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具有超感染的无性繁殖植物在晶格空间中的病原体传播模型。

Pathogen Propagation Model with Superinfection in Vegetatively Propagated Plants on Lattice Space.

作者信息

Sakai Yuma, Takada Takenori

机构信息

Graduate School of Environmental Science, Hokkaido University, Sapporo, Hokkaido, Japan.

Graduate School of Environmental Earth Science, Hokkaido University, Sapporo, Hokkaido, Japan.

出版信息

PLoS One. 2016 May 5;11(5):e0154883. doi: 10.1371/journal.pone.0154883. eCollection 2016.

Abstract

Many clonal plants have two reproductive patterns, seed propagation and vegetative propagation. By vegetative propagation, plants reproduce the genetically identical offspring with a low mortality, because resources are supplied from the other individuals through interconnected ramets at vegetative-propagated offspring. However, the ramets transport not only resources but also systemic pathogen. Pathogens evolve to establish and spread widely within the plant population. The superinfection, which is defined as the ability that an established pathogen spreads widely by infecting to already-infected individuals with other strains of a pathogen, is important to the evolution of pathogens. We examine the dynamics of plant reproduction and pathogen propagation considering spatial structure and the effect of superinfection on genetic diversity of pathogen by analysis of several models, 1-strain and multiple-strain models, on two-dimensional square lattice. In the analysis of 1-strain model, we derive equilibrium value by mean-field approximation and pair approximation, and its local stability by Routh-Hurwitz stability criterion. In the multiple-strain models, we analyze the dynamics by numerical simulation of mean-field approximation, pair approximation and Monte Carlo simulation. Through the analyses, we show the effect of parameter values to dynamics of models, such as transition of dominant strain of pathogen, competition between plants and pathogens and density of individuals. As a result, (i) The strain with intermediate cost becomes dominant when both superinfection rate and growth rate are low. (ii) The competition between plants and pathogens occurs in the phase of coexistence of various strains by pair approximation and Monte Carlo simulation. (iii) Too high growth rate leads to the decrease of plant population in all models. (iv) Pathogens are easy to maintain their genetic diversity with low superinfection rate. However, if they do not superinfect, the maintenance becomes difficult. (v) When growth rate of plant is low, individuals are very influenced by distant individuals.

摘要

许多克隆植物有两种繁殖方式,即种子繁殖和营养繁殖。通过营养繁殖,植物能以较低的死亡率繁殖出基因相同的后代,因为营养繁殖的后代通过相互连接的分株从其他个体获取资源。然而,分株不仅运输资源,还传播系统性病原体。病原体不断进化,在植物种群中得以建立并广泛传播。超级感染(即已建立的病原体通过感染已被其他病原体菌株感染的个体而广泛传播的能力)对病原体的进化很重要。我们通过分析二维方格上的几种模型(单菌株模型和多菌株模型),研究了考虑空间结构以及超级感染对病原体遗传多样性影响的植物繁殖和病原体传播动态。在单菌株模型分析中,我们通过平均场近似和对近似推导平衡值,并根据劳斯 - 赫尔维茨稳定性判据确定其局部稳定性。在多菌株模型中,我们通过平均场近似、对近似和蒙特卡罗模拟的数值模拟来分析动态。通过这些分析,我们展示了参数值对模型动态的影响,如病原体优势菌株的转变、植物与病原体之间的竞争以及个体密度。结果如下:(i)当超级感染率和生长率都较低时,具有中等成本的菌株会占主导地位。(ii)通过对近似和蒙特卡罗模拟可知,植物与病原体之间的竞争发生在各种菌株共存阶段。(iii)在所有模型中,过高的生长率会导致植物种群数量减少。(iv)病原体在超级感染率较低时易于维持其遗传多样性。然而,如果它们不发生超级感染,维持就会变得困难。(v)当植物生长率较低时,个体受远处个体的影响很大。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f1a0/4858194/112cb56707f9/pone.0154883.g001.jpg

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