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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Main Authors: Giampaolo Cristadoro, Mirko Degli Esposti, Eduardo G. Altmann
Format: Article
Language:English
Published: Nature Publishing Group 2018-10-01
Series:Scientific Reports
Subjects:
Online Access:https://doi.org/10.1038/s41598-018-34136-w
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spelling 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
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