Abstract

Following transmission, HIV-1 adapts in the new host by acquiring mutations that allow it to escape from the host immune response at multiple epitopes. It also reverts mutations associated with epitopes targeted in the transmitting host but not in the new host. Moreover, escape mutations are often associated with additional compensatory mutations that partially recover fitness costs. It is unclear whether recombination expedites this process of multi-locus adaptation. To elucidate the role of recombination, we constructed a detailed population dynamics model that integrates viral dynamics, host immune response at multiple epitopes through cytotoxic T lymphocytes, and viral evolution driven by mutation, recombination, and selection. Using this model, we compute the expected waiting time until the emergence of the strain that has gained escape and compensatory mutations against the new host's immune response, and reverted these mutations at epitopes no longer targeted. We find that depending on the underlying fitness landscape, shaped by both costs and benefits of mutations, adaptation proceeds via distinct dominant pathways with different effects of recombination, in particular distinguishing escape and reversion. When adaptation at a single epitope is involved, recombination can substantially accelerate immune escape but minimally affects reversion. When multiple epitopes are involved, recombination can accelerate or inhibit adaptation depending on the fitness landscape. Specifically, recombination tends to delay adaptation when a purely uphill fitness landscape is accessible at each epitope, and accelerate it when a fitness valley is associated with each epitope. Our study points to the importance of recombination in shaping the adaptation of HIV-1 following its transmission to new hosts, a process central to T cell-based vaccine strategies.

Highlights

  • Cytotoxic CD8+ T lymphocytes (CTLs) mount a powerful response to transmitted HIV in the acute phase of infection and limit its spread within infected individuals (Walker and McMichael, 2012)

  • This effect is quantified by R =/wnorec, which is the relative change in this waiting time “with” versus “without” recombination

  • Using a detailed model of viral dynamics combining immune response by CTLs and viral evolution driven by mutation, recombination and selection, we investigated the expected waiting time for the appearance of the highly adapted strain, carrying all of the requisite mutations, in the presence and absence of recombination

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Summary

Introduction

Cytotoxic CD8+ T lymphocytes (CTLs) mount a powerful response to transmitted HIV in the acute phase of infection and limit its spread within infected individuals (Walker and McMichael, 2012). We consider both escape at targeted epitopes and reversion at non-targeted epitopes, which present distinct features of the fitness landscape We investigate these questions using a population dynamics model that treats co-infection and recombination mechanistically, and accounts for finite population effects through a waiting time for new genotypes to appear. We construct a mathematical model to describe within-host HIV-1 evolution in the context of immune pressure from CTLs. The model consists of a system of ordinary differential equations describing the dynamics of all viral strains that are present, combined with an expected waiting time until mutant strains appear, derived from a stochastic process approach. We solve the above equations numerically with the fourth order Runge–Kutta algorithm using a computer program in C

Reverse transcription
Waiting times
Results
Single epitope
Two epitopes
Discussion
Full Text
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