From single-cell variability to population growth.


Journal

Physical review. E
ISSN: 2470-0053
Titre abrégé: Phys Rev E
Pays: United States
ID NLM: 101676019

Informations de publication

Date de publication:
Jan 2020
Historique:
received: 18 06 2018
entrez: 20 2 2020
pubmed: 20 2 2020
medline: 29 12 2020
Statut: ppublish

Résumé

Single-cell experiments have revealed cell-to-cell variability in generation times and growth rates for genetically identical cells. Theoretical models relating the fluctuating generation times of single cells to the population growth rate are usually based on the assumption that the generation times of mother and daughter cells are uncorrelated. This assumption, however, is inconsistent with the exponential growth of cell volume in time observed for many cell types. Here we develop a more general and biologically relevant model in which cells grow exponentially and generation times are correlated in a manner which controls cell size. In addition to the fluctuating generation times, we also allow the single-cell growth rates to fluctuate and account for their correlations across the lineage tree. Surprisingly, we find that the population growth rate only depends on the distribution of single-cell growth rates and their correlations.

Identifiants

pubmed: 32069565
doi: 10.1103/PhysRevE.101.012401
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

012401

Auteurs

Jie Lin (J)

Harvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts 02138, USA.

Ariel Amir (A)

Harvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts 02138, USA.

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Classifications MeSH