Literature DB >> 17109184

Compensatory vs. pseudocompensatory evolution in molecular and developmental interactions.

Eric S Haag1.   

Abstract

The evolution of molecules, developmental circuits, and new species are all characterized by the accumulation of incompatibilities between ancestors and descendants. When specific interactions between components are necessary at any of these levels, this requires compensatory coevolution. Theoretical treatments of compensatory evolution that only consider the endpoints predict that it should be rare because intermediate states are deleterious. However, empirical data suggest that compensatory evolution is common at all levels of molecular interaction. A general solution to this paradox is provided by plausible neutral or nearly neutral intermediates that possess informational redundancy. These intermediates provide an evolutionary path between coadapted allelic combinations. Although they allow incompatible end points to evolve, at no point was a deleterious mutation ever in need of compensation. As a result, what appears to be compensatory evolution may often actually be "pseudocompensatory." Both theoretical and empirical studies indicate that pseudocompensation can speed the evolution of intergenic incompatibility, especially when driven by adaptation. However, under strong stabilizing selection the rate of pseudocompensatory evolution is still significant. Important examples of this process at work discussed here include the evolution of rRNA secondary structures, intra- and inter-protein interactions, and developmental genetic pathways. Future empirical work in this area should focus on comparing the details of intra- and intergenic interactions in closely related organisms.

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Year:  2006        PMID: 17109184     DOI: 10.1007/s10709-006-0032-3

Source DB:  PubMed          Journal:  Genetica        ISSN: 0016-6707            Impact factor:   1.082


  29 in total

1.  Identification of a conserved interface between PUF and CPEB proteins.

Authors:  Zachary T Campbell; Elena Menichelli; Kyle Friend; Joann Wu; Judith Kimble; James R Williamson; Marvin Wickens
Journal:  J Biol Chem       Date:  2012-04-11       Impact factor: 5.157

Review 2.  Experimental approaches to evaluate the contributions of candidate protein-coding mutations to phenotypic evolution.

Authors:  Jay F Storz; Anthony J Zera
Journal:  Methods Mol Biol       Date:  2011

3.  Regulatory divergence in Drosophila melanogaster and D. simulans, a genomewide analysis of allele-specific expression.

Authors:  Rita M Graze; Lauren M McIntyre; Bradley J Main; Marta L Wayne; Sergey V Nuzhdin
Journal:  Genetics       Date:  2009-08-10       Impact factor: 4.562

4.  Hybrid incompatibility despite pleiotropic constraint in a sequence-based bioenergetic model of transcription factor binding.

Authors:  Alexander Y Tulchinsky; Norman A Johnson; Adam H Porter
Journal:  Genetics       Date:  2014-10-13       Impact factor: 4.562

Review 5.  From "the Worm" to "the Worms" and Back Again: The Evolutionary Developmental Biology of Nematodes.

Authors:  Eric S Haag; David H A Fitch; Marie Delattre
Journal:  Genetics       Date:  2018-10       Impact factor: 4.562

Review 6.  Weak selection and protein evolution.

Authors:  Hiroshi Akashi; Naoki Osada; Tomoko Ohta
Journal:  Genetics       Date:  2012-09       Impact factor: 4.562

7.  Hybrid incompatibility arises in a sequence-based bioenergetic model of transcription factor binding.

Authors:  Alexander Y Tulchinsky; Norman A Johnson; Ward B Watt; Adam H Porter
Journal:  Genetics       Date:  2014-08-29       Impact factor: 4.562

Review 8.  Effects of stress and aging on ribonucleoprotein assembly and function in the germ line.

Authors:  Jennifer A Schisa
Journal:  Wiley Interdiscip Rev RNA       Date:  2013-11-13       Impact factor: 9.957

9.  Compensatory evolution and the origins of innovations.

Authors:  Etienne Rajon; Joanna Masel
Journal:  Genetics       Date:  2013-01-18       Impact factor: 4.562

10.  Multidimensional adaptive evolution of a feed-forward network and the illusion of compensation.

Authors:  Kevin Bullaughey
Journal:  Evolution       Date:  2012-08-06       Impact factor: 3.694

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