The cyanobacterium Synechococcus elongatus PCC 7942 exhibits oscillations in mRNA transcript abundance with 24-h periodicity under continuous light conditions. The mechanism underlying these oscillations remains elusive-neither cis nor trans-factors controlling circadian gene expression phase have been identified. Here, we show that the topological status of the chromosome is highly correlated with circadian gene expression state. We also demonstrate that DNA sequence characteristics of genes that appear monotonically activated and monotonically repressed by chromosomal relaxation during the circadian cycle are similar to those of supercoiling-responsive genes in Escherichia coli. Furthermore, perturbation of superhelical status within the physiological range elicits global changes in gene expression similar to those that occur during the normal circadian cycle.circadian clock ͉ gene expression ͉ supercoiling ͉ cyanobacteria C ircadian rhythms in gene expression have been identified in many organisms. In general, 5-15% of an organism's transcriptome oscillates with 24-h periodicity in the absence of external cues such as light to dark or dark to light transitions (1). These transcriptional rhythms are controlled by an endogenous biological clock and allow organisms to schedule processes at appropriate times during the day and night cycle. The cyanobacterium Synechococcus elongatus PCC 7942 (hereafter, S. elongatus) is particularly striking because the majority of its gene expression is under circadian control in continuous light conditions. A ''promoter trap'' analysis using a bacterial luciferase reporter integrated at approximately 30,000 random loci showed circadian oscillations in bioluminescence at all 800 locations where bioluminescence signal was detected (2). A recent measurement of mRNA levels by microarray analysis demonstrated that at least 30% of transcript levels oscillated in circadian fashion (3). The discrepancy between promoter trap and microarray analysis is not surprising and is at least partially attributable to a combination of: (i) the limited time-resolution of microarrays and; (ii) the time-averaging of transcript levels observed in the bioluminescence output of promoter trap studies due to finite luciferase protein lifetime. The actual percentage of circadian transcripts in S. elongatus is likely between 30 and 100%; here we observe that 64% of transcripts oscillate with circadian periodicity (Fig. 1A).In S. elongatus, circadian oscillations in transcriptional activity require three genes, kaiA, kaiB, and kaiC, whose products comprise the core circadian oscillator. The proteins encoded by the kai genes interact with one another to generate circadian rhythms in KaiC phosphorylation at serine and threonine residues (4). Amazingly, an in vitro mixture of the Kai proteins and ATP reproduces in vivo oscillations in the phosphorylation state of KaiC (5). Inactivation of any kai gene abolishes circadian oscillations in both transcription and phosphorylation, and when kaiC is mutated such that p...

Genomic technologies show great potential for classifying disease states and toxicological impacts from exposure to chemicals into functional categories. In environmental monitoring, the ability to classify field samples and predict the pollutants present in these samples could contribute to monitoring efforts and the diagnosis of contaminated sites. Using gene expression analysis, we challenged our custom Daphnia magna cDNA microarray to determine the presence of a specific metal toxicant in blinded field samples collected from two copper mines in California. We compared the gene expression profiles from our field samples to previously established expression profiles for Cu, Cd, and Zn. The expression profiles from the Cu-containing field samples clustered with the laboratory-exposed Cu-specific gene expression profiles and included genes previously identified as copper biomarkers, verifying that gene expression analysis can predict environmental exposure to a specific pollutant. In addition, our study revealed that upstream field samples containing undetectable levels of Cu caused the differential expression of only a few genes, lending support for the concept of a no observed transcriptional effect level (NOTEL). If confirmed by further studies, the NOTEL may play an important role in discriminating polluted and nonpolluted sites in future monitoring efforts.