Is the emergence of life and of agency expected?

Publication Title

Philosophical transactions of the Royal Society of London. Series B, Biological sciences

Document Type

Article

Publication Date

10-2-2025

Keywords

washington; isb

Abstract

We present an integrated and testable theory for the spontaneous emergence of life up to the prokaryote with template replication and coding. Collectively autocatalytic small-molecule sets, DNA sets, RNA sets and peptide sets have been discovered or created. Reliable theory supports the claim that such systems can emerge as a first-order phase transition. Such sets constitute Kantian wholes: the whole exists for and by means of the parts. We propose that the earliest life began with small-molecule collectively autocatalytic sets as first-order Kantian wholes. These merged with two other first-order Kantian wholes-peptide and RNA autocatalytic sets-to form a third-order Kantian whole. The autocatalytic, small-molecule set coevolved to become the metabolism of the entire system. The peptide and RNA collectively autocatalytic sets ultimately coevolved to template replication, coding and the ribosome. The same peptide-RNA coevolution may have broken chiral symmetry. Collectively autocatalytic sets achieve constraint closure. Thermodynamic work is the constrained release of energy into a few degrees of freedom. In constraint-closed systems, a set of boundary condition constraints on the release of energy, [A,B,C], constrains that release in a set of non-equilibrium processes, [1,2,3], to construct the very same set of boundary condition constraints, [A,B,C]. Cells literally construct specifically themselves. Because constraint-closed systems carry out thermodynamic work cycles, they constitute molecular autonomous agents that are able to sense, orient, decide and act in their worlds. These theories overlap and unite with the RNA world hypothesis.This article is part of the theme issue 'Origins of life: the possible and the actual.

Specialty/Research Institute

Institute for Systems Biology

DOI

10.1098/rstb.2024.0283

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