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Metabolomic rearrangement controls the intrinsic microbial response to temperature changes

Temperature is one of the key determinants of microbial behavior and survival, whose impact is typically studied under heat- or cold-shock conditions that elicit specific regulation to combat lethal stress. At intermediate temperatures, cellular growth rate varies according to the Arrhenius law of t...

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Autores principales: Knapp, Benjamin D., Willis, Lisa, Gonzalez, Carlos, Vashistha, Harsh, Touma, Joanna Jammal, Tikhonov, Mikhail, Ram, Jeffrey, Salman, Hanna, Elias, Josh E., Huang, Kerwyn Casey
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10401945/
https://www.ncbi.nlm.nih.gov/pubmed/37546722
http://dx.doi.org/10.1101/2023.07.22.550177
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author Knapp, Benjamin D.
Willis, Lisa
Gonzalez, Carlos
Vashistha, Harsh
Touma, Joanna Jammal
Tikhonov, Mikhail
Ram, Jeffrey
Salman, Hanna
Elias, Josh E.
Huang, Kerwyn Casey
author_facet Knapp, Benjamin D.
Willis, Lisa
Gonzalez, Carlos
Vashistha, Harsh
Touma, Joanna Jammal
Tikhonov, Mikhail
Ram, Jeffrey
Salman, Hanna
Elias, Josh E.
Huang, Kerwyn Casey
author_sort Knapp, Benjamin D.
collection PubMed
description Temperature is one of the key determinants of microbial behavior and survival, whose impact is typically studied under heat- or cold-shock conditions that elicit specific regulation to combat lethal stress. At intermediate temperatures, cellular growth rate varies according to the Arrhenius law of thermodynamics without stress responses, a behavior whose origins have not yet been elucidated. Using single-cell microscopy during temperature perturbations, we show that bacteria exhibit a highly conserved, gradual response to temperature upshifts with a time scale of ~1.5 doublings at the higher temperature, regardless of initial/final temperature or nutrient source. We find that this behavior is coupled to a temperature memory, which we rule out as being neither transcriptional, translational, nor membrane dependent. Instead, we demonstrate that an autocatalytic enzyme network incorporating temperature-sensitive Michaelis-Menten kinetics recapitulates all temperature-shift dynamics through metabolome rearrangement, which encodes a temperature memory and successfully predicts alterations in the upshift response observed under simple-sugar, low-nutrient conditions, and in fungi. This model also provides a mechanistic framework for both Arrhenius-dependent growth and the classical Monod Equation through temperature-dependent metabolite flux.
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spelling pubmed-104019452023-08-05 Metabolomic rearrangement controls the intrinsic microbial response to temperature changes Knapp, Benjamin D. Willis, Lisa Gonzalez, Carlos Vashistha, Harsh Touma, Joanna Jammal Tikhonov, Mikhail Ram, Jeffrey Salman, Hanna Elias, Josh E. Huang, Kerwyn Casey bioRxiv Article Temperature is one of the key determinants of microbial behavior and survival, whose impact is typically studied under heat- or cold-shock conditions that elicit specific regulation to combat lethal stress. At intermediate temperatures, cellular growth rate varies according to the Arrhenius law of thermodynamics without stress responses, a behavior whose origins have not yet been elucidated. Using single-cell microscopy during temperature perturbations, we show that bacteria exhibit a highly conserved, gradual response to temperature upshifts with a time scale of ~1.5 doublings at the higher temperature, regardless of initial/final temperature or nutrient source. We find that this behavior is coupled to a temperature memory, which we rule out as being neither transcriptional, translational, nor membrane dependent. Instead, we demonstrate that an autocatalytic enzyme network incorporating temperature-sensitive Michaelis-Menten kinetics recapitulates all temperature-shift dynamics through metabolome rearrangement, which encodes a temperature memory and successfully predicts alterations in the upshift response observed under simple-sugar, low-nutrient conditions, and in fungi. This model also provides a mechanistic framework for both Arrhenius-dependent growth and the classical Monod Equation through temperature-dependent metabolite flux. Cold Spring Harbor Laboratory 2023-08-30 /pmc/articles/PMC10401945/ /pubmed/37546722 http://dx.doi.org/10.1101/2023.07.22.550177 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which allows reusers to copy and distribute the material in any medium or format in unadapted form only, for noncommercial purposes only, and only so long as attribution is given to the creator.
spellingShingle Article
Knapp, Benjamin D.
Willis, Lisa
Gonzalez, Carlos
Vashistha, Harsh
Touma, Joanna Jammal
Tikhonov, Mikhail
Ram, Jeffrey
Salman, Hanna
Elias, Josh E.
Huang, Kerwyn Casey
Metabolomic rearrangement controls the intrinsic microbial response to temperature changes
title Metabolomic rearrangement controls the intrinsic microbial response to temperature changes
title_full Metabolomic rearrangement controls the intrinsic microbial response to temperature changes
title_fullStr Metabolomic rearrangement controls the intrinsic microbial response to temperature changes
title_full_unstemmed Metabolomic rearrangement controls the intrinsic microbial response to temperature changes
title_short Metabolomic rearrangement controls the intrinsic microbial response to temperature changes
title_sort metabolomic rearrangement controls the intrinsic microbial response to temperature changes
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10401945/
https://www.ncbi.nlm.nih.gov/pubmed/37546722
http://dx.doi.org/10.1101/2023.07.22.550177
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