Spatial modeling of biological patterns shows multiscale organization of Arabidopsis thaliana heterochromatin

Abstract The spatial organization in the cell nucleus is tightly linked to genome functions such as gene regulation. Similarly, specific spatial arrangements of biological components such as macromolecular complexes, organelles and cells are involved in many biological functions. Spatial interaction...

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Main Authors: Javier Arpòn, Kaori Sakai, Valérie Gaudin, Philippe Andrey
Format: Article
Language:English
Published: Nature Publishing Group 2021-01-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-020-79158-5
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spelling doaj-18535a34f0d2423b9e056d75a3f488ab2021-01-17T12:33:22ZengNature Publishing GroupScientific Reports2045-23222021-01-0111111710.1038/s41598-020-79158-5Spatial modeling of biological patterns shows multiscale organization of Arabidopsis thaliana heterochromatinJavier Arpòn0Kaori Sakai1Valérie Gaudin2Philippe Andrey3Institut Jean-Pierre Bourgin, INRAE, AgroParisTech, Université Paris-SaclayInstitut Jean-Pierre Bourgin, INRAE, AgroParisTech, Université Paris-SaclayInstitut Jean-Pierre Bourgin, INRAE, AgroParisTech, Université Paris-SaclayInstitut Jean-Pierre Bourgin, INRAE, AgroParisTech, Université Paris-SaclayAbstract The spatial organization in the cell nucleus is tightly linked to genome functions such as gene regulation. Similarly, specific spatial arrangements of biological components such as macromolecular complexes, organelles and cells are involved in many biological functions. Spatial interactions among elementary components of biological systems define their relative positioning and are key determinants of spatial patterns. However, biological variability and the lack of appropriate spatial statistical methods and models limit our current ability to analyze these interactions. Here, we developed a framework to dissect spatial interactions and organization principles by combining unbiased statistical tests, multiple spatial descriptors and new spatial models. We used plant constitutive heterochromatin as a model system to demonstrate the potential of our framework. Our results challenge the common view of a peripheral organization of chromocenters, showing that chromocenters are arranged along both radial and lateral directions in the nuclear space and obey a multiscale organization with scale-dependent antagonistic effects. The proposed generic framework will be useful to identify determinants of spatial organizations and to question their interplay with biological functions.https://doi.org/10.1038/s41598-020-79158-5
collection DOAJ
language English
format Article
sources DOAJ
author Javier Arpòn
Kaori Sakai
Valérie Gaudin
Philippe Andrey
spellingShingle Javier Arpòn
Kaori Sakai
Valérie Gaudin
Philippe Andrey
Spatial modeling of biological patterns shows multiscale organization of Arabidopsis thaliana heterochromatin
Scientific Reports
author_facet Javier Arpòn
Kaori Sakai
Valérie Gaudin
Philippe Andrey
author_sort Javier Arpòn
title Spatial modeling of biological patterns shows multiscale organization of Arabidopsis thaliana heterochromatin
title_short Spatial modeling of biological patterns shows multiscale organization of Arabidopsis thaliana heterochromatin
title_full Spatial modeling of biological patterns shows multiscale organization of Arabidopsis thaliana heterochromatin
title_fullStr Spatial modeling of biological patterns shows multiscale organization of Arabidopsis thaliana heterochromatin
title_full_unstemmed Spatial modeling of biological patterns shows multiscale organization of Arabidopsis thaliana heterochromatin
title_sort spatial modeling of biological patterns shows multiscale organization of arabidopsis thaliana heterochromatin
publisher Nature Publishing Group
series Scientific Reports
issn 2045-2322
publishDate 2021-01-01
description Abstract The spatial organization in the cell nucleus is tightly linked to genome functions such as gene regulation. Similarly, specific spatial arrangements of biological components such as macromolecular complexes, organelles and cells are involved in many biological functions. Spatial interactions among elementary components of biological systems define their relative positioning and are key determinants of spatial patterns. However, biological variability and the lack of appropriate spatial statistical methods and models limit our current ability to analyze these interactions. Here, we developed a framework to dissect spatial interactions and organization principles by combining unbiased statistical tests, multiple spatial descriptors and new spatial models. We used plant constitutive heterochromatin as a model system to demonstrate the potential of our framework. Our results challenge the common view of a peripheral organization of chromocenters, showing that chromocenters are arranged along both radial and lateral directions in the nuclear space and obey a multiscale organization with scale-dependent antagonistic effects. The proposed generic framework will be useful to identify determinants of spatial organizations and to question their interplay with biological functions.
url https://doi.org/10.1038/s41598-020-79158-5
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AT valeriegaudin spatialmodelingofbiologicalpatternsshowsmultiscaleorganizationofarabidopsisthalianaheterochromatin
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