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A. Kern, Corbin Jones, D. Begun (2002)
Genomic effects of nucleotide substitutions in Drosophila simulans.Genetics, 162 4
D. Houle (1992)
Comparing evolvability and variability of quantitative traits.Genetics, 130 1
Ann. Math. Stat
N. Barton (1995)
Linkage and the limits to natural selection.Genetics, 140 2
H. Kacser, J. Burns (1981)
The molecular basis of dominance.Genetics, 97 3-4
(2003)
J. Evol. Biol., 16
the standing variation, even if the mutation rate is small
Mandy Haldane (1927)
A Mathematical Theory of Natural and Artificial Selection, Part V: Selection and MutationMathematical Proceedings of the Cambridge Philosophical Society, 23
Motoo Kimura (1983)
The neutral theory of molecular evolution.Scientific American, 241 5
(1983)
Evolution, 37
(2004)
We expect soft sweeps with charac
M. Kimura, T. Ohta (1969)
The Average Number of Generations until Fixation of a Mutant Gene in a Finite Population.Genetics, 61 3
(1974)
Genet. Res., 23
(2004)
Proc. Natl. Acad. Sci. USA, 101
A possible candidate for a soft sweep of this type is the Houle, D., 1992 Comparing evolvability and variability of quantitaevolution of DDT resistance in non-African populations tive traits
H. Orr (1991)
A test of Fisher's theory of dominance.Proceedings of the National Academy of Sciences of the United States of America, 88 24
T. Hansen, C. Pélabon, W. Armbruster, M. Carlson (2003)
Evolvability and genetic constraint in Dalechampia blossoms: components of variance and measures of evolvabilityJournal of Evolutionary Biology, 16
S. Otto, M. Whitlock (1997)
The probability of fixation in populations of changing size.Genetics, 146 2
M. Przeworski (2002)
The signature of positive selection at randomly chosen loci.Genetics, 160 3
(2002)
Genetics, 160
H. Innan, Yuseob Kim (2004)
Pattern of polymorphism after strong artificial selection in a domestication event.Proceedings of the National Academy of Sciences of the United States of America, 101 29
(2002)
TREE, 17
Yuseob Kim, W. Stephan (2000)
Joint effects of genetic hitchhiking and background selection on neutral variation.Genetics, 155 3
N. Kaplan, R. Hudson, C. Langley (1989)
The "hitchhiking effect" revisited.Genetics, 123 4
(1927)
Proc. Camb. Philos. Soc., 23
R. Lande, S. Arnold (1983)
THE MEASUREMENT OF SELECTION ON CORRELATED CHARACTERSEvolution, 37
(1989)
The " hitchdence for a selective sweep. The width of the sweep region, hiking effect " revisited
Cedric Smith, D. Falconer (1962)
Introduction to Quantitative Genetics.Biometrika, 49
Charles Darwin (1930)
The Genetical Theory of Natural SelectionNature, 126
T. Schlenke, D. Begun (2004)
Strong selective sweep associated with a transposon insertion in Drosophila simulans.Proceedings of the National Academy of Sciences of the United States of America, 101 6
F. Catania, M. Kauer, P. Daborn, J. Yen, R. ffrench-Constant, Christian Schlötterer (2004)
World‐wide survey of an Accord insertion and its association with DDT resistance in Drosophila melanogasterMolecular Ecology, 13
Yuseob Kim, W. Stephan (2003)
Selective sweeps in the presence of interference among partially linked loci.Genetics, 164 1
W. Ewens (1999)
Genetics and analysis of quantitative traitsAmerican Journal of Human Biology, 11
J. Haigh (1974)
The hitch-hiking effect of a favourable gene.Genetical research, 23 1
Scott Steppan, P. Phillips, D. Houle (2002)
Comparative quantitative genetics : evolution of the G matrixTrends in Ecology and Evolution, 17
N. Barton (1998)
The effect of hitch-hiking on neutral genealogiesGenetics Research, 72
(2004)
Mol. Ecol., 13
M. Kimura (1957)
Some Problems of Stochastic Processes in GeneticsAnnals of Mathematical Statistics, 28
P. Keightley (1996)
A metabolic basis for dominance and recessivity.Genetics, 143 2
H. Orr, A. Betancourt (2001)
Haldane's sieve and adaptation from the standing genetic variation.Genetics, 157 2
Yuseob Kim, W. Stephan (2002)
Detecting a local signature of genetic hitchhiking along a recombining chromosome.Genetics, 160 2
A population can adapt to a rapid environmental change or habitat expansion in two ways. It may adapt either through new beneficial mutations that subsequently sweep through the population or by using alleles from the standing genetic variation. We use diffusion theory to calculate the probabilities for selective adaptations and find a large increase in the fixation probability for weak substitutions, if alleles originate from the standing genetic variation. We then determine the parameter regions where each scenario—standing variation vs. new mutations—is more likely. Adaptations from the standing genetic variation are favored if either the selective advantage is weak or the selection coefficient and the mutation rate are both high. Finally, we analyze the probability of “soft sweeps,” where multiple copies of the selected allele contribute to a substitution, and discuss the consequences for the footprint of selection on linked neutral variation. We find that soft sweeps with weaker selective footprints are likely under both scenarios if the mutation rate and/or the selection coefficient is high.
Genetics – Oxford University Press
Published: Apr 1, 2005
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