Literature DB >> 15649558

The error threshold.

Christof K Biebricher1, Manfred Eigen.   

Abstract

Basic principles underlying the population dynamics of bacteria and viruses are presented, with emphasis on RNA viruses. Concepts reviewed here include fitness, mutant generation, competition, selection, sequence space and the theoretical origins of quasispecies. A "wild-type" virus is no longer viewed as the fittest type, but as the center of gravity of a population landscape. A consequence of quasispecies is the existence of an error threshold for selective competence. The error threshold has a justification in quasispecies theory and lends itself to exploration of strategies to drive viral populations over the error threshold, the central theme of this volume.

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Year:  2005        PMID: 15649558     DOI: 10.1016/j.virusres.2004.11.002

Source DB:  PubMed          Journal:  Virus Res        ISSN: 0168-1702            Impact factor:   3.303


  70 in total

Review 1.  Viral quasispecies evolution.

Authors:  Esteban Domingo; Julie Sheldon; Celia Perales
Journal:  Microbiol Mol Biol Rev       Date:  2012-06       Impact factor: 11.056

2.  The advantages and disadvantages of horizontal gene transfer and the emergence of the first species.

Authors:  Aaron A Vogan; Paul G Higgs
Journal:  Biol Direct       Date:  2011-01-03       Impact factor: 4.540

3.  A single mutation in the glycophorin A binding site of hepatitis A virus enhances virus clearance from the blood and results in a lower fitness variant.

Authors:  M Isabel Costafreda; Enric Ribes; Angels Franch; Albert Bosch; Rosa M Pintó
Journal:  J Virol       Date:  2012-05-16       Impact factor: 5.103

4.  Quasispecies diversity determines pathogenesis through cooperative interactions in a viral population.

Authors:  Marco Vignuzzi; Jeffrey K Stone; Jamie J Arnold; Craig E Cameron; Raul Andino
Journal:  Nature       Date:  2005-12-04       Impact factor: 49.962

5.  Mutation rate and genome reduction in endosymbiotic and free-living bacteria.

Authors:  Gabriel A B Marais; Alexandra Calteau; Olivier Tenaillon
Journal:  Genetica       Date:  2007-11-29       Impact factor: 1.082

6.  Exact solution of the Eigen model with general fitness functions and degradation rates.

Authors:  David B Saakian; Chin-Kun Hu
Journal:  Proc Natl Acad Sci U S A       Date:  2006-03-20       Impact factor: 11.205

7.  Genomic mutation rates that neutralize adaptive evolution and natural selection.

Authors:  Philip J Gerrish; Alexandre Colato; Paul D Sniegowski
Journal:  J R Soc Interface       Date:  2013-05-29       Impact factor: 4.118

Review 8.  Genomic Instability in Cancer: Teetering on the Limit of Tolerance.

Authors:  Noemi Andor; Carlo C Maley; Hanlee P Ji
Journal:  Cancer Res       Date:  2017-04-21       Impact factor: 12.701

9.  Dengue Virus Evolution under a Host-Targeted Antiviral.

Authors:  Emily Plummer; Michael D Buck; Marisa Sanchez; Jason A Greenbaum; Julia Turner; Rajvir Grewal; Brennan Klose; Aruna Sampath; Kelly L Warfield; Bjoern Peters; Urban Ramstedt; Sujan Shresta
Journal:  J Virol       Date:  2015-03-11       Impact factor: 5.103

10.  Lack of mutational hot spots during decitabine-mediated HIV-1 mutagenesis.

Authors:  Jonathan M O Rawson; Sean R Landman; Cavan S Reilly; Laurent Bonnac; Steven E Patterson; Louis M Mansky
Journal:  Antimicrob Agents Chemother       Date:  2015-08-17       Impact factor: 5.191

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