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Volume 1 · No. 2 · December 2010 V o lu m e 1 · N o ... - IMA Fungus

Volume 1 · No. 2 · December 2010 V o lu m e 1 · N o ... - IMA Fungus

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<strong>IMA</strong> <strong>Fungus</strong> · vo<strong>lu</strong>me 1 · no 2: 155–159<br />

Modelling fungal colonies and communities: challenges and opportunities<br />

Ruth E. Falconer 1* , James L. Bown 2 , Eilidh McAdam 1 , Paco Perez-Reche 3 , Adam T. Sampson 2 , Jan van den Bulcke 4 and Nia A.<br />

White 1<br />

1<br />

SIMBIOS Centre, University of Abertay Dundee, DD1 1HG, Dundee Scotland UK; corresponding author e-mail: r.falconer@abertay.ac.uk<br />

2<br />

Institute for Arts, Media and Computer Games, University of Abertay Dundee, DD1 1HG, Dundee Scotland UK<br />

3<br />

Department of Chemistry, University of Cambridge, Lensfield Road, Cambridge, CB2 1EW, UK<br />

4<br />

Laboratory of Wood Technology, Department of Forest and Water Management, Ghent University and UGCT, University Ghent Centre for X-ray<br />

Tomography, Ghent University, Coupure Links 653, BE-9000 Gent, Belgium<br />

ARTICLE<br />

Abstract: This contribution, based on a Special Interest Group session held during IMC9, focuses on physiological based<br />

models of filamentous fungal colony growth and interactions. Fungi are known to be an important component of ecosystems,<br />

in terms of colony dynamics and interactions within and between trophic levels. We outline some of the essential components<br />

necessary to develop a fungal ecology: a mechanistic model of fungal colony growth and interactions, where observed<br />

behaviour can be linked to underlying function; a model of how fungi can cooperate at larger scales; and novel techniques<br />

for both exploring quantitatively the scales at which fungi operate; and addressing the computational challenges arising from<br />

this highly detailed quantification. We also propose a novel application area for fungi which may provide alternate routes for<br />

supporting scientific study of colony behaviour. This synthesis offers new potential to explore fungal community dynamics<br />

and the impact on ecosystem functioning.<br />

Key words:<br />

foraging<br />

fungal growth<br />

interactions<br />

invasions<br />

mycelia<br />

networks<br />

Article info: Submitted: 30 October <strong>2010</strong>; Accepted: 15 <strong>No</strong>vember <strong>2010</strong>; Published: 18 <strong>No</strong>vember <strong>2010</strong>.<br />

Introduction<br />

Fungi are a central component of the biosphere, essential for<br />

the growth of over 90 % of all vascular plants (Allen 1993),<br />

play an essential role in ecosystem services (Boumans<br />

2002) and it is estimated that there may be as many as 1.5<br />

million species of fungi globally (Hawksworth 1991). Fungi<br />

can impact on the outcome of plants and their enemies<br />

(Bennett et al. 2006) and are a life support network for most<br />

plants (Bardgett et al. 2006). Van der Heijden et al. (1995)<br />

stress the importance of understanding the structure and<br />

function of fungal communities is an important contributor to<br />

the maintenance of plant biodiversity. Development of such<br />

a fungal ecology requires an understanding of the spatiotemporal<br />

growth and interaction dynamics both within fungal<br />

communities and between fungi and plant systems. We<br />

therefore propose that an essential step in understanding the<br />

ecology of fungi is to combine: (1) a physiologically-based<br />

model of fungal community dynamics, capturing colony<br />

growth and interactions, in heterogeneous environments;<br />

(2) non-destructive quantification of community growth<br />

patterns through instrumentation; (3) models linking fungal<br />

communities to plant systems; and (4) next-generation<br />

computational approaches to simulate complex systems at<br />

scales consistent with that instrumentation. Here, we report<br />

on a Special Interest Group meeting held during IMC9 that<br />

considered this agenda and the four components needed to<br />

progress our understanding of fungal ecology. Additionally<br />

the Group considered the notion of fungi as a biological<br />

metaphor for complex management problems.<br />

Modelling fungal community<br />

dynamics<br />

In Falconer et al. (2005, 2007, 2008) we demonstrated the<br />

use of a physiologically-based model to explore the factors<br />

that inf<strong>lu</strong>ence the nature of fungal community diversity and<br />

the link between individual behaviour and the structure and<br />

function of fungal communities. The model is individual-based<br />

and incorporates the essential physiological processes of<br />

nutrient absorption, within colony biomass transport and<br />

recycling, inhibitor production and growth, and these occur<br />

differentially within a single mycelium as a consequence<br />

of local and non-local context. This differential behaviour<br />

permits different parts of the mycelium to expand and senesce<br />

concurrently. This framework was developed to capture the<br />

minimal set of physiological processes required to reproduce<br />

the observed range in phenotypic response in real colonies:<br />

uptake, redistribution of biomass, remobilisation of biomass,<br />

and growth which are known to be important for vegetative<br />

growth of fungi but have not collectively been incorporated<br />

© <strong>2010</strong> International Mycological Association<br />

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Attribution:<br />

You must attribute the work in the manner specified by the author or licensor (but not in any way that suggests that they endorse you or your use of the work).<br />

<strong>No</strong>n-commercial: You may not use this work for commercial purposes.<br />

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For any reuse or distribution, you must make clear to others the license terms of this work, which can be found at http://creativecommons.org/licenses/by-nc-nd/3.0/legalcode. Any of the above conditions can be waived if you get<br />

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v o l u m e 1 · n o . 2 <br />

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