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Protein thermodynamics can be predicted directly from biological growth rates

Citation

Corkrey, R and McMeekin, TA and Bowman, JP and Ratkowsky, DA and Olley, J and Ross, T, Protein thermodynamics can be predicted directly from biological growth rates, PLoS One, 9, (5) Article e96100. ISSN 1932-6203 (2014) [Refereed Article]


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Copyright Statement

Copyright 2014 The Authors-This is an open-access article distributed under the terms of the Creative Commons Attribution License,(CC BY 3.0 AU) which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

DOI: doi:10.1371/journal.pone.0096100

Abstract

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 (122C). 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.

Item Details

Item Type:Refereed Article
Research Division:Biological Sciences
Research Group:Microbiology
Research Field:Microbial Ecology
Objective Division:Health
Objective Group:Public Health (excl. Specific Population Health)
Objective Field:Food Safety
Author:Corkrey, R (Dr Ross Corkrey)
Author:McMeekin, TA (Professor Thomas McMeekin)
Author:Bowman, JP (Associate Professor John Bowman)
Author:Ratkowsky, DA (Dr David Ratkowsky)
Author:Olley, J (Professor June Olley)
Author:Ross, T (Associate Professor Tom Ross)
ID Code:90944
Year Published:2014
Web of Science® Times Cited:15
Deposited By:Tasmanian Institute of Agriculture
Deposited On:2014-05-02
Last Modified:2017-11-06
Downloads:222 View Download Statistics

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