Analysis of spatial patterns in a growing yeast network
Abstract
We present an analysis of the spatial distribution of two types of growing yeast network: S. cerevisiae and C. albicans, which are necessary in biomedical research to break yeast infections. Using agent-based modeling and simple imaging setup and yeast culture protocol, we compare the simulation and experimental distribution of the two types of yeast. We found a transition from a circular to branched distribution as the consumption rate, ε inceases from 1 to 100. Moreover, S. cerevisiae and C. albicans exhibits circular and branched distribution, respectively. This implies that the latter type of yeast consumes more nutrient than the other. We also found that clustering among growing yeasts is very visible especially in circular networks. The clustering effect in circular pattern immediately propagates information. However, no concrete results were observed on branching networks since it has poor clustering.