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Fundamental constraints to the logic of living systems
ICREA-Complex Systems Lab, Universitat Pompeu Fabra, Dr Aiguader 88, Barcelona, Spain; Institut de Biologia Evolutiva, CSIC-UPF, Pg Maritim de la Barceloneta 37, Barcelona, Spain; European Centre for Living Technology, Sestiere Dorsoduro, 3911 VE, Venezia, Italy; Santa Fe Institute, 1399 Hyde Park Road, NM, Santa Fe, United States.
Santa Fe Institute, 1399 Hyde Park Road, NM, Santa Fe, United States.
Institute of Biology, University of Graz, Graz, Austria.
Complex Multilayer Networks Lab, Department of Physics and Astronomy 'Galileo Galilei', University of Padua, Via Marzolo 8, Padova, Italy; Padua Center for Network Medicine, University of Padua, Via Marzolo 8, Padova, Italy.
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2024 (English)In: Interface Focus, ISSN 2042-8898, E-ISSN 2042-8901, Vol. 14, no 5, article id 20240010Article, review/survey (Refereed) Published
Abstract [en]

It has been argued that the historical nature of evolution makes it a highly path-dependent process. Under this view, the outcome of evolutionary dynamics could have resulted in organisms with different forms and functions. At the same time, there is ample evidence that convergence and constraints strongly limit the domain of the potential design principles that evolution can achieve. Are these limitations relevant in shaping the fabric of the possible? Here, we argue that fundamental constraints are associated with the logic of living matter. We illustrate this idea by considering the thermodynamic properties of living systems, the linear nature of molecular information, the cellular nature of the building blocks of life, multicellularity and development, the threshold nature of computations in cognitive systems and the discrete nature of the architecture of ecosystems. In all these examples, we present available evidence and suggest potential avenues towards a well-defined theoretical formulation.

Place, publisher, year, edition, pages
The Royal Society , 2024. Vol. 14, no 5, article id 20240010
Keywords [en]
constraints, contingency, convergence, evolution, information, thermodynamics
National Category
Evolutionary Biology
Identifiers
URN: urn:nbn:se:umu:diva-231650DOI: 10.1098/rsfs.2024.0010ISI: 001341327000001Scopus ID: 2-s2.0-85208127647OAI: oai:DiVA.org:umu-231650DiVA, id: diva2:1914137
Available from: 2024-11-18 Created: 2024-11-18 Last updated: 2025-04-24Bibliographically approved

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Libby, Eric

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