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dc.contributor.author
Scott, Matthew
dc.contributor.author
Klumpp, Stefan
dc.contributor.author
Mateescu, Eduard M.
dc.contributor.author
Hwa, Terence
dc.date.accessioned
2018-06-07T15:31:05Z
dc.date.available
2017-06-11T12:44:20Z
dc.date.available
2018-06-07T15:31:05Z
dc.date.issued
2014-08
dc.identifier.issn
1744-4292
dc.identifier.other
10.15252/msb.20145379
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/90015
dc.identifier.doi
10.3929/ethz-b-000090015
dc.description.abstract
Bacteria must constantly adapt their growth to changes in nutrient availability; yet despite large‐scale changes in protein expression associated with sensing, adaptation, and processing different environmental nutrients, simple growth laws connect the ribosome abundance and the growth rate. Here, we investigate the origin of these growth laws by analyzing the features of ribosomal regulation that coordinate proteome‐wide expression changes with cell growth in a variety of nutrient conditions in the model organism Escherichia coli. We identify supply‐driven feedforward activation of ribosomal protein synthesis as the key regulatory motif maximizing amino acid flux, and autonomously guiding a cell to achieve optimal growth in different environments. The growth laws emerge naturally from the robust regulatory strategy underlying growth rate control, irrespective of the details of the molecular implementation. The study highlights the interplay between phenomenological modeling and molecular mechanisms in uncovering fundamental operating constraints, with implications for endogenous and synthetic design of microorganisms.
en_US
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
Nature
dc.rights.uri
http://creativecommons.org/licenses/by/4.0/
dc.subject
Growth control
en_US
dc.subject
Metabolic control
en_US
dc.subject
Phenomenological model
en_US
dc.subject
Resource allocation
en_US
dc.subject
Synthetic biology
en_US
dc.title
Emergence of robust growth laws from optimal regulation of ribosome synthesis
en_US
dc.type
Journal Article
dc.rights.license
Creative Commons Attribution 4.0 International
dc.date.published
2014-08-22
ethz.journal.title
Molecular Systems Biology
ethz.journal.volume
10
en_US
ethz.journal.issue
8
en_US
ethz.journal.abbreviated
Mol Syst Biol
ethz.pages.start
747
en_US
ethz.size
15 p.
en_US
ethz.version.deposit
publishedVersion
en_US
ethz.identifier.wos
ethz.publication.place
London
ethz.publication.status
published
en_US
ethz.date.deposited
2017-06-11T12:44:28Z
ethz.source
ECIT
ethz.identifier.importid
imp5936525ab821770196
ethz.ecitpid
pub:141742
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2017-07-25T10:15:03Z
ethz.rosetta.lastUpdated
2024-02-02T05:01:35Z
ethz.rosetta.versionExported
true
ethz.COinS
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