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Biology subjects

Gras, K.

Publications and source records attributed to Gras, K..

5 recordsLinked to original sources

A dynamic 3D polymer model of the Escherichia coli chromosome driven by data from optical pooled screening

The DNA of bacterial cells is organized in a highly dynamic chromosome structure. To guarantee its propagation, the chromosome must replicate, segregate, and accommodate other biological processes like gene expression. Therefore, to understand the causal relationship between chromosome organization and biological function, it is essential to follow chromosome dynamics. Live-cell imaging of fluorescent labels allows the tracking of specific genomic locations, but the current imaging-based approaches to study bacterial chromosome organization over the cell cycle are limited in their throughput. Even with multicolor fluorescent locus labeling, the genomic resolution is insufficient to gain insights about the whole chromosome structure from a single experiment. Although sequencing-based methods like chromosome conformation capture provide high genomic coverage, they can only be done in bulk, providing an averaged static view of the chromosome structure. In this study, we address these limitations and investigate the bacterial chromosome organization by imaging fluorescently labeled loci in a library of Escherichia coli strains, following the 3D locations of 68 different loci in live cells in a single experiment. The resulting location distributions along the cells longitudinal and radial axes are used to inform a dynamic polymer model of the chromosome over the cell cycle. We show a global reorganization of the E. coli chromosome, at both the longitudinal and radial axes. Our model reproduces the known chromosomal architecture of four macrodomains and demonstrates how these domains form dynamically over the cell cycle.

systems biology↗

The 3D point spread function can be autoencoded in latent space

The 3D point spread function of a fluorescence emitter in a living cell is often different from that of the z-stack of bead images typically used as a reference. Here we show that the location in z of a fluorescent emitter can be directly accessed in the latent space of an autoencoder trained on the sample images without z-reference data. The corresponding decoding network represents an accurate point spread function.

biophysics↗

Three-dimensional localization of fluorescent proteins in living Escherichia coli

3D localization of fluorescent proteins (FPs) in living bacteria has been challenging due to the low signal-to-background ratio of the FPs and the relatively uncertain positioning of the cells in the optical reference system. Using mother-machine microfluidic devices together with deep learning, we present an approach that enables accurate 3D localization of FPs in Escherichia coli over long periods. We describe a method to simulate ground truth training data for the deep learning network based on background models generated from experimental data. We test the method by studying how chromosomal loci are relocated in 3D over the E. coli cell cycle. Since the cells are radially symmetric, we expect the same width and height distribution of fluorophores if the 3D positions are correctly determined. We observe this pattern experimentally for all the labelled loci on the chromosome. Interestingly, some loci are located exclusively in the periphery of the nucleoid, while others are more confined to the core of the nucleoid. This method enables studying any chromosomal loci inside living E. coli cells in high-throughput.

biophysics↗

The Escherichia coli chromosome moves to the replisome

The replisome, a large multi-subunit assembly, carries out the process of chromosome replication, connecting the unwrapping of the parental DNA with the creation of new daughter strands. In Escherichia coli, it is debated whether the two replisomes move independently along the two chromosome arms during replication or if they remain in close proximity, with the DNA being pulled toward the replisomes as replication progresses. Here, we use fluorescence microscopy to determine the location and diffusivity of the replisome and various chromosomal loci throughout the cell cycle of the model organism E. coli. We find that (i) the two replisomes are confined to a region of 250 nm and 120 nm along the cell long and short axis respectively, and the chromosomal loci move through this region sequentially based on distance from the origin of replication. (ii) When a locus is being replicated, its diffusivity slows down. (iii) There is no indication that replication initiation occurs close to the cell membrane as has been proposed in a few previous studies. In conclusion, our data supports a model with DNA moving towards stationary replisomes at replication.

microbiology↗

The spatial organization of replication is determined by cell size independently of chromosome copy number

Escherichia coli coordinates replication and division cycles by initiating replication at approximately the same size per chromosome at all growth rates. By tracking replisomes in individual cells through thousands of division cycles, we have dissected the mechanism behind this precise process. We have characterized wild-type cells grown under different conditions and also many mutants related to the expression and binding states of the initiator protein DnaA. This rich data set allowed us to compare the relative importance of all previously described control systems. We found that the replication initiation size regulation is not strongly dependent on the absolute concentration of DnaA, nor does it depend on active dnaA expression. Replication initiation is also not consistently triggered by cell division or replication termination. In contrast, some of the factors that convert DnaA between its ATP- and ADP-bound states have a strong effect on initiation size. We suggest a plausible model for DnaA-ATP mediated triggering of initiation at fast growth, where regulatory inactivation of DnaA (RIDA) is the main system for monitoring the number of chromosomes during active replication.

microbiology↗