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Micali, G.

Publications and source records attributed to Micali, G..

2 recordsLinked to original sources

Dissecting the control mechanisms for DNA replication and cell division in E. coli

Understanding how single E. coli cells coordinate the timing of cell division with genome replication would unlock a classic problem of biology, and open the way to address cell-cycle progression at the single-cell level. Several recent studies produced new data and proposed different models, based on the hypothesis that replication-segregation is the bottleneck process for cell division. However, due to the apparent contrast in both experimental results and proposed mechanisms, the emerging picture is fragmented and unclear. In this work, we re-evaluate jointly available data and models, and we show that, while each model contains useful insights, none of the proposed models, as well as generalizations based on the same assumptions, correctly describes all the correlation patterns observed in data. This analysis leads us to 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 together set the time of cell division. This framework correctly captures available data and allows us to select a nearly constant added size per origin between subsequent initiations as the most likely mechanism setting initiation of replication.

cell biology

Concurrent processes set E. coli cell division

A cell can divide only upon completion of chromosome segregation, or its daughters would lose genetic material [1, 2]. In E. coli bacteria, the prevalent view is that cells divide a fixed amount of time after they start to copy the chromosomes [3, 4], and a known pathway prevents cells from dividing if the chromosomes interfere with the cytokinesis machinery [5]. However, whether completion of segregation is typically the bottleneck process for the decision to divide has never been stringently tested on single cells. We show how key trends in single-cell data lead to challenge the classic idea of replication-segregation limiting cell division. Instead, the data agree with a model where two concurrent processes (setting replication initiation and inter-division time) set cell division on competing time scales. During each cell cycle, division is set by the slowest process (an \" ...

cell biology