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dc.contributor.author
Grilli, Jacopo
dc.contributor.author
Cadart, Clotilde
dc.contributor.author
Micali, Gabriele
dc.contributor.author
Osella, Matteo
dc.contributor.author
Lagomarsino, Marco C.
dc.date.accessioned
2018-08-13T14:50:16Z
dc.date.available
2018-08-08T06:19:47Z
dc.date.available
2018-08-13T14:50:16Z
dc.date.issued
2018-07-30
dc.identifier.issn
1664-302X
dc.identifier.other
10.3389/fmicb.2018.01541
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/281183
dc.identifier.doi
10.3929/ethz-b-000281183
dc.description.abstract
In physics, it is customary to represent the fluctuations of a stochastic system at steady state in terms of linear response to small random perturbations. Previous work has shown that the same framework describes effectively the trade-off between cell-to-cell variability and correction in the control of cell division of single E. coli cells. However, previous analyses were motivated by specific models and limited to a subset of the measured variables. For example, most analyses neglected the role of growth rate variability. Here, we take a comprehensive approach and consider several sets of available data from both microcolonies and microfluidic devices in different growth conditions. We evaluate all the coupling coefficients between the three main measured variables (interdivision times, cell sizes and individual-cell growth rates). The linear-response framework correctly predicts consistency relations between a priori independent experimental measurements, which confirms its validity. Additionally, the couplings between the cell-specific growth rate and the other variables are typically non zero. Finally, we use the framework to detect signatures of mechanisms in experimental data involving growth rate fluctuations, finding that (1) noise-generating coupling between size and growth rate is a consequence of inter-generation growth rate correlations and (2) the correlation patterns agree with a near-adder model where the added size has a dependence on the single-cell growth rate. Our findings define relevant constraints that any theoretical description should reproduce, and will help future studies aiming to falsify some of the competing models of the cell cycle existing today in the literature.
en_US
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
Frontiers Research Foundation
en_US
dc.rights.uri
http://creativecommons.org/licenses/by/4.0/
dc.subject
linear response theory
en_US
dc.subject
single-cell growth and division
en_US
dc.subject
fluctuation patterns
en_US
dc.subject
control of cell division models
en_US
dc.subject
theoretical
en_US
dc.subject
data interpretation
en_US
dc.subject
statistical
en_US
dc.title
The Empirical Fluctuation Pattern of E-coli Division Control
en_US
dc.type
Journal Article
dc.rights.license
Creative Commons Attribution 4.0 International
ethz.journal.title
Frontiers in Microbiology
ethz.journal.volume
9
en_US
ethz.journal.abbreviated
Front Microbiol
ethz.pages.start
1541
en_US
ethz.size
10 p.
en_US
ethz.version.deposit
publishedVersion
en_US
ethz.grant
A microscale analysis of the causes and consequences of the spatial arrangement of biological functions in microbial consortia
en_US
ethz.identifier.wos
ethz.publication.place
Lausanne
en_US
ethz.publication.status
published
en_US
ethz.grant.agreementno
169978
ethz.grant.fundername
SNF
ethz.grant.funderDoi
10.13039/501100001711
ethz.grant.program
Projektförderung in Biologie und Medizin (Abteilung III)
ethz.date.deposited
2018-08-08T06:20:11Z
ethz.source
WOS
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2018-08-13T14:50:23Z
ethz.rosetta.lastUpdated
2022-03-28T21:01:13Z
ethz.rosetta.versionExported
true
ethz.COinS
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