Literature DB >> 28565347

A POPULATION GENETIC THEORY OF CANALIZATION.

Günter P Wagner1, Ginger Booth1, Homayoun Bagheri-Chaichian1.   

Abstract

Canalization is the suppression of phenotypic variation. Depending on the causes of phenotypic variation, one speaks either of genetic or environmental canalization. Genetic canalization describes insensitivity of a character to mutations, and the insensitivity to environmental factors is called environmental canalization. Genetic canalization is of interest because it influences the availability of heritable phenotypic variation to natural selection, and is thus potentially important in determining the pattern of phenotypic evolution. In this paper a number of population genetic models are considered of a quantitative character under stabilizing selection. The main purpose of this study is to define the population genetic conditions and constraints for the evolution of canalization. Environmental canalization is modeled as genotype specific environmental variance. It is shown that stabilizing selection favors genes that decrease environmental variance of quantitative characters. However, the theoretical limit of zero environmental variance has never been observed. Of the many ways to explain this fact, two are addressed by our model. It is shown that a "canalization limit" is reached if canalizing effects of mutations are correlated with direct effects on the same character. This canalization limit is predicted to be independent of the strength of stabilizing selection, which is inconsistent with recent experimental data (Sterns et al. 1995). The second model assumes that the canalizing genes have deleterious pleiotropic effects. If these deleterious effects are of the same magnitude as all the other mutations affecting fitness very strong stabilizing selection is required to allow the evolution of environmental canalization. Genetic canalization is modeled as an influence on the average effect of mutations at a locus of other genes. It is found that the selection for genetic canalization critically depends on the amount of genetic variation present in the population. The more genetic variation, the stronger the selection for canalizing effects. All factors that increase genetic variation favor the evolution of genetic canalization (large population size, high mutation rate, large number of genes). If genetic variation is maintained by mutation-selection balance, strong stabilizing selection can inhibit the evolution of genetic canalization. Strong stabilizing selection eliminates genetic variation to a level where selection for canalization does not work anymore. It is predicted that the most important characters (in terms of fitness) are not necessarily the most canalized ones, if they are under very strong stabilizing selection (k > 0.2Ve ). The rate of decrease of mutational variance Vm is found to be less than 10% of the initial Vm . From this result it is concluded that characters with typical mutational variances of about 10-3 Ve are in a metastable state where further evolution of genetic canalization is too slow to be of importance at a microevolutionary time scale. The implications for the explanation of macroevolutionary patterns are discussed. © 1997 The Society for the Study of Evolution.

Entities:  

Keywords:  Canalization; development; evolution; evolvability

Year:  1997        PMID: 28565347     DOI: 10.1111/j.1558-5646.1997.tb02420.x

Source DB:  PubMed          Journal:  Evolution        ISSN: 0014-3820            Impact factor:   3.694


  66 in total

1.  The robustness of naturally and artificially selected nucleic acid secondary structures.

Authors:  Lauren Ancel Meyers; Jennifer F Lee; Matthew Cowperthwaite; Andrew D Ellington
Journal:  J Mol Evol       Date:  2004-06       Impact factor: 2.395

2.  Adaptive Genetic Robustness of Escherichia coli Metabolic Fluxes.

Authors:  Wei-Chin Ho; Jianzhi Zhang
Journal:  Mol Biol Evol       Date:  2016-01-05       Impact factor: 16.240

Review 3.  Mechanisms of genetic robustness in RNA viruses.

Authors:  Santiago F Elena; Purificación Carrasco; José-Antonio Daròs; Rafael Sanjuán
Journal:  EMBO Rep       Date:  2006-02       Impact factor: 8.807

4.  Internal and external constraints in the evolution of morphological allometries in a butterfly.

Authors:  W Anthony Frankino; Bas J Zwaan; David L Stern; Paul M Brakefield
Journal:  Evolution       Date:  2007-11-01       Impact factor: 3.694

5.  Simon-Ando decomposability and fitness landscapes.

Authors:  Max Shpak; Peter Stadler; Gunter P Wagner; Lee Altenberg
Journal:  Theory Biosci       Date:  2004-09       Impact factor: 1.919

6.  Evolution can favor antagonistic epistasis.

Authors:  Michael M Desai; Daniel Weissman; Marcus W Feldman
Journal:  Genetics       Date:  2007-08-24       Impact factor: 4.562

7.  Aggregation of variables and system decomposition: Applications to fitness landscape analysis.

Authors:  Max Shpak; Peter Stadler; Gunter P Wagner; Joachim Hermisson
Journal:  Theory Biosci       Date:  2004-06       Impact factor: 1.919

8.  In silico genetic robustness analysis of secondary structural elements in the miRNA gene.

Authors:  Wenjie Shu; Ming Ni; Xiaochen Bo; Zhiqiang Zheng; Shengqi Wang
Journal:  J Mol Evol       Date:  2008-10-22       Impact factor: 2.395

9.  Overview of QTL detection in plants and tests for synergistic epistatic interactions.

Authors:  Jean-Luc Jannink; Laurence Moreau; Gilles Charmet; Alain Charcosset
Journal:  Genetica       Date:  2008-08-10       Impact factor: 1.082

Review 10.  Decanalizing thinking on genetic canalization.

Authors:  Kerry Geiler-Samerotte; Federica M O Sartori; Mark L Siegal
Journal:  Semin Cell Dev Biol       Date:  2018-05-24       Impact factor: 7.727

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.