Department of Plant Sciences, University of Oxford, Oxford, OX1 3RB, United Kingdom.
Mathematics Department, Imperial College, Queen's Gate, London SW7 2AZ, United Kingdom.
Microbiol Spectr. 2017 May;5(3). doi: 10.1128/microbiolspec.FUNK-0033-2017.
The characteristic growth pattern of fungal mycelia as an interconnected network has a major impact on how cellular events operating on a micron scale affect colony behavior at an ecological scale. Network structure is intimately linked to flows of resources across the network that in turn modify the network architecture itself. This complex interplay shapes the incredibly plastic behavior of fungi and allows them to cope with patchy, ephemeral resources, competition, damage, and predation in a manner completely different from multicellular plants or animals. Here, we try to link network structure with impact on resource movement at different scales of organization to understand the benefits and challenges of organisms that grow as connected networks. This inevitably involves an interdisciplinary approach whereby mathematical modeling helps to provide a bridge between information gleaned by traditional cell and molecular techniques or biophysical approaches at a hyphal level, with observations of colony dynamics and behavior at an ecological level.
真菌菌丝作为相互连接的网络的特征生长模式对细胞事件如何在微米尺度上影响菌落行为在生态尺度上有重大影响。网络结构与资源在网络中的流动密切相关,而资源的流动又反过来改变网络结构本身。这种复杂的相互作用塑造了真菌令人难以置信的可塑性行为,使它们能够以与多细胞植物或动物完全不同的方式应对零散的、短暂的资源、竞争、损伤和捕食。在这里,我们试图将网络结构与不同组织层次上资源流动的影响联系起来,以了解作为互联网络生长的生物体的优势和挑战。这不可避免地需要一种跨学科的方法,其中数学建模有助于在传统的细胞和分子技术或菌丝水平的生物物理方法所获得的信息,与菌落动态和生态水平的行为观察之间架起桥梁。