Dissecting the Control Mechanisms for DNA Replication and Cell Division in E. coli

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Abstract

Understanding the classic problem of how single E. coli cells coordinate cell division with genome replication would open the way to addressing cell-cycle progression at the single-cell level. Recent studies produced new data, but the contrast in their conclusions and proposed mechanisms makes the emerging picture fragmented and unclear. Here, we re-evaluate available data and models, including generalizations based on the same assumptions. We show that although they provide useful insights, none of the proposed models captures all correlation patterns observed in data. We conclude that the assumption that replication is the bottleneck process for cell division is too restrictive. Instead, we propose that two concurrent cycles responsible for division and initiation of DNA replication set the time of cell division. This framework allows us to select a nearly constant added size per origin between subsequent initiations as the most likely mechanism setting initiation of replication. The current paradigm assumes that E. coli cell division occurs a fixed time after DNA replication, but recent single-cell studies reached contrasting conclusions on this. By model-guided data analysis, Micali et al. falsify the classic assumption and test mechanistic scenarios for concurrent processes competing to determine cell division.

Figures

  • Figure 1. Comparison of the Existing Models Linking Cell-Cycle Progression to Cell Division in Single E. coli Cells (A) Top: all models need to comply to the robust near-adder pattern found in data (added size over the cell cycle uncorrelated with initial size). Middle: near-adder pattern in the size-growth plot of net growth G= logðVf=V0Þ=at versus logarithmic initial size logðV0Þ with a negative slope of 1/2. The slope parameter lG between 0 (no control) and 1 (absolute threshold) quantifies size control. Bottom: definition of main variables (see Table S1). (B) Opposite hypotheses for cell division. Top: completion of replication and segregation is always rate limiting (Ho and Amir, 2015; Wallden et al., 2016). Bottom: it is never limiting, and division may be triggered by, e.g., a threshold amount of surface material necessary to form the septum (Harris and Theriot, 2016). (C) Models in which replication and segregation is the bottleneck. The cartoon plots summarize the expectation, in each model, for correlation patterns between the volume at birth V0 and the size at initiation per origin VB=nO (left plot) and between atC+D and logarithmic initiation size logVB, where tC+D is the period between replication initiation and division (right plot). Top: Wallden et al. (2016) assume that the periods associated with replication and segregation are consecutive and juxtaposed in series. This model postulates a critical size per origin at initiation and a duration of tC+D that is coupled to single-cell growth rate, but not to cell size. Bottom: in the Ho-Amir model (Ho and Amir, 2015), the timing between initiation and division tC+D and that between subsequent initiations tI run in parallel from a single initiation event. Only tI is coupled to size in a way that a constant size per origin is added between successive initiations.
  • Figure 2. Current Models Fail to Capture the Experimental Correlation Patterns of the Cell-Cycle Intervals Related to Replication and Segregation (C+D Period) Scatterplot and slope of the size-growth plot for theC+D period, i.e., atC+D as a function of initiation size logðVBÞ. Data from Wallden et al. (2016) show slow (yellow squares) and intermediate (light blue triangles) growth conditions, and data fromAdiciptaningrum et al. (2015) are shown as green circles. All datasets presented were obtained by labeling SeqA molecules. The negative values of the slopes (dashed lines from linear fits of binned data), quantifying the parameters lC+D, robustly show size-coupled growth during the C+D period.
  • Figure 4. Inconclusive Empirical Evidence for a Sizer at Initiation
  • Figure 3. Scheme of the Generalized Models BCD and ICD
  • Figure 5. Discrepancy of Data with General Models Assuming that Replication-Segregation Is the Bottleneck Process for Cell Division
  • Figure 6. Mother-Daughter Correlations Bypass the Sizer Theorem, but the Resulting Model Is Still in Contrast to Available Data
  • Figure 7. Correlation Patterns of the Concurrent-Cycles Model Fully Agree with Available Data and Support the Hypothesis of a NearAdder per Origin between Initiations

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CITATION STYLE

APA

Micali, G., Grilli, J., Marchi, J., Osella, M., & Cosentino Lagomarsino, M. (2018). Dissecting the Control Mechanisms for DNA Replication and Cell Division in E. coli. Cell Reports, 25(3), 761-771.e4. https://doi.org/10.1016/j.celrep.2018.09.061

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