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Formation of Regulatory Modules by Local Sequence Duplication

Overview of attention for article published in PLoS Computational Biology, October 2011
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Title
Formation of Regulatory Modules by Local Sequence Duplication
Published in
PLoS Computational Biology, October 2011
DOI 10.1371/journal.pcbi.1002167
Pubmed ID
Authors

Armita Nourmohammad, Michael Lässig

Abstract

Turnover of regulatory sequence and function is an important part of molecular evolution. But what are the modes of sequence evolution leading to rapid formation and loss of regulatory sites? Here we show that a large fraction of neighboring transcription factor binding sites in the fly genome have formed from a common sequence origin by local duplications. This mode of evolution is found to produce regulatory information: duplications can seed new sites in the neighborhood of existing sites. Duplicate seeds evolve subsequently by point mutations, often towards binding a different factor than their ancestral neighbor sites. These results are based on a statistical analysis of 346 cis-regulatory modules in the Drosophila melanogaster genome, and a comparison set of intergenic regulatory sequence in Saccharomyces cerevisiae. In fly regulatory modules, pairs of binding sites show significantly enhanced sequence similarity up to distances of about 50 bp. We analyze these data in terms of an evolutionary model with two distinct modes of site formation: (i) evolution from independent sequence origin and (ii) divergent evolution following duplication of a common ancestor sequence. Our results suggest that pervasive formation of binding sites by local sequence duplications distinguishes the complex regulatory architecture of higher eukaryotes from the simpler architecture of unicellular organisms.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 3 5%
United States 2 3%
France 1 2%
Canada 1 2%
Unknown 53 88%

Demographic breakdown

Readers by professional status Count As %
Researcher 21 35%
Student > Ph. D. Student 13 22%
Professor 10 17%
Student > Master 5 8%
Professor > Associate Professor 4 7%
Other 3 5%
Unknown 4 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 33 55%
Biochemistry, Genetics and Molecular Biology 9 15%
Computer Science 7 12%
Physics and Astronomy 2 3%
Social Sciences 1 2%
Other 3 5%
Unknown 5 8%