ArticleScientific reports2018
Quantifying emergence and self-organisation of Enterobacter cloacae microbial communities.
Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Multifractality of Complex Networks Is Also Due to Geometry: A Geometric Sandbox Algorithm.Entropy (Basel, Switzerland) · 2023Article
- Formation and emergent dynamics of spatially organized microbial systems.Interface focus · 2023Review
- Sexual dimorphism in the relationship between brain complexity, volume and general intelligence (g): a cross-cohort study.Scientific reports · 2022Article
- Editorial: Inference, Causality and Control in Networks of Dynamical Systems: Data Science and Modeling Perspectives to Network Physiology With Implications for Artificial Intelligence.Frontiers in physiology · 2022Article
- Formation, collective motion, and merging of macroscopic bacterial aggregates.PLoS computational biology · 2022Article
- The Fractal Tapestry of Life: II Entailment of Fractional Oncology by Physiology Networks.Frontiers in network physiology · 2022Article
- Controlling the Multifractal Generating Measures of Complex Networks.Scientific reports · 2020Article
- Evaluation of the 3D fractal dimension as a marker of structural brain complexity in multiple-acquisition MRI.Human brain mapping · 2019Article
- Taming the Unknown Unknowns in Complex Systems: Challenges and Opportunities for Modeling, Analysis and Control of Complex (Biological) Collectives.Frontiers in physiology · 2019Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
From microbial communities to cancer cells, many such complex collectives embody emergent and self-organising behaviour. Such behaviour drives cells to develop composite features such as formation of aggregates or expression of specific genes as a result of cell-cell interactions within a cell population. Currently, we lack universal mathematical tools for analysing the collective behaviour of biological swarms. To address this, we propose a multifractal inspired framework to measure the degree of emergence and self-organisation from scarce spatial (geometric) data and apply it to investigate the evolution of the spatial arrangement of Enterobacter cloacae aggregates. In a plate of semi-solid media, Enterobacter cloacae form a spatially extended pattern of high cell density aggregates. These aggregates nucleate from the site of inoculation and radiate outward to fill the entire plate. Multifractal analysis was used to characterise these patterns and calculate dynamics changes in emergence and self-organisation within the bacterial population. In particular, experimental results suggest that the new aggregates align their location with respect to the old ones leading to a decrease in emergence and increase in self-organisation.
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