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Dominant constraints on the evolution of rhythmic gene expression

Authors :
Yang Cheng
Yuhao Chi
Linying Sun
Guang-Zhong Wang
Source :
Computational and Structural Biotechnology Journal, Vol 21, Iss , Pp 4301-4311 (2023)
Publication Year :
2023
Publisher :
Elsevier, 2023.

Abstract

Although the individual transcriptional regulators of the core circadian clock are distinct among different organisms, the autoregulatory feedback loops they form are conserved. This unified design principle explains how daily physiological activities oscillate across species. However, it is unknown whether analogous design principles govern the gene expression output of circadian clocks. In this study, we performed a comparative analysis of rhythmic gene expression in eight diverse species and identified four common distribution patterns of cycling gene expression across these species. We hypothesized that the maintenance of reduced energetic costs constrains the evolution of rhythmic gene expression. Our large-scale computational simulations support this hypothesis by showing that selection against high-energy expenditure completely regenerates all cycling gene patterns. Moreover, we find that the peaks of rhythmic expression have been subjected to this type of selective pressure. The results suggest that selective pressure from circadian regulation efficiently removes unnecessary gene products from the transcriptome, thereby significantly impacting its evolutionary path.

Details

Language :
English
ISSN :
20010370
Volume :
21
Issue :
4301-4311
Database :
Directory of Open Access Journals
Journal :
Computational and Structural Biotechnology Journal
Publication Type :
Academic Journal
Accession number :
edsdoj.1c76ca53b1644ae3886b908ba9a7f4fa
Document Type :
article
Full Text :
https://doi.org/10.1016/j.csbj.2023.08.035