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From Molecules to Life: Quantifying the Complexity of Chemical and Biological Systems in the Universe

Life is a complex phenomenon and much research has been devoted to both understanding its origins from prebiotic chemistry and discovering life beyond Earth. Yet, it has remained elusive how to quantify this complexity and how to compare chemical and biological units on one common scale. Here, a mat...

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Autor principal: Böttcher, Thomas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5794832/
https://www.ncbi.nlm.nih.gov/pubmed/29260254
http://dx.doi.org/10.1007/s00239-017-9824-6
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author Böttcher, Thomas
author_facet Böttcher, Thomas
author_sort Böttcher, Thomas
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description Life is a complex phenomenon and much research has been devoted to both understanding its origins from prebiotic chemistry and discovering life beyond Earth. Yet, it has remained elusive how to quantify this complexity and how to compare chemical and biological units on one common scale. Here, a mathematical description of molecular complexity was applied allowing to quantitatively assess complexity of chemical structures. This in combination with the orthogonal measure of information complexity resulted in a two-dimensional complexity space ranging over the entire spectrum from molecules to organisms. Entities with a certain level of information complexity directly require a functionally complex mechanism for their production or replication and are hence indicative for life-like systems. In order to describe entities combining molecular and information complexity, the term biogenic unit was introduced. Exemplified biogenic unit complexities were calculated for ribozymes, protein enzymes, multimeric protein complexes, and even an entire virus particle. Complexities of prokaryotic and eukaryotic cells, as well as multicellular organisms, were estimated. Thereby distinct evolutionary stages in complexity space were identified. The here developed approach to compare the complexity of biogenic units allows for the first time to address the gradual characteristics of prebiotic and life-like systems without the need for a definition of life. This operational concept may guide our search for life in the Universe, and it may direct the investigations of prebiotic trajectories that lead towards the evolution of complexity at the origins of life. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s00239-017-9824-6) contains supplementary material, which is available to authorized users.
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spelling pubmed-57948322018-02-05 From Molecules to Life: Quantifying the Complexity of Chemical and Biological Systems in the Universe Böttcher, Thomas J Mol Evol Original Article Life is a complex phenomenon and much research has been devoted to both understanding its origins from prebiotic chemistry and discovering life beyond Earth. Yet, it has remained elusive how to quantify this complexity and how to compare chemical and biological units on one common scale. Here, a mathematical description of molecular complexity was applied allowing to quantitatively assess complexity of chemical structures. This in combination with the orthogonal measure of information complexity resulted in a two-dimensional complexity space ranging over the entire spectrum from molecules to organisms. Entities with a certain level of information complexity directly require a functionally complex mechanism for their production or replication and are hence indicative for life-like systems. In order to describe entities combining molecular and information complexity, the term biogenic unit was introduced. Exemplified biogenic unit complexities were calculated for ribozymes, protein enzymes, multimeric protein complexes, and even an entire virus particle. Complexities of prokaryotic and eukaryotic cells, as well as multicellular organisms, were estimated. Thereby distinct evolutionary stages in complexity space were identified. The here developed approach to compare the complexity of biogenic units allows for the first time to address the gradual characteristics of prebiotic and life-like systems without the need for a definition of life. This operational concept may guide our search for life in the Universe, and it may direct the investigations of prebiotic trajectories that lead towards the evolution of complexity at the origins of life. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s00239-017-9824-6) contains supplementary material, which is available to authorized users. Springer US 2017-12-19 2018 /pmc/articles/PMC5794832/ /pubmed/29260254 http://dx.doi.org/10.1007/s00239-017-9824-6 Text en © The Author(s) 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Original Article
Böttcher, Thomas
From Molecules to Life: Quantifying the Complexity of Chemical and Biological Systems in the Universe
title From Molecules to Life: Quantifying the Complexity of Chemical and Biological Systems in the Universe
title_full From Molecules to Life: Quantifying the Complexity of Chemical and Biological Systems in the Universe
title_fullStr From Molecules to Life: Quantifying the Complexity of Chemical and Biological Systems in the Universe
title_full_unstemmed From Molecules to Life: Quantifying the Complexity of Chemical and Biological Systems in the Universe
title_short From Molecules to Life: Quantifying the Complexity of Chemical and Biological Systems in the Universe
title_sort from molecules to life: quantifying the complexity of chemical and biological systems in the universe
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5794832/
https://www.ncbi.nlm.nih.gov/pubmed/29260254
http://dx.doi.org/10.1007/s00239-017-9824-6
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