Circadian- and Light-driven Metabolic Rhythms in Drosophila melanogaster. Issue 2 (April 2018)

• Record Type: Journal Article
• Authors: Rhoades, Seth D.; Nayak, Katrina; Zhang, Shirley L.; Sehgal, Amita; Weljie, Aalim M.
• Is Part Of: Journal of biological rhythms. Volume 33:Issue 2(2018)
• Page Start: 126
• Page End: 136
• Publication Date: 2018-04
• Subjects: circadian clock -- LC-MS metabolomics -- ultradian rhythms -- photic metabolism -- Drosophila -- conserved oscillators; Biological rhythms -- Periodicals; Circadian rhythms -- Periodicals; 571.77
• DOI: 10.1177/0748730417753003
• Languages: English
• ISSNs: 0748-7304

Abstract

Complex interactions of environmental cues and transcriptional clocks drive rhythmicity in organismal physiology. Light directly affects the circadian clock; however, little is known about its relative role in controlling metabolic variations in vivo. Here we used high time-resolution sampling in Drosophila at every 2 h to measure metabolite outputs using a liquid-chromatography tandem mass spectrometry (LC-MS/MS) approach. Over 14% of detected metabolites oscillated with circadian periodicity under light-dark (LD) cycles. Many metabolites peaked shortly after lights-on, suggesting responsiveness to feeding and/or activity rather than the preactivity anticipation, as observed in previous transcriptomics analyses. Roughly 9% of measured metabolites uniquely oscillated under constant darkness (DD), suggesting that metabolite rhythms are associated with the transcriptional clock machinery. Strikingly, metabolome differences between LD and constant darkness were observed only during the light phase, highlighting the importance of photic input. Clock mutant flies exhibited strong 12-h ultradian rhythms, including 4 carbohydrate species with circadian periods in wild-type flies, but lacked 24-h circadian metabolic oscillations. A meta-analysis of these results with previous circadian metabolomics experiments uncovered the possibility of conserved rhythms in amino acids, keto-acids, and sugars across flies, mice, and humans and provides a basis for exploring the chrono-metabolic connection with powerful genetic tools in Drosophila .