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Assembly theory explains and quantifies selection and evolution
Scientists have grappled with reconciling biological evolution(1,2) with the immutable laws of the Universe defined by physics. These laws underpin life’s origin, evolution and the development of human culture and technology, yet they do not predict the emergence of these phenomena. Evolutionary the...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10567559/ https://www.ncbi.nlm.nih.gov/pubmed/37794189 http://dx.doi.org/10.1038/s41586-023-06600-9 |
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author | Sharma, Abhishek Czégel, Dániel Lachmann, Michael Kempes, Christopher P. Walker, Sara I. Cronin, Leroy |
author_facet | Sharma, Abhishek Czégel, Dániel Lachmann, Michael Kempes, Christopher P. Walker, Sara I. Cronin, Leroy |
author_sort | Sharma, Abhishek |
collection | PubMed |
description | Scientists have grappled with reconciling biological evolution(1,2) with the immutable laws of the Universe defined by physics. These laws underpin life’s origin, evolution and the development of human culture and technology, yet they do not predict the emergence of these phenomena. Evolutionary theory explains why some things exist and others do not through the lens of selection. To comprehend how diverse, open-ended forms can emerge from physics without an inherent design blueprint, a new approach to understanding and quantifying selection is necessary(3–5). We present assembly theory (AT) as a framework that does not alter the laws of physics, but redefines the concept of an ‘object’ on which these laws act. AT conceptualizes objects not as point particles, but as entities defined by their possible formation histories. This allows objects to show evidence of selection, within well-defined boundaries of individuals or selected units. We introduce a measure called assembly (A), capturing the degree of causation required to produce a given ensemble of objects. This approach enables us to incorporate novelty generation and selection into the physics of complex objects. It explains how these objects can be characterized through a forward dynamical process considering their assembly. By reimagining the concept of matter within assembly spaces, AT provides a powerful interface between physics and biology. It discloses a new aspect of physics emerging at the chemical scale, whereby history and causal contingency influence what exists. |
format | Online Article Text |
id | pubmed-10567559 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-105675592023-10-13 Assembly theory explains and quantifies selection and evolution Sharma, Abhishek Czégel, Dániel Lachmann, Michael Kempes, Christopher P. Walker, Sara I. Cronin, Leroy Nature Article Scientists have grappled with reconciling biological evolution(1,2) with the immutable laws of the Universe defined by physics. These laws underpin life’s origin, evolution and the development of human culture and technology, yet they do not predict the emergence of these phenomena. Evolutionary theory explains why some things exist and others do not through the lens of selection. To comprehend how diverse, open-ended forms can emerge from physics without an inherent design blueprint, a new approach to understanding and quantifying selection is necessary(3–5). We present assembly theory (AT) as a framework that does not alter the laws of physics, but redefines the concept of an ‘object’ on which these laws act. AT conceptualizes objects not as point particles, but as entities defined by their possible formation histories. This allows objects to show evidence of selection, within well-defined boundaries of individuals or selected units. We introduce a measure called assembly (A), capturing the degree of causation required to produce a given ensemble of objects. This approach enables us to incorporate novelty generation and selection into the physics of complex objects. It explains how these objects can be characterized through a forward dynamical process considering their assembly. By reimagining the concept of matter within assembly spaces, AT provides a powerful interface between physics and biology. It discloses a new aspect of physics emerging at the chemical scale, whereby history and causal contingency influence what exists. Nature Publishing Group UK 2023-10-04 2023 /pmc/articles/PMC10567559/ /pubmed/37794189 http://dx.doi.org/10.1038/s41586-023-06600-9 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Sharma, Abhishek Czégel, Dániel Lachmann, Michael Kempes, Christopher P. Walker, Sara I. Cronin, Leroy Assembly theory explains and quantifies selection and evolution |
title | Assembly theory explains and quantifies selection and evolution |
title_full | Assembly theory explains and quantifies selection and evolution |
title_fullStr | Assembly theory explains and quantifies selection and evolution |
title_full_unstemmed | Assembly theory explains and quantifies selection and evolution |
title_short | Assembly theory explains and quantifies selection and evolution |
title_sort | assembly theory explains and quantifies selection and evolution |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10567559/ https://www.ncbi.nlm.nih.gov/pubmed/37794189 http://dx.doi.org/10.1038/s41586-023-06600-9 |
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