Live-cell imaging enables reporter-free monitoring of the circadian rhythm in individual Synechocystis cells

Abstract

In vivo monitoring of circadian rhythms depends on reliable and non-invasive detection methods. This is often achieved by expressing reporter genes heterologously under the control of a circadian promoter. The activity or fluorescence of the gene product is then used as a readout. To avoid the need for generation of such reporter strains, we recently established a reporter-free detection method for cyanobacterial batch cultures. To determine whether these rhythms are driven at the level of individual cells or result from population-based effects, such as gating of cell division, we analyzed individual Synechocystis sp. PCC 6803 cells by combining a microfluidic cultivation technique with multipoint time-lapse microscopy imaging at the single-cell resolution. Hundreds of time-lapse image sequences, acquired over a period of up to ten days, were processed using our deep learning cell segmentation workflow. Although the cells had been entrained by a 12-hour light-dark cycle, neither cell size nor cell division displayed circadian rhythms. This indicates the absence of circadian gating of cell division in Synechocystis. Instead, we observed circadian oscillation in the average brightness of the phase contrast of individual Synechocystis cells. To demonstrate how phase-contrast analysis of single cells can be complemented by backscatter analysis of batch cultures, we investigated the wildtype, a deletion mutant known to affect circadian rhythms ({Delta}kaiC3) and complementation strains at both, the single-cell and batch levels. We concluded that phase contrast and backscatter likely measured the same rhythmic changes in the refractive index of the cells. The method presented here will advance circadian research by enabling the analysis of circadian rhythms in individual cells without the need for expression of reporter molecules.