The common origin of symmetry and structure in genetic sequences
Abstract Biologists have long sought a way to explain how statistical properties of genetic sequences emerged and are maintained through evolution. On the one hand, non-random structures at different scales indicate a complex genome organisation. On the other hand, single-strand symmetry has been sc...
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2018-10-01
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doaj-52eda29828df448cb4e46d0353448ae02020-12-08T04:12:45ZengNature Publishing GroupScientific Reports2045-23222018-10-01811910.1038/s41598-018-34136-wThe common origin of symmetry and structure in genetic sequencesGiampaolo Cristadoro0Mirko Degli Esposti1Eduardo G. Altmann2Dipartimento di Matematica e Applicazioni, Università di Milano-BicoccaDipartimento di Informatica, Università di BolognaSchool of Mathematics and Statistics, University of SydneyAbstract Biologists have long sought a way to explain how statistical properties of genetic sequences emerged and are maintained through evolution. On the one hand, non-random structures at different scales indicate a complex genome organisation. On the other hand, single-strand symmetry has been scrutinised using neutral models in which correlations are not considered or irrelevant, contrary to empirical evidence. Different studies investigated these two statistical features separately, reaching minimal consensus despite sustained efforts. Here we unravel previously unknown symmetries in genetic sequences, which are organized hierarchically through scales in which non-random structures are known to be present. These observations are confirmed through the statistical analysis of the human genome and explained through a simple domain model. These results suggest that domain models which account for the cumulative action of mobile elements can explain simultaneously non-random structures and symmetries in genetic sequences.https://doi.org/10.1038/s41598-018-34136-wSimple Domain ModelComplex Genomic OrganizationChargaffTypical Cluster SizeSymmetry-related Pairs |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Giampaolo Cristadoro Mirko Degli Esposti Eduardo G. Altmann |
spellingShingle |
Giampaolo Cristadoro Mirko Degli Esposti Eduardo G. Altmann The common origin of symmetry and structure in genetic sequences Scientific Reports Simple Domain Model Complex Genomic Organization Chargaff Typical Cluster Size Symmetry-related Pairs |
author_facet |
Giampaolo Cristadoro Mirko Degli Esposti Eduardo G. Altmann |
author_sort |
Giampaolo Cristadoro |
title |
The common origin of symmetry and structure in genetic sequences |
title_short |
The common origin of symmetry and structure in genetic sequences |
title_full |
The common origin of symmetry and structure in genetic sequences |
title_fullStr |
The common origin of symmetry and structure in genetic sequences |
title_full_unstemmed |
The common origin of symmetry and structure in genetic sequences |
title_sort |
common origin of symmetry and structure in genetic sequences |
publisher |
Nature Publishing Group |
series |
Scientific Reports |
issn |
2045-2322 |
publishDate |
2018-10-01 |
description |
Abstract Biologists have long sought a way to explain how statistical properties of genetic sequences emerged and are maintained through evolution. On the one hand, non-random structures at different scales indicate a complex genome organisation. On the other hand, single-strand symmetry has been scrutinised using neutral models in which correlations are not considered or irrelevant, contrary to empirical evidence. Different studies investigated these two statistical features separately, reaching minimal consensus despite sustained efforts. Here we unravel previously unknown symmetries in genetic sequences, which are organized hierarchically through scales in which non-random structures are known to be present. These observations are confirmed through the statistical analysis of the human genome and explained through a simple domain model. These results suggest that domain models which account for the cumulative action of mobile elements can explain simultaneously non-random structures and symmetries in genetic sequences. |
topic |
Simple Domain Model Complex Genomic Organization Chargaff Typical Cluster Size Symmetry-related Pairs |
url |
https://doi.org/10.1038/s41598-018-34136-w |
work_keys_str_mv |
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