Modelling the emergence of spiral colony morphology in the yeast Magnusiomyces magnusii
Li, K.; Black, A. J.; Knezevic, T.; Gardner, J. M.; Zhang, J.; Jiranek, V.; Green, J. E. F.; Binder, B. J.; Tam, A. K. Y.
Show abstract
Yeast species have several adaptations that enable them to survive in harsh environments. These adaptations include biofilm formation, where the secretion of extracellular polymeric substances can protect the cells from a hostile environment, or, under nutrient-limited conditions, pseudohyphal or hyphal growth, where the colony can send out long tendrils to explore the environment and seek nutrients. Recently, we observed a spiral colony morphology emerge in an isolate of the hyphae-forming yeast Magnusiomyces magnusii grown under laboratory conditions. We use an off-lattice agent-based model (ABM) that simulates colony development to investigate the hypothesis that bias in the angle between successive hyphal segments causes the spiral morphology. The model involves biologically-motivated rules of hyphal extension, with key model parameters including the colony size at the onset of hyphal filaments, and the angle between the penultimate and the apical segments. Using one example of an experimentally-grown colony, we use a sequential neural likelihood method to perform likelihood-free Bayesian inference to infer the model parameters. Our results indicate a mean angle between hyphal segments of 2.3{whitebullet} [1.1{whitebullet}, 3.6{whitebullet}] (95% credible interval). To confirm the models applicability to colony growth, we use biologically-feasible parameter values to yield morphologies observed in M. magnusii experiments.
Matching journals
The top 4 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- An off-lattice discrete model to characterise filamentous yeast colony morphology 98%
- Mathematical modeling of the Candida albicans yeast to hyphal transition reveals novel control strategies 96%
- Is it selfish to be filamentous in biofilms? Individual-based modeling links microbial growth strategies with morphology using the new and modular iDynoMiCS 2.0 95%
Similar papers in this journal
- Smart self-propelled particles: a framework to investigate the cognitive bases of movement 95%
- Random walks with spatial and temporal resets may underlie searching movements in ants 94%
- Modular Dynamic Biomolecular Modelling with Bond Graphs: The Unification of Stoichiometry, Thermodynamics, Kinetics and Data. 94%
Similar papers in this journal
- Probing Patterning in Microbial Consortia with picCASO: a Cellular Automaton for Spatial Organisation 94%
- Emerging strains of watermelon mosaic virus in Southeastern France: model-based estimation of the dates and places of introduction 93%
- Polarity and mixed-mode oscillations may underlie different patterns of cellular migration 93%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.