Evidence map›Paper›PMID 40532756›Full record

ArticleMetabolic engineering2025

Engineering genetic circuits for dynamic control of central metabolism.

Yusong Zou, Xinyu Gong, Jianli Zhang, Qi Gan, Yajun Yan

Abstract read
In one paragraph

Article in Metabolic engineering, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Engineering theACS synthetic biology · 2026
    Article
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

5 authors.

Yusong ZouSchool of Chemical, Materials and Biomedical Engineering, College of Engineering, The University of Georgia, Athens, GA, 30602, USA.
Xinyu GongSchool of Chemical, Materials and Biomedical Engineering, College of Engineering, The University of Georgia, Athens, GA, 30602, USA.
Jianli ZhangSchool of Chemical, Materials and Biomedical Engineering, College of Engineering, The University of Georgia, Athens, GA, 30602, USA.
Qi GanSchool of Chemical, Materials and Biomedical Engineering, College of Engineering, The University of Georgia, Athens, GA, 30602, USA.
Yajun YanSchool of Chemical, Materials and Biomedical Engineering, College of Engineering, The University of Georgia, Athens, GA, 30602, USA. Electronic address: yajunyan@uga.edu.

Funding

Engineering Dynamic Control of Natural Product Biosynthesis in BacteriaR35GM128620 · NIGMS · UNIVERSITY OF GEORGIA · PI Yajun Yan · 2018 to 2026
$3.0M
NIGMS NIH HHS R35 GM128620
6 · The paper itself

Abstract

Genetic regulation tools have been examined for their ability to enable sophisticated dynamic control of biosynthesis in microbial cell factories, enhancing the production performance of valuable compounds. However, most genetic tools are pathway- or intermediate-specific, hindering their broad applicability in synthetic biology. Moreover, their potential to balance metabolic fluxes in central metabolism between cell growth and product formation remains under-explored, raising the question of whether they can facilitate efficient biosynthesis. To answer this, we established the PdhR biosensor system that responds to pyruvate to dynamically regulate metabolic flux distribution in central metabolism. In this study, we first characterized the dose response of PdhR biosensor system by screening multiple PdhR homologs derived from various microorganisms. Computational analysis further guided the identification of key factors contributing to their functional differences, enabling the optimization of biosensor properties through site-directed mutagenesis. As proof of concept, we employed our biosensor system to improve the biosynthesis of trehalose and 4-hydroxycoumarin (4HC), respectively. Specifically, trehalose titer increased to 3.72 g/L, which is 2.33-fold higher than the control group. In addition, we improved the 4HC titer to 491.5 mg/L, which possessed a 1.63-fold increase over the static strategy. In summary, the established central metabolism-responsive biosensor system underlined the necessity of metabolic flux distribution and validated its broad applicability in the biosynthesis of central metabolism-derived compounds.

Indexed as

Bacterial ProteinsBiosensing TechniquesEscherichia coliGene Regulatory NetworksMetabolic EngineeringTrehaloseBacterial ProteinsTrehalose4-HydroxycoumarinCentral metabolismDynamic controlGenetic biosensorsTrehalose

Identifiers

PMID40532756
PMCPMC13256107

What OpenQuestion holds

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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.