Evidence map›Paper›PMID 39342182›Full record

ArticleMicrobial cell factories2024

Engineering quorum sensing-based genetic circuits enhances growth and productivity robustness of industrial E. coli at low pH.

Xiaofang Yan, Anqi Bu, Yanfei Yuan, Xin Zhang, Zhanglin Lin, Xiaofeng Yang

Abstract read
In one paragraph

Article in Microbial cell factories, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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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

6 authors.

Xiaofang YanSchool of Biology and Biological Engineering, South China University of Technology, Guangzhou, 510006, Guangdong, China.
Anqi BuSchool of Biology and Biological Engineering, South China University of Technology, Guangzhou, 510006, Guangdong, China.
Yanfei YuanSchool of Biology and Biological Engineering, South China University of Technology, Guangzhou, 510006, Guangdong, China.
Xin ZhangSchool of Biology and Biological Engineering, South China University of Technology, Guangzhou, 510006, Guangdong, China.
Zhanglin LinSchool of Biology and Biological Engineering, South China University of Technology, Guangzhou, 510006, Guangdong, China. zhanglinlin@gdut.edu.cn.
Xiaofeng YangSchool of Biology and Biological Engineering, South China University of Technology, Guangzhou, 510006, Guangdong, China. biyangxf@scut.edu.cn.

Funding

National Key Research and Development Program of China 2018YFA0901000National Key Research and Development Program of China 2022YFC2104800
6 · The paper itself

Abstract

backgroundMicrobial organisms hold significant potential for converting renewable substrates into valuable chemicals. Low pH fermentation in industrial settings offers key advantages, including reduced neutralizer usage and decreased wastewater generation, particularly in the production of amino acids and organic acids. Engineering acid-tolerant strains represents a viable strategy to enhance productivity in acidic environments. Synthetic biology provides dynamic regulatory tools, such as gene circuits, facilitating precise expression of acid resistance (AR) modules in a just-in-time and just-enough manner.

resultsIn this study, we aimed to enhance the robustness and productivity of Escherichia coli, a workhorse for amino acid and organic acid production, in industrial fermentation under mild acidic conditions. We employed an Esa-type quorum sensing circuit to dynamically regulate the expression of an AR module (DsrA-Hfq) in a just-in-time and just-enough manner. Through careful engineering of the critical promoter P

conclusionsThis study exemplifies the practical application of gene circuits in industrial environments, which present challenges far beyond those of well-controlled laboratory conditions.

Indexed as

Escherichia coliQuorum SensingFermentationGene Regulatory NetworksHydrogen-Ion ConcentrationIndustrial MicrobiologyAcid resistanceEscherichia coliGene circuitLysine productionQuorum sensing

Identifiers

PMID39342182
PMCPMC11438209

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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.