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In silico evolution of the Drosophila gap gene regulatory sequence under elevated mutational pressure
BACKGROUND: Cis-regulatory sequences are often composed of many low-affinity transcription factor binding sites (TFBSs). Determining the evolutionary and functional importance of regulatory sequence composition is impeded without a detailed knowledge of the genotype-phenotype map. RESULTS: We simula...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5333172/ https://www.ncbi.nlm.nih.gov/pubmed/28251865 http://dx.doi.org/10.1186/s12862-016-0866-y |
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author | Chertkova, Aleksandra A. Schiffman, Joshua S. Nuzhdin, Sergey V. Kozlov, Konstantin N. Samsonova, Maria G. Gursky, Vitaly V. |
author_facet | Chertkova, Aleksandra A. Schiffman, Joshua S. Nuzhdin, Sergey V. Kozlov, Konstantin N. Samsonova, Maria G. Gursky, Vitaly V. |
author_sort | Chertkova, Aleksandra A. |
collection | PubMed |
description | BACKGROUND: Cis-regulatory sequences are often composed of many low-affinity transcription factor binding sites (TFBSs). Determining the evolutionary and functional importance of regulatory sequence composition is impeded without a detailed knowledge of the genotype-phenotype map. RESULTS: We simulate the evolution of regulatory sequences involved in Drosophila melanogaster embryo segmentation during early development. Natural selection evaluates gene expression dynamics produced by a computational model of the developmental network. We observe a dramatic decrease in the total number of transcription factor binding sites through the course of evolution. Despite a decrease in average sequence binding energies through time, the regulatory sequences tend towards organisations containing increased high affinity transcription factor binding sites. Additionally, the binding energies of separate sequence segments demonstrate ubiquitous mutual correlations through time. Fewer than 10% of initial TFBSs are maintained throughout the entire simulation, deemed ‘core’ sites. These sites have increased functional importance as assessed under wild-type conditions and their binding energy distributions are highly conserved. Furthermore, TFBSs within close proximity of core sites exhibit increased longevity, reflecting functional regulatory interactions with core sites. CONCLUSION: In response to elevated mutational pressure, evolution tends to sample regulatory sequence organisations with fewer, albeit on average, stronger functional transcription factor binding sites. These organisations are also shaped by the regulatory interactions among core binding sites with sites in their local vicinity. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12862-016-0866-y) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5333172 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-53331722017-03-06 In silico evolution of the Drosophila gap gene regulatory sequence under elevated mutational pressure Chertkova, Aleksandra A. Schiffman, Joshua S. Nuzhdin, Sergey V. Kozlov, Konstantin N. Samsonova, Maria G. Gursky, Vitaly V. BMC Evol Biol Research BACKGROUND: Cis-regulatory sequences are often composed of many low-affinity transcription factor binding sites (TFBSs). Determining the evolutionary and functional importance of regulatory sequence composition is impeded without a detailed knowledge of the genotype-phenotype map. RESULTS: We simulate the evolution of regulatory sequences involved in Drosophila melanogaster embryo segmentation during early development. Natural selection evaluates gene expression dynamics produced by a computational model of the developmental network. We observe a dramatic decrease in the total number of transcription factor binding sites through the course of evolution. Despite a decrease in average sequence binding energies through time, the regulatory sequences tend towards organisations containing increased high affinity transcription factor binding sites. Additionally, the binding energies of separate sequence segments demonstrate ubiquitous mutual correlations through time. Fewer than 10% of initial TFBSs are maintained throughout the entire simulation, deemed ‘core’ sites. These sites have increased functional importance as assessed under wild-type conditions and their binding energy distributions are highly conserved. Furthermore, TFBSs within close proximity of core sites exhibit increased longevity, reflecting functional regulatory interactions with core sites. CONCLUSION: In response to elevated mutational pressure, evolution tends to sample regulatory sequence organisations with fewer, albeit on average, stronger functional transcription factor binding sites. These organisations are also shaped by the regulatory interactions among core binding sites with sites in their local vicinity. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12862-016-0866-y) contains supplementary material, which is available to authorized users. BioMed Central 2017-02-07 /pmc/articles/PMC5333172/ /pubmed/28251865 http://dx.doi.org/10.1186/s12862-016-0866-y Text en © The Author(s) 2017 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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 Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Chertkova, Aleksandra A. Schiffman, Joshua S. Nuzhdin, Sergey V. Kozlov, Konstantin N. Samsonova, Maria G. Gursky, Vitaly V. In silico evolution of the Drosophila gap gene regulatory sequence under elevated mutational pressure |
title | In silico evolution of the Drosophila gap gene regulatory sequence under elevated mutational pressure |
title_full | In silico evolution of the Drosophila gap gene regulatory sequence under elevated mutational pressure |
title_fullStr | In silico evolution of the Drosophila gap gene regulatory sequence under elevated mutational pressure |
title_full_unstemmed | In silico evolution of the Drosophila gap gene regulatory sequence under elevated mutational pressure |
title_short | In silico evolution of the Drosophila gap gene regulatory sequence under elevated mutational pressure |
title_sort | in silico evolution of the drosophila gap gene regulatory sequence under elevated mutational pressure |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5333172/ https://www.ncbi.nlm.nih.gov/pubmed/28251865 http://dx.doi.org/10.1186/s12862-016-0866-y |
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