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Updated: Jun 19, 2026
09:39
A Platform of Anti-biofilm Assays Suited to the Exploration of Natural Compound Libraries
Published on: December 27, 2016
Opposing range-dependent interactions create complex spatial patterns of antibiotic tolerance in multispecies
Giulia Bottacin1, Benjamin Raach2,3, Leonard Fröhlich4
1Biozentrum, University of Basel, Basel 4056, Switzerland.
Summary
Complex spatial patterns in microbial biofilms emerge from opposing molecular interactions with different ranges. This finding helps predict and engineer community functions by understanding how these interactions combine.
Area of Science:
- Microbiology
- Systems Biology
- Chemical Biology
Background:
- Multispecies biofilms involve complex cell-cell interactions via diffusible molecules.
- Predicting biofilm community functions requires quantitative frameworks for combined interactions.
Purpose of the Study:
- To investigate how opposing interactions with distinct spatial ranges shape microbial community functions.
- To understand the combined effects of Pseudomonas aeruginosa exoproducts (HQNO and rhamnolipids) on Staphylococcus aureus antibiotic tolerance.
Main Methods:
- Microfluidics-based imaging to quantify single-cell spatial-tolerance patterns.
- Mathematical modeling to analyze the interplay of short-range and long-range interactions.
- Bioprinting to create and study mixed and segregated biofilms.
Main Results:
- Antibiotic tolerance in S. aureus exhibited a complex spatial pattern, with survival only at intermediate distances from P. aeruginosa.
- Rhamnolipids showed a strong, short-range effect, while HQNO had a weaker, long-range effect, driving the spatial pattern.
- Spatial arrangement significantly modulated overall tolerance by altering the balance of opposing interactions.
Conclusions:
- Spatial-tolerance patterns in biofilms arise from the combined effects of range-dependent, opposing interactions.
- A quantitative framework is established for predicting how combined interactions shape community properties.
- This research provides a foundation for understanding and engineering microbiome functions.
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