Literature DB >> 25871142

Error catastrophe and phase transition in the empirical fitness landscape of HIV.

Gregory R Hart1, Andrew L Ferguson2.   

Abstract

We have translated clinical sequence databases of the p6 HIV protein into an empirical fitness landscape quantifying viral replicative capacity as a function of the amino acid sequence. We show that the viral population resides close to a phase transition in sequence space corresponding to an "error catastrophe" beyond which there is lethal accumulation of mutations. Our model predicts that the phase transition may be induced by drug therapies that elevate the mutation rate, or by forcing mutations at particular amino acids. Applying immune pressure to any combination of killer T-cell targets cannot induce the transition, providing a rationale for why the viral protein can exist close to the error catastrophe without sustaining fatal fitness penalties due to adaptive immunity.

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Year:  2015        PMID: 25871142     DOI: 10.1103/PhysRevE.91.032705

Source DB:  PubMed          Journal:  Phys Rev E Stat Nonlin Soft Matter Phys        ISSN: 1539-3755


  2 in total

1.  Statistical Mechanics and Thermodynamics of Viral Evolution.

Authors:  Barbara A Jones; Justin Lessler; Simone Bianco; James H Kaufman
Journal:  PLoS One       Date:  2015-09-30       Impact factor: 3.240

2.  How Good Are Statistical Models at Approximating Complex Fitness Landscapes?

Authors:  Louis du Plessis; Gabriel E Leventhal; Sebastian Bonhoeffer
Journal:  Mol Biol Evol       Date:  2016-05-14       Impact factor: 16.240

  2 in total

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