Literature DB >> 20394064

Deep homology: a view from systematics.

Robert W Scotland1.   

Abstract

Over the past decade, it has been discovered that disparate aspects of morphology - often of distantly related groups of organisms - are regulated by the same genetic regulatory mechanisms. Those discoveries provide a new perspective on morphological evolutionary change. A conceptual framework for exploring these research findings is termed 'deep homology'. A comparative framework for morphological relations of homology is provided that distinguishes analogy, homoplasy, plesiomorphy and synapomorphy. Four examples - three from plants and one from animals - demonstrate that homologous developmental mechanisms can regulate a range of morphological relations including analogy, homoplasy and examples of uncertain homology. Deep homology is part of a much wider range of phenomena in which biological (genes, regulatory mechanisms, morphological traits) and phylogenetic levels of homology can both be disassociated. Therefore, to understand homology, precise, comparative, independent statements of both biological and phylogenetic levels of homology are necessary.

Mesh:

Year:  2010        PMID: 20394064     DOI: 10.1002/bies.200900175

Source DB:  PubMed          Journal:  Bioessays        ISSN: 0265-9247            Impact factor:   4.345


  19 in total

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Journal:  J Plant Res       Date:  2018-03-27       Impact factor: 2.629

6.  The Search for Common Origin: Homology Revisited.

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Authors:  Thomas Desvignes; Andrew Carey; John H Postlethwait
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8.  Perspectives on the history of evo-devo and the contemporary research landscape in the genomics era.

Authors:  Cheryll Tickle; Araxi O Urrutia
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2017-02-05       Impact factor: 6.237

9.  A Logical Model of Homology for Comparative Biology.

Authors:  Paula M Mabee; James P Balhoff; Wasila M Dahdul; Hilmar Lapp; Christopher J Mungall; Todd J Vision
Journal:  Syst Biol       Date:  2020-03-01       Impact factor: 15.683

10.  Using genetic networks and homology to understand the evolution of phenotypic traits.

Authors:  Amy R McCune; John C Schimenti
Journal:  Curr Genomics       Date:  2012-03       Impact factor: 2.236

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