Genome biology approaches have made enormous contributions to our understanding of biological rhythms, particularly in identifying outputs of the clock, including RNAs, proteins, and metabolites, whose abundance oscillates throughout the day. These methods hold significant promise for future discovery, particularly when combined with computational modeling. However, genome-scale experiments are costly and laborious, yielding “big data” that are conceptually and statistically difficult to analyze. There is no obvious consensus regarding design or analysis. Here we discuss the relevant technical considerations to generate reproducible, statistically sound, and broadly useful genome-scale data. Rather than suggest a set of rigid rules, we aim to codify principles by which investigators, reviewers, and readers of the primary literature can evaluate the suitability of different experimental designs for measuring different aspects of biological rhythms. We introduce CircaInSilico, a web-based application for generating synthetic genome biology data to benchmark statistical methods for studying biological rhythms. Finally, we discuss several unmet analytical needs, including applications to clinical medicine, and suggest productive avenues to address them.

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Period (Per) is a canonical circadian clock gene. The fruit fly, an invertebrate, has one per gene, while the human, a tetrapod vertebrate, has three Per genes. Per1, Per2, and Per3 of the tetrapods were generated from two rounds of ancient genome duplications from the ancestral chordate Per gene. Searching for five teleost fish genomes in a combination of phylogenetic, splicing site, and syntenic analyses revealed that zebrafish have two per1 genes, per1a and per1b, one per2, and one per3; medaka, fugu, and tetraodon each have two per2 genes, per2a and per2b, one per1, and one per3; sticklebacks also have per2a, per2b, and one per1 but lack per3; and per1a/per1b in zebrafish and per2a/per2b in madaka, fugu, tetraodon, and stickleback are ancient duplicates. While the dN/dS ratios of the five fish per duplicates are all <1, suggesting that they likely have been subject to purifying selection, the Tajima relative rate test showed that zebrafish per1a/per1b and fugu and medaka per2a/per2b have asymmetric evolutionary rates, implicating that one of these duplicates might have been under positive selection or relaxed functional constraint. Further, in situ hybridization showed that zebrafish per1a and per1b clearly have distinct patterns of temporal and spatial expression. These results support the notion that extra copies of teleost per genes were generated from the fish-specific genome duplication, and divergent resolution after the duplication resulted in retention of different per duplicates in different fish, most of which have diverged significantly.

Autophagy is a highly conserved intracellular degradation system, and recently was shown to display circadian rhythms in mice. The mechanisms underlying circadian regulation of autophagy, however, are still unclear. Here, we observed that numbers of autophagosomes and autolysosomes exhibit daily rhythms in the zebrafish liver, and cebpb/(c/ebpβ) and various autophagy genes are rhythmically expressed in zebrafish larvae but significantly upregulated in per1b and TALEN-generated nr1d1/rev-erbα mutant fish, indicating that both Per1b and Nr1d1 play critical roles in autophagy rhythms. Luciferase reporter and ChIP assays show that the circadian clock directly regulates autophagy genes through Nr1d1, and also regulates transcription of cebpb through Per1b. We also found that fasting leads to altered expression of both circadian clock genes and autophagy genes in zebrafish adult peripheral organs. Further, transcriptome analysis reveals multiple functions of Nr1d1 in zebrafish. Taken together, these findings provide evidence for how the circadian clock regulates autophagy, imply that nutritional signaling affects both circadian regulation and autophagy activities in peripheral organs, and shed light on how circadian gene mutations act through autophagy to contribute to common metabolic diseases such as obesity.

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