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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2021-01-01
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Online Access: | https://doi.org/10.1038/s41598-020-79158-5 |
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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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