New approaches for the modelling of speciation

物种形成建模的新方法

• 批准号: 7900259
• 负责人: SERGEY Y GAVRILETS
• 金额: $ 10万
• 依托单位: UNIVERSITY OF TENNESSEE KNOXVILLE
• 依托单位国家: 美国
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-08-13 至 2010-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7900259
• 关键词: Accounting; Affect; Aphids; Behavior; Biodiversity; Biological; Biology; Caribbean region; Cichlids; Data; Development; Evolution; Foundations; Genetic; Genomics; Health; Human; Link; Lizards; Maintenance; Mathematics; Methods; Modeling; Molecular; Organism; Phylogeny; Physics; Pisum sativum; Population; Population Dynamics; Population Genetics; Process; Radiation; Recording of previous events; Research Personnel; Spiders; Statistical Methods; Statistical Models; Structure; System; Work; analytical method; base; comparative; improved; mathematical model; mathematical theory; novel strategies; pathogen; programs; simulation; theories; tool; trait

DESCRIPTION (provided by applicant): The overall aim of this project is to better understand biological evolution, speciation, and diversification through a study of the dynamic (and static) behavior of various mathematical models describing populations, species and clades. Using a combination of analytical methods and extensive numerical simulations, a number of mathematical models of evolutionary diversification taking into account various factors operating in natural populations will be studied. Both standard population genetics approaches and novel methods recently developed in theoretical evolutionary biology, mathematics, and physics will be used. This project has 3 interrelated specific aims. 1. Build mathematical foundations of a general theory of speciation, develop a mathematical theory of adaptive radiations, and formulate and study mathematical models linking evolutionary processes at different spatial and temporal scales (from speciation to adaptive radiation to macro evolutionary patters). 2. Establish closer connections between theory and empirical data through a better understanding of the implications of theoretical results for speciation in specific groups of organisms, exploration of how dynamical models of speciation can guide the development of statistical methods and hypotheses utilizing emerging comparative genomic data, and examination of how the data on molecular phylogenies and spatial range distributions can be used to infer the history of speciation and clade diversification. 3. Study the coevolutionary dynamics using explicit genetic and spatial models to analyze how antagonistic and mutualistic within- and between-species interactions depending on many loci and traits affect the evolutionary dynamics of populations in panmictic and spatially-structured systems. The studies proposed here may improve our understanding of the mechanisms responsible for the origin and maintenance of biodiversity and may be important for understanding and controlling the dynamics of host-pathogen interactions affecting human health.

描述（由申请人提供）：该项目的总体目的是通过研究描述种群，物种和进化枝的各种数学模型的动态（和静态）行为，以更好地了解生物学进化，物种形成和多样化。使用分析方法和广泛的数值模拟的组合，将研究许多在自然种群中运行的因素的进化多样性的数学模型。标准种群遗传学方法和最近在理论进化生物学，数学和物理学中开发的新方法。该项目具有3个相互关联的特定目标。 1。建立数学基础的形成形成理论，发展自适应辐射的数学理论，并制定和研究与不同空间和时间尺度上进化过程（从形成到适应性辐射到宏观进化模式）的数学模型。 2。通过更好地理解理论结果对特定生物体的物种形成的含义，建立更紧密的联系，探索形成的动态模型如何指导统计方法的发展和假设利用出现的比较基因组数据的发展，以及如何对分子形成的分布和散布分布的数据进行研究，可以使用推断分布范围。 3。使用明确的遗传和空间模型研究协同进化的动力学，以分析根据许多基因座和特征的拮抗性和相互作用的内部和种子之间的相互作用如何影响泛型和空间结构系统中种群的进化动力学。这里提出的研究可能会提高我们对负责生物多样性起源和维持的机制的理解，对于理解和控制影响人类健康的宿主 - 病原体相互作用的动态可能很重要。