Literature DB >> 11005278

Evolutionary developmental biology and the problem of variation.

D L Stern1.   

Abstract

One of the oldest problems in evolutionary biology remains largely unsolved. Which mutations generate evolutionarily relevant phenotypic variation? What kinds of molecular changes do they entail? What are the phenotypic magnitudes, frequencies of origin, and pleiotropic effects of such mutations? How is the genome constructed to allow the observed abundance of phenotypic diversity? Historically, the neo-Darwinian synthesizers stressed the predominance of micromutations in evolution, whereas others noted the similarities between some dramatic mutations and evolutionary transitions to argue for macromutationism. Arguments on both sides have been biased by misconceptions of the developmental effects of mutations. For example, the traditional view that mutations of important developmental genes always have large pleiotropic effects can now be seen to be a conclusion drawn from observations of a small class of mutations with dramatic effects. It is possible that some mutations, for example, those in cis-regulatory DNA, have few or no pleiotropic effects and may be the predominant source of morphological evolution. In contrast, mutations causing dramatic phenotypic effects, although superficially similar to hypothesized evolutionary transitions, are unlikely to fairly represent the true path of evolution. Recent developmental studies of gene function provide a new way of conceptualizing and studying variation that contrasts with the traditional genetic view that was incorporated into neo-Darwinian theory and population genetics. This new approach in developmental biology is as important for microevolutionary studies as the actual results from recent evolutionary developmental studies. In particular, this approach will assist in the task of identifying the specific mutations generating phenotypic variation and elucidating how they alter gene function. These data will provide the current missing link between molecular and phenotypic variation in natural populations.

Mesh:

Year:  2000        PMID: 11005278     DOI: 10.1111/j.0014-3820.2000.tb00544.x

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


  174 in total

1.  Adaptive divergence in experimental populations of Pseudomonas fluorescens. I. Genetic and phenotypic bases of wrinkly spreader fitness.

Authors:  Andrew J Spiers; Sophie G Kahn; John Bohannon; Michael Travisano; Paul B Rainey
Journal:  Genetics       Date:  2002-05       Impact factor: 4.562

2.  Evolution of functionally conserved enhancers can be accelerated in large populations: a population-genetic model.

Authors:  Ashley J R Carter; Günter P Wagner
Journal:  Proc Biol Sci       Date:  2002-05-07       Impact factor: 5.349

3.  Deductions about the number, organization, and evolution of genes in the tomato genome based on analysis of a large expressed sequence tag collection and selective genomic sequencing.

Authors:  Rutger Van der Hoeven; Catherine Ronning; James Giovannoni; Gregory Martin; Steven Tanksley
Journal:  Plant Cell       Date:  2002-07       Impact factor: 11.277

4.  Parallel genetic basis for repeated evolution of armor loss in Alaskan threespine stickleback populations.

Authors:  William A Cresko; Angel Amores; Catherine Wilson; Joy Murphy; Mark Currey; Patrick Phillips; Michael A Bell; Charles B Kimmel; John H Postlethwait
Journal:  Proc Natl Acad Sci U S A       Date:  2004-04-06       Impact factor: 11.205

5.  Regulatory evolution through divergence of a phosphoswitch in the transcription factor CEBPB.

Authors:  Vincent J Lynch; Gemma May; Günter P Wagner
Journal:  Nature       Date:  2011-11-13       Impact factor: 49.962

6.  Evolution of CpG island promoter function underlies changes in KChIP2 potassium channel subunit gene expression in mammalian heart.

Authors:  Qinghong Yan; Rajeev Masson; Yi Ren; Barbara Rosati; David McKinnon
Journal:  Proc Natl Acad Sci U S A       Date:  2012-01-17       Impact factor: 11.205

7.  Regulatory architecture determines optimal regulation of gene expression in metabolic pathways.

Authors:  Victor Chubukov; Ignacio A Zuleta; Hao Li
Journal:  Proc Natl Acad Sci U S A       Date:  2012-03-13       Impact factor: 11.205

8.  Genetic variation in the Yolk protein expression network of Drosophila melanogaster: sex-biased negative correlations with longevity.

Authors:  A M Tarone; L M McIntyre; L G Harshman; S V Nuzhdin
Journal:  Heredity (Edinb)       Date:  2012-07-04       Impact factor: 3.821

9.  Contrasts between adaptive coding and noncoding changes during human evolution.

Authors:  Ralph Haygood; Courtney C Babbitt; Olivier Fedrigo; Gregory A Wray
Journal:  Proc Natl Acad Sci U S A       Date:  2010-04-12       Impact factor: 11.205

10.  A genetic linkage map of the mimetic butterfly Heliconius melpomene.

Authors:  Chris D Jiggins; Jesus Mavarez; Margarita Beltrán; W Owen McMillan; J Spencer Johnston; Eldredge Bermingham
Journal:  Genetics       Date:  2004-10-16       Impact factor: 4.562

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