Cycling Transcriptional Networks Optimize Energy Utilization on a Genome Scale

Guang Zhong Wang, Stephanie L. Hickey, Lei Shi, Hung Chung Huang, Prachi Nakashe, Nobuya Koike, Benjamin P. Tu, Joseph S. Takahashi, Genevieve Konopka

Research output: Contribution to journalArticlepeer-review

29 Scopus citations

Abstract

Genes expressing circadian RNA rhythms are enriched for metabolic pathways, but the adaptive significance of cyclic gene expression remains unclear. We estimated the genome-wide synthetic and degradative cost of transcription and translation in three organisms and found that the cost of cycling genes is strikingly higher compared to non-cycling genes. Cycling genes are expressed at high levels and constitute the most costly proteins to synthesize in the genome. We demonstrate that metabolic cycling is accelerated in yeast grown under higher nutrient flux and the number of cycling genes increases ~40%, which are achieved by increasing the amplitude and not the mean level of gene expression. These results suggest that rhythmic gene expression optimizes the metabolic cost of global gene expression and that highly expressed genes have been selected to be downregulated in a cyclic manner for energy conservation.

Original languageEnglish (US)
Pages (from-to)1868-1880
Number of pages13
JournalCell Reports
Volume13
Issue number9
DOIs
StatePublished - Dec 1 2015

ASJC Scopus subject areas

  • Biochemistry, Genetics and Molecular Biology(all)

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