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真菌中的相互作用建模。

Modelling interactions in fungi.

作者信息

Falconer Ruth E, Bown James L, White Nia A, Crawford John W

机构信息

SIMBIOS Centre, University of Abertay, Dundee DD1 1HG, UK.

出版信息

J R Soc Interface. 2008 Jun 6;5(23):603-15. doi: 10.1098/rsif.2007.1210.

Abstract

Indeterminate organisms have received comparatively little attention in theoretical ecology and still there is much to be understood about the origins and consequences of community structure. The fungi comprise an entire kingdom of life and epitomize the indeterminate growth form. While interactions play a significant role in shaping the community structure of indeterminate organisms, to date most of our knowledge relating to fungi comes from observing interaction outcomes between two species in two-dimensional arena experiments. Interactions in the natural environment are more complex and further insight will benefit from a closer integration of theory and experiment. This requires a modelling framework capable of linking genotype and environment to community structure and function. Towards this, we present a theoretical model that replicates observed interaction outcomes between fungal colonies. The hypotheses underlying the model propose that interaction outcome is an emergent consequence of simple and highly localized processes governing rates of uptake and remobilization of resources, the metabolic cost of production of antagonistic compounds and non-localized transport of internal resources. The model may be used to study systems of many interacting colonies and so provides a platform upon which the links between individual-scale behaviour and community-scale function in complex environments can be built.

摘要

在理论生态学中,不确定生物受到的关注相对较少,关于群落结构的起源和影响仍有许多有待了解之处。真菌构成了一个完整的生命王国,是不确定生长形式的典型代表。虽然相互作用在塑造不确定生物的群落结构中起着重要作用,但迄今为止,我们关于真菌的大部分知识都来自于在二维实验场地中观察两个物种之间的相互作用结果。自然环境中的相互作用更为复杂,更深入的见解将受益于理论与实验的更紧密结合。这需要一个能够将基因型和环境与群落结构和功能联系起来的建模框架。为此,我们提出了一个理论模型,该模型能够复制观察到的真菌菌落之间的相互作用结果。该模型所基于的假设提出,相互作用结果是由控制资源摄取和再利用速率、拮抗化合物产生的代谢成本以及内部资源的非局部运输的简单且高度局部化过程所产生的一种涌现结果。该模型可用于研究许多相互作用菌落的系统,因此提供了一个平台,在此基础上可以建立复杂环境中个体尺度行为与群落尺度功能之间的联系。

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