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Growth-rate dependent and nutrient-specific gene expression resource allocation in fission yeast

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Title: Growth-rate dependent and nutrient-specific gene expression resource allocation in fission yeast
Authors: Kleijn, IT
Martínez-Segura, A
Bertaux, F
Saint, M
Kramer, H
Shahrezaei, V
Marguerat, S
Item Type: Journal Article
Abstract: Cellular resources are limited and their relative allocation to gene expression programmes determines physiological states and global properties such as the growth rate. Here, we determinedtheimportanceof the growth rate in explaining relative changes in protein and mRNA levels in the simple eukaryote Schizosaccharomyces pombegrownon non-limiting nitrogen sources. Although expression of half of fission yeast genes was significantly correlated with the growth rate, this came alongside wide-spread nutrient-specific regulation. Proteome and transcriptome often showed coordinated regulation but with notable exceptions, such as metabolic enzymes. Genes positively correlated with growth rate participated in every level of protein production apart fromRNA polymerase II-dependent transcription.Negatively correlated genes belonged mainly to the environmental stress response programme. Critically, metabolic enzymes, which represent ~55-70% of the proteome by mass,showedmostly condition-specificregulation.In summary, we provide a rich account of resource allocation to gene expression in a simple eukaryote, advancing our 19basic understanding of the interplay between growth-rate dependent and nutrient-specific gene expression.
Issue Date: 1-May-2022
Date of Acceptance: 25-Jan-2022
URI: http://hdl.handle.net/10044/1/95624
DOI: 10.26508/lsa.202101223
ISSN: 2575-1077
Publisher: Life Science Alliance
Journal / Book Title: Life Science Alliance
Volume: 5
Issue: 5
Copyright Statement: © 2022 Kleijn et al. This article is available under a Creative Commons License (Attribution 4.0 International, as described at https://creativecommons.org/licenses/by/4.0/).
Sponsor/Funder: Wellcome Trust
Funder's Grant Number: 203968/Z/16/Z
Publication Status: Published
Article Number: ARTN e202101223
Online Publication Date: 2022-02-28
Appears in Collections:Mathematics
Institute of Clinical Sciences
Applied Mathematics and Mathematical Physics
Faculty of Medicine
Faculty of Natural Sciences



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