Related Experiment Video
Updated: Jan 4, 2026

Single-cell Microfluidic Analysis of Bacillus subtilis
Published on: January 26, 2018
Deciphering the Antitoxin-Regulated Bacterial Stress Response via Single-Cell Analysis
Lina Wu1, Miaomiao Zhang1, Yiyi Song1
1MOE Key Laboratory of Spectrochemical Analysis & Instrumentation, Key Laboratory for Chemical Biology of Fujian Province, Collaborative Innovation Center of Chemistry for Energy Materials, Department of Chemical Biology, College of Chemistry and Chemical Engineering , Xiamen University , Xiamen , Fujian 361005 , People's Republic of China.
Bacterial toxin-antitoxin systems are crucial for stress tolerance. A new nano-flow cytometry method detects antitoxin levels, revealing distinct bacterial populations that enhance survival in changing environments.
Area of Science:
- Microbiology
- Molecular Biology
- Biotechnology
Background:
- Bacterial toxin-antitoxin (TA) systems confer tolerance to drugs and environmental stresses.
- Quantitative measurement of low-abundance TA proteins in single bacteria is challenging.
- TA systems are vital for prokaryotic survival and adaptation.
Purpose of the Study:
- To develop a sensitive method for detecting basal-level antitoxin expression in single bacteria.
- To investigate the heterogeneity of antitoxin MqsA levels in *Escherichia coli* under various conditions.
- To analyze the dynamic response of TA systems to environmental stress.
Main Methods:
- Development of a nano-flow cytometry (nFCM) method using a tetracysteine-tagged TA system (MqsR/MqsA) labeled with FlAsH.
- Monitoring basal-level expression and degradation of antitoxin MqsA in single *E. coli*.
- Simultaneous analysis of bacterial growth rate and MqsA production under environmental stress.
Main Results:
- Identified two distinct populations of *E. coli* with high or low MqsA levels under native conditions.
- Observed differential responses of these populations to bile acid stress, heat shock, and amino acid starvation.
- Demonstrated resumed MqsA production after amino acid stress and a 60-minute lag between MqsA production and growth response to stress.
Conclusions:
- Stochastic elevation of MqsA facilitates bacterial survival.
- Distinct bacterial subpopulations with varying MqsA levels enhance adaptation to fluctuating environments.
- The developed nFCM method provides deeper insights into TA system heterogeneity and function.
Related Concept Videos
Other Stress Responses in Bacteria
Stringent Response in E. coli

