Generation of Genetic Tools for Gauging Multiple-Gene Expression at the Single-Cell Level
Marta Mellini1, Massimiliano Lucidi2, Francesco Imperi1,3
1Department of Science, University Roma Tre, Rome, Italy.
Applied and Environmental Microbiology
|February 20, 2021
Summary
Researchers developed a new genetic tool, pRGC, to monitor multiple gene expression in single bacterial cells. This tool helps understand phenotypic heterogeneity in bacteria like Pseudomonas aeruginosa.
Area of Science:
- Microbiology
- Molecular Biology
- Genetics
Background:
- Key microbial processes exhibit heterogeneous expression in single bacterial cells.
- Limited molecular tools hinder real-time, multi-gene expression analysis at the single-cell level, impeding understanding of phenotypic heterogeneity.
- Phenotypic heterogeneity is crucial in bacterial processes like competence, sporulation, and persistence.
Purpose of the Study:
- To develop and validate a genetic tool for gauging multiple-gene expression at the single-cell level in *Pseudomonas aeruginosa*.
- To investigate phenotypic heterogeneity using the novel tool.
- To provide a cost-effective method for studying gene expression in bacterial populations.
Main Methods:
- Generation of the pRGC (promoter-probe vector for transcriptional fusions) tool with three distinct fluorescent reporter genes (mCherry, GFP, CFP).
- Characterization and validation of pRGC using constitutive and iron-regulated promoters in *P. aeruginosa*.
- Development of pRGC variants for chromosomal integration or broader bacterial genus application.
Main Results:
- The pRGC tool successfully discriminated three fluorescence signals in single *P. aeruginosa* cells without complex image processing.
- Validated the tool's efficacy for analyzing gene expression of both constitutive and iron-regulated promoters.
- Generated variants suitable for long-term studies and application in diverse bacterial genera.
Conclusions:
- The pRGC genetic tool enables easy, rapid, and cost-effective investigation of multiple-gene expression at the single-cell level.
- Facilitates deeper understanding of microbial phenotypic heterogeneity in environmental and pathogenic bacteria.
- The proof-of-concept study demonstrated its utility in analyzing iron uptake and storage gene expression in *P. aeruginosa*.
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