Quasispecies dynamics with time lags and periodic fluctuations in replication
Edward A. Turner, Francisco Crespo, Josep Sardany\'es, Nolbert Morales

TL;DR
This paper investigates how time lags and periodic fluctuations influence quasispecies dynamics, revealing conditions for periodic orbits and the stability of the error threshold in models of biological replication.
Contribution
It combines delayed differential equations and topological methods to analyze quasispecies models with time lags and fluctuations, providing new insights into their dynamic behavior.
Findings
Periodic orbits exist with backward mutation and fluctuations.
Solutions converge exponentially to periodic oscillations.
Error threshold remains valid without backward mutation.
Abstract
Quasispecies theory provides the conceptual and theoretical bases for describing the dynamics of biological information of replicators subject to large mutation rates. This theory, initially conceived within the framework of prebiotic evolution, is also being used to investigate the evolutionary dynamics of RNA viruses and heterogeneous cancer cells populations. In this sense, efforts to approximate the initial quasispecies theory to more realistic scenarios have been made in recent decades. Despite this, how time lags in RNA synthesis and periodic fluctuations impact quasispecies dynamics remains poorly studied. In this article, we combine the theory of delayed ordinary differential equations and topological Leray-Schauder degree to investigate the classical quasispecies model in the single-peak fitness landscape considering time lags and periodic fluctuations in replication. First, we…
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