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Journal Articles npj Systems Biology and Applications Year : 2021

Optimal proteome allocation and the temperature dependence of microbial growth laws

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Abstract

Although the effect of temperature on microbial growth has been widely studied, the role of proteome allocation in bringing about temperature-induced changes remains elusive. To tackle this problem, we propose a coarse-grained model of microbial growth, including the processes of temperature-sensitive protein unfolding and chaperone-assisted (re)folding. We determine the proteome sector allocation that maximizes balanced growth rate as a function of nutrient limitation and temperature. Calibrated with quantitative proteomic data for Escherichia coli, the model allows us to clarify general principles of temperature-dependent proteome allocation and formulate generalized growth laws. The same activation energy for metabolic enzymes and ribosomes leads to an Arrhenius increase in growth rate at constant proteome composition over a large range of temperatures, whereas at extreme temperatures resources are diverted away from growth to chaperone-mediated stress responses. Our approach points at risks and possible remedies for the use of ribosome content to characterize complex ecosystems with temperature variation.

Dates and versions

hal-03094908 , version 1 (04-01-2021)

Licence

Attribution - CC BY 4.0

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Francis Mairet, Jean-Luc Gouzé, Hidde de Jong. Optimal proteome allocation and the temperature dependence of microbial growth laws. npj Systems Biology and Applications, In press, 7 (14), ⟨10.1038/s41540-021-00172-y⟩. ⟨hal-03094908⟩
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