Mutation-selection balance: Ancestry, load, and maximum principle

被引:99
|
作者
Hermisson, J [1 ]
Redner, O
Wagner, H
Baake, E
机构
[1] Yale Univ, Dept Ecol & Evolutionary Biol, New Haven, CT 06520 USA
[2] Ernst Moritz Arndt Univ Greifswald, Inst Math & Informat, D-17487 Greifswald, Germany
[3] Univ Bielefeld, Tech Fak, D-33501 Bielefeld, Germany
关键词
mutation-selection model; clonal reproduction; branching process; backward processes; mutation load; epistasis; mutational robustness; error threshold; statistical physics;
D O I
10.1006/tpbi.2002.1582
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
We analyze the equilibrium behavior of deterministic haploid mutation-selection models. To this end, both the forward and the time-reversed evolution processes are considered. The stationary state of the latter is called the ancestral distribution, which turns out as a key for the study of mutation-selection balance. We find that the ancestral genotype frequencies determine the sensitivity of the equilibrium mean fitness to changes in the corresponding fitness values and discuss implications for the evolution of mutational robustness. We further show that the difference between the ancestral and the population mean fitness, termed mutational loss,provides a measure for the sensitivity of the equilibrium mean fitness to changes in the mutation rate. The interrelation of the loss and the mutation load is discussed. For a class Of models in which the number of mutations in an individual is taken as the trait value, and fitness is a function of the trait, we use the ancestor formulation to derive a simple maximum principle, from which the mean and variance of fitness and the trait may be derived; the results are exact for a number of limiting cases, and otherwise yield approximations which are accurate for a wide range of parameters. These results are applied to threshold phenomena caused by the interplay of selection and mutation (known as error thresholds). They lead to a clarification of concepts, as well as criteria for the existence of error thresholds. (C) 2002 Elsevier Science (USA).
引用
收藏
页码:9 / 46
页数:38
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