Rhythmicity is linked to expression cost at the protein level but to expression precision at the mRNA level

Details

Serval ID
serval:BIB_8DA78A121767
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Rhythmicity is linked to expression cost at the protein level but to expression precision at the mRNA level
Journal
PLOS Computational Biology
Author(s)
Laloum David, Robinson-Rechavi Marc
ISSN
1553-7358
Publication state
Published
Issued date
12/09/2022
Peer-reviewed
Oui
Editor
Wang Guang-Zhong
Volume
18
Number
9
Pages
e1010399
Language
english
Abstract
<p>Many genes have nycthemeral rhythms of expression, i.e. 24-hours periodic variation, at either mRNA or protein level or both, often in a tissue-specific manner. Here we investigate the evolutionary trade-offs which can explain rhythmic expression in different genes and tissues. We test two main advantages for rhythmicity: cost saving on protein production and the control of expression noise. We find that cost saving explains rhythmicity at the protein level, while control of noise explains rhythmicity at the mRNA level. Trends for costs are consistent in bacteria, plants and animals, and are also supported in tissue-specific patterns in mouse. Noise control had strongest support in mouse, with limited power in other species. Genes under stronger purifying selection are rhythmically expressed at the mRNA level, probably because they are noisesensitive genes. Moreover, we suggest that mRNA rhythmicity allows to switch between optimal precision and higher stochasticity. This higher stochasticity allows to maintain oscillations and to exhibit diverse molecular phenotypes, i.e. "blind anticipation" of cells. The ability to alternate between these two states, enabled by rhythmicity at the mRNA level, might be adaptive in fluctuating environments. The adaptive role of rhythmic expression is also supported by rhythmic genes being highly expressed yet tissue-specific genes. This provides a good evolutionary explanation for the observation that nycthemeral rhythms are often tissue-specific.</p>
Keywords
Computational Theory and Mathematics, Cellular and Molecular Neuroscience, Genetics, Molecular Biology, Ecology, Modeling and Simulation, Ecology, Evolution, Behavior and Systematics
Pubmed
Open Access
Yes
Funding(s)
Swiss National Science Foundation / 31003A_173048
Create date
29/07/2021 9:30
Last modification date
27/09/2022 5:40
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