Literature DB >> 12116480

Transformationalism, taxism, and developmental biology in systematics.

R Bang1, R DeSalle, W Wheeler.   

Abstract

Issues concerning transformational and taxic comparisons are central to understanding the impact of the recent proliferation of molecular developmental data on evolutionary biology. More importantly, an understanding of taxism and transformationalism in comparative biology is critical to assessing the impact of the recent developmental data on systematic theory and practice. We examine the philosophical and practical aspects of the transformational approach and the relevance of this approach to recent molecular-based developmental data. We also examine the theoretical basis of the taxic approach to molecular developmental data and suggest that developmental data are perfectly amenable to the taxic approach. Two recent examples from the molecular developmental biology literature--the evolution of insect wings and the evolution of dorsal ventral inversion in vertebrates and invertebrates--are used to compare the taxic and transformational approaches. We conclude that the transformational approach is entirely appropriate for ontogenetic studies and furthermore can serve as an excellent source of hypotheses about the evolution of characters. However, the taxic approach is the ultimate arbiter of these hypotheses.

Mesh:

Year:  2000        PMID: 12116480     DOI: 10.1080/10635150050207366

Source DB:  PubMed          Journal:  Syst Biol        ISSN: 1063-5157            Impact factor:   15.683


  3 in total

1.  Homology and homocracy revisited: gene expression patterns and hypotheses of homology.

Authors:  Mats E Svensson
Journal:  Dev Genes Evol       Date:  2004-06-23       Impact factor: 0.900

2.  Homology and ontogeny: pattern and process in comparative developmental biology.

Authors:  Gerhard Scholtz
Journal:  Theory Biosci       Date:  2005-09-23       Impact factor: 1.919

Review 3.  Embracing the comparative approach: how robust phylogenies and broader developmental sampling impacts the understanding of nervous system evolution.

Authors:  Andreas Hejnol; Christopher J Lowe
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2015-12-19       Impact factor: 6.237

  3 in total

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