Activation energies of both constructive and destructive cellular biochemistry determine maximum growth temperature in archaea
Year: 2025
Type: article
Abstract: A conventional explanation for the existence of species-specific maximum growth temperature (MGT) is the occurrence of irreversible loss of essential cellular functions. Hence the hypothesis that the MGT is the thermal point at which cellular destructive processes outpace constructive processes. For a data-based assessment of this hypothesis, we develop a trait-based model of cellular growth in which key cellular traits are the activation energies of constructive and destructive processes. Using Bayesian inversion on growth curves of archaea, we infer trait values and map them to maximal growth temperatures. We identify the difference between those activation energies as a primary driver of variation in maximum growth temperature. The known yet unexplained correlation between maximal and optimal growth temperatures appears to be underpinned by a linear scaling of these activation energies. This scaling relationship points to the plausibility of adaptation to temperatures exceeding the currently known upper limit (110-120 °C) for microbial growth. Using Bayesian inversion on microbial growth curves, the difference between activation energies of molecular destructive and constructive processes is identified as the main driver of variations in the maximum growth temperature of archaeal cells.
Source: Communications Biology
Institutions: University of Arizona, Université Paris Sciences et Lettres, École Normale Supérieure - PSL, Institut de Biologie de l'École Normale Supérieure, Centre National de la Recherche Scientifique, Interdisciplinary and Global Environmental Studies, Sorbonne Université, Muséum national d'Histoire naturelle, Institut de minéralogie, de physique des matériaux et de cosmochimie
Language: English
Subfield: Ecology
Field: Environmental Science
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $4,190
Awards: G1449229046, G196500007, Paris Sciences et Lettres, Dimensions: Eco-Evolutionary Drivers of Diversity in Toxic Algal Blooms, G4190806336, G471331628, G5570167342, BII-Implementation: The EMERGE Institute: Identifying EMergent Ecosystem Responses through Genes-to-Ecosystems Integration, Collaborative Research: GCR: Growing a New Science of Landscape Terraformation: The Convergence of Rock, Fluids, and Life to form Complex Ecosystems Across Scales, G6759105742, NRT‐URoL: BRIDGES ‐ Building Resources for InterDisciplinary training in Genomic and Ecosystem Sciences, G7240651115, G782245399
OpenAlex ID: W4415620149
