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When mutation rates are low, natural selection remains effective, and increasing the mutation rate can give rise to an increase in adaptation rate. When mutation rates are high to begin with, however, increasing the mutation rate may have a…

种群与进化 · 定量生物学 2012-11-06 Philip Gerrish , Alexandre Colato , Paul Sniegowski

This paper focuses on the maximum speed at which biological evolution can occur. I derive inequalities that limit the rate of evolutionary processes driven by natural selection, mutations, or genetic drift. These \emph{rate limits} link the…

种群与进化 · 定量生物学 2024-06-17 Luis Pedro García-Pintos

Although mutations drive the evolutionary process, the rates at which the mutations occur are themselves subject to evolutionary forces. Our purpose here is to understand the role of selection and random genetic drift in the evolution of…

种群与进化 · 定量生物学 2016-10-27 Ananthu James , Kavita Jain

Evolutionary branching is analysed in a stochastic, individual-based population model under mutation and selection. In such models, the common assumption is that individual reproduction and life career are characterised by values of a…

种群与进化 · 定量生物学 2025-10-01 S. Sagitov , B. Mehlig , P. Jagers , V. Vatutin

Mutation has traditionally been regarded as an important operator in evolutionary algorithms. In particular, there have been many experimental studies which showed the effectiveness of adapting mutation rates for various static optimization…

人工智能 · 计算机科学 2011-06-06 Tianshi Chen , Yunji Chen , Ke Tang , Guoliang Chen , Xin Yao

We are interested in modelling Darwinian evolution, resulting from the interplay of phenotypic variation and natural selection through ecological interactions. Our models are rooted in the microscopic, stochastic description of a population…

概率论 · 数学 2016-08-16 Nicolas Champagnat , Régis Ferrière , Sylvie Méléard

We consider the evolution of populations under the joint action of mutation and differential reproduction, or selection. The population is modelled as a finite-type Markov branching process in continuous time, and the associated…

种群与进化 · 定量生物学 2009-02-23 Ellen Baake , Hans-Otto Georgii

We consider the accumulation of beneficial and deleterious mutations in large asexual populations. The rate of adaptation is affected by the total mutation rate, proportion of beneficial mutations and population size $N$. We show that…

概率论 · 数学 2010-10-18 Feng Yu , Alison Etheridge , Charles Cuthbertson

In unicellular organisms such as bacteria and in most viruses, mutations mainly occur during reproduction. Thus, genotypes with a high birth rate should have a higher mutation rate. However, standard models of asexual adaptation such as the…

偏微分方程分析 · 数学 2021-11-10 Florian Patout , R Forien , M Alfaro , J Papaïx , L Roques

We investigate the mutation-selection dynamics for an evolutionary computation model based on Turing Machines that we introduced in a previous article. The use of Turing Machines allows for very simple mechanisms of code growth and code…

种群与进化 · 定量生物学 2015-03-17 Fabio Musso , Giovanni Feverati

We show how concepts from statistical physics, such as order parameter, thermodynamic limit, and quantum phase transition, translate into biological concepts in mutation-selection models for sequence evolution and can be used there. The…

统计力学 · 物理学 2007-05-23 Joachim Hermisson , Oliver Redner , Holger Wagner , Ellen Baake

We consider a model of asexually reproducing individuals with random mutations and selection. The rate of mutations is proportional to the population size, $N$. The mutations may be either beneficial or deleterious. In a paper by Yu,…

概率论 · 数学 2015-08-20 Michael Kelly

In evolutionary dynamics, a key measure of a mutant trait's success is the probability that it takes over the population given some initial mutant-appearance distribution. This "fixation probability" is difficult to compute in general, as…

种群与进化 · 定量生物学 2022-02-18 Alex McAvoy , Benjamin Allen

Evolutionary analyses of large populations commonly incorporate stochasticity through temporal variation in selection while treating genetic transmission as fixed. Much less attention has been given to stochasticity in transmission itself.…

种群与进化 · 定量生物学 2026-02-24 Elisa Heinrich-Mora , Marcus Feldman

A simple model of macroevolution is proposed exhibiting both the property of punctuated equilibrium and the dynamics of potentialities for different species to evolve towards increasingly higher complexity. It is based on the phenomenon of…

生物物理 · 物理学 2007-05-23 Siegfried Fussy , Gerhard Groessing , Herbert Schwabl

Mutations can arise from the chance misincorporation of nucleotides during DNA replication or from DNA lesions that are not repaired correctly. We introduce a model that relates the source of mutations to their accumulation with cell…

种群与进化 · 定量生物学 2015-07-27 Ziyue Gao , Minyoung J. Wyman , Guy Sella , Molly Przeworski

Mutation rate is a key determinant of the pace as well as outcome of evolution, and variability in this rate has been shown in different scenarios to play a key role in evolutionary adaptation and resistance evolution under stress caused by…

种群与进化 · 定量生物学 2019-03-01 Dalit Engelhardt , Eugene I. Shakhnovich

Recent work on mutation-selection models has revealed that, under specific assumptions on the fitness function and the mutation rates, asymptotic estimates for the leading eigenvalue of the mutation-reproduction matrix may be obtained…

种群与进化 · 定量生物学 2007-05-23 E. Baake , M. Baake , A. Bovier , M. Klein

We study a simple model of DNA evolution in a growing population of cells. Each cell contains a nucleotide sequence which randomly mutates at cell division. Cells divide according to a branching process. Following typical parameter values…

概率论 · 数学 2020-06-05 David Cheek , Tibor Antal

Stochastic models of sequential mutation acquisition are widely used to quantify cancer and bacterial evolution. Across manifold scenarios, recurrent research questions are: how many cells are there with $n$ alterations, and how long will…

种群与进化 · 定量生物学 2023-07-07 Michael D. Nicholson , David Cheek , Tibor Antal
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