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Single-cell Microfluidic Analysis of Bacillus subtilis
Published on: January 26, 2018
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Metabolic Labeling and Digital Microfluidic Single-Cell Sequencing for Single Bacterial Genotypic-Phenotypic Analysis
Junnan Guo1, Di Sun2, Kunjie Li1
1Department of Chemical Biology, College of Chemistry and Chemical Engineering, School of Life Sciences, Innovation Laboratory for Sciences and Technologies of Energy Materials of Fujian Province (IKKEM), Xiamen University, Xiamen, 361005, China.
Small (Weinheim an Der Bergstrasse, Germany)
|July 30, 2024
Summary
A new Digital microfluidic-based automated assay, Digital-GPA, enables whole-genome sequencing of single antibiotic-resistant bacteria. This method accurately identifies resistance mechanisms and genetic profiles from clinical samples without culturing bacteria.
Area of Science:
- Microbiology
- Genomics
- Bioengineering
Background:
- Accurate bacterial characterization is crucial for understanding antibiotic resistance.
- Current methods often analyze individual profiles, limiting comprehensive analysis.
- A need exists for advanced techniques to analyze antibiotic resistance at a single-cell level.
Purpose of the Study:
- To develop and validate a novel digital microfluidic assay for genotypic and phenotypic analysis of antibiotic-resistant strains (Digital-GPA).
- To enable whole-genome sequencing of single antibiotic-resistant bacteria for detailed resistance mechanism identification.
- To provide a method for direct analysis of clinical samples, including hard-to-culture bacteria.
Main Methods:
- Development of a Digital microfluidic-based automated assay (Digital-GPA).
- Utilizing fluorescent D-amino acid (FDAA)-labeling for isolation of antibiotic-resistant bacteria.
- Whole-genome sequencing of single-cell amplified genomes (SAGs) from isolated bacteria.
Main Results:
- Digital-GPA efficiently isolates and sequences antibiotic-resistant bacteria, producing high-quality SAGs.
- The assay accurately identifies minor and major mutations, revealing distinct resistance mechanisms.
- Direct processing of clinical samples is demonstrated, bypassing the need for bacterial culture.
Conclusions:
- Digital-GPA offers a powerful new approach for antibiotic resistance analysis.
- The method provides accurate, comprehensive molecular profiles of antibiotic resistance at single-cell resolution.
- Digital-GPA has the potential to expedite the analysis of resistant pathogens, including difficult-to-culture strains.
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