Although several proteins have been identified that facilitate chromosome segregation in bacteria, no clear analogue of the mitotic machinery in eukaryotic cells has been identified. In order to investigate if recognizable patterns of segregation exist during the cell cycle, we tracked the segregation of duplicated origin regions in Bacillus subtilis for 60 min in the fastest practically achievable resolution, achieving 10-s intervals. We found that while separation occurred in random patterns, often including backwards movement, overall, segregation of loci near the origins of replication was linear for the entire cell cycle. Thus, the process of partitioning can be best described as directed motion. Simulations with entropy-driven separation of polymers synthesized by two polymerases show sudden bursts of movement and segregation patterns compatible with the observed in vivo patterns, showing that for Bacillus, segregation patterns can be modeled based on entropic forces. To test if obstacles for replication forks lead to an alteration of the partitioning pattern, we challenged cells with chemicals inducing DNA damage or blocking of topoisomerase activity. Both treatments led to a moderate slowing down of separation, but linear segregation was retained, showing that chromosome segregation is highly robust against cell cycle perturbation. IMPORTANCE We have followed the segregation of origin regions on the Bacillus subtilis chromosome in the fastest practically achievable temporal manner, for a large fraction of the cell cycle. We show that segregation occurred in highly variable patterns but overall in an almost linear manner throughout the cell cycle. Segregation was slowed down, but not arrested, by treatment of cells that led to transient blocks in DNA replication, showing that segregation is highly robust against cell cycle perturbation. Computer simulations based on entropy-driven separation of newly synthesized DNA polymers can recapitulate sudden bursts of movement and segregation patterns compatible with the observed in vivo patterns, indicating that for Bacillus, segregation patterns may include entropic forces helping to separate chromosomes during the cell cycle.
Single-particle (molecule) tracking (SPT/SMT) is a powerful method to study dynamic processes in living bacterial cells at high spatial and temporal resolution. We have performed single-molecule imaging of early DNA double-strand break (DSB) repair events during homologous recombination in the model bacterium Bacillus subtilis. Our findings reveal that DNA repair centres arise at all sites on the chromosome and that RecN, RecO and RecJ perform fast, enzyme-like functions during detection and procession of DNA double strand breaks, respectively. Interestingly, RecN changes its diffusion behavior upon induction of DNA damage, from a largely diffusive to a DNA-scanning mode, which increases efficiency of finding all sites of DNA breaks within a frame of few seconds. RecJ continues being bound to replication forks, but also assembles at many sites on the nucleoid upon DNA damage induction. RecO shows a similar change in its mobility as RecN, and also remains bound to sites of damage for few hundred milliseconds. Like RecN, it enters the nucleoid in damaged cells. Our data show that presynaptic preparation of DSBs including loading of RecA onto ssDNA is highly rapid and dynamic, and occurs throughout the chromosome, and not only at replication forks or only at distinct sites where many breaks are processes in analogy to eukaryotic DNA repair centres.
Like many bacteria, possesses two DNA translocases that affect chromosome segregation at different steps. Prior to septum closure, nonsegregated DNA is moved into opposite cell halves by SftA, while septum-entrapped DNA is rescued by SpoIIIE. We have used single-molecule fluorescence microscopy and tracking (SMT) experiments to describe the dynamics of the two different DNA translocases, the cell division protein FtsA and the glycolytic enzyme phosphofructokinase (PfkA), in real time. SMT revealed that about 30% of SftA molecules move through the cytosol, while a fraction of 70% is septum bound and static. In contrast, only 35% of FtsA molecules are static at midcell, while SpoIIIE molecules diffuse within the membrane and show no enrichment at the septum. Several lines of evidence suggest that FtsA plays a role in septal recruitment of SftA: an deletion results in a significant reduction in septal SftA recruitment and a decrease in the average dwell time of SftA molecules. FtsA can recruit SftA to the membrane in a heterologous eukaryotic system, suggesting that SftA may be partially recruited via FtsA. Therefore, SftA is a component of the division machinery, while SpoIIIE is not, and it is otherwise a freely diffusive cytosolic enzyme Our developed SMT script is a powerful technique to determine if low-abundance proteins are membrane bound or cytosolic, to detect differences in populations of complex-bound and unbound/diffusive proteins, and to visualize the subcellular localization of slow- and fast-moving molecules in live cells. DNA translocases couple the late events of chromosome segregation to cell division and thereby play an important role in the bacterial cell cycle. The proteins fall into one of two categories, integral membrane translocases or nonintegral translocases. We show that the membrane-bound translocase SpoIIIE moves slowly throughout the cell membrane in and does not show a clear association with the division septum, in agreement with the idea that it binds membrane-bound DNA, which can occur through cell division across nonsegregated chromosomes. In contrast, SftA behaves like a soluble protein and is recruited to the division septum as a component of the division machinery. We show that FtsA contributes to the recruitment of SftA, revealing a dual role of FtsA at the division machinery, but it is not the only factor that binds SftA. Our work represents a detailed study of DNA translocases at the single-molecule level.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.