Spatial population dynamics of bacterial colonies with social antibiotic resistance

Proceedings of the National Academy of Sciences, Journal Year: 2025, Volume and Issue: 122(7)

Published: Feb. 12, 2025

Bacteria frequently inhabit surface-attached communities where rich “social” interactions can significantly alter their population-level behavior, including response to antibiotics. Understanding these collective effects in spatially heterogeneous is an ongoing challenge. Here, we investigated the spatial organization that emerges from antibiotic exposure initially randomly distributed containing antibiotic-resistant and -sensitive strains of Enterococcus faecalis , opportunistic pathogen. We identified a range complex structures emerged population homeland—the inoculated region microbes prior expansion—which depended on initial colony composition concentration. found arrangements were explained by cooperative between resistant sensitive subpopulations with variable scale, result dynamic zones protection afforded cells growing populations enzyme-producing neighbors. Using combination experiments mathematical models, explored spatiotemporal interaction dynamics create patterns, predicted under new conditions. illustrated how homeland affect subsequent expansion, both because they modulate expanding front, through long-range cooperation region. Finally, showed constraints resulted whose size differed markedly matched well-stirred (planktonic) cultures. These findings underscore importance structure cooperation, long-studied features theoretical ecology, for determining fate bacterial exposure.

Language: Английский

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Microfluidic investigation of the impacts of flow fluctuations on the development of Pseudomonas putida biofilms

npj Biofilms and Microbiomes, Journal Year: 2023, Volume and Issue: 9(1)

Published: Oct. 3, 2023

Biofilms play critical roles in wastewater treatment, bioremediation, and medical-device-related infections. Understanding the dynamics of biofilm formation growth is essential for controlling exploiting their properties. However, majority current studies have focused on impact steady flows growth, while flow fluctuations are common natural engineered systems such as water pipes blood vessels. Here, we reveal effects development Pseudomonas putida biofilms through systematic microfluidic experiments a theoretical model. Our experimental results showed that under fluctuating conditions followed three phases: lag, exponential, fluctuation phases. In contrast, steady-flow four stationary, decline Furthermore, demonstrated low-frequency promoted high-frequency inhibited its development. We attributed contradictory impacts to adjustment time (T0) needed grow after shear stress changed from high low. developed model explains observed conditions. insights into mechanisms underlying can inform design strategies control diverse systems.

Language: Английский

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Individual-based modelling (IbM) in food microbiology: A comprehensive guideline

Food Research International, Journal Year: 2025, Volume and Issue: unknown, P. 116408 - 116408

Published: April 1, 2025

Language: Английский

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Unification of cell-scale metabolic activity with biofilm behavior by integration of advanced flow and reactive-transport modeling and microfluidic experiments

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: Jan. 27, 2024

Abstract The bacteria Geobacter sulfurreducens (GS) is a promising candidate for broad applications involving bioelectrochemical systems (BES), such as environmental bioremediation and energy production. To date, most GS studies have reported biofilm-scale metrics, which fail to capture the interactions between cells their local environments via complex metabolism at cellular level. Moreover, dominance of considering diffusion-only molecular mass transport models within biofilm has ignored role internal advection though in flow BES. Among other things, this incomplete picture anode-adhered biofilms led missed opportunities optimizing operational parameters address these gaps, we modernized genome-scale metabolic model (GEM) complemented it with reactive-transport (FRTM). We tuned certain that were critical reproducing experimental results from pure-culture microfluidic cell under precisely controlled conditions. provided insights into determining spatial availability nutrient molecules biofilm. Thus, verified fluid was significantly more important than previously thought. Coupling new mechanisms GEM revealed adjustments intracellular metabolisms based on position Three findings require immediate dissemination BES community: (i) Michaelis-Menten kinetics overestimate acetate conversion positions where concentration high, whereas Coulombic efficiencies should be nearly 10% lower assumed by authors; (ii) unification empirically observed sensitivity kinetic cell-scale values are finally achieved; (iii) accounting leads estimations diffusion coefficients much proposed elsewhere literature. In conclusion, in-depth spatiotemporal understanding across relevant size scales opens door avenues optimization, fine-scale processes large-scale applications, including improved techno-economic analyses.

Language: Английский

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Biofilms for Production of Chemicals and Energy

Annual Review of Chemical and Biomolecular Engineering, Journal Year: 2024, Volume and Issue: 15(1), P. 361 - 387

Published: Feb. 21, 2024

The twenty-first century will be the of biology. This is not only because breakthrough advances in molecular biology tools but also we need to reinvent our economy based on biological principles energy efficiency and sustainability. Consequently, new for production routines must developed help produce platform chemicals sources sustainable resources. In this context, biofilm-based processes have potential impact future processes, they can carried out continuously with robust stationary biocatalysts embedded an extracellular matrix different properties. We review productive biofilm systems used heterotrophic lithoautotrophic attempt identify fundamental reasons why may particularly suitable as systems.

Language: Английский

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Understanding the flow behavior around marine biofilms

Biofilm, Journal Year: 2024, Volume and Issue: 7, P. 100204 - 100204

Published: May 29, 2024

platforms capable of mimicking the hydrodynamic conditions prevailing in natural aquatic environments have been previously validated and used to predict fouling behavior on different surfaces. Computational Fluid Dynamics (CFD) has shear forces occurring these platforms. In general, predictions are made for initial stages biofilm formation, where amount does not affect flow behavior, enabling estimation that adhering organisms withstand. this work, we go a step further understanding when mature is present such better understand rate distribution affecting marine biofilms. Using 3D images obtained by Optical Coherence Tomography, mesh was produced CFD simulations. Biofilms two cyanobacteria were developed agitated microtiter plates incubated at shaking frequencies 7 weeks. The biofilm-flow interactions characterized terms velocity field distribution. Results show global hydrodynamics imposed architecture also affects local hydrodynamics, causing large heterogeneity field. Biofilm cells located streamers subjected much higher values than those bottom dispersion increases lower bulk fluid velocities. This force may be contributing factor heterogeneous metabolic activity, growth status, gene expression pattern, antibiotic resistance often associated with nutrient availability within biofilm.

Language: Английский

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Kinetics of ferrihydrite reduction in a biofilm system

Geochimica et Cosmochimica Acta, Journal Year: 2024, Volume and Issue: 375, P. 123 - 133

Published: May 7, 2024

Language: Английский

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Cyclic olefin copolymer (COC) as a promising biomaterial for affecting bacterial colonization: Investigation on Vibrio campbellii

International Journal of Biological Macromolecules, Journal Year: 2024, Volume and Issue: 271, P. 132550 - 132550

Published: May 21, 2024

Language: Английский

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Spatial pattern formation of bacterial colonies with social antibiotic resistance

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: Aug. 22, 2024

Abstract Bacteria frequently inhabit surface-attached communities where rich “social” interactions can significantly alter their population-level behavior, including response to antibiotics. Understanding these collective effects in spatially heterogeneous is an ongoing challenge. Here, we investigated the spatial organization that emerges from antibiotic exposure initially randomly distributed containing antibiotic-resistant and -sensitive strains of E. faecalis , opportunistic pathogen. We identified a range complex structures emerged population homeland—the inoculated region microbes prior expansion—, which depended on initial colony composition concentration. found arrangements were explained by cooperative between resistant sensitive subpopulations with variable scale, result dynamic zones protection afforded cells growing populations enzyme-producing neighbors. Using combination experiments mathematical models, explored spatiotemporal interaction dynamics create patterns, predicted under new conditions. illustrated how homeland affect subsequent expansion, both because they modulate expanding front, through long-range cooperation region. Finally, showed constraints resulted whose size differed markedly matched well-stirred (planktonic) cultures. These findings underscore importance structure cooperation, long-studied features theoretical ecology, for determining fate bacterial exposure. Significance Interactions bacteria are common, particularly crowded surface-associated occur anywhere natural ecosystems human body medical devices. Antibiotic resistance be influenced interactions, making it difficult predict respond antibiotic. show emerge when microbial pathogen, exposed models experiments, local competition dynamic-range cross-protection drive pattern formation. As result, structured differently antibiotics than well-mixed communities. Our elucidate affects communities, step towards predicting controlling resistance.

Language: Английский

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Crossover effects and dynamic scaling properties from Eden growth to diffusion-limited aggregation

Physics Letters A, Journal Year: 2024, Volume and Issue: 508, P. 129494 - 129494

Published: April 12, 2024

Language: Английский

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