Assembly theory as a way of defining the biotic/abiotic boundary has been established for molecules, but not yet for crystal structures. This is an assembly algorithm that calculates the complexity of biotic and abiotic minerals in order to constrain the quantitative fundamentals of "life". The calculation utilizes the Hermann-Mauguin space group symmetry and Wyckoff sites of mineral unit cells to calculate the path-building complexity of a crystal structure. 5,644 minerals from the American Mineralogist COD database were run through the algorithm. The five structures with the highest information complexity were a mix of biotic and abiotic minerals, indicating that further calculations on larger datasets would be pertinent. Furthermore, an expansion of the definition of mineral to include biotically synthesized solids would further research efforts aimed at using minerals as possible biomarkers.
Cooperation is essential for evolution of biological complexity. Recent work has shown game theoretic arguments, commonly used to model biological cooperation, can also illuminate the dynamics of chemical systems. Here we investigate the types of cooperation possible in a real RNA system based on the Azoarcus ribozyme, by constructing a taxonomy of possible cooperative groups. We construct a computational model of this system to investigate the features of the real system promoting cooperation. We find triplet interactions among genotypes are intrinsically biased towards cooperation due to the particular distribution of catalytic rate constants measured empirically in the real system. For other distributions cooperation is less favored. We discuss implications for understanding cooperation as a driver of complexification in the origin of life.
Biological systems represent a unique class of physical systems in how they process and manage information. This suggests that changes in the flow and distribution of information played a prominent role in the origin of life. Here I review and expand on an emerging conceptual framework suggesting that the origin of life may be identified as a transition in causal structure and information flow, and detail some of the implications for understanding the early stages chemical evolution.