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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...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cold Spring Harbor Laboratory
2023
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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. |
format | Online Article Text |
id | pubmed-10401945 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Cold Spring Harbor Laboratory |
record_format | MEDLINE/PubMed |
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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