scholarly journals Initiation of chromosome replication controls both division and replication cycles in E. coli through a double-adder mechanism

2019 ◽  
Author(s):  
Guillaume Witz ◽  
Erik van Nimwegen ◽  
Thomas Julou
Keyword(s):  
Cell Cycle ◽  
Cell Size ◽  
Cell Cycle Control ◽  
Size Control ◽  
Time Lapse ◽  
Growth Conditions ◽  
Replication Initiation ◽  
Stochastic Simulations ◽  
E Coli ◽  
Wide Range

AbstractLiving cells proliferate by completing and coordinating two essential cycles, a division cycle that controls cell size, and a DNA replication cycle that controls the number of chromosomal copies in the cell. Despite lacking dedicated cell cycle control regulators such as cyclins in eukaryotes, bacteria such as E. coli manage to tightly coordinate those two cycles across a wide range of growth conditions, including situations where multiple nested rounds of replication progress simultaneously. Various cell cycle models have been proposed to explain this feat, but it has been impossible to validate them so far due to a lack of experimental tools for systematically testing their different predictions. Recently new insights have been gained on the division cycle through the study of the structure of fluctuations in growth, size, and division in individual cells. In particular, it was found that cell size appears to be controlled by an adder mechanism, i.e. the added volume between divisions is held approximately constant and fluctuates independently of growth rate and cell size at birth. However, how replication initiation is regulated and coupled to cell size control remains unclear, mainly due to scarcity of experimental measurements on replication initiation at the single-cell level. Here, we used time-lapse microscopy in combination with microfluidics to directly measure growth, division and replication in thousands of single E. coli cells growing in both slow and fast growth conditions. In order to compare different phenomenological models of the cell cycle, we introduce a statistical framework which assess their ability to capture the correlation structure observed in the experimental data. Using this in combination with stochastic simulations, our data indicate that, instead of thinking of the cell cycle as running from birth to division, the cell cycle is controlled by two adder mechanisms starting at the initiation of replication: the added volume since the last initiation event controls the timing of both the next division event and the next replication initiation event. Interestingly the double-adder mechanism identified in this study has recently been found to explain the more complex cell cycle of mycobacteria, suggesting shared control strategies across species.

scholarly journals Initiation of chromosome replication controls both division and replication cycles in E. coli through a double-adder mechanism

eLife ◽  
2019 ◽  
Vol 8 ◽  
Author(s):  
Guillaume Witz ◽  
Erik van Nimwegen ◽  
Thomas Julou
Keyword(s):  
Cell Cycle ◽  
Time Lapse ◽  
Growth Conditions ◽  
Replication Initiation ◽  
Stochastic Simulations ◽  
E Coli ◽  
Time Lapse Microscopy ◽  
Statistical Framework ◽  
Wide Range ◽  
Cell Cycle Models

Living cells proliferate by completing and coordinating two cycles, a division cycle controlling cell size and a DNA replication cycle controlling the number of chromosomal copies. It remains unclear how bacteria such as Escherichia coli tightly coordinate those two cycles across a wide range of growth conditions. Here, we used time-lapse microscopy in combination with microfluidics to measure growth, division and replication in single E. coli cells in both slow and fast growth conditions. To compare different phenomenological cell cycle models, we introduce a statistical framework assessing their ability to capture the correlation structure observed in the data. In combination with stochastic simulations, our data indicate that the cell cycle is driven from one initiation event to the next rather than from birth to division and is controlled by two adder mechanisms: the added volume since the last initiation event determines the timing of both the next division and replication initiation events.

scholarly journals Coordination between E. coli Cell Size and Cell Cycle Mediated by DnaA

2020 ◽  
Author(s):  
Qing Zhang ◽  
Zhichao Zhang ◽  
Hualin Shi
Keyword(s):  
Cell Cycle ◽  
Growth Rate ◽  
Dna Replication ◽  
Cell Size ◽  
Doubling Time ◽  
Cell Mass ◽  
Replication Initiation ◽  
General Relationship ◽  
E Coli ◽  
Regulatory Processes

Sixty years ago, bacterial cell size was found as an exponential function of growth rate. Fifty years ago, a more general relationship was proposed, in which the cell mass was equal to the initiation mass multiplied by the ratio of the total time of the C and D periods to the doubling time. This relationship has recently been experimentally confirmed by perturbing doubling time, C period, D period or the initiation mass. However, the underlying molecular mechanism remains unclear. Here, we developed a mechanistic and kinetic model to describe how the initiator protein DnaA mediates the initiation of DNA replication in E. coli. In the model, we introduced an initiation probability function involving competitive binding of DnaA-ATP (active) and DnaA-ADP (inactive) at replication origin to determine the initiation of replication. In addition, we considered RNAP availability, ppGpp inhibition, DnaA autorepression, DnaA titration by chromosomal sites, hydrolysis of DnaA-ATP along with DNA replication, reactivation of DnaA-ADP and established a kinetic description of these DnaA regulatory processes. We simulated DnaA kinetics and obtained a self-consistent cell size and a regular DnaA oscillation coordinated with the cell cycle at steady state. The relationship between the cell size obtained by the simulation and the growth rate, C period, D period or initiation mass reproduces the results of the experiment. This model also predicts how the number of DnaA and the initiation mass vary with the perturbation parameters (including those reflecting the mutation or interference of DnaA regulatory processes), which is comparable to experimental data. The results suggest that the regulatory mechanisms of DnaA level and activity are associated with the invariance of initiation mass and the cell size general relationship for matching frequencies of replication initiation and cell division. This study may provide clues for concerted control of cell size and cell cycle in synthetic biology.

scholarly journals The size-wise nucleus: nuclear volume control in eukaryotes

2007 ◽  
Vol 179 (4) ◽  
pp. 583-584 ◽  
Author(s):  
Michael D. Huber ◽  
Larry Gerace
Keyword(s):  
Fission Yeast ◽  
Cell Size ◽  
Size Control ◽  
Growth Conditions ◽  
Nuclear Size ◽  
Yeast Cells ◽  
Volume Control ◽  
Wide Range ◽  
The Relationship

Eukaryotic cells have an “awareness” of their volume and organellar volumes, and maintain a nuclear size that is proportional to the total cell size. New studies in budding and fission yeast have examined the relationship between cell and nuclear volumes. It was found that the size of the nucleus remains proportional to cell size in a wide range of genetic backgrounds and growth conditions that alter cell volume and DNA content. Moreover, in multinucleated fission yeast cells, Neumann and Nurse (see p. 593 of this issue) found that the sizes of individual nuclei are controlled by the relative amount of cytoplasm surrounding each nucleus. These results highlight a role of the cytoplasm in nuclear size control.

scholarly journals Constriction rate modulation can drive cell size control and homeostasis inC. crescentus

2018 ◽  
Author(s):  
Ambroise Lambert ◽  
Aster Vanhecke ◽  
Anna Archetti ◽  
Seamus Holden ◽  
Felix Schaber ◽  
...  
Keyword(s):  
Cell Cycle ◽  
Cell Size ◽  
Caulobacter Crescentus ◽  
Size Control ◽  
Time Lapse ◽  
Structured Illumination ◽  
Structured Illumination Microscopy ◽  
Daughter Cells ◽  
Division Site ◽  
Cell Size Control

AbstractRod-shaped bacteria typically grow first via sporadic and dispersed elongation along their lateral walls, then via a combination of zonal elongation and constriction at the division site to form the poles of daughter cells. Although constriction comprises up to half of the cell cycle, its impact on cell size control and homeostasis has rarely been considered. To reveal the roles of cell elongation and constriction in bacterial size regulation during cell division, we captured the shape dynamics ofCaulobacter crescentuswith time-lapse structured illumination microscopy and used molecular markers as cell-cycle landmarks. We perturbed constriction rate using a hyperconstriction mutant or fosfomycin inhibition. We report that constriction rate contributes to both size control and homeostasis, by determining elongation during constriction, and by compensating for variation in pre-constriction elongation on a single-cell basis.

scholarly journals Coordination of gene expression with cell size enables Escherichia coli to efficiently maintain motility across conditions

2021 ◽  
Author(s):  
Tomoya Honda ◽  
Jonas Cremer ◽  
Leonardo Mancini ◽  
Zhongge Zhang ◽  
Teuta Pilizota ◽  
...  
Keyword(s):  
Gene Expression ◽  
Escherichia Coli ◽  
Cell Size ◽  
Sensory System ◽  
Size Control ◽  
Growth Conditions ◽  
Fast Growth ◽  
Cellular Motility ◽  
E Coli ◽  
Minimum Number

To swim and navigate, motile bacteria synthesize a complex motility machinery involving flagella, motors, and a sensory system. A myriad of studies has elucidated the molecular processes involved, but less is known about the coordination of motility expression with cellular physiology: In Escherichia coli, motility genes are strongly upregulated in nutrient-poor conditions compared to nutrient-replete conditions; yet a quantitative link to cellular motility has not been developed. Here, we systematically investigate gene expression, swimming behavior, and cell growth across a broad spectrum of exponential growth condition. We establish that E. coli up-regulates the expression of motility genes at slow growth to compensate for reduction in cell size, such that the number of flagella per cell is maintained across conditions. The observed 4-5 flagella per cell is the minimum number needed to keep the majority of cells motile. This simple regulatory objective allows E. coli cells to remain motile across a broad range of growth conditions while keeping the biosynthetic and energetic demands to establish and drive the motility machinery at the minimum needed. Given the strong reduction in flagella synthesis resulting from cell size increases at fast growth, our findings also provide a novel physiological perspective on bacterial cell size control: A larger cell-size at fast growth is an efficient strategy to increase the allocation of cellular resources to the synthesis of those proteins required for fast growth, while maintaining processes such as motility which are only needed on a per-cell basis.

scholarly journals Response to comment on ‘Initiation of chromosome replication controls both division and replication cycles in E. coli through a double-adder mechanism’

2020 ◽  
Author(s):  
Guillaume Witz ◽  
Thomas Julou ◽  
Erik van Nimwegen
Keyword(s):  
Cell Cycle ◽  
Cell Cycle Control ◽  
Time Lapse ◽  
Analysis Method ◽  
E Coli ◽  
Statistical Analysis Method ◽  
Bacterial Cell Cycle ◽  
The One ◽  
Analysis Errors ◽  
Cell Cycle Models

AbstractLast year we published an article (Witz et al., 2019) in which we used time-lapse microscopy in combination with microfluidics to measure growth, division and replication in single E. coli cells on the one hand, and developed a new statistical analysis method to calculate the ability of different cell cycle models to capture the correlation structure observed in the data on the other hand. This led us to propose a new model of cell cycle control in E. coli which we called the double-adder model.Recently Le Treut et al. published a comment (Le Treut et al., 2020) on our article which made a number of highly critical claims, including allegations that our own data support a different model than the one we proposed, and that our model cannot reproduce the ‘adder phenotype’ observed in the data. We here show that all these allegations are false and based on basic analysis errors. Although our focus is on explaining the errors in the analysis of Le Treut et al, we have attempted to make the presentation of interest to a broader scientific audience by discussing the issues in the context of what our current understanding is of the bacterial cell cycle, and to what extent recent data either support or reject various proposed models.

Comment on ‘Initiation of chromosome replication controls both division and replication cycles in E. coli through a double-adder mechanism’

2020 ◽  
Author(s):  
Guillaume Le Treut ◽  
Fangwei Si ◽  
Dongyang Li ◽  
Suckjoon Jun
Keyword(s):  
Single Cell ◽  
Cell Size ◽  
Size Control ◽  
Chromosome Replication ◽  
Replication Initiation ◽  
Replication Cycle ◽  
Correlation Structure ◽  
Published Data ◽  
E Coli ◽  
Cell Size Control

AbstractWitz et al. recently performed single-cell mother machine experiments to track growth and the replication cycle in E. coli. They analyzed the correlation structure of selected parameters using both their data and published data, and concluded that E. coli cell-size control is implemented at replication initiation, which challenged the newly emerged division-centric mechanism of cell-size control in bacteria. We repeated Witz et al.’s analysis, and performed additional experiments and analytical calculations. These results explain Witz et al.’s observation and in fact support the division-centric model.

scholarly journals Single-cell data and correlation analysis support the independent double adder model in both Escherichia coli and Bacillus subtilis

2020 ◽  
Author(s):  
Guillaume Le Treut ◽  
Fangwei Si ◽  
Dongyang Li ◽  
Suckjoon Jun
Keyword(s):  
Escherichia Coli ◽  
Cell Cycle ◽  
Bacillus Subtilis ◽  
Cell Division ◽  
Correlation Analysis ◽  
Size Control ◽  
Replication Initiation ◽  
Biological Models ◽  
Value Analysis ◽  
E Coli

AbstractThe reference point for cell-size control in the cell cycle is a fundamental biological question. We previously reported that we were unable to reproduce the conclusions of Witz et al.’s eLife paper (Witz, van Nimwegen, and Julou 2019) entitled, “Initiation of chromosome replication controls both division and replication cycles in E. coli through a double-adder mechanism”, despite extensive efforts. In this ‘replication double adder’ (RDA) model, both replication and division cycles are determined via replication initiation as the sole implementation point of size control. Witz et al. justified the RDA model using a type of correlation analysis (the “I-value analysis”) that they developed. By contrast, we previously showed that, in both Escherichia coli and Bacillus subtilis, replication initiation and cell division are determined by balanced biosynthesis of key cell cycle proteins (e.g., DnaA for initiation and FtsZ for cell division) and their accumulation to their respective threshold numbers, which Witz et al. coined the ‘independent double adder’ (IDA) model. The adder phenotype is a natural quantitative consequence of these mechanistic principles. In a recent bioRxiv response to our report, Witz and colleagues explicitly confirmed two important limitations of the I-value analysis: (1) it is only applicable to non-overlapping cell cycles, wherein E. coli is known to deviate from the adder principle, and (2) it is only applicable to select biological models and, for example, cannot evaluate the IDA model. These limitations of the I-value analysis were not explained in the original eLife paper and were overlooked during the review process. In this report, we show using data analysis, mathematical modeling, and experiments why the I-value analysis - in its current implementation - cannot compare different biological models. Furthermore, the RDA model is incompatible with the adder principle and is not broadly supported by experimental data. For completeness, we also provide a detailed point-by-point response to Witz et al.’s response (Witz, Julou, and van Nimwegen 2020) in the Supplemental Information.

scholarly journals Size control models of Saccharomyces cerevisiae cell proliferation.

1982 ◽  
Vol 2 (4) ◽  
pp. 361-368 ◽  
Author(s):  
A E Wheals
Keyword(s):  
Saccharomyces Cerevisiae ◽  
Cell Proliferation ◽  
Critical Size ◽  
Transition Probability ◽  
Size Control ◽  
Time Lapse ◽  
Growth Conditions ◽  
Yeast Cells ◽  
Cycle Times ◽  
The Individual

By using time-lapse photomicroscopy, the individual cycle times and sizes at bud emergence were measured for a population of saccharomyces cerevisiae cells growing exponentially under balanced growth conditions in a specially constructed filming slide. There was extensive variability in both parameters for daughter and parent cells. The data on 162 pairs of siblings were analyzed for agreement with the predictions of the transition probability hypothesis and the critical-size hypothesis of yeast cell proliferation and also with a model incorporating both of these hypotheses in tandem. None of the models accounted for all of the experimental data, but two models did give good agreement to all of the data. The wobbly tandem model proposes that cells need to attain a critical size, which is very variable, enabling them to enter a start state from which they exit with first order kinetics. The sloppy size control model suggests that cells have an increasing probability per unit time of traversing start as they increase in size, reaching a high plateau value which is less than one. Both models predict that the kinetics of entry into the cell division sequence will strongly depend on variability in birth size and thus will be quite different for daughters and parents of the asymmetrically dividing yeast cells. Mechanisms underlying these models are discussed.

scholarly journals PP2ARts1 is a master regulator of pathways that control cell size

2014 ◽  
Vol 204 (3) ◽  
pp. 359-376 ◽  
Author(s):  
Jessica Zapata ◽  
Noah Dephoure ◽  
Tracy MacDonough ◽  
Yaxin Yu ◽  
Emily J. Parnell ◽  
...  
Keyword(s):  
Cell Cycle ◽  
Cell Growth ◽  
Cell Size ◽  
Control Cell ◽  
Size Control ◽  
Regulatory Subunit ◽  
Delay Cell ◽  
Cell Cycle Entry ◽  
G1 Cyclin

Cell size checkpoints ensure that passage through G1 and mitosis occurs only when sufficient growth has occurred. The mechanisms by which these checkpoints work are largely unknown. PP2A associated with the Rts1 regulatory subunit (PP2ARts1) is required for cell size control in budding yeast, but the relevant targets are unknown. In this paper, we used quantitative proteome-wide mass spectrometry to identify proteins controlled by PP2ARts1. This revealed that PP2ARts1 controls the two key checkpoint pathways thought to regulate the cell cycle in response to cell growth. To investigate the role of PP2ARts1 in these pathways, we focused on the Ace2 transcription factor, which is thought to delay cell cycle entry by repressing transcription of the G1 cyclin CLN3. Diverse experiments suggest that PP2ARts1 promotes cell cycle entry by inhibiting the repressor functions of Ace2. We hypothesize that control of Ace2 by PP2ARts1 plays a role in mechanisms that link G1 cyclin accumulation to cell growth.

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