High-Resolution Bacterial Cytological Profiling Reveals Intrapopulation Morphological Variations upon Antibiotic...

Area of Science:

• Microbiology
• Cell Biology
• Pharmacology

Background:

• Bacterial phenotypic heterogeneity is vital for survival and antibiotic resistance.
• Existing methods often average data, masking crucial single-cell variations and antibiotic mechanisms of action (MOA).

Purpose of the Study:

• To develop a high-resolution single-cell profiling method for bacterial morphological changes under antibiotic treatment.
• To accurately classify known MOAs based on these morphological variations.
• To investigate the impact of antibiotic combinations and natural product-derived compounds on bacterial morphology.

Main Methods:

• Developed a high-resolution bacterial cytological profiling technique.
• Applied single-cell resolution to capture and classify bacterial morphological variations.
• Analyzed morphological changes induced by single antibiotics, antibiotic combinations, and a natural product-derived compound.

Main Results:

• The new method achieved over 90% accuracy in classifying bacterial morphological changes into known MOAs.
• Antibiotic combinations induced unique or overlapping morphological profiles.
• The method revealed synergistic antibacterial activities of a natural compound with colistin against Acinetobacter baumannii by identifying multiple cytological changes.

Conclusions:

• High-resolution single-cell profiling can reveal previously underappreciated intrapopulation variations caused by antibiotic perturbations.
• This approach offers a powerful tool for understanding antibiotic MOA, drug synergy, and bacterial survival strategies.
• The findings pave the way for advanced single-cell analysis in bacterial research.