title: Genomic mutation rates that neutralize adaptive evolution and natural selection.
abstract: When mutation rates are low, natural selection remains effective, and increasing the mutation rate can give rise to an increase in adaptation rate. When mutation rates are high to begin with, however, increasing the mutation rate may have a detrimental effect because of the overwhelming presence of deleterious mutations. Indeed, if mutation rates are high enough: (i) adaptive evolution may be neutralized, resulting in a zero (or negative) adaptation rate despite the continued availability of adaptive and/or compensatory mutations, or (ii) natural selection may be neutralized, because the fitness of lineages bearing adaptive and/or compensatory mutations--whether established or newly arising--is eroded by excessive mutation, causing such lineages to decline in frequency. We apply these two criteria to a standard model of asexual adaptive evolution and derive mathematical expressions--some new, some old in new guise--delineating the mutation rates under which either adaptive evolution or natural selection is neutralized. The expressions are simple and require no a priori knowledge of organism- and/or environment-specific parameters. Our discussion connects these results to each other and to previous theory, showing convergence or equivalence of the different results in most cases.
authors.affiliation: Department of Biology, Center for Evolutionary and Theoretical Immunology, University of New Mexico, 230 Castetter Hall, MSC03-2020, Albuquerque, NM 87131, USA. pgerrish@unm.edu
authors.forename: Philip J
authors.initials: PJ
authors.lastname: Gerrish
authors.forename: Alexandre
authors.initials: A
authors.lastname: Colato
authors.forename: Paul D
authors.initials: PD
authors.lastname: Sniegowski
mesh_terms: D019143:Evolution, Molecular; D059647:Gene-Environment Interaction; D016678:Genome / Q000502:physiology*; D008957:Models, Genetic; D009154:Mutation; D012641:Selection, Genetic
keywords: Fisher's fundamental theorem; beneficial mutations; error threshold; mutagenesis; population genetics