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Around the clock: gradient shape and noise impact the evolution of oscillatory segmentation dynamics

BACKGROUND: Segmentation, the subdivision of the major body axis into repeated elements, is considered one of the major evolutionary innovations in bilaterian animals. In all three segmented animal clades, the predominant segmentation mechanism is sequential segmentation, where segments are generate...

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Autores principales: Vroomans, Renske M. A., Hogeweg, Paulien, ten Tusscher, Kirsten H. W. J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6288972/
https://www.ncbi.nlm.nih.gov/pubmed/30555670
http://dx.doi.org/10.1186/s13227-018-0113-2
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author Vroomans, Renske M. A.
Hogeweg, Paulien
ten Tusscher, Kirsten H. W. J.
author_facet Vroomans, Renske M. A.
Hogeweg, Paulien
ten Tusscher, Kirsten H. W. J.
author_sort Vroomans, Renske M. A.
collection PubMed
description BACKGROUND: Segmentation, the subdivision of the major body axis into repeated elements, is considered one of the major evolutionary innovations in bilaterian animals. In all three segmented animal clades, the predominant segmentation mechanism is sequential segmentation, where segments are generated one by one in anterior–posterior order from a posterior undifferentiated zone. In vertebrates and arthropods, sequential segmentation is thought to arise from a clock-and-wavefront-type mechanism, where oscillations in the posterior growth zone are transformed into a segmental prepattern in the anterior by a receding wavefront. Previous evo-devo simulation studies have demonstrated that this segmentation type repeatedly arises, supporting the idea of parallel evolutionary origins in these animal clades. Sequential segmentation has been studied most extensively in vertebrates, where travelling waves have been observed that reflect the slowing down of oscillations prior to their cessation and where these oscillations involve a highly complex regulatory network. It is currently unclear under which conditions this oscillator complexity and slowing should be expected to evolve, how they are related and to what extent similar properties should be expected for sequential segmentation in other animal species. RESULTS: To investigate these questions, we extend a previously developed computational model for the evolution of segmentation. We vary the slope of the posterior morphogen gradient and the strength of gene expression noise. We find that compared to a shallow gradient, a steep morphogen gradient allows for faster evolution and evolved oscillator networks are simpler. Furthermore, under steep gradients, damped oscillators often evolve, whereas shallow gradients appear to require persistent oscillators which are regularly accompanied by travelling waves, indicative of a frequency gradient. We show that gene expression noise increases the likelihood of evolving persistent oscillators under steep gradients and of evolving frequency gradients under shallow gradients. Surprisingly, we find that the evolutions of oscillator complexity and travelling waves are not correlated, suggesting that these properties may have evolved separately. CONCLUSIONS: Based on our findings, we suggest that travelling waves may have evolved in response to shallow morphogen gradients and gene expression noise. These two factors may thus also be responsible for the observed differences between different species within both the arthropod and chordate phyla. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13227-018-0113-2) contains supplementary material, which is available to authorized users.
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spelling pubmed-62889722018-12-14 Around the clock: gradient shape and noise impact the evolution of oscillatory segmentation dynamics Vroomans, Renske M. A. Hogeweg, Paulien ten Tusscher, Kirsten H. W. J. EvoDevo Research BACKGROUND: Segmentation, the subdivision of the major body axis into repeated elements, is considered one of the major evolutionary innovations in bilaterian animals. In all three segmented animal clades, the predominant segmentation mechanism is sequential segmentation, where segments are generated one by one in anterior–posterior order from a posterior undifferentiated zone. In vertebrates and arthropods, sequential segmentation is thought to arise from a clock-and-wavefront-type mechanism, where oscillations in the posterior growth zone are transformed into a segmental prepattern in the anterior by a receding wavefront. Previous evo-devo simulation studies have demonstrated that this segmentation type repeatedly arises, supporting the idea of parallel evolutionary origins in these animal clades. Sequential segmentation has been studied most extensively in vertebrates, where travelling waves have been observed that reflect the slowing down of oscillations prior to their cessation and where these oscillations involve a highly complex regulatory network. It is currently unclear under which conditions this oscillator complexity and slowing should be expected to evolve, how they are related and to what extent similar properties should be expected for sequential segmentation in other animal species. RESULTS: To investigate these questions, we extend a previously developed computational model for the evolution of segmentation. We vary the slope of the posterior morphogen gradient and the strength of gene expression noise. We find that compared to a shallow gradient, a steep morphogen gradient allows for faster evolution and evolved oscillator networks are simpler. Furthermore, under steep gradients, damped oscillators often evolve, whereas shallow gradients appear to require persistent oscillators which are regularly accompanied by travelling waves, indicative of a frequency gradient. We show that gene expression noise increases the likelihood of evolving persistent oscillators under steep gradients and of evolving frequency gradients under shallow gradients. Surprisingly, we find that the evolutions of oscillator complexity and travelling waves are not correlated, suggesting that these properties may have evolved separately. CONCLUSIONS: Based on our findings, we suggest that travelling waves may have evolved in response to shallow morphogen gradients and gene expression noise. These two factors may thus also be responsible for the observed differences between different species within both the arthropod and chordate phyla. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13227-018-0113-2) contains supplementary material, which is available to authorized users. BioMed Central 2018-12-10 /pmc/articles/PMC6288972/ /pubmed/30555670 http://dx.doi.org/10.1186/s13227-018-0113-2 Text en © The Author(s) 2018 Open AccessThis 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
Vroomans, Renske M. A.
Hogeweg, Paulien
ten Tusscher, Kirsten H. W. J.
Around the clock: gradient shape and noise impact the evolution of oscillatory segmentation dynamics
title Around the clock: gradient shape and noise impact the evolution of oscillatory segmentation dynamics
title_full Around the clock: gradient shape and noise impact the evolution of oscillatory segmentation dynamics
title_fullStr Around the clock: gradient shape and noise impact the evolution of oscillatory segmentation dynamics
title_full_unstemmed Around the clock: gradient shape and noise impact the evolution of oscillatory segmentation dynamics
title_short Around the clock: gradient shape and noise impact the evolution of oscillatory segmentation dynamics
title_sort around the clock: gradient shape and noise impact the evolution of oscillatory segmentation dynamics
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6288972/
https://www.ncbi.nlm.nih.gov/pubmed/30555670
http://dx.doi.org/10.1186/s13227-018-0113-2
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