Evolution of regulatory sequences in 12 Drosophila species.

Characterization of the evolutionary constraints acting on cis-regulatory sequences is crucial to comparative genomics and provides key insights on the evolution of organismal diversity. We study the relationships among orthologous cis-regulatory modules (CRMs) in 12 Drosophila species, especially w...

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Main Authors: Jaebum Kim, Xin He, Saurabh Sinha
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2009-01-01
Series:PLoS Genetics
Online Access:http://europepmc.org/articles/PMC2607023?pdf=render
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spelling doaj-5c95e526eca64edea102e7a134abdd742020-11-24T21:41:38ZengPublic Library of Science (PLoS)PLoS Genetics1553-73901553-74042009-01-0151e100033010.1371/journal.pgen.1000330Evolution of regulatory sequences in 12 Drosophila species.Jaebum KimXin HeSaurabh SinhaCharacterization of the evolutionary constraints acting on cis-regulatory sequences is crucial to comparative genomics and provides key insights on the evolution of organismal diversity. We study the relationships among orthologous cis-regulatory modules (CRMs) in 12 Drosophila species, especially with respect to the evolution of transcription factor binding sites, and report statistical evidence in favor of key evolutionary hypotheses. Binding sites are found to have position-specific substitution rates. However, the selective forces at different positions of a site do not act independently, and the evidence suggests that constraints on sites are often based on their exact binding affinities. Binding site loss is seen to conform to a molecular clock hypothesis. The rate of site loss is transcription factor-specific and depends on the strength of binding and, in some cases, the presence of other binding sites in close proximity. Our analysis is based on a novel computational method for aligning orthologous CRMs on a tree, which rigorously accounts for alignment uncertainties and exploits binding site predictions through a unified probabilistic framework. Finally, we report weak purifying selection on short deletions, providing important clues about overall spatial constraints on CRMs. Our results present a complex picture of regulatory sequence evolution, with substantial plasticity that depends on a number of factors. The insights gained in this study will help us to understand the combinatorial control of gene regulation and how it evolves. They will pave the way for theoretical models that are cognizant of the important determinants of regulatory sequence evolution and will be critical in genome-wide identification of non-coding sequences under purifying or positive selection.http://europepmc.org/articles/PMC2607023?pdf=render
collection DOAJ
language English
format Article
sources DOAJ
author Jaebum Kim
Xin He
Saurabh Sinha
spellingShingle Jaebum Kim
Xin He
Saurabh Sinha
Evolution of regulatory sequences in 12 Drosophila species.
PLoS Genetics
author_facet Jaebum Kim
Xin He
Saurabh Sinha
author_sort Jaebum Kim
title Evolution of regulatory sequences in 12 Drosophila species.
title_short Evolution of regulatory sequences in 12 Drosophila species.
title_full Evolution of regulatory sequences in 12 Drosophila species.
title_fullStr Evolution of regulatory sequences in 12 Drosophila species.
title_full_unstemmed Evolution of regulatory sequences in 12 Drosophila species.
title_sort evolution of regulatory sequences in 12 drosophila species.
publisher Public Library of Science (PLoS)
series PLoS Genetics
issn 1553-7390
1553-7404
publishDate 2009-01-01
description Characterization of the evolutionary constraints acting on cis-regulatory sequences is crucial to comparative genomics and provides key insights on the evolution of organismal diversity. We study the relationships among orthologous cis-regulatory modules (CRMs) in 12 Drosophila species, especially with respect to the evolution of transcription factor binding sites, and report statistical evidence in favor of key evolutionary hypotheses. Binding sites are found to have position-specific substitution rates. However, the selective forces at different positions of a site do not act independently, and the evidence suggests that constraints on sites are often based on their exact binding affinities. Binding site loss is seen to conform to a molecular clock hypothesis. The rate of site loss is transcription factor-specific and depends on the strength of binding and, in some cases, the presence of other binding sites in close proximity. Our analysis is based on a novel computational method for aligning orthologous CRMs on a tree, which rigorously accounts for alignment uncertainties and exploits binding site predictions through a unified probabilistic framework. Finally, we report weak purifying selection on short deletions, providing important clues about overall spatial constraints on CRMs. Our results present a complex picture of regulatory sequence evolution, with substantial plasticity that depends on a number of factors. The insights gained in this study will help us to understand the combinatorial control of gene regulation and how it evolves. They will pave the way for theoretical models that are cognizant of the important determinants of regulatory sequence evolution and will be critical in genome-wide identification of non-coding sequences under purifying or positive selection.
url http://europepmc.org/articles/PMC2607023?pdf=render
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