Literature DB >> 19895555

Adaptation rates of lytic viruses depend critically on whether host cells survive the bottleneck.

Zaheerabbas Patwa1, Lindi M Wahl.   

Abstract

We use a branching process approach to estimate the substitution rate, the rate at which beneficial mutations occur and fix, in populations of lytic viruses whose growth is controlled by periodic population bottlenecks. Our model predicts that substitution rates, and by extension adaptation rates, are profoundly affected by the survival of infected host cells at the bottleneck. In particular, we find that direct transfer (or environmental) bottlenecks, in which some fraction of both free virus and host cells are preserved, are associated with relatively slow adaptation rates for the virus. In contrast, viruses can adapt much more quickly when only free virus is transferred to a new host population, as is typical in an epidemiological setting. Finally, when premature lysis of the host-cell population is induced at the bottleneck, we predict that adaptation rates for the virus will, in general, be faster still. These results hold irrespective of the life-history trait affected by the beneficial mutation. The substitution rates in the presence of environmental bottlenecks are predicted to be as much as an order of magnitude lower than in the other two cases.

Mesh:

Year:  2009        PMID: 19895555     DOI: 10.1111/j.1558-5646.2009.00887.x

Source DB:  PubMed          Journal:  Evolution        ISSN: 0014-3820            Impact factor:   3.694


  3 in total

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Authors:  Karl Wienand; Erwin Frey; Mauro Mobilia
Journal:  J R Soc Interface       Date:  2018-08       Impact factor: 4.118

2.  The impact of bottlenecks on microbial survival, adaptation, and phenotypic switching in host-pathogen interactions.

Authors:  Richard Moxon; Edo Kussell
Journal:  Evolution       Date:  2017-10-30       Impact factor: 3.694

3.  On the inclusion of self regulating branching processes in the working paradigm of evolutionary and population genetics.

Authors:  Charles J Mode; Candace K Sleeman; Towfique Raj
Journal:  Front Genet       Date:  2013-02-19       Impact factor: 4.599

  3 in total

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