Evidence map›Paper›PMID 40791178›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2025

A Refined Adaptive Laboratory Evolution Strategy With Biosensor-Assisted Selection Resolves the Tolerance-Efficiency Trade-Off in Toxic Chemical Biosynthesis.

Yufei Zhang, Junhua Yun, Guoyan Zhang, Hossain M Zabed, Yuehui Tian, Xinrui Tang, Jia Li, Xianghui Qi

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2025. 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

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

4 citing papers in PubMed.

  1. Review
  2. EngineeringFrontiers in microbiology · 2026
    Review
  3. Article
  4. 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

8 authors.

Yufei ZhangInnovative Center of Cell Signaling Transduction and Synthetic Biology,Guangdong Provincial Key Laboratory of Plant Adaptation and Molecular Design, School of Life Sciences, Guangzhou University, 230 Wai Huan Xi Road, Guangzhou, Guangdong, 510006, P. R. China.ORCID https://orcid.org/0000-0003-3282-7160
Junhua YunInnovative Center of Cell Signaling Transduction and Synthetic Biology,Guangdong Provincial Key Laboratory of Plant Adaptation and Molecular Design, School of Life Sciences, Guangzhou University, 230 Wai Huan Xi Road, Guangzhou, Guangdong, 510006, P. R. China.
Guoyan ZhangInnovative Center of Cell Signaling Transduction and Synthetic Biology,Guangdong Provincial Key Laboratory of Plant Adaptation and Molecular Design, School of Life Sciences, Guangzhou University, 230 Wai Huan Xi Road, Guangzhou, Guangdong, 510006, P. R. China.
Hossain M ZabedInnovative Center of Cell Signaling Transduction and Synthetic Biology,Guangdong Provincial Key Laboratory of Plant Adaptation and Molecular Design, School of Life Sciences, Guangzhou University, 230 Wai Huan Xi Road, Guangzhou, Guangdong, 510006, P. R. China.
Yuehui TianInnovative Center of Cell Signaling Transduction and Synthetic Biology,Guangdong Provincial Key Laboratory of Plant Adaptation and Molecular Design, School of Life Sciences, Guangzhou University, 230 Wai Huan Xi Road, Guangzhou, Guangdong, 510006, P. R. China.
Xinrui TangInnovative Center of Cell Signaling Transduction and Synthetic Biology,Guangdong Provincial Key Laboratory of Plant Adaptation and Molecular Design, School of Life Sciences, Guangzhou University, 230 Wai Huan Xi Road, Guangzhou, Guangdong, 510006, P. R. China.
Jia LiInnovative Center of Cell Signaling Transduction and Synthetic Biology,Guangdong Provincial Key Laboratory of Plant Adaptation and Molecular Design, School of Life Sciences, Guangzhou University, 230 Wai Huan Xi Road, Guangzhou, Guangdong, 510006, P. R. China.
Xianghui QiInnovative Center of Cell Signaling Transduction and Synthetic Biology,Guangdong Provincial Key Laboratory of Plant Adaptation and Molecular Design, School of Life Sciences, Guangzhou University, 230 Wai Huan Xi Road, Guangzhou, Guangdong, 510006, P. R. China.ORCID https://orcid.org/0000-0002-5817-1609

Funding

Innovation & Entrepreneurship Team Project of Guangzhou, China 2024D03J0012National Natural Science Foundation of China 32272284
6 · The paper itself

Abstract

Enhancing microbial tolerance to target chemicals through conventional adaptive laboratory evolution (ALE) is time-consuming, labor-intensive, and further constrained by the challenge of balancing improved tolerance with maintaining optimal biosynthetic efficiency. Here, this work proposes a refined ALE strategy that combines initial mutagenesis with an automated microdroplet cultivation (MMC) system, thereby expediting the acquisition of tolerance phenotypes. Integrating a biosensor-assisted high-throughput screening platform enables identification of strains exhibiting advantageous "win-win" phenotypes, characterized by simultaneous improvements in both tolerance and biosynthetic capacity. Using E. coli for the biosynthesis of 3-hydroxypropionic acid (3-HP) as a model system, this work rapidly evolves strains capable of tolerating 720 mM 3-HP within 12 days. Leveraging a newly developed and validated 3-HP-responsive biosensor, this work efficiently screens and isolates superior strains. The top-performing strain produced 86.3 g L

Indexed as

Biosensing TechniquesDirected Molecular EvolutionEscherichia coliLactic Acidhydracrylic acidLactic Acid3‐hydroxypropionic acidadaptive laboratory evolutionbiosensormutagenesistolerance engineering

Identifiers

PMID40791178
PMCPMC12591173

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Registered trials

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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.