Evidence map›Paper›PMID 34475401›Full record

ArticleNPJ systems biology and applications2021

Quantifying the optimal strategy of population control of quorum sensing network in Escherichia coli.

Xiang Li, Jun Jin, Xiaocui Zhang, Fei Xu, Jinjin Zhong, Zhiyong Yin, Hong Qi, Zhaoshou Wang, Jianwei Shuai

Abstract read
In one paragraph

Article in NPJ systems biology and applications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Review
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  3. Silyl-Lipid FunctionalizedACS chemical biology · 2025
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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

9 authors.

Xiang LiDepartment of Physics, College of Physical Science and Technology, Xiamen University, Xiamen, China.
Jun JinDepartment of Physics, College of Physical Science and Technology, Xiamen University, Xiamen, China.
Xiaocui ZhangDepartment of Physics, College of Physical Science and Technology, Xiamen University, Xiamen, China.
Fei XuDepartment of Physics, College of Physical Science and Technology, Xiamen University, Xiamen, China.
Jinjin ZhongDepartment of Physics, College of Physical Science and Technology, Xiamen University, Xiamen, China.
Zhiyong YinDepartment of Physics, College of Physical Science and Technology, Xiamen University, Xiamen, China.
Hong QiComplex Systems Research Center, Shanxi University, Shanxi, Taiyuan, China.
Zhaoshou WangInstitute of Biochemical Engineering, Department of Chemical and Biochemical Engineering, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen, China. wzs@xmu.edu.cn.ORCID 0000-0001-5940-0875
Jianwei ShuaiDepartment of Physics, College of Physical Science and Technology, Xiamen University, Xiamen, China. jianweishuai@xmu.edu.cn.ORCID 0000-0002-8712-0544

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biological functions of bacteria can be regulated by monitoring their own population density induced by the quorum sensing system. However, quantitative insight into the system's dynamics and regulatory mechanism remain challenging. Here, we construct a comprehensive mathematical model of the synthetic quorum sensing circuit that controls population density in Escherichia coli. Simulations agree well with experimental results obtained under different ribosome-binding site (RBS) efficiencies. We present a quantitative description of the component dynamics and show how the components respond to isopropyl-β-D-1-thiogalactopyranoside (IPTG) induction. The optimal IPTG-induction range for efficiently controlling population density is quantified. The controllable area of population density by acyl-homoserine lactone (AHL) permeability is quantified as well, indicating that high AHL permeability should be treated with a high dose of IPTG, while low AHL permeability should be induced with low dose for efficiently controlling. Unexpectedly, an oscillatory behavior of the growth curve is observed with proper RBS-binding strengths and the oscillation is greatly restricted by the bacterial death induced by toxic metabolic by-products. Moreover, we identify that the mechanism underlying the emergence of oscillation is determined by the negative feedback loop structure within the signaling. Bifurcation analysis and landscape theory are further employed to study the stochastic dynamic and global stability of the system, revealing two faces of toxic metabolic by-products in controlling oscillatory behavior. Overall, our study presents a quantitative basis for understanding and new insights into the control mechanism of quorum sensing system, providing possible clues to guide the development of more rational control strategy.

Indexed as

Escherichia coliQuorum SensingAcyl-ButyrolactonesBacterial ProteinsPopulation ControlAcyl-ButyrolactonesBacterial Proteins

Identifiers

PMID34475401
PMCPMC8413372

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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.