Bayesian genome scale modelling identifies thermal determinants of yeast metabolism

While temperature impacts the function of all cellular components, it’s hard to rule out how the temperature dependence of cell phenotypes emerged from the dependence of individual components. Here, the authors develop a Bayesian genome scale modelling approach to identify thermal determinants of ye...

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Main Authors:	Gang Li, Yating Hu, Jan Zrimec, Hao Luo, Hao Wang, Aleksej Zelezniak, Boyang Ji, Jens Nielsen
Format:	Article
Language:	English
Published:	Nature Publishing Group 2021-01-01
Series:	Nature Communications
Online Access:	https://doi.org/10.1038/s41467-020-20338-2

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spelling	doaj-c4d8dc17c5b3409e95dfdd6fb1d4c5512021-01-10T12:17:59ZengNature Publishing GroupNature Communications2041-17232021-01-0112111210.1038/s41467-020-20338-2Bayesian genome scale modelling identifies thermal determinants of yeast metabolismGang Li0Yating Hu1Jan Zrimec2Hao Luo3Hao Wang4Aleksej Zelezniak5Boyang Ji6Jens Nielsen7Department of Biology and Biological Engineering, Chalmers University of TechnologyDepartment of Biology and Biological Engineering, Chalmers University of TechnologyDepartment of Biology and Biological Engineering, Chalmers University of TechnologyDepartment of Biology and Biological Engineering, Chalmers University of TechnologyDepartment of Biology and Biological Engineering, Chalmers University of TechnologyDepartment of Biology and Biological Engineering, Chalmers University of TechnologyDepartment of Biology and Biological Engineering, Chalmers University of TechnologyDepartment of Biology and Biological Engineering, Chalmers University of TechnologyWhile temperature impacts the function of all cellular components, it’s hard to rule out how the temperature dependence of cell phenotypes emerged from the dependence of individual components. Here, the authors develop a Bayesian genome scale modelling approach to identify thermal determinants of yeast metabolism.https://doi.org/10.1038/s41467-020-20338-2
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Gang Li Yating Hu Jan Zrimec Hao Luo Hao Wang Aleksej Zelezniak Boyang Ji Jens Nielsen
spellingShingle	Gang Li Yating Hu Jan Zrimec Hao Luo Hao Wang Aleksej Zelezniak Boyang Ji Jens Nielsen Bayesian genome scale modelling identifies thermal determinants of yeast metabolism Nature Communications
author_facet	Gang Li Yating Hu Jan Zrimec Hao Luo Hao Wang Aleksej Zelezniak Boyang Ji Jens Nielsen
author_sort	Gang Li
title	Bayesian genome scale modelling identifies thermal determinants of yeast metabolism
title_short	Bayesian genome scale modelling identifies thermal determinants of yeast metabolism
title_full	Bayesian genome scale modelling identifies thermal determinants of yeast metabolism
title_fullStr	Bayesian genome scale modelling identifies thermal determinants of yeast metabolism
title_full_unstemmed	Bayesian genome scale modelling identifies thermal determinants of yeast metabolism
title_sort	bayesian genome scale modelling identifies thermal determinants of yeast metabolism
publisher	Nature Publishing Group
series	Nature Communications
issn	2041-1723
publishDate	2021-01-01
description	While temperature impacts the function of all cellular components, it’s hard to rule out how the temperature dependence of cell phenotypes emerged from the dependence of individual components. Here, the authors develop a Bayesian genome scale modelling approach to identify thermal determinants of yeast metabolism.
url	https://doi.org/10.1038/s41467-020-20338-2
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Bayesian genome scale modelling identifies thermal determinants of yeast metabolism

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