Evidence map›Paper›PMID 30696431›Full record

ArticleMicrobial cell factories2019

Biosensor-guided improvements in salicylate production by recombinant Escherichia coli.

Shuai Qian, Ye Li, Patrick C Cirino

Open access · goldAbstract read
In one paragraph

Article in Microbial cell factories, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.6field-weighted citation impact, top 16% of its field
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

13 citing papers in PubMed, 38 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Review
  5. Article
  6. Review
  7. Metabolic Engineering ofACS omega · 2022
    Article
  8. Review
  9. Review
  10. Review
  11. Review
  12. Review
  13. Review
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 at 1 institution in 1 country.

Shuai QianDepartment of Chemical & Biomolecular Engineering, University of Houston, S222 Engineering Building 1, Houston, TX, 77204-4004, USA.
Ye LiDepartment of Chemical & Biomolecular Engineering, University of Houston, S222 Engineering Building 1, Houston, TX, 77204-4004, USA.
Patrick C CirinoDepartment of Chemical & Biomolecular Engineering, University of Houston, S222 Engineering Building 1, Houston, TX, 77204-4004, USA. pccirino@uh.edu.
University of Houston · US

Funding

National Science Foundation CBET-1511425
6 · The paper itself

Abstract

backgroundSalicylate can be biosynthesized from the common metabolic intermediate shikimate and has found applications in pharmaceuticals and in the bioplastics industry. While much metabolic engineering work focused on the shikimate pathway has led to the biosynthesis of a variety of aromatic compounds, little is known about how the relative expression levels of pathway components influence salicylate biosynthesis. Furthermore, some host strain gene deletions that improve salicylate production may be impossible to predict. Here, a salicylate-responsive transcription factor was used to optimize the expression levels of shikimate/salicylate pathway genes in recombinant E. coli, and to screen a chromosomal transposon insertion library for improved salicylate production.

resultsA high-throughput colony screen was first developed based on a previously designed salicylate-responsive variant of the E. coli AraC regulatory protein ("AraC-SA"). Next, a combinatorial library was constructed comprising a series of ribosome binding site sequences corresponding to a range of predicted protein translation initiation rates, for each of six pathway genes (> 38,000 strain candidates). Screening for improved salicylate production allowed for the rapid identification of optimal gene expression patterns, conferring up to 123% improved production of salicylate in shake-flask culture. Finally, transposon mutagenesis and screening revealed that deletion of rnd (encoding RNase D) from the host chromosome further improved salicylate production by 27%.

conclusionsThese results demonstrate the effectiveness of the salicylate sensor-based screening platform to rapidly identify beneficial gene expression patterns and gene knockout targets for improving production. Such customized high-throughput tools complement other cell factory engineering strategies. This approach can be generalized for the production of other shikimate-derived compounds.

Indexed as

Metabolic EngineeringBiosensing TechniquesBiosynthetic PathwaysEscherichia coliGene DeletionGene Knockout TechniquesGene LibraryHigh-Throughput Screening AssaysIndustrial MicrobiologySalicylatesShikimic AcidSynthetic BiologySalicylatesShikimic AcidAraCBiosensorHigh-throughput screeningMetabolic engineeringRibosome binding siteSalicylateSynthetic biology

Identifiers

PMID30696431
PMCPMC6350385
OpenAlexW2918961901

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.