Literature DB >> 12142278

Gene co-option in physiological and morphological evolution.

John R True1, Sean B Carroll.   

Abstract

Co-option occurs when natural selection finds new uses for existing traits, including genes, organs, and other body structures. Genes can be co-opted to generate developmental and physiological novelties by changing their patterns of regulation, by changing the functions of the proteins they encode, or both. This often involves gene duplication followed by specialization of the resulting paralogous genes into particular functions. A major role for gene co-option in the evolution of development has long been assumed, and many recent comparative developmental and genomic studies have lent support to this idea. Although there is relatively less known about the molecular basis of co-option events involving developmental pathways, much can be drawn from well-studied examples of the co-option of structural proteins. Here, we summarize several case studies of both structural gene and developmental genetic circuit co-option and discuss how co-option may underlie major episodes of adaptive change in multicellular organisms. We also examine the phenomenon of intraspecific variability in gene expression patterns, which we propose to be one form of material for the co-option process. We integrate this information with recent models of gene family evolution to provide a framework for understanding the origin of co-optive evolution and the mechanisms by which natural selection promotes evolutionary novelty by inventing new uses for the genetic toolkit.

Mesh:

Year:  2002        PMID: 12142278     DOI: 10.1146/annurev.cellbio.18.020402.140619

Source DB:  PubMed          Journal:  Annu Rev Cell Dev Biol        ISSN: 1081-0706            Impact factor:   13.827


  141 in total

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Authors:  April Harlin-Cognato; Eric A Hoffman; Adam G Jones
Journal:  Proc Natl Acad Sci U S A       Date:  2006-12-08       Impact factor: 11.205

9.  Polymorphism and Divergence of Novel Gene Expression Patterns in Drosophila melanogaster.

Authors:  Julie M Cridland; Alex C Majane; Hayley K Sheehy; David J Begun
Journal:  Genetics       Date:  2020-07-31       Impact factor: 4.562

10.  A maximum likelihood method for detecting functional divergence at individual codon sites, with application to gene family evolution.

Authors:  Joseph P Bielawski; Ziheng Yang
Journal:  J Mol Evol       Date:  2004-07       Impact factor: 2.395

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