4.7 Review

Bacterial cell proliferation: from molecules to cells

Journal

FEMS MICROBIOLOGY REVIEWS
Volume 45, Issue 1, Pages -

Publisher

OXFORD UNIV PRESS
DOI: 10.1093/femsre/fuaa046

Keywords

bacterial cell proliferation; cell cycle regulation; adder; spatio-temporal coordination; resource allocation

Categories

Funding

  1. Centre National de la Recherche Scientifique
  2. Universite Toulouse III - Paul Sabatier
  3. Ministere de l'Enseignement superieur, de la Recherche et de l'Innovation

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Bacterial cell proliferation is highly efficient due to the robustness of the cell cycle synchronization with cell growth and cytokinesis. Recent advances suggest simple phenomenological models at the cellular scale, contrasting the apparent simplicity with the underlying complexity of regulatory networks. Coordination between DNA and division cycles and cell growth is mediated by a wealth of other mechanisms, and understanding these molecular mechanisms is critical for integrating controls into synthetic models.
Bacterial cell proliferation is highly efficient, both because bacteria grow fast and multiply with a low failure rate. This efficiency is underpinned by the robustness of the cell cycle and its synchronization with cell growth and cytokinesis. Recent advances in bacterial cell biology brought about by single-cell physiology in microfluidic chambers suggest a series of simple phenomenological models at the cellular scale, coupling cell size and growth with the cell cycle. We contrast the apparent simplicity of these mechanisms based on the addition of a constant size between cell cycle events (e.g. two consecutive initiation of DNA replication or cell division) with the complexity of the underlying regulatory networks. Beyond the paradigm of cell cycle checkpoints, the coordination between the DNA and division cycles and cell growth is largely mediated by a wealth of other mechanisms. We propose our perspective on these mechanisms, through the prism of the known crosstalk between DNA replication and segregation, cell division and cell growth or size. We argue that the precise knowledge of these molecular mechanisms is critical to integrate the diverse layers of controls at different time and space scales into synthetic and verifiable models.

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