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Modelling the evolution of transcription factor binding preferences in complex eukaryotes

Transcription factors (TFs) exert their regulatory action by binding to DNA with specific sequence preferences. However, different TFs can partially share their binding sequences due to their common evolutionary origin. This “redundancy” of binding defines a way of organizing TFs in “motif families”...

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Autores principales: Rosanova, Antonio, Colliva, Alberto, Osella, Matteo, Caselle, Michele
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5548724/
https://www.ncbi.nlm.nih.gov/pubmed/28790414
http://dx.doi.org/10.1038/s41598-017-07761-0
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author Rosanova, Antonio
Colliva, Alberto
Osella, Matteo
Caselle, Michele
author_facet Rosanova, Antonio
Colliva, Alberto
Osella, Matteo
Caselle, Michele
author_sort Rosanova, Antonio
collection PubMed
description Transcription factors (TFs) exert their regulatory action by binding to DNA with specific sequence preferences. However, different TFs can partially share their binding sequences due to their common evolutionary origin. This “redundancy” of binding defines a way of organizing TFs in “motif families” by grouping TFs with similar binding preferences. Since these ultimately define the TF target genes, the motif family organization entails information about the structure of transcriptional regulation as it has been shaped by evolution. Focusing on the human TF repertoire, we show that a one-parameter evolutionary model of the Birth-Death-Innovation type can explain the TF empirical repartition in motif families, and allows to highlight the relevant evolutionary forces at the origin of this organization. Moreover, the model allows to pinpoint few deviations from the neutral scenario it assumes: three over-expanded families (including HOX and FOX genes), a set of “singleton” TFs for which duplication seems to be selected against, and a higher-than-average rate of diversification of the binding preferences of TFs with a Zinc Finger DNA binding domain. Finally, a comparison of the TF motif family organization in different eukaryotic species suggests an increase of redundancy of binding with organism complexity.
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spelling pubmed-55487242017-08-09 Modelling the evolution of transcription factor binding preferences in complex eukaryotes Rosanova, Antonio Colliva, Alberto Osella, Matteo Caselle, Michele Sci Rep Article Transcription factors (TFs) exert their regulatory action by binding to DNA with specific sequence preferences. However, different TFs can partially share their binding sequences due to their common evolutionary origin. This “redundancy” of binding defines a way of organizing TFs in “motif families” by grouping TFs with similar binding preferences. Since these ultimately define the TF target genes, the motif family organization entails information about the structure of transcriptional regulation as it has been shaped by evolution. Focusing on the human TF repertoire, we show that a one-parameter evolutionary model of the Birth-Death-Innovation type can explain the TF empirical repartition in motif families, and allows to highlight the relevant evolutionary forces at the origin of this organization. Moreover, the model allows to pinpoint few deviations from the neutral scenario it assumes: three over-expanded families (including HOX and FOX genes), a set of “singleton” TFs for which duplication seems to be selected against, and a higher-than-average rate of diversification of the binding preferences of TFs with a Zinc Finger DNA binding domain. Finally, a comparison of the TF motif family organization in different eukaryotic species suggests an increase of redundancy of binding with organism complexity. Nature Publishing Group UK 2017-08-08 /pmc/articles/PMC5548724/ /pubmed/28790414 http://dx.doi.org/10.1038/s41598-017-07761-0 Text en © The Author(s) 2017 Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Rosanova, Antonio
Colliva, Alberto
Osella, Matteo
Caselle, Michele
Modelling the evolution of transcription factor binding preferences in complex eukaryotes
title Modelling the evolution of transcription factor binding preferences in complex eukaryotes
title_full Modelling the evolution of transcription factor binding preferences in complex eukaryotes
title_fullStr Modelling the evolution of transcription factor binding preferences in complex eukaryotes
title_full_unstemmed Modelling the evolution of transcription factor binding preferences in complex eukaryotes
title_short Modelling the evolution of transcription factor binding preferences in complex eukaryotes
title_sort modelling the evolution of transcription factor binding preferences in complex eukaryotes
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5548724/
https://www.ncbi.nlm.nih.gov/pubmed/28790414
http://dx.doi.org/10.1038/s41598-017-07761-0
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