2023/04/14 by Ziyu Zhao, Zhao, Ziyu, Dae‐Sung Hwangbo +11
Neuroscience · #Circadian rhythm and melatonin #FOS: Biological sciences #Molecular Networks (q-bio.MN) #Quantitative Methods (q-bio.QM)
paper · pdf · doi:10.48550/arxiv.2304.07412
openalex publication_date 2023/04/14 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
The circadian clock can adapt itself to external cues, but the molecular mechanisms and regulatory networks governing circadian oscillations' transient adjustments are still largely unknown. Here we consider the specific case of circadian oscillations transiently responding to a temperature change. Using a framework motivated by Floquet theory, we model the mRNA expression level of the fat body from Drosophila melanogaster following a step change from 25C to 18C. Using the method we infer the adaptation rates of individual genes as they adapt to the new temperature. To deal with heteroskedastic noise and outliers present in the expression data we employ quantile regression and wild bootstrap for significance testing. Model selection with finite-sample corrected Akaike Information Criterion (AICc) is performed additionally for robust inference. We identify several genes with fast transition rates as potential sources of temperature-mediated responses in the circadian system of fruit flies, and the constructed network suggests that the proteasome may play important roles in governing these responses.