Search bioRxiv⌕ Search

Biology subjects

Yair, M.

Publications and source records attributed to Yair, M..

2 recordsLinked to original sources

Natural Variation in Clock polyQ Length Is Associated with Circadian Function to Climatic Gradients in Drosophila melanogaster

Natural variation in circadian clock genes provides a powerful framework for understanding how organisms respond to environmental heterogeneity. The Clock (Clk) gene encodes a core transcriptional regulator of circadian rhythms and contains a polymorphic polyglutamine (polyQ) tract whose evolutionary significance remains unclear. Here, we integrate population genomic, behavioral, and molecular analyses to investigate the functional and geographic patterns of Clk polyQ variation in Drosophila melanogaster. Using data from 127 European populations, we identify 11 Clk polyQ alleles and find that their frequencies are geographically structured, most consistently along an east-west gradient: the Q25 and Q27 alleles show robust clines in longitude and in a bioclimatic axis of continentality, whereas latitudinal and altitudinal trends are weaker. Behavioral assays of near-isogenic lines revealed that polyQ length modulates circadian function under thermal challenge: most alleles maintained stable free-running periods across temperatures, whereas the intermediate-length Q25 allele showed the strongest, though modest, temperature sensitivity. Circadian phase showed pronounced allele-specific sensitivity to elevated temperature in laboratory assays, although phase variation did not display a consistent relationship with geographic variables. At the molecular level, luciferase reporter assays showed that longer polyQ alleles exhibited higher transcriptional activity, linking polyQ length to CLK-mediated gene expression. Together, these results demonstrate that natural variation in Clk polyQ length has measurable functional consequences for circadian regulation and is geographically structured in patterns consistent with underlying climatic variation, highlighting the potential for low-complexity regions to modulate clock function in a context-dependent manner across environmental gradients.

evolutionary biology↗

Mapping the Regulatory Architecture of Circadian Clock Adaptation: A Genome-Wide eQTL Analysis in Drosophila melanogaster

The circadian clock system enables organisms to synchronize internal daily rhythms with environmental cues, critically impacting survival and fitness. While the molecular architecture of this system in Drosophila melanogaster is well-characterized through transcription-translation negative feedback loops involving ten core clock genes, regulatory genetic variants affecting their expression remain largely unexplored. This study leveraged natural variation in clock gene expression to identify expression quantitative trait loci (eQTLs) through genome-wide association mapping. We utilized the Drosophila Genomic Reference Panel (DGRP), consisting of 205 fully sequenced inbred lines, and measured relative expression levels of all core clock genes in 120 lines via qPCR at a single time point (two hours after light onset). GWAS analysis identified 137 significant SNPs (p < 10-5) associated with expression variation across the clock genes. Expression levels showed substantial natural variation, with pdp1{varepsilon} exhibiting the highest variability (89-fold difference between extreme lines) and cyc the lowest (11.3-fold). Interestingly, only three significant SNPs were located within clock genes themselves (all in Clk), while the majority represented trans-eQTLs in genes with diverse molecular functions. Notable candidates include transcription factors (e.g. Abd-B, tai, E5), RNA-binding proteins (PUM, Bru-3, Mbl), and long non-coding and antisense RNAs. Variants were also found in Mad and gbb, genes implicated in the BMP signaling pathway, which has previously been linked to circadian regulation. This comprehensive eQTL map provides new insights into the regulatory architecture of the circadian clock system and potential mechanisms of evolutionary adaptation to environmental timing cues.

genomics↗