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  5. Integrated analysis sheds light on evolutionary trajectories of young transcription start sites in the human genome
 
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Integrated analysis sheds light on evolutionary trajectories of young transcription start sites in the human genome
File(s)
Genome Res.-2018-Li-gr.231449.117.pdf (1.95 MB)
Published version
OA Location
https://genome.cshlp.org/content/early/2018/04/11/gr.231449.117.long
Author(s)
Li, Cai
Lenhard, Boris
Luscombe, Nicholas M
Type
Journal Article
Abstract
Understanding the molecular mechanisms and evolution of the gene regulatory system remains a major challenge in biology. Transcription start sites (TSSs) are especially interesting because they are central to initiating gene expression. Previous studies revealed widespread transcription initiation and fast turnover of TSSs in mammalian genomes. Yet, how new TSSs originate and how they evolve over time remain poorly understood. To address these questions, we analyzed ∼200,000 human TSSs by integrating evolutionary (inter- and intra-species) and functional genomic data, particularly focusing on evolutionarily young TSSs that emerged in the primate lineage. TSSs were grouped according to their evolutionary age using sequence alignment information as a proxy. Comparisons of young and old TSSs revealed that (1) new TSSs emerge through a combination of intrinsic factors, like the sequence properties of transposable elements and tandem repeats, and extrinsic factors such as their proximity to existing regulatory modules; (2) new TSSs undergo rapid evolution that reduces the inherent instability of repeat sequences associated with a high propensity of TSS emergence; and (3) once established, the transcriptional competence of surviving TSSs is gradually enhanced, with evolutionary changes subject to temporal (fewer regulatory changes in younger TSSs) and spatial constraints (fewer regulatory changes in more isolated TSSs). These findings advance our understanding of how regulatory innovations arise in the genome throughout evolution and highlight the genomic robustness and evolvability in these processes.
Date Issued
2018-05-01
Date Acceptance
2018-03-21
Citation
Genome Research, 2018, 28 (5), pp.676-688
URI
http://hdl.handle.net/10044/1/59023
DOI
https://www.dx.doi.org/10.1101/gr.231449.117
ISSN
1088-9051
Publisher
Cold Spring Harbor Laboratory Press
Start Page
676
End Page
688
Journal / Book Title
Genome Research
Volume
28
Issue
5
Copyright Statement
© 2018 Li et al.; Published by Cold Spring Harbor Laboratory Press. This article, published in Genome Research, is available under a Creative Commons License (Attribution 4.0 International), as described at http://creativecommons.org/licenses/by/4.0/.
Sponsor
Biotechnology and Biological Sciences Research Council (BBSRC)
Wellcome Trust
Identifier
https://www.ncbi.nlm.nih.gov/pubmed/29618487
PII: gr.231449.117
Grant Number
BB/L00741X/1
106954/Z/15/Z
Subjects
06 Biological Sciences
11 Medical And Health Sciences
Bioinformatics
Publication Status
Published
Coverage Spatial
United States
Date Publish Online
2018-04-04
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