Literature DB >> 22159730

Modeling the spread of Phytophthora.

A Henkel1, J Müller, C Pötzsche.   

Abstract

We consider a model for the morphology and growth of the fungus-like plant pathogen Phytophthora using the example of Phytophthora plurivora. Here, we are utilizing a correlated random walk describing the density of tips. This random walk incorporates a delay in branching behavior: newly split tips only start to grow after a short while. First, we question the effect of such a delay on the running fronts, for uniform- as well as non-uniform turning kernels. We find that this delay primarily influences the slope of the front and therewith the way of spatial appropriation, and not its velocity. Our theoretical predictions are confirmed by the growth of Phytophthora in concrete experiments performed in Petri dishes. The second question addressed in this paper, concerns the manner tips are interacting, especially the point why tips stop to grow "behind" the interface of the front, respectively in confrontation experiments at the interface between two colonies. The combination of experimental data about the spatially structured time course of the glucose concentration and simulations of a model taking into account both, tips and glucose, reveals that nutrient depletion is most likely the central mechanism of tip interaction and hyphal growth inhibition. We presume that this is the growing mechanism for our kind of Phytophthora in infected plant tissue. Thus, the pathogen will sap its hosts via energy depletion and tissue destruction in infected areas.

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Year:  2011        PMID: 22159730     DOI: 10.1007/s00285-011-0492-7

Source DB:  PubMed          Journal:  J Math Biol        ISSN: 0303-6812            Impact factor:   2.259


  15 in total

Review 1.  Genomics of biotrophy in fungi and oomycetes--emerging patterns.

Authors:  Pietro Spanu; Jörg Kämper
Journal:  Curr Opin Plant Biol       Date:  2010-04-27       Impact factor: 7.834

Review 2.  Oomycete-plant coevolution: recent advances and future prospects.

Authors:  Marco Thines; Sophien Kamoun
Journal:  Curr Opin Plant Biol       Date:  2010-05-04       Impact factor: 7.834

3.  Parameterization and evaluation of a spatiotemporal model of the potato late blight pathosystem.

Authors:  P Skelsey; G J T Kessel; W A H Rossing; W van der Werf
Journal:  Phytopathology       Date:  2009-03       Impact factor: 4.025

4.  Disease spread in small-size directed networks: epidemic threshold, correlation between links to and from nodes, and clustering.

Authors:  Mathieu Moslonka-Lefebvre; Marco Pautasso; Mike J Jeger
Journal:  J Theor Biol       Date:  2009-06-21       Impact factor: 2.691

5.  Applying dimorphic yeasts as model organisms to study mycelial growth: part 2. Use of mathematical simulations to identify different construction principles in yeast colonies.

Authors:  Thomas Walther; Holger Reinsch; Kai Ostermann; Andreas Deutsch; Thomas Bley
Journal:  Bioprocess Biosyst Eng       Date:  2010-06-15       Impact factor: 3.210

6.  Changes in susceptibility of beech (Fagus sylvatica) seedlings towards Phytophthora citricola under the influence of elevated atmospheric CO2 and nitrogen fertilization.

Authors:  F Fleischmann; S Raidl; W F Osswald
Journal:  Environ Pollut       Date:  2009-10-31       Impact factor: 8.071

7.  Photosynthetic and leaf water potential responses of Alnus glutinosa saplings to stem-base inoculaton with Phytophthora alni subsp. alni.

Authors:  Christian Clemenz; Frank Fleischmann; Karl-Heinz Häberle; Rainer Matyssek; Wolfgang Osswald
Journal:  Tree Physiol       Date:  2008-11       Impact factor: 4.196

8.  Concerted regulation of all hyphal tips generates fungal fruit body structures: experiments with computer visualizations produced by a new mathematical model of hyphal growth.

Authors:  Audrius Meskauskas; Liam J McNulty; David Moore
Journal:  Mycol Res       Date:  2004-04

9.  Mathematical modelling of fungal growth and function.

Authors:  Fordyce A Davidson; Graeme P Boswell; Mark W F Fischer; Luke Heaton; Daniel Hofstadler; Marcus Roper
Journal:  IMA Fungus       Date:  2011-05-13       Impact factor: 3.515

Review 10.  Computational models in plant-pathogen interactions: the case of Phytophthora infestans.

Authors:  Andrés Pinzón; Emiliano Barreto; Adriana Bernal; Luke Achenie; Andres F González Barrios; Raúl Isea; Silvia Restrepo
Journal:  Theor Biol Med Model       Date:  2009-11-12       Impact factor: 2.432

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