. subtilis strains and potentially beyond. Our adaptation of the SEVA-standard provides a powerful and standardized toolkit for the convenient creation of personalized Bacillus vectors.

Indexed as

Bacillus subtilisGenetic EngineeringGenetic LociGenetic VectorsHomologous RecombinationPlasmidsTime Factors

Identifiers

PMID29074996
PMCPMC5658365

What OpenQuestion holds

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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.