SUMMARY
Transcriptional and translational feedback loops in fungi and animals drive circadian rhythms in transcript levels that provide output from the clock, but post-transcriptional mechanisms also contribute. To determine the extent and underlying source of this regulation, we applied newly developed analytical tools to a long-duration, deeply sampled, circadian proteomics time course comprising half of the proteome. We found a quarter of expressed proteins are clock regulated, but >40% of these do not arise from clock-regulated transcripts, and our analysis predicts that these protein rhythms arise from oscillations in translational rates. Our data highlighted the impact of the clock on metabolic regulation, with central carbon metabolism reflecting both transcriptional and post-transcriptional control and opposing metabolic pathways showing peak activities at different times of day. The transcription factor CSP-1 plays a role in this metabolic regulation, contributing to the rhythmicity and phase of clock-regulated proteins.
Motivation
Time courses utilizing genome scale data are a common approach to identifying the biological pathways that are controlled by the circadian clock, an important regulator of organismal fitness. However, the methods used to detect circadian oscillations in these datasets are not able to accommodate changes in the amplitude of the oscillations over time, leading to an underestimation of the impact of the clock on biological systems.
Results
We have created a program to efficaciously identify oscillations in large-scale datasets, called the Extended Circadian Harmonic Oscillator application, or ECHO. ECHO utilizes an extended solution of the fixed amplitude mass-spring oscillator that incorporates the amplitude change coefficient. Employing synthetic datasets, we determined that ECHO outperforms existing methods in detecting rhythms with decreasing oscillation amplitudes and recovering phase shift. Rhythms with changing amplitudes identified from published biological datasets revealed distinct functions from those oscillations that were harmonic, suggesting purposeful biologic regulation to create this subtype of circadian rhythms.
Availability
ECHO’s full interface is available at https://github.com/delosh653/ECHO. An R package for this functionality, echo.find, can be downloaded at https://CRAN.R-project.org/package=echo.find.
Supplementary information
Supplementary data are available at Bioinformatics online.
The DNA repair protein O6-alkylguanine-DNA alkyltransferase (AGT) repairs the promutagenic O6-methylguanine lesion by transferring the methyl group to a cysteine residue on the protein. A mechanism in which AGT activates the guanyl moiety as a leaving group by protonation of a heteroatom on guanine was probed by reacting AGT with analogues of O6-methylguanine in which the heteroatoms were changed. The initial rates of reaction were measured at various substrate concentrations in 50 mM Hepes, 1 mM EDTA, 1 mM DTT, and 10% glycerol, pH 7.8 at 37 degrees C. The kinact (h-1) and Kin (mM) were determined for O6-methylguanine (1.66 +/- 0.19, 1.51 +/- 0.32), 6-methoxypurine (1.07 +/- 0.25, 10.6 +/- 4.2), S6-methyl-6-thioguanine (0.63 +/- 0.04, 1.17 +/- 0.18), 6-methylthiopurine (no reaction), Se6-methyl-6-selenoguanine (1.76 +/- 0.28, 10.6 +/- 5.0), 6-methylselenopurine (2.51 +/- 0.62, 15.7 +/- 6.3), O6-methyl-1-deazaguanine (1.71 +/- 0.34, 14.8 +/- 4.4), O6-methyl-3-deazaguanine (1.90 +/- 0.24, 2.54 +/- 0.59), and O6-methyl-7-deazaguanine (1.97 +/- 0.26, 2.56 +/- 0.72). These results indicate that replacement of the nitrogens does not affect the kinact parameter but the Kin is increased upon removal of the exocyclic amino group and the nitrogen at the 1-position. Replacement of the oxygen with sulfur decreases the kinact, and replacement with selenium increases the Kin. The results are consistent with a mechanism in which O6-methylguanine binds to the active site of AGT with hydrogen bonds to the oxygen, the exocyclic amino group, and the nitrogen at the 1-position of the substrate.(ABSTRACT TRUNCATED AT 250 WORDS)
Circadian rhythms are endogenous cycles of approximately 24 hours reinforced by external cues such as light. These cycles are typically modeled as harmonic oscillators with fixed amplitude peaks. Using experimental data measuring global gene transcription in Neurospora crassa over 48 hours in the dark (i.e. with external queues removed), we demonstrate that many circadian genes frequently exhibit either damped harmonic oscillations, in which the peak amplitudes decrease each day, or driven harmonic oscillations, in which the peak amplitudes increase each day. By fitting extended harmonic oscillator models which include a damping ratio coefficient, we detected additional circadian genes that were not identified by the current standard tools that use fixed amplitude waves as reference, e.g. JTK_CYCLE. Functional Catalogue analysis confirms that our identified damped or driven genes exhibit distinct biological functions. The application of extended damped/driven harmonic oscillator models thus can elucidate, not only previously unidentified circadian genes, but also characterize gene subsets with expression patterns of biological relevance. Thus, expanded harmonic oscillators provide a powerful new tool for circadian system biology.
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