Evolution of altruistic defense traits in structured populations
结构化人群中利他防御特征的演变
基本信息
- 批准号:221620745
- 负责人:
- 金额:--
- 依托单位:
- 依托单位国家:德国
- 项目类别:Priority Programmes
- 财政年份:2012
- 资助国家:德国
- 起止时间:2011-12-31 至 2020-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
In the first project phase we investigated under which conditions an inheritable behavioral trait of defense against parasites can spread in a structured population even if it is costly in the sense that individuals having a defense gene tend to have less offspring. In this proposed continuation project we study in a many-demes limit the time until the first fixation of a defense allele arising from rare mutations. We are going to show that this time to first fixation is logarithmic in the inverse mutation rate. So even for small mutation rates defense traits can appear on an evolutionary relevant time scale. Mathematically our central contribution is to prove and generalize the results of Dawson and Greven (2011) without using dual processes for a large class of processes. Moreover we are going to simulate our model on a two-dimensional lattice with nearest-neighbour migration. This will show whether our results for the many-demes limit also apply to biologically more relevant population structures.
在项目的第一阶段,我们调查了在何种条件下,一种可遗传的防御寄生虫的行为特征可以在一个结构化的群体中传播,即使它是昂贵的,因为具有防御基因的个体往往会有更少的后代。在这个建议的延续项目中,我们研究了在多个领域中,直到罕见突变产生的防御等位基因的第一次固定的时间限制。我们将证明,第一次固定的时间是逆突变率的对数。因此,即使是很小的突变率,防御特征也可能出现在进化相关的时间尺度上。在数学上,我们的主要贡献是证明和推广Dawson和Greven(2011)的结果,而不使用大类过程的对偶过程。此外,我们将模拟我们的模型在一个二维晶格与最近邻迁移。这将表明我们的结果多demes限制也适用于生物学上更相关的人口结构。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Professor Dr. Martin Hutzenthaler其他文献
Professor Dr. Martin Hutzenthaler的其他文献
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{{ truncateString('Professor Dr. Martin Hutzenthaler', 18)}}的其他基金
On numerical approximations of high-dimensional nonlinear parabolic partial differential equations and of backward stochastic differential equations
高维非线性抛物型偏微分方程和倒向随机微分方程的数值逼近
- 批准号:
381158774 - 财政年份:2017
- 资助金额:
-- - 项目类别:
Research Grants
The effect of natural selection on genealogies
自然选择对谱系的影响
- 批准号:
285170854 - 财政年份:2015
- 资助金额:
-- - 项目类别:
Priority Programmes
Numerical approximation of stochastic differential equations with non-globally Lipschitz continuous coefficients
具有非全局 Lipschitz 连续系数的随机微分方程的数值逼近
- 批准号:
219293315 - 财政年份:2012
- 资助金额:
-- - 项目类别:
Research Grants
Deep neural networks overcome the curse of dimensionality in the numerical approximation of stochastic control problems and of semilinear Poisson equations
深度神经网络克服了随机控制问题和半线性泊松方程数值逼近中的维数灾难
- 批准号:
464101154 - 财政年份:
- 资助金额:
-- - 项目类别:
Priority Programmes
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