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:	Ross Corkrey, Tom A McMeekin, John P Bowman, David A Ratkowsky, June Olley, Tom Ross
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2014
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/10ec94c7aa044d168bfcff94f9bc9869
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spelling	oai:doaj.org-article:10ec94c7aa044d168bfcff94f9bc98692021-11-18T08:21:08ZProtein thermodynamics can be predicted directly from biological growth rates.1932-620310.1371/journal.pone.0096100https://doaj.org/article/10ec94c7aa044d168bfcff94f9bc98692014-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/24787650/?tool=EBIhttps://doaj.org/toc/1932-6203Life 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.Ross CorkreyTom A McMeekinJohn P BowmanDavid A RatkowskyJune OlleyTom RossPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 9, Iss 5, p e96100 (2014)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Ross Corkrey Tom A McMeekin John P Bowman David A Ratkowsky June Olley Tom Ross Protein thermodynamics can be predicted directly from biological growth rates.
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.
format	article
author	Ross Corkrey Tom A McMeekin John P Bowman David A Ratkowsky June Olley Tom Ross
author_facet	Ross Corkrey Tom A McMeekin John P Bowman David A Ratkowsky June Olley Tom Ross
author_sort	Ross Corkrey
title	Protein thermodynamics can be predicted directly from biological growth rates.
title_short	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_sort	protein thermodynamics can be predicted directly from biological growth rates.
publisher	Public Library of Science (PLoS)
publishDate	2014
url	https://doaj.org/article/10ec94c7aa044d168bfcff94f9bc9869
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Protein thermodynamics can be predicted directly from biological growth rates.

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