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Protein Thermodynamics Can Be Predicted Directly from Biological Growth Rates

Life on Earth is capable of growing from temperatures well below freezing to above the boiling point of water, with some organisms preferring cooler and others hotter conditions. The growth rate of each organism ultimately depends on its intracellular chemical reactions. Here we show that a thermody...

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Autores principales: Corkrey, Ross, McMeekin, Tom A., Bowman, John P., Ratkowsky, David A., Olley, June, Ross, Tom
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4006894/
https://www.ncbi.nlm.nih.gov/pubmed/24787650
http://dx.doi.org/10.1371/journal.pone.0096100
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author Corkrey, Ross
McMeekin, Tom A.
Bowman, John P.
Ratkowsky, David A.
Olley, June
Ross, Tom
author_facet Corkrey, Ross
McMeekin, Tom A.
Bowman, John P.
Ratkowsky, David A.
Olley, June
Ross, Tom
author_sort Corkrey, Ross
collection PubMed
description Life on Earth is capable of growing from temperatures well below freezing to above the boiling point of water, with some organisms preferring cooler and others hotter conditions. The growth rate of each organism ultimately depends on its intracellular chemical reactions. Here we show that a thermodynamic model based on a single, rate-limiting, enzyme-catalysed reaction accurately describes population growth rates in 230 diverse strains of unicellular and multicellular organisms. Collectively these represent all three domains of life, ranging from psychrophilic to hyperthermophilic, and including the highest temperature so far observed for growth (122°C). The results provide credible estimates of thermodynamic properties of proteins and obtain, purely from organism intrinsic growth rate data, relationships between parameters previously identified experimentally, thus bridging a gap between biochemistry and whole organism biology. We find that growth rates of both unicellular and multicellular life forms can be described by the same temperature dependence model. The model results provide strong support for a single highly-conserved reaction present in the last universal common ancestor (LUCA). This is remarkable in that it means that the growth rate dependence on temperature of unicellular and multicellular life forms that evolved over geological time spans can be explained by the same model.
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spelling pubmed-40068942014-05-09 Protein Thermodynamics Can Be Predicted Directly from Biological Growth Rates Corkrey, Ross McMeekin, Tom A. Bowman, John P. Ratkowsky, David A. Olley, June Ross, Tom PLoS One Research Article Life on Earth is capable of growing from temperatures well below freezing to above the boiling point of water, with some organisms preferring cooler and others hotter conditions. The growth rate of each organism ultimately depends on its intracellular chemical reactions. Here we show that a thermodynamic model based on a single, rate-limiting, enzyme-catalysed reaction accurately describes population growth rates in 230 diverse strains of unicellular and multicellular organisms. Collectively these represent all three domains of life, ranging from psychrophilic to hyperthermophilic, and including the highest temperature so far observed for growth (122°C). The results provide credible estimates of thermodynamic properties of proteins and obtain, purely from organism intrinsic growth rate data, relationships between parameters previously identified experimentally, thus bridging a gap between biochemistry and whole organism biology. We find that growth rates of both unicellular and multicellular life forms can be described by the same temperature dependence model. The model results provide strong support for a single highly-conserved reaction present in the last universal common ancestor (LUCA). This is remarkable in that it means that the growth rate dependence on temperature of unicellular and multicellular life forms that evolved over geological time spans can be explained by the same model. Public Library of Science 2014-05-01 /pmc/articles/PMC4006894/ /pubmed/24787650 http://dx.doi.org/10.1371/journal.pone.0096100 Text en © 2014 Corkrey et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Corkrey, Ross
McMeekin, Tom A.
Bowman, John P.
Ratkowsky, David A.
Olley, June
Ross, Tom
Protein Thermodynamics Can Be Predicted Directly from Biological Growth Rates
title Protein Thermodynamics Can Be Predicted Directly from Biological Growth Rates
title_full Protein Thermodynamics Can Be Predicted Directly from Biological Growth Rates
title_fullStr Protein Thermodynamics Can Be Predicted Directly from Biological Growth Rates
title_full_unstemmed Protein Thermodynamics Can Be Predicted Directly from Biological Growth Rates
title_short Protein Thermodynamics Can Be Predicted Directly from Biological Growth Rates
title_sort protein thermodynamics can be predicted directly from biological growth rates
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4006894/
https://www.ncbi.nlm.nih.gov/pubmed/24787650
http://dx.doi.org/10.1371/journal.pone.0096100
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