Statistical mechanics of clock gene networks underlying circadian rhythms

All multicellular organisms embed endogenous circadian oscillators or clocks that rhythmically regulate a wide variety of processes in response to daily environmental cycles. Previous molecular studies using rhythmic mutants for several model systems have identified set genes responsible activities and illustrated the mechanisms underlying how disruptions rhythms are associated with sort aberrant cell cycling. However, use these forward genetic is impaired by limited number mutations can be induced only single genome, limiting identification many other conserved non-conserved clock genes. Genetic linkage association mapping provides an unprecedented glimpse into genome-wide scanning characterization rhythms. The implementation sophisticated statistical models not identify key quantitative trait loci (cQTL) but also, more importantly, reveal complete atlas control constituted gene interactomes. Here, we introduce review advanced mechanics framework coalescing all possible intricate well-organized interaction networks application this widely available populations will reshape further our understanding signatures behind enlarged range species including microbes, plants, humans.