fr
Article scientifique
Anglais

A Stochastic Process Determines the Time at which Cell Division Begins in Escherichia coli

Contributeurs/tricesBremer, Hans
Publié dansJournal of Theoretical Biology, vol. 118, no. 3, p. 351-365
Date de publication1986
Résumé

The theoretical distributions of cell masses in exponential cultures of bacteria were derived for both total cells and cells having formed a constriction in preparation for division. The parameters used for this derivation include the mass doubling time, τ, the T-period, and 3 statistical parameters (h, σ1, σ2) which describe the variability of the cell cycle. The theoretical distributions were compared with observed distributions from E. coli B/rA growing in glucose minimal medium (45 min doubling time) to determine whether a stochastic process in the division pathway affects the time of initiation of constriction or the duration of the constriction process. The results indicate that the stochastic process determines the onset rather than the completion of constriction and that the timing of this process is coupled (6% variability, = σ1) to a given cell mass. The values obtained for the duration of the T-period, T = 9·3 min, and for a half-life parameter associated with the stochastic process, h = 4·3 min, agree with previously reported data.

Financement
  • Swiss National Science Foundation - 3.169.81
Citation (format ISO)
BREMER, Hans. A Stochastic Process Determines the Time at which Cell Division Begins in <i>Escherichia coli</i>. In: Journal of Theoretical Biology, 1986, vol. 118, n° 3, p. 351–365. doi: 10.1016/S0022-5193(86)80066-2
Fichiers principaux (1)
Article (Published version)
accessLevelRestricted
Identifiants
ISSN du journal0022-5193
92vues
0téléchargements

Informations techniques

Création07.05.2021 14:12:00
Première validation07.05.2021 14:12:00
Heure de mise à jour16.03.2023 00:32:47
Changement de statut16.03.2023 00:32:47
Dernière indexation17.01.2024 13:12:06
All rights reserved by Archive ouverte UNIGE and the University of GenevaunigeBlack