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Single-Cell Sequencing of a Bile Sample From an Acute Cholecystitis Patient
Mari Tohya1, Kazunori Murase2, Masaaki Minagawa3
1Division of Biomedical Food Research, National Institute of Health Sciences, Kanagawa, JPN.
Cureus
|January 9, 2026
Summary
Single-cell genome sequencing of bacterial infections is novel. This study used single-cell amplified genome sequencing on an acute cholecystitis bile sample, revealing *E. coli* strains genetically closer to *Shigella sonnei*.
Area of Science:
- Genomics
- Microbiology
- Clinical Diagnostics
Background:
- Single-cell sequencing is emerging for clinical samples, but its application in bacterial infections remains limited.
- Acute cholecystitis is a common gallbladder inflammation, often caused by bacterial infections.
Purpose of the Study:
- To investigate the utility of single-cell genome sequencing for analyzing bacterial infections in a clinical sample.
- To characterize the bacterial species present in a bile sample from a patient with acute cholecystitis.
Main Methods:
- Whole genome sequencing of four *Escherichia coli* isolates from a bile sample using the single-cell amplified genome (SAG) sequencing technique.
- Comparative genomic analysis using average nucleotide identity (ANI) and digital DNA-DNA hybridization (dDDH) against type strains.
- 16S metagenome analysis to identify predominant bacterial genomes.
Main Results:
- The four *E. coli* isolates were genetically identical (ANI 99.98-100%, dDDH 100%).
- Genomic analysis indicated these strains were more closely related to *Shigella sonnei* (ANI 98.65-98.66%) than *E. coli* (ANI 96.79-96.80%), despite lacking key *Shigella* virulence genes.
- 16S metagenome analysis identified *E. coli* as the predominant species (93.15%), but SAG sequencing coverage was limited (9.45-42.88%), resulting in sequence gaps.
Conclusions:
- Single-cell genome sequencing, despite current limitations in coverage and data gaps, can offer novel insights into bacterial infections.
- The study highlights potential discrepancies between standard identification and whole-genome-based phylogenetic placement for clinical isolates.
- Further refinement of SAG sequencing protocols is necessary to improve genome coverage and data quality for clinical applications.

