Literature DB >> 15585523

Convergent evolution of domain architectures (is rare).

Julian Gough1.   

Abstract

MOTIVATION: In this paper, we shall examine the evolution of domain architectures across 62 genomes of known phylogeny including all kingdoms of life. We look in particular at the possibility of convergent evolution, with a view to determining the extent to which the architectures observed in the genomes are due to functional necessity or evolutionary descent. We used domains of known structure, because from this and other information we know their evolutionary relationships. We use a range of methods including phylogenetic grouping, sequence similarity/alignment, mutation rates and comparative genomics to approach this difficult problem from several angles.
RESULTS: Although we do not claim an exhaustive analysis, we conclude that between 0.4 and 4% of sequences are involved in convergent evolution of domain architectures, and expect the actual number to be close to the lower bound. We also made two incidental observations, albeit on a small sample: the events leading to convergent evolution appear to be random with no functional or structural preferences, and changes in the number of tandem repeat domains occur more readily than changes which alter the domain composition.
CONCLUSION: The principal conclusion is that the observed domain architectures of the sequences in the genomes are driven by evolutionary descent rather than functional necessity. CONTACT: gough@supfam.org.

Mesh:

Substances:

Year:  2004        PMID: 15585523     DOI: 10.1093/bioinformatics/bti204

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  74 in total

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4.  Evolution and structural diversification of Nictaba-like lectin genes in food crops with a focus on soybean (Glycine max).

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6.  Reductive evolution of architectural repertoires in proteomes and the birth of the tripartite world.

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7.  Domain shuffling and the evolution of vertebrates.

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8.  Domain mobility in proteins: functional and evolutionary implications.

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Journal:  Brief Bioinform       Date:  2009-01-16       Impact factor: 11.622

9.  The architectural design of networks of protein domain architectures.

Authors:  Chia-Hsin Hsu; Chien-Kuo Chen; Ming-Jing Hwang
Journal:  Biol Lett       Date:  2013-06-12       Impact factor: 3.703

10.  Detecting evolutionary relationships across existing fold space, using sequence order-independent profile-profile alignments.

Authors:  Lei Xie; Philip E Bourne
Journal:  Proc Natl Acad Sci U S A       Date:  2008-04-02       Impact factor: 11.205

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