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Reference details
| Author(s)
| Year
| Title
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Greg Warr , Les Hatton | 2023e | Reproducibility script for JMolecularEvolution submission on protein multiplicity | WEB | Link-available-shortly |
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| In considering the evolution of proteins in their entirety (more than 200 million sequences are known across all three domains of life and the viruses) we must account for the random effects of genetic drift as well as specific processes such as the highly variable rates of mutation, of selection (negative and adaptive) and of speciation and extinctions. Here we test whether multiplicity, an emergent global properties of protein evolution can be predicted by a purely probabilistic theory, CoHSI (Conservation of Hartley-Shannon Information). CoHSI embeds information theory in a statistical mechanical framework with the minimal assumption that every microstate is equiprobable, in effect aggregating all factors contributing to evolution (e.g. mutation, drift, selection, speciation, extinction etc.) to generate predictions of the global equilibrium state (the macrostate) of molecular evolution. In this study we test the power of CoHSI theory with respect to the heretofore unknown global pattern of protein multiplicity, which is predicted to be a distinctive variant of the Zipfian distribution. This is a null expectation that extends the Neutral Theory in that it provides an overarching approach that is probabilistic while aggregating all evolutionary processes. We show that the predictions of CoHSI theory are borne out for the totality of life as well as when the proteins of bacteria, archaea, eukaryotes and viruses are considered separately. Over 13 million multiplicious proteins exist, ranging from the highly conserved (histones, components of photosystems and the electron transport chain) to the rapidly evolving viral proteins that are involved in infection and adaptation to novel host species. We show that even minor deviations from the predicted equilibrium state can provide clues to the nature of perturbing influences. | None yet | 9 |
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Auto-generated: $Revision: 1.66 $, $Date: 2023/08/12 15:03:35 $, Copyright Les Hatton 2001-
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