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Gene-mating dynamic evolution theory: fundamental assumptions, exactly solvable models and analytic solutions

机译:基因交配动态演进理论:基础假设,完全可解决的模型和分析解决方案

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摘要

Fundamental properties of macroscopic gene-mating dynamic evolutionarysystems are investigated. A model is proposed to describe a large class ofsystems within population genetics. We focus on a single locus, arbitrarynumber alleles in a two-gender dioecious population. Our governing equationsare time-dependent continuous differential equations labeled by a set ofgenotype frequencies. The full parameter space consists of all allowed genotypefrequencies. Our equations are uniquely derived from four fundamentalassumptions within any population: (1) a closed system; (2) average-and-randommating process (mean-field behavior); (3) Mendelian inheritance; (4)exponential growth and exponential death. Even though our equations arenon-linear with time evolutionary dynamics, we have an exactly solvable model.Our findings are summarized from phenomenological and mathematical viewpoints.From the phenomenological viewpoint, any initial genotype frequency of a closedsystem will eventually approach a stable fixed point. Under time evolution, weshow (1) the monotonic behavior of genotype frequencies, (2) any genotype orallele that appears in the population will never become extinct, (3) theHardy-Weinberg law, and (4) the global stability without chaos in the parameterspace. To demonstrate the experimental evidence, as an example, we show amapping from the blood type genotype frequencies of world ethnic groups to ourstable fixed-point solutions. From the mathematical viewpoint, the equilibriumsolutions consist of a base manifold as a global stable attractor, attractingany initial point in a Euclidean fiber bundle to the fixed point where thefiber is attached. We can define the genetic distance of two populations astheir geodesic distance on the equilibrium manifold. In addition, themodification of our theory under the process of natural selection and mutationis addressed.
机译:宏观基因交配动态evolutionarysystems的基本特性进行了研究。模型提出了群体遗传学中描述一大类ofsystems。我们专注于一个单一的轨迹,arbitrarynumber在两性别雌雄异株人口等位基因。我们的理事由一组ofgenotype频率标记equationsare时间依赖连续微分方程。完整的参数空间由所有允许genotypefrequencies的。我们的方程唯一从任何人口中的四个fundamentalassumptions导出:(1)一个封闭的系统; (2)平均和 - randommating处理(平均场行为); (3)孟德尔遗传; (4)指数增长和指数死亡。即使我们的方程arenon线性随时间进化动力学,我们有一个准确解model.Our发现是从现象学和数学viewpoints.From现象学的观点概括,一个封闭系统的任何初始型频率最终会接近一个稳定的固定点。在时间的演化,weshow(1)基因型频率的单调性,(2)任何基因型orallele出现在人群中永远不会灭绝,(3)theHardy - 温伯格定律,以及(4)没有在混乱中全球稳定parameterspace。为了演示实验证据,作为一个例子,我们将展示来自世界各族血型基因型频率ourstable定点解决方案amapping。从数学观点来看,equilibriumsolutions由碱歧管作为全局稳定吸引子,attractingany在欧几里德纤维束,其中thefiber所连接的固定点的初始点。我们可以定义astheir对平衡歧管测地距离的两个种群的遗传距离。此外,我们的自然选择和mutationis的进程下的理论themodification解决。

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