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Reusable building blocks in biological systems

One of the most widely recognized features of biological systems is their modularity. The modules that constitute biological systems are said to be redeployed and combined across several conditions, thus acting as building blocks. In this work, we analyse to what extent are these building blocks reu...

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Detalles Bibliográficos
Autores principales: Mireles, Victor, Conrad, Tim O. F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6303794/
https://www.ncbi.nlm.nih.gov/pubmed/30958230
http://dx.doi.org/10.1098/rsif.2018.0595
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author Mireles, Victor
Conrad, Tim O. F.
author_facet Mireles, Victor
Conrad, Tim O. F.
author_sort Mireles, Victor
collection PubMed
description One of the most widely recognized features of biological systems is their modularity. The modules that constitute biological systems are said to be redeployed and combined across several conditions, thus acting as building blocks. In this work, we analyse to what extent are these building blocks reusable as compared with those found in randomized versions of a system. We develop a notion of decompositions of systems into phenotypic building blocks, which allows them to overlap while maximizing the number of times a building block is reused across several conditions. Different biological systems present building blocks whose reusability ranges from single use (e.g. condition specific) to constitutive, although their average reusability is not always higher than random equivalents of the system. These decompositions reveal a distinct distribution of building block sizes in real biological systems. This distribution stems, in part, from the peculiar usage pattern of the elements of biological systems, and constitutes a new angle to study the evolution of modularity.
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spelling pubmed-63037942018-12-26 Reusable building blocks in biological systems Mireles, Victor Conrad, Tim O. F. J R Soc Interface Life Sciences–Mathematics interface One of the most widely recognized features of biological systems is their modularity. The modules that constitute biological systems are said to be redeployed and combined across several conditions, thus acting as building blocks. In this work, we analyse to what extent are these building blocks reusable as compared with those found in randomized versions of a system. We develop a notion of decompositions of systems into phenotypic building blocks, which allows them to overlap while maximizing the number of times a building block is reused across several conditions. Different biological systems present building blocks whose reusability ranges from single use (e.g. condition specific) to constitutive, although their average reusability is not always higher than random equivalents of the system. These decompositions reveal a distinct distribution of building block sizes in real biological systems. This distribution stems, in part, from the peculiar usage pattern of the elements of biological systems, and constitutes a new angle to study the evolution of modularity. The Royal Society 2018-12 2018-12-19 /pmc/articles/PMC6303794/ /pubmed/30958230 http://dx.doi.org/10.1098/rsif.2018.0595 Text en © 2018 The Authors. http://creativecommons.org/licenses/by/4.0/ Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited.
spellingShingle Life Sciences–Mathematics interface
Mireles, Victor
Conrad, Tim O. F.
Reusable building blocks in biological systems
title Reusable building blocks in biological systems
title_full Reusable building blocks in biological systems
title_fullStr Reusable building blocks in biological systems
title_full_unstemmed Reusable building blocks in biological systems
title_short Reusable building blocks in biological systems
title_sort reusable building blocks in biological systems
topic Life Sciences–Mathematics interface
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6303794/
https://www.ncbi.nlm.nih.gov/pubmed/30958230
http://dx.doi.org/10.1098/rsif.2018.0595
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