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I. Rechenberg (1984)
The Evolution Strategy. A Mathematical Model of Darwinian Evolution
J. Doebley, R. Wang (2006)
Genetics and the evolution of plant form: an example from maize.Cold Spring Harbor symposia on quantitative biology, 62
S. Elena, M. Dávila, I. Novella, J. Holland, E. Domingo, A. Moya (1998)
EVOLUTIONARY DYNAMICS OF FITNESS RECOVERY FROM THE DEBILITATING EFFECTS OF MULLER'S RATCHETEvolution, 52
H. Orr (1998)
THE POPULATION GENETICS OF ADAPTATION: THE DISTRIBUTION OF FACTORS FIXED DURING ADAPTIVE EVOLUTIONEvolution, 52
G. Wagner, L. Altenberg (1996)
PERSPECTIVE: COMPLEX ADAPTATIONS AND THE EVOLUTION OF EVOLVABILITYEvolution, 50
P. Feldman (1975)
Evolution of sexNature, 254
H. Orr, J. Coyne (1992)
The Genetics of Adaptation: A ReassessmentThe American Naturalist, 140
B. Charlesworth (1984)
The cost of phenotypic evolutionPaleobiology, 10
D. W. McShea (1996)
Metazoon complexity and evolution: is there a trendAm. Nat., 50
M. Baatz, G. Wagner (1997)
Adaptive Inertia Caused by Hidden Pleiotropic EffectsTheoretical Population Biology, 51
Motoo Kimura (1983)
The neutral theory of molecular evolution.Scientific American, 241 5
T. Ohta (1992)
THE NEARLY NEUTRAL THEORY OF MOLECULAR EVOLUTIONAnnual Review of Ecology, Evolution, and Systematics, 23
D. McShea (1993)
EVOLUTIONARY CHANGE IN THE MORPHOLOGICAL COMPLEXITY OF THE MAMMALIAN VERTEBRAL COLUMNEvolution, 47
T. Ohta (1992)
The nearly neutral theory of molecular evolutionJ. Evol. Biol., 23
(1987)
Ronald Fisher and the development of evolutionary theory. II. Influences of new variation on evolutionary process
I. Rechenberg (1994)
Computational intelligence imitating life
I. Rechenberg (1984)
Synergetics—from microscopic to macroscopic order. Proceedings of the international symposium on synergetics at Berlin
G. P. Wagner, L. Altenberg (1996)
Complex adaptations and the evolution of evolvability, 50
G. Vermeij (1973)
Adaptation, Versatility, and EvolutionSystematic Biology, 22
D. McShea (1996)
PERSPECTIVE METAZOAN COMPLEXITY AND EVOLUTION: IS THERE A TREND?Evolution, 50
D. McShea (1998)
Possible largest-scale trends in organismal evolution : Eight live hypothesesAnnual Review of Ecology, Evolution, and Systematics, 29
D. W. McShea (1998)
Possible largest‐scale trends in organismal evolution: eight “live hypotheses.” AnnuSyst. Zool., 29
Daniel Hartl, C. Taubes (1996)
Compensatory nearly neutral mutations: selection without adaptation.Journal of theoretical biology, 182 3
E. G. Leigh (1987)
Oxford surveys in evolutionary biologyEvolution, 4
Charles Darwin (1930)
The Genetical Theory of Natural SelectionNature, 126
P. Keightley (1998)
Inference of genome-wide mutation rates and distributions of mutation effects for fitness traits: a simulation study.Genetics, 150 3
D. Hartl, C. H. Taubes (1998)
Towards a theory of evolutionary adaptationGenetics, 102/103
R. Lenski, M. Travisano (1994)
Dynamics of adaptation and diversification: a 10,000-generation experiment with bacterial populations.Proceedings of the National Academy of Sciences of the United States of America, 91 15
G. Wagner (1988)
The influence of variation and of developmental constraints on the rate of multivariate phenotypic evolutionJournal of Evolutionary Biology, 1
R. E. Lenski, M. Travisano (1994)
Dynamics of adaptation and diversification: a 10,000‐generation experiment with bacterial populationsRev. Ecol. Syst., 91
H. A. Orr, J. A. Coyne (1992)
The genetics of adaptation revisited, 140
Abstract.— Adaptation is characterized by the movement of a population toward a many‐character optimum, movement that results in an increase in fitness. Here I calculate the rate at which fitness increases during adaptation and describe the curve giving fitness versus time as a population approaches an optimum in Fisher's model of adaptation. The results identify several factors affecting the speed of adaptation. One of the most important is organismal complexity—complex organisms adapt more slowly than simple ones when using mutations of the same phenotypic size. Thus, as Fisher foresaw, organisms pay a kind of cost of complexity. However, the magnitude of this cost is considerably larger than Fisher's analysis suggested. Indeed the rate of adaptation declines at least as fast as n‐1, where n is the number of independent characters or dimensions comprising an organism. The present results also suggest that one can define an effective number of dimensions characterizing an adapting species.
Evolution – Wiley
Published: Feb 1, 2000
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