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The neighbour-sensing mathematical model of hyphal growth is a set of
interactive Across the many fields concerned with interactivity, including information science, computer science, human-computer interaction, communication, and industrial design, there is little agreement over the meaning of the term "interactivity", but mo ...
computer models Computer simulation is the running of a mathematical model on a computer, the model being designed to represent the behaviour of, or the outcome of, a real-world or physical system. The reliability of some mathematical models can be determin ...
that simulate the way
fungi A fungus (: fungi , , , or ; or funguses) is any member of the group of eukaryotic organisms that includes microorganisms such as yeasts and mold (fungus), molds, as well as the more familiar mushrooms. These organisms are classified as one ...
hyphae A hypha (; ) is a long, branching, filamentous structure of a fungus, oomycete, or actinobacterium. In most fungi, hyphae are the main mode of vegetative growth, and are collectively called a mycelium. Structure A hypha consists of one o ...
grow in three-dimensional space. The three-dimensional simulation is an experimental tool which can be used to study the
morphogenesis Morphogenesis (from the Greek ''morphê'' shape and ''genesis'' creation, literally "the generation of form") is the biological process that causes a cell, tissue or organism to develop its shape. It is one of three fundamental aspects of deve ...
of fungal hyphal networks. The modelling process starts with the proposition that each hypha in the fungal
mycelium Mycelium (: mycelia) is a root-like structure of a fungus consisting of a mass of branching, thread-like hyphae. Its normal form is that of branched, slender, entangled, anastomosing, hyaline threads. Fungal colonies composed of mycelium are fo ...
generates a certain abstract field that, like known physical fields, decreases with increasing distance. Both scalar and vector fields are included in the models. The field(s) and its (their) gradient(s) are used to inform the algorithm that calculates the likelihood of branching, the angle of branching and the growth direction of each hyphal tip in the simulated mycelium. The growth vector is being informed of its surroundings. The virtual hyphal tip is 'sensing' the neighbouring mycelium; thus, it is called the neighbour-sensing model. Cross-walls in living hyphae are formed only at right angles to the long axis of the hypha. A daughter hyphal apex can only arise if a branch is initiated. So, for fungi, hyphal branch formation is the equivalent of cell division in animals, plants, and protists. The position of origin of a branch and its direction and rate of growth are the main formative events in the development of fungal tissues and organs. Consequently, by simulating the mathematics of the control of hyphal growth and branching, the neighbour-sensing model provides the user with a way of experimenting with features that may regulate hyphal growth patterns during morphogenesis to arrive at suggestions that could be tested with live fungi. The model was proposed by Audrius Meškauskas and David Moore in 2004, and developed using the
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facilities of the
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. The key idea of this model is that all parts of the fungal mycelium have identical field generation systems, field sensing mechanisms and growth direction-altering algorithms. Under properly chosen model parameters, it is possible to observe the transformation of the initial unordered mycelium structure into various forms, some of which are natural-like fungal fruit bodies and other complex structures. In one of the simplest examples, it is assumed that the hyphal tips try to keep a 45-degree orientation with relation to the Earth’s gravity vector field, and also generate some kind of scalar field that the growing tips try to avoid. This combination of parameters leads to the development of hollow conical structures, similar to the fruit bodies of some primitive fungi. In another example, the hypha generates a vector field parallel to the hyphal axis, and the tips tend to turn parallel to that field. After more tips turn in the same direction, their hyphae form a stronger directional field. In this way, it is possible to observe the spontaneous orientation of growing hypha in a single direction, which simulates the strands, cords and rhizomorphs produced by many species of fungi in nature. The parameters under which the model operates can be changed during its execution. This allows a greater variety of structures to be formed (including mushroom-like shapes) and may be supposed to simulate cases where the growth strategy depends on an internal biological clock. The neighbour-sensing model explains how various fungal structures may arise because of the ‘crowd behaviour’ (convergence) of the community of hyphal tips that make up the mycelium.


Literature

* Meškauskas A, Fricker M.D, Moore D (2004). Simulating colonial growth of fungi with the neighbour-sensing model of hyphal growth. ''Mycological research'', 108, 1241-1256
pdf
* Meškauskas, A., McNulty, Moore, D. (2004). Concerted regulation of tropisms in all hyphal tips is sufficient to generate most fungal structures. ''Mycological research'', 108, 341-353
pdf
* Money NP. (2004) Theoretical biology: mushrooms in cyberspace. ''Nature'', 431(7004):32
link
* Davidson A.F, Boswell G.P., Fischer M.W.F, Heaton L., Hofstadler D, Roper M. (2011). ''IMA Fungus''. 2(1): 33–37
NCBI link


Additional links

Further details are available from these websites

(primary) an

(mirror). The programs, with extensive documentation, are distributed as freeware by both these sites.


Notes

Developmental biology Mycology Theoretical computer science Crowds