Please use this identifier to cite or link to this item: https://libjncir.jncasr.ac.in/xmlui/handle/10572/1942
Title: NMR-based investigation of the Drosophila melanogaster metabolome under the influence of daily cycles of light and temperature
Authors: Gogna, Navdeep
Singh, Viveka Jagdish
Sheeba, Vasu
Dorai, Kavita
Keywords: Biochemistry & Molecular Biology
Clock Gene-Expression
InteRNAl Body Time
Circadian Clock
Fruit-Fly
Selection
Stress
Plasma
Mice
Identification
Entrainment
Issue Date: 2015
Publisher: Royal Society of Chemistry
Citation: Molecular Biosystems
11
12
Gogna, N.; Singh, V. J.; Sheeba, V.; Dorai, K., NMR-based investigation of the Drosophila melanogaster metabolome under the influence of daily cycles of light and temperature. Molecular Biosystems 2015, 11 (12), 3305-3315.
Abstract: We utilized an NMR-based metabolomic approach to profile the metabolites in Drosophila melanogaster that cycle with a daily rhythm. H-1 1D and 2D NMR experiments were performed on whole-body extracts sampled from flies that experienced strong time cues in the form of both light and temperature cycles. Multivariate and univariate statistical analysis was used to identify those metabolites whose concentrations oscillate diurnally. We compared metabolite levels at two time points twelve hours apart, one close to the end of the day and the other close to the end of the night, and identified metabolites that differed significantly in their relative concentrations. We were able to identify 14 such metabolites whose concentrations differed significantly between the two time points. The concentrations of metabolites such as sterols, fatty acids, amino acids such as leucine, valine, isoleucine, alanine and lysine as well as other metabolites such as creatine, glucose, AMP and NAD were higher close to the end of the night, whereas the levels of lactic acid, and a few amino acids such as histidine and tryptophan were higher close to the end of the day. We compared signal intensities across 12 equally spaced time points for these 14 metabolites, in order to profile the changes in their levels across the day, since the NMR metabolite peak intensity is directly proportional to its molar concentration. Through this report we establish NMR-based metabolomics combined with multivariate statistical analysis as a useful method for future studies on the interactions between circadian clocks and metabolic processes.
Description: Restricted access
URI: https://libjncir.jncasr.ac.in/xmlui/10572/1942
ISSN: 1742-206X
Appears in Collections:Research Papers (Sheeba Vasu)

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