Abstract
Reactions involving water and oxygen are basic features of geological and biological processes. To understand how life interacts with its environment requires monitoring interactions with \(\mathrm{H}_{2}\mathrm{O}\) and \(\mathrm{O}_{2}\) not only at timescales relevant to organismal growth but also over billions of years of geobiological evolution. Chemical transformations intrinsic to evolution and development were characterized by analyzing data from recent phylostratigraphic and proteomic studies. This two-stage analysis involves obtaining chemical metrics (carbon oxidation state and stoichiometric hydration state) from the elemental compositions of proteins followed by modeling the relative stabilities of target proteins against a proteomic background to infer thermodynamic parameters [oxygen fugacity, water activity, and virtual redox potential (Eh)]. The main results of this study are a rise in carbon oxidation state of proteins spanning the time of the Great Oxidation Event, a rise in virtual redox potential that coincides with the likely emergence of aerobic metabolism, and a rise in carbon oxidation state of proteins inferred from the transcriptome in late stages of Bacillus subtilis biofilm growth. Furthermore, stoichiometric hydration state of expressed proteins decreases through stages of biofilm development, drops at the same time as a drop in organismal water content during fruit fly development, and is lower for proteins with more recent gene ages, all of which support the inference of higher hydration potentials at earlier time points. These results show how the evolutionary and developmental dynamics of major chemical variables can be deciphered through thermodynamic analysis of proteins as chemical entities.
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Data Availability
Data were obtained from the UniProt database (The UniProt Consortium 2019) and the supporting files of previous studies (Liebeskind et al. 2016b; Casas-Vila et al. 2017; Trigos et al. 2017; Fabre et al. 2019; Futo et al. 2021; James et al. 2021) as described in the Materials and Methods and figure captions. Files with phylostrata assignments and UniProt IDs are available in the R package canprot version 1.1.2 (Dick 2021). Processed data files used in this study are in the “extdata/evdevH2O” directory of the JMDplots package (version 1.2.12 deposited on Zenodo with accession number 6137783) (Dick 2022), except for the differential expression dataset of Fabre et al. (2019), which is located under “extdata/expression/development.”
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The code used to make the figures for this paper is available in the JMDplots package (Dick 2022). The maximum activity analysis described here has been implemented in a new function named MaximAct(). The “evdevH2O.Rmd” vignette in the package runs the functions to make each of the figures and has code blocks to generate particular values mentioned in the text.
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Dick, J.M. A Thermodynamic Model for Water Activity and Redox Potential in Evolution and Development. J Mol Evol 90, 182–199 (2022). https://doi.org/10.1007/s00239-022-10051-7
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DOI: https://doi.org/10.1007/s00239-022-10051-7