Evidence map›Paper›PMID 40776718›Full record

ArticleACS synthetic biology2025

Characterizing and Engineering a Succinate-Responsive Biosensor System in

Yusong Zou, Yuanxin Qian, Connor Parish, Logan Huddle, Yajun Yan

Abstract read
In one paragraph

Article in ACS synthetic biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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, Georgia 30602, United States.
Yuanxin QianSchool of Chemical, Materials and Biomedical Engineering, College of Engineering, The University of Georgia, Athens, Georgia 30602, United States.
Connor ParishSchool of Chemical, Materials and Biomedical Engineering, College of Engineering, The University of Georgia, Athens, Georgia 30602, United States.
Logan HuddleSchool of Chemical, Materials and Biomedical Engineering, College of Engineering, The University of Georgia, Athens, Georgia 30602, United States.
Yajun YanSchool of Chemical, Materials and Biomedical Engineering, College of Engineering, The University of Georgia, Athens, Georgia 30602, United States.ORCID 0000-0002-9993-3016

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

Metabolic engineering enables the sustainable production of valuable compounds, but challenges such as metabolic imbalances and limited regulatory tools hinder optimal yields and efficiencies. Transcription factor (TF)-based biosensors have emerged as robust solutions, allowing dynamic sensing and regulation of intracellular metabolites. However, their limited diversity often restricts their broader applications in metabolic engineering. To overcome this limitation, it is essential to develop biosensors that are responsive to central metabolic intermediates, enabling more versatile pathway control. In this study, we characterized a succinate-responsive biosensor system regulated by the IclR family TF, PcaR, and elucidated the dual-function mechanism observed in this PcaR biosensor system. Initially, we fine-tuned the expression of PcaR, fully recovering the corresponding promoter strength. Then, we discovered a dual-function mechanism of PcaR through homologue pairing, further elucidated by employing site-directed mutagenesis and promoter engineering. Meanwhile, we established a succinate-responsive biosensor library guided by PcaR-succinate complex analysis with varied dynamic ranges, identifying the superior P1-AII variant with nearly a 33-fold improvement in dynamic range. Finally, we constructed a bifunctional regulatory circuit controlled by succinate and a single regulator, demonstrating its potential for dynamic metabolic regulation. Given the primary role of succinate in central metabolism, the engineered PcaR biosensor system provides a promising tool for real-time metabolic monitoring and optimization of microbial production.

Indexed as

Biosensing TechniquesEscherichia coliMetabolic EngineeringSuccinic AcidEscherichia coli ProteinsGene Expression Regulation, BacterialMutagenesis, Site-DirectedPromoter Regions, GeneticTranscription FactorsEscherichia coli ProteinsSuccinic AcidTranscription Factorsdynamic behaviorgenetic biosensorsPcaRsite-directed mutagenesissuccinate

Identifiers

PMID40776718
PMCPMC12455658

What OpenQuestion holds

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LicenceCC BY
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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.