Growth of Yeast Colonies on Solid Media

Kamath, Ravindranath S.; Bungay, Henry R.

doi:10.1099/00221287-134-11-3061

Cited by 22 publications

(23 citation statements)

References 18 publications

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“…LB media prepared with increasing concentrations of additional carbon source (dextrose) resulted in a slower radial growth rate for E. coli K12 after 15 h of incubation. Several other studies also reported similar observations for Aerobacter aerogenes [1], Serratia liquefaciens on minimal AgroBacterium (AB) medium [11], and Candida utilis on glucose (l%), peptone (0.5%) and yeast extract (0.5%) media [12]. Some also explain this as the adverse effect of excess nutrition [1] while others show the dramatic changes (30 times different for tryptone soya broth and acetate-salts) in radial growth rates depending on the types of nutrition [7].…”

Section: Discussionsupporting

confidence: 52%

“…The effect of agar concentration on brain heart infusion (BHI) media for Bacillus subtilis had shown two important findings: (i) smaller mean diameter for higher concentration of agar and (ii) lower radial growth rate as the distance from colony to the nutrient increases [8][9][10][11]. Furthermore, a direct profile measurement versus the nutritional level on yeast colonies was described where radial growth rate was reported to be less sensitive than the height growth rate to the initial glucosse concentration [12].…”

Section: Biophotonicsmentioning

confidence: 99%

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On the sensitivity of forward scattering patterns from bacterial colonies to media composition

Bae¹,

Aroonnual²,

Bhunia

et al. 2011

Journal of Biophotonics

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Morphology of colonies is important for taxonomy and diagnostics in microbiology where the response to environmental factors is sensitive enough to support discrimination. In this research, we analyzed the forward scattering patterns of individual Escherichia coli K12 colonies when agar hardness and nutrition levels were varied from the control sample. As the agar concentration increased from 1.2% to 1.8%, the diameter of the forward scattering patterns also increased for the same experimental condition which reflects that the colony thickness at the apex is greater for increased agar concentrations. Regarding nutrition, increasing dextrose resulted in smaller mean colony diameters while the mean diameters of the colonies were proportional to the yeast extract concentration up to 0.5%. The result reveals that ±0.3% agar concentration from the control sample is sufficient to create variations in the scattering patterns. For nutrition -0.25% of yeast extract showed significant variations while +0.25% from control sample showed minimal variations.

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Section: Discussionsupporting

confidence: 52%

Section: Biophotonicsmentioning

confidence: 99%

On the sensitivity of forward scattering patterns from bacterial colonies to media composition

Bae¹,

Aroonnual²,

Bhunia

et al. 2011

Journal of Biophotonics

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“…Growth rates, r, were obtained by fitting simulated single-strain curves to experimental control data for the S strain without induction by MitC and assuming a simple linear relationship between area growth and microscopic growth rates [45] (S2 Table, S9B Fig). The lysis rate of C on cells adopted here was suggested by earlier experimental findings [30].…”

Section: Methodsmentioning

confidence: 99%

Effects of stochasticity and division of labor in toxin production on two-strain bacterial competition in Escherichia coli

et al. 2017

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In phenotypically heterogeneous microbial populations, the decision to adopt one or another phenotype is often stochastically regulated. However, how this stochasticity affects interactions between competing microbes in mixed communities is difficult to assess. One example of such an interaction system is the competition of an Escherichia coli strain C, which performs division of labor between reproducers and self-sacrificing toxin producers, with a toxin-sensitive strain S. The decision between reproduction or toxin production within a single C cell is inherently stochastic. Here, combining experimental and theoretical approaches, we demonstrate that this stochasticity in the initial phase of colony formation is the crucial determinant for the competition outcome. In the initial phase (t < 12h), stochasticity influences the formation of viable C clusters at the colony edge. In the subsequent phase, the effective fitness differences (set primarily by the degree of division of labor in the C strain population) dictate the deterministic population dynamics and consequently competition outcome. In particular, we observe that competitive success of the C strain is only found if (i) a C edge cluster has formed at the end of the initial competition phase and (ii) the beneficial and detrimental effects of toxin production are balanced, which is the case at intermediate toxin producer fractions. Our findings highlight the importance of stochastic processes during the initial phase of colony formation, which might be highly relevant for other microbial community interactions in which the random choice between phenotypes can have long-lasting consequences for community fate.

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“…Classical ordinary differential equation (ODE) models have been shown to recapitulate colony diameter and height as a function of time (Kamath and Bungay, 1988; Pipe and Grimson, 2008; Pirt, 1967; Rieck et al, 1973). Agent-based models have successfully shown how colony morphology arises as an emergent property of the behavior of individual cells or clusters of cells (Ben-Jacob et al, 1998; Kreft et al, 1998, 2001; Xavier et al, 2005).…”

Section: Introductionmentioning

confidence: 99%

Metabolic Resource Allocation in Individual Microbes Determines Ecosystem Interactions and Spatial Dynamics

et al. 2014

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Summary The inter-species exchange of metabolites plays a key role in the spatio-temporal dynamics of microbial communities. This raises the question whether ecosystem-level behavior of structured communities can be predicted using genome-scale models of metabolism for multiple organisms. We developed a modeling framework that integrates dynamic flux balance analysis with diffusion on a lattice, and applied it to engineered consortia. First, we predicted, and experimentally confirmed, the species-ratio to which a 2-species mutualistic consortium converges, and the equilibrium composition of a newly engineered 3-member community. We next identified a specific spatial arrangement of colonies, which gives rise to what we term the “eclipse dilemma”: does a competitor placed between a colony and its cross-feeding partner benefit or hurt growth of the original colony? Our experimentally validated finding, that the net outcome is beneficial, highlights the complex nature of metabolic interactions in microbial communities, while at the same time demonstrating their predictability.

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Growth of Yeast Colonies on Solid Media

Cited by 22 publications

References 18 publications

On the sensitivity of forward scattering patterns from bacterial colonies to media composition

On the sensitivity of forward scattering patterns from bacterial colonies to media composition

Effects of stochasticity and division of labor in toxin production on two-strain bacterial competition in Escherichia coli

Metabolic Resource Allocation in Individual Microbes Determines Ecosystem Interactions and Spatial Dynamics

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