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The new mutation theory of phenotypic evolution
Open accessAbstract
Recent studies of developmental biology have shown that the genes controlling phenotypic characters expressed in the early stage of development are highly conserved and that recent evolutionary changes have occurred primarily in the characters expressed in later stages of development. Even the genes controlling the latter characters are generally conserved, but there is a large component of neutral or nearly neutral genetic variation within and between closely related species. Phenotypic evolution occurs primarily by mutation of genes that interact with one another in the developmental process. The enormous amount of phenotypic diversity among different phyla or classes of organisms is a product of accumulation of novel mutations and their conservation that have facilitated adaptation to different environments. Novel mutations may be incorporated into the genome by natural selection (elimination of preexisting genotypes) or by random processes such as genetic and genomic drift. However, once the mutations are incorporated into the genome, they may generate developmental constraints that will affect the future direction of phenotypic evolution. It appears that the driving force of phenotypic evolution is mutation, and natural selection is of secondary importance.
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Cites
The genetical theory of natural selection
Fisher, R. A. (1930) · doi:10.5962/bhl.title.27468 · Cited by 17,617
The genetical evolution of social behaviour. I
Hamilton, W. D. (1964) · Journal of Theoretical Biology · doi:10.1016/0022-5193(64)90038-4 · Cited by 15,725
Mayr, E. (1963) · doi:10.4159/harvard.9780674865327 · Cited by 10,175
The ENCODE Project Consortium (2007) · Nature · doi:10.1038/nature05874 · Cited by 5,223
Evolutionary divergence and convergence in proteins.
ZUCKERKANDL, E., & PAULING, L. (1965) · Evolving Genes and Proteins · doi:10.1016/b978-1-4832-2734-4.50017-6 · Cited by 3,020
King, M.-C., & Wilson, A. C. (1975) · Science · doi:10.1126/science.1090005 · Cited by 2,815
The evolutionary significance of cis-regulatory mutations
Wray, G. A. (2007) · Nature Reviews Genetics · doi:10.1038/nrg2063 · Cited by 1,521
Gene Regulatory Networks and the Evolution of Animal Body Plans
Davidson, E. H., & Erwin, D. H. (2006) · Science · doi:10.1126/science.1113832 · Cited by 1,207
Evolution at Two Levels: On Genes and Form
Carroll, S. B. (2005) · PLoS Biology · doi:10.1371/journal.pbio.0030245 · Cited by 882
The calmodulin pathway and evolution of elongated beak morphology in Darwin's finches
Abzhanov, A., Kuo, W. P., Hartmann, C., Grant, B. R., Grant, P. R., & Tabin, C. J. (2006) · Nature · doi:10.1038/nature04843 · Cited by 636
Cited by
Enzyme promiscuity: evolutionary and mechanistic aspects
Khersonsky, O., Roodveldt, C., & Tawfik, D. S. (2006) · Current Opinion in Chemical Biology · doi:10.1016/j.cbpa.2006.08.011 · Cited by 641
The evolution of animal chemosensory receptor gene repertoires: roles of chance and necessity
Nei, M., Niimura, Y., & Nozawa, M. (2008) · Nature Reviews Genetics · doi:10.1038/nrg2480 · Cited by 621
Self-citationVieira, F. G., & Rozas, J. (2011) · Genome Biology and Evolution · doi:10.1093/gbe/evr033 · Cited by 502
Molecular evolution of the major chemosensory gene families in insects
Sánchez-Gracia, A., Vieira, F. G., & Rozas, J. (2009) · Heredity · doi:10.1038/hdy.2009.55 · Cited by 477
Mutational effects and the evolution of new protein functions
Soskine, M., & Tawfik, D. S. (2010) · Nature Reviews Genetics · doi:10.1038/nrg2808 · Cited by 454
Metadata
- Authors
- Nei, M.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2007-07-24
- Volume
- 104
- Issue
- 30
- Pages
- 12235-12242
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W1973081749
- Cited by
- 248
- References
- 13
- FWCI
- 11.55
- Type
- journal article
- Language
- en
- Open access
- bronze
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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