Evidence map›Paper›PMID 40682826›Full record

ArticleNucleic acids research2025

A quorum sensing-controlled type I CRISPRi toolkit for dynamically regulating metabolic flux.

Han Zheng, Chengyao Mao, Siyao Chen, Shidi Hou, Dongchang Sun

Erratum issuedAbstract read
In one paragraph

Article in Nucleic acids research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Han ZhengCollege of Biotechnology and Bioengineering, Zhejiang University of Technology, Hangzhou, Zhejiang 310014, China.
Chengyao MaoCollege of Biotechnology and Bioengineering, Zhejiang University of Technology, Hangzhou, Zhejiang 310014, China.
Siyao ChenCollege of Biotechnology and Bioengineering, Zhejiang University of Technology, Hangzhou, Zhejiang 310014, China.
Shidi HouCollege of Biotechnology and Bioengineering, Zhejiang University of Technology, Hangzhou, Zhejiang 310014, China.
Dongchang SunCollege of Biotechnology and Bioengineering, Zhejiang University of Technology, Hangzhou, Zhejiang 310014, China.ORCID 0000-0003-0405-4623

Funding

National Natural Science Foundation of China 31670084National Natural Science Foundation of China 32170083Research and Development Program of Zhejiang Province 2020C02031
6 · The paper itself

Abstract

Synthetic biology advances have enabled dynamic metabolic regulation via quorum sensing (QS) and CRISPR systems. However, the integration of QS with CRISPR-based systems for dynamic control remains largely underexplored. Here, we developed a QS-controlled type I CRISPR interference (QICi) toolkit that modulates target gene expression in response to cell density. By streamlining CRISPR RNA (crRNA) vector construction and optimizing key QS components PhrQ and RapQ, we achieved a twofold enhancement in QICi efficacy. We subsequently implemented the optimized QICi to reprogram Bacillus subtilis for d-pantothenic acid (DPA) and riboflavin (RF) biosynthesis. Dynamic regulation of the citrate synthase gene citZ by QICi, coupled with pantoate pathway engineering, cofactor supply enhancement, and suppression of sporulation, elevated DPA titers to 14.97 g/l in 5-l fed-batch fermentations without precursor supplementation. QICi-mediated metabolic rewiring of key nodes boosted RF production by 2.49-fold. Together, our work provides a robust tool for reprogramming microbial metabolism and advancing sustainable biomanufacturing.

Indexed as

Bacillus subtilisCRISPR-Cas SystemsMetabolic EngineeringQuorum SensingBacterial ProteinsGene Expression Regulation, BacterialRiboflavinSynthetic BiologyBacterial ProteinsRiboflavin

Identifiers

PMID40682826
PMCPMC12276013

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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.