Evidence map›Paper›PMID 30046952›Full record

ArticleJournal of industrial microbiology & biotechnology2018

Engineering Escherichia coli to increase triacetic acid lactone (TAL) production using an optimized TAL sensor-reporter system.

Ye Li, Shuai Qian, Rachel Dunn, Patrick C Cirino

Abstract read
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In one paragraph

Article in Journal of industrial microbiology & biotechnology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. 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

4 authors.

Ye LiDepartment of Chemical and Biomolecular Engineering, University of Houston, S222 Engineering Building 1, Houston, TX, 77204-4004, USA.
Shuai QianDepartment of Chemical and Biomolecular Engineering, University of Houston, S222 Engineering Building 1, Houston, TX, 77204-4004, USA.
Rachel DunnDepartment of Chemical and Biomolecular Engineering, University of Houston, S222 Engineering Building 1, Houston, TX, 77204-4004, USA.
Patrick C CirinoDepartment of Chemical and Biomolecular Engineering, University of Houston, S222 Engineering Building 1, Houston, TX, 77204-4004, USA. pccirino@central.uh.edu.ORCID http://orcid.org/0000-0002-7245-6205

Funding

National Science Foundation CBET-1159398National Science Foundation CBET-1511425
6 · The paper itself

Abstract

Triacetic acid lactone (TAL) (4-hydroxy-6-methyl-2-pyrone) can be upgraded into a variety of higher-value products, and has potential to be developed into a renewable platform chemical through metabolic engineering. We previously developed an endogenous TAL sensor based on the regulatory protein AraC, and applied it to screen 2-pyrone synthase (2-PS) variant libraries in E. coli, resulting in the identification of variants conferring up to 20-fold improved TAL production in liquid culture. In this study, the sensor-reporter system was further optimized and used to further improve TAL production from recombinant E. coli, this time by screening a genomic overexpression library. We identified new and unpredictable gene targets (betT, ompN, and pykA), whose plasmid-based expression improved TAL yield (mg/L/OD

Indexed as

Metabolic EngineeringBiosensing TechniquesCatalysisEscherichia coliGene DeletionGene LibraryGenes, ReporterGenome, BacterialIndustrial MicrobiologyPlasmidsPyronesRecombinant Proteins2-pyrone4-hydroxy-6-methyl-2-pyronePyronesRecombinant Proteinstriacetic acid lactoneBiosensorCombinatorial metabolic engineeringGene libraryHigh-throughput screenTriacetic acid lactone (TAL)

Identifiers

What OpenQuestion holds

Textmetadata
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.