Abstract
BackgroundHost resistance and viral pathogenicity are determined by molecular interactions that are part of the evolutionary arms race between viruses and their hosts. Viruses are obligate intracellular parasites and entry to the host cell is the first step of any virus infection. Commonly, viruses enter host cells by binding cell surface receptors. We adopt a computational modeling approach to study the evolution of the first infection step, where we consider two possible levels of resistance mechanism: at the level of the binding interaction between the host receptor and a virus binding protein, and at the level of receptor protein expression where we use a standard gene regulatory network model. At the population level we adopted the Susceptible-Infected-Susceptible (SIS) model. We used our multi-scale model to understand what conditions might determine the balance between use of resistance mechanisms at the two different levels.ResultsWe explored a range of different conditions (model parameters) that affect host evolutionary dynamics and, in particular, the balance between the use of different resistance mechanisms. These conditions include the complexity of the receptor binding protein-protein interaction, selection pressure on the host population (pathogenicity), and the number of expressed cell-surface receptors. In particular, we found that as the receptor binding complexity (understood as the number of amino acids involved in the interaction between the virus entry protein and the host receptor) increases, viruses tend to become specialists and target one specific receptor. At the same time, on the host side, the potential for resistance shifts from the changes at the level of receptor binding (protein-protein) interaction towards changes at the level of gene regulation, suggesting a mechanism for increased biological complexity.ConclusionsHost resistance and viral pathogenicity depend on quite different evolutionary conditions. Viruses may evolve cell entry strategies that use small receptor binding regions, represented by low complexity binding in our model. Our modeling results suggest that if the virus adopts a strategy based on binding to low complexity sites on the host receptor, the host will select a defense strategy at the protein (receptor) level, rather than at the level of the regulatory network - a virus-host strategy that appears to have been selected most often in nature.Electronic supplementary materialThe online version of this article (doi:10.1186/s12862-016-0804-z) contains supplementary material, which is available to authorized users.
Highlights
Host resistance and viral pathogenicity are determined by molecular interactions that are part of the evolutionary arms race between viruses and their hosts
Host-virus coevolution model The individual gene regulatory network (GRN) structure and gene expression dynamics largely follows the original gene regulatory network evolution model [39,40,41], with 3 primary differences: (i) host individuals are represented by a GRN together with a set of receptor binding site sequences, (ii) populations follow the dynamics of an SIS model, and (iii) the selection pressure on hosts is given by differential survival probability for the offspring of susceptible vs infected parents and by the rate of disease-related death for infected hosts as selection on the hosts arises from the advantage that resistant offspring have over non-resistant offspring (Additional file 1)
A host GRN is represented as a matrix (W) of size N × NTF where N is the total number of genes, which includes receptor genes (NR) and the transcription factor genes (NTF) that regulate them
Summary
Host resistance and viral pathogenicity are determined by molecular interactions that are part of the evolutionary arms race between viruses and their hosts. We used our multi-scale model to understand what conditions might determine the balance between use of resistance mechanisms at the two different levels Viruses and their hosts engage in evolutionary arms races in the form of continuous molecular level changes that determine the mechanisms of infection and defense [1,2,3,4]. The evolutionary dynamics are determined in large part by host susceptibility and viral pathogenicity and depend on molecular interactions between genes and their products [5,6,7]. Viral entry will commonly involve binding interactions with receptors on the host cell surface [15, 16]. CCR5 and CXCR4 act as co-receptors for HIV-1 entry [22], and the Respiratory Syncytial Virus (RSV) produces its own version of the chemokine CXC3 which binds to the host receptor CX3CRI, facilitating RSV infection [23]
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