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Global properties of regulatory sequences are predicted by transcription factor recognition mechanisms

BACKGROUND: Mammalian genomes contain millions of putative regulatory sequences, which are delineated by binding of multiple transcription factors. The degree to which spacing and orientation constraints among transcription factor binding sites contribute to the recognition and identity of regulator...

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Autores principales: Patel, Zain M., Hughes, Timothy R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8496038/
https://www.ncbi.nlm.nih.gov/pubmed/34620190
http://dx.doi.org/10.1186/s13059-021-02503-y
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author Patel, Zain M.
Hughes, Timothy R.
author_facet Patel, Zain M.
Hughes, Timothy R.
author_sort Patel, Zain M.
collection PubMed
description BACKGROUND: Mammalian genomes contain millions of putative regulatory sequences, which are delineated by binding of multiple transcription factors. The degree to which spacing and orientation constraints among transcription factor binding sites contribute to the recognition and identity of regulatory sequence is an unresolved but important question that impacts our understanding of genome function and evolution. Global mechanisms that underlie phenomena including the size of regulatory sequences, their uniqueness, and their evolutionary turnover remain poorly described. RESULTS: Here, we ask whether models incorporating different degrees of spacing and orientation constraints among transcription factor binding sites are broadly consistent with several global properties of regulatory sequence. These properties include length, sequence diversity, turnover rate, and dominance of specific TFs in regulatory site identity and cell type specification. Models with and without spacing and orientation constraints are generally consistent with all observed properties of regulatory sequence, and with regulatory sequences being fundamentally small (~ 1 nucleosome). Uniqueness of regulatory regions and their rapid evolutionary turnover are expected under all models examined. An intriguing issue we identify is that the complexity of eukaryotic regulatory sites must scale with the number of active transcription factors, in order to accomplish observed specificity. CONCLUSIONS: Models of transcription factor binding with or without spacing and orientation constraints predict that regulatory sequences should be fundamentally short, unique, and turn over rapidly. We posit that the existence of master regulators may be, in part, a consequence of evolutionary pressure to limit the complexity and increase evolvability of regulatory sites. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13059-021-02503-y.
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spelling pubmed-84960382021-10-07 Global properties of regulatory sequences are predicted by transcription factor recognition mechanisms Patel, Zain M. Hughes, Timothy R. Genome Biol Research BACKGROUND: Mammalian genomes contain millions of putative regulatory sequences, which are delineated by binding of multiple transcription factors. The degree to which spacing and orientation constraints among transcription factor binding sites contribute to the recognition and identity of regulatory sequence is an unresolved but important question that impacts our understanding of genome function and evolution. Global mechanisms that underlie phenomena including the size of regulatory sequences, their uniqueness, and their evolutionary turnover remain poorly described. RESULTS: Here, we ask whether models incorporating different degrees of spacing and orientation constraints among transcription factor binding sites are broadly consistent with several global properties of regulatory sequence. These properties include length, sequence diversity, turnover rate, and dominance of specific TFs in regulatory site identity and cell type specification. Models with and without spacing and orientation constraints are generally consistent with all observed properties of regulatory sequence, and with regulatory sequences being fundamentally small (~ 1 nucleosome). Uniqueness of regulatory regions and their rapid evolutionary turnover are expected under all models examined. An intriguing issue we identify is that the complexity of eukaryotic regulatory sites must scale with the number of active transcription factors, in order to accomplish observed specificity. CONCLUSIONS: Models of transcription factor binding with or without spacing and orientation constraints predict that regulatory sequences should be fundamentally short, unique, and turn over rapidly. We posit that the existence of master regulators may be, in part, a consequence of evolutionary pressure to limit the complexity and increase evolvability of regulatory sites. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13059-021-02503-y. BioMed Central 2021-10-07 /pmc/articles/PMC8496038/ /pubmed/34620190 http://dx.doi.org/10.1186/s13059-021-02503-y Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Patel, Zain M.
Hughes, Timothy R.
Global properties of regulatory sequences are predicted by transcription factor recognition mechanisms
title Global properties of regulatory sequences are predicted by transcription factor recognition mechanisms
title_full Global properties of regulatory sequences are predicted by transcription factor recognition mechanisms
title_fullStr Global properties of regulatory sequences are predicted by transcription factor recognition mechanisms
title_full_unstemmed Global properties of regulatory sequences are predicted by transcription factor recognition mechanisms
title_short Global properties of regulatory sequences are predicted by transcription factor recognition mechanisms
title_sort global properties of regulatory sequences are predicted by transcription factor recognition mechanisms
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8496038/
https://www.ncbi.nlm.nih.gov/pubmed/34620190
http://dx.doi.org/10.1186/s13059-021-02503-y
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