A mathematical model of nutrient influence on fungal competition

Choudhury, Mitali; Trevelyan, P. M. J.; Boswell, Graeme P.

doi:10.1016/j.jtbi.2017.11.006

Journal of Theoretical Biology

2018

DOI: 10.1016/j.jtbi.2017.11.006

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A mathematical model of nutrient influence on fungal competition

Mitali Choudhury

P. M. J. Trevelyan

Graeme P. Boswell

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Cited by 7 publications

(13 citation statements)

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“…To our knowledge, only seven theoretical models of interspecific interactions between filamentous fungi have appeared in the literature, a surprisingly small number for a whole kingdom of life [12,9,4,10,3,7,17]. Three of these models require running simulations [12,4,17].…”

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confidence: 99%

“…Three of these models require running simulations [12,4,17]. The other four are relatively detailed PDE models, and no prediction of empirical dynamics was attempted by the authors [9,10,3,7]. The first of these PDE models is a system of two PDEs, with one PDE for the concentration of an activator (in the fungal mycelia), and the other for the concentration of a nutrient substrate [9].…”

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confidence: 99%

“…Thus, the model is relatively detailed, and limited to only two mycelia on one spatial dimension. Based on the third model [3], the fourth PDE model is also limited to two heterospecific mycelia competing on a single spatial dimension [7].…”

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confidence: 99%

“…Last but not least, there is no way to identify distinct model mycelia of a species with one PDE, and hence it is difficult to extend the present PDE models by relating the extension and replacement rates with, e.g., the individual mycelium cover which has been shown to influence the interaction outcomes and the theoretical predictions of empirical community dynamics [15,17]. An alternative approach would be to model each mycelium with a separate PDE, but this would lead to more involved models, such as previous PDE models on interspecific fungal interactions [9,10,3,7].…”

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confidence: 99%

“…It is apparent that this model would be more challenging to parameterise and solve in order to predict empirical community dynamics of multiple mycelia of different species, in comparison to the present PDE model. One way to circumvent these parameterisation and computation challenges was followed in other PDE models [3,7], in which space is reduced to one dimension (1-D), so that mycelia interact on a line. To predict empirical community dynamics, this model must be generalised to 2-D and 3-D, likely making it computationally expensive as well.…”

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confidence: 99%

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Modelling fungal competition for space:Towards prediction of community dynamics

Kiziridis¹,

Fowler²,

Chen³

2017

Discrete &Amp; Continuous Dynamical Systems - B

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Filamentous fungi contribute to ecosystem and human-induced processes such as primary production, bioremediation, biogeochemical cycling and biocontrol. Predicting the dynamics of fungal communities can hence improve our forecasts of ecological processes which depend on fungal community structure. In this work, we aimed to develop simple theoretical models of fungal interactions with ordinary and partial differential equations, and to validate model predictions against community dynamics of a three species empirical system. We found that space is an important factor for the prediction of community dynamics, since the performance was poor for models of ordinary differential equations assuming well-mixed nutrient substrate. The models of partial differential equations could satisfactorily predict the dynamics of a single species, but exhibited limitations which prevented the prediction of empirical community dynamics. One such limitation is the arbitrary choice of a threshold local density above which a fungal mycelium is considered present in the model. In conclusion, spatially explicit simulation models, able to incorporate different factors influencing interaction outcomes and hence dynamics, appear as a more promising direction towards prediction of fungal community dynamics.2010 Mathematics Subject Classification. Primary: 92B05; Secondary: 34A34, 35Q92, 92D40.

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confidence: 99%

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confidence: 99%

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confidence: 99%

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confidence: 99%

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confidence: 99%

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Modelling fungal competition for space:Towards prediction of community dynamics

Kiziridis¹,

Fowler²,

Chen³

2017

Discrete &Amp; Continuous Dynamical Systems - B

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Predicting fungal community dynamics driven by competition for space

et al. 2019

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Predicting fungal community dynamics requires methods combining theory with experiments. Different elements of spatial competition influence interaction outcomes, and consequently community dynamics. Despite the literature on such elements, no theoretical study has tested the predictability of dynamics with models incorporating these elements. We aimed to develop a method for predicting dynamics, to be tested first under laboratory conditions. Six spatial competition elements were quantified for three basidiomycete species on agar. We found: constant extension; extension unaffected by other mycelia; faster replacement of younger mycelial regions; faster replacement of smaller mycelia; uniform distribution of mycelial competitive ability across the boundary with heterospecifics; and additive effects of competition. We developed a lattice model, and found that incorporation of all experimentally quantified elements was necessary for accurate prediction of dynamics. Our study provides a methodological basis for prediction of fungal dynamics, and hence of ecosystem processes in which filamentous fungi are key players.

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Experimental Analysis of Interactions Among Saprotrophic Fungi from A Phosphorous-Poor Desert Oasis in the Chihuahuan Desert

et al. 2020

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Fungal ecological interactions play a key role in structuring community assemblages. These associations may involve both antagonistic and synergistic relationships, which are commonly influenced by abiotic factors such as nutrient conditions. However, information for extreme, oligotrophic systems remain poor. Herein, interactions among key members of the aquatic transient fungal community (Aspergillus niger, Cladosporium sp., and Coprinellus micaceus) of a low-nutrient freshwater system in the Cuatro Ci enegas Basin, Mexico were studied. Pairwise interaction bioassays were explored in vitro under different nutrient conditions, including carbohydrates-rich, carbohydrates and amino peptides-rich, and low nutrients. Our results indicated that antagonistic patterns prevail among the studied taxa. However, nutrient-dependent changes were observed in Cladosporium sp. shifting to synergy under carbohydrates-rich conditions, suggesting changes in the fungal community composition as a result of nutrient enrichment. Remarkably, our findings contrast with previous work demonstrating mainly synergistic interactions between our tested fungal isolates and co-occurring autochthonous bacteria (Aeromonas spp. and Vibrio sp.) under low-nutrient conditions. This observation may indicate that bacteria and fungi exhibit distinct community-level responses, driven by nutrient conditions. This contributes to the knowledge of fungal community dynamics and interspecific interactions in an oligotrophic ecosystem, highlighting the relevance of nutrient-based shifts and antagonistic interactions in ecosystem dynamics.

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A mathematical model of nutrient influence on fungal competition

Cited by 7 publications

References 56 publications

Modelling fungal competition for space:Towards prediction of community dynamics

Modelling fungal competition for space:Towards prediction of community dynamics

Predicting fungal community dynamics driven by competition for space

Experimental Analysis of Interactions Among Saprotrophic Fungi from A Phosphorous-Poor Desert Oasis in the Chihuahuan Desert

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