Evidence map›Paper›PMID 29323285›Full record

ArticleScientific reports2018

A set of synthetic versatile genetic control elements for the efficient expression of genes in Actinobacteria.

Lilya Horbal, Theresa Siegl, Andriy Luzhetskyy

Abstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

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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

24 citing papers in PubMed.

  1. Article
  2. Review
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  8. Optimized De Novo Eriodictyol Biosynthesis inInternational journal of molecular sciences · 2023
    Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Reconstruction of Secondary Metabolic Pathway to Synthesize Novel Metabolite inFrontiers in bioengineering and biotechnology · 2021
    Article
  14. Article
  15. Frontiers in bioengineering and biotechnology · 2021
    Review
  16. Review
  17. Article
  18. Review
  19. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Lilya HorbalDepartment Microbial Natural Products, Actinobacteria Metabolic Engineering Group, Saarland University, Saarbrücken, Germany.
Theresa SieglDepartment Microbial Natural Products, Actinobacteria Metabolic Engineering Group, Saarland University, Saarbrücken, Germany.
Andriy LuzhetskyyDepartment Microbial Natural Products, Actinobacteria Metabolic Engineering Group, Saarland University, Saarbrücken, Germany. andriy.luzhetskyy@helmholtz-hzi.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The design and engineering of secondary metabolite gene clusters that are characterized by complicated genetic organization, require the development of collections of well-characterized genetic control elements that can be reused reliably. Although a few intrinsic terminators and RBSs are used routinely, their translation and termination efficiencies have not been systematically studied in Actinobacteria. Here, we analyzed the influence of the regions surrounding RBSs on gene expression in these bacteria. We demonstrated that inappropriate RBSs can reduce the expression efficiency of a gene to zero. We developed a genetic device - an in vivo RBS-selector - that allows selection of an optimal RBS for any gene of interest, enabling rational control of the protein expression level. In addition, a genetic tool that provides the opportunity for measurement of termination efficiency was developed. Using this tool, we found strong terminators that lead to a 17-100-fold reduction in downstream expression and are characterized by sufficient sequence diversity to reduce homologous recombination when used with other elements. For the first time, a C-terminal degradation tag was employed for the control of protein stability in Streptomyces. Finally, we describe a collection of regulatory elements that can be used to control metabolic pathways in Actinobacteria.

Indexed as

ActinobacteriaBacterial ProteinsGene Expression RegulationGlucuronidasePromoter Regions, GeneticRegulatory Sequences, Nucleic AcidStreptomyces lividansTerminator Regions, GeneticBacterial ProteinsGlucuronidase

Identifiers

PMID29323285
PMCPMC5765039

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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.