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Adaptation in simple and complex fitness landscapes

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TLDR
A review of deterministic mutation-selection models for asexual populations and related topics is given in this paper, with particular emphasis on the error threshold phenomenon and random rugged fitness landscapes.
Abstract
This is an introductory review of deterministic mutation-selection models for asexual populations (i.e., quasispecies theory) and related topics. First, the basic concepts of fitness, mutations, and sequence space are introduced. Different types of mutation-selection dynamics are defined and their relation to problems of statistical physics are outlined. Then the stationary population distribution in simple, single peak fitness landscapes is discussed at length, with particular emphasis on the error threshold phenomenon. Extensions of the theory covering e.g. epistatic interactions, diploid organisms, semiconservative replication and time-dependent fitness peaks are briefly described. A further section is devoted to randomly rugged fitness landscapes, which may display fitness correlations of various degree as well as extended neutral networks. The final two sections address evolutionary dynamics in both rugged and smooth fitness landscapes, and provide a brief overview of pertinent experiments.

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Mutational pathway determines whether drug gradients accelerate evolution of drug-resistant cells.

TL;DR: It is shown that a nonuniform drug distribution has the potential to accelerate the emergence of resistance when the mutational pathway involves a long sequence of mutants with increasing resistance, but if the pathway is short or crosses a fitness valley, the evolution of resistance may actually be slowed down by drug gradients.
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The speed of evolution in large asexual populations

TL;DR: An exact solution of the infinite population size limit is presented and an estimate of the population size beyond which it is valid is provided.
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Deterministic and stochastic regimes of asexual evolution on rugged fitness landscapes

TL;DR: In this paper, the authors study the adaptation dynamics of an initially maladapted asexual population with genotypes represented by binary sequences of length L, and find that whether the evolutionary trajectory is deterministic or stochastic depends on the effective mutational distance d eff up to which the population can spread in genotype space.
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Neutral evolution of model proteins: diffusion in sequence space and overdispersion

TL;DR: In this paper, the evolution of model protein sequences subject to mutations is modeled as an extended neutral network in sequence space, where a mutation is considered neutral if it conserves 1) the structure of the ground state, 2) its thermodynamic stability and 3) its kinetic accessibility.
BookDOI

Quasispecies : from theory to experimental systems

TL;DR: This paper presents mathematical models of quasispecies theory and exact results for the dynamics of viral population dynamics, which show that viral evolutionary strategies based on lethal mutagenesis and error threshold based on fidelity variants and RNA quasipecies are viable.
References
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An Introduction to Population Genetics Theory

James F. Crow, +1 more
- 01 Sep 1971 - 
TL;DR: An introduction to population genetics theory, An introduction to Population Genetics Theory, Population Genetics theory, Population genetics theory as discussed by the authors, Population genetics, population genetics, and population genetics theories, Population Genetic Theory
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An introduction to population genetics theory

TL;DR: An introduction to population genetics theory, An introduction to Population Genetics theory, and more.
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Selforganization of matter and the evolution of biological macromolecules

TL;DR: The causes and effect of cause and effect, and the prerequisites of Selforganization, are explained in more detail in the I.IA.
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HIV population dynamics in vivo: implications for genetic variation, pathogenesis, and therapy

TL;DR: Results lead to a simple steady-state model in which infection, cell death, and cell replacement are in balance, and imply that the unique feature of HIV is the extraordinarily large number of replication cycles that occur during infection of a single individual.
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