Literature DB >> 31108593

Linking lineage and population observables in biological branching processes.

Reinaldo García-García1, Arthur Genthon1, David Lacoste1.   

Abstract

Using a population dynamics inspired by an ensemble of growing cells, a set of fluctuation theorems linking observables measured at the lineage and population levels is derived. One of these relations implies specific inequalities comparing the population doubling time with the mean generation time at the lineage or population levels. While these inequalities have been derived before for age-controlled models with negligible mother-daughter correlations, we show that they also hold for a broad class of size-controlled models. We discuss the implications of this result for the interpretation of a recent experiment in which the growth of bacteria strains has been probed at the single-cell level.

Mesh:

Year:  2019        PMID: 31108593     DOI: 10.1103/PhysRevE.99.042413

Source DB:  PubMed          Journal:  Phys Rev E        ISSN: 2470-0045            Impact factor:   2.529


  3 in total

1.  Fluctuation relations and fitness landscapes of growing cell populations.

Authors:  Arthur Genthon; David Lacoste
Journal:  Sci Rep       Date:  2020-07-17       Impact factor: 4.379

2.  Cell size distribution of lineage data: analytic results and parameter inference.

Authors:  Chen Jia; Abhyudai Singh; Ramon Grima
Journal:  iScience       Date:  2021-02-24

3.  Efficient computation of stochastic cell-size transient dynamics.

Authors:  Cesar Augusto Nieto-Acuna; Cesar Augusto Vargas-Garcia; Abhyudai Singh; Juan Manuel Pedraza
Journal:  BMC Bioinformatics       Date:  2019-12-27       Impact factor: 3.169

  3 in total

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