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dc.contributor.author
Nikolic, Nela
dc.contributor.author
Schreiber, Frank
dc.contributor.author
Dal Co, Alma
dc.contributor.author
Kiviet, Daniel J.
dc.contributor.author
Bergmiller, Tobias
dc.contributor.author
Littmann, Sten
dc.contributor.author
Kuypers, Marcel M.M.
dc.contributor.author
Ackermann, Martin
dc.date.accessioned
2018-01-19T16:08:35Z
dc.date.available
2018-01-19T16:07:36Z
dc.date.available
2018-01-19T16:08:35Z
dc.date.available
2018-01-13T03:57:47Z
dc.date.available
2018-01-15T13:29:52Z
dc.date.issued
2017
dc.identifier.issn
1553-7390
dc.identifier.issn
1553-7404
dc.identifier.other
10.1371/journal.pgen.1007122
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/231914
dc.identifier.doi
10.3929/ethz-b-000228321
dc.description.abstract
While we have good understanding of bacterial metabolism at the population level, we know little about the metabolic behavior of individual cells: do single cells in clonal populations sometimes specialize on different metabolic pathways? Such metabolic specialization could be driven by stochastic gene expression and could provide individual cells with growth benefits of specialization. We measured the degree of phenotypic specialization in two parallel metabolic pathways, the assimilation of glucose and arabinose. We grew Escherichia coli in chemostats, and used isotope-labeled sugars in combination with nanometer-scale secondary ion mass spectrometry and mathematical modeling to quantify sugar assimilation at the single-cell level. We found large variation in metabolic activities between single cells, both in absolute assimilation and in the degree to which individual cells specialize in the assimilation of different sugars. Analysis of transcriptional reporters indicated that this variation was at least partially based on cell-to-cell variation in gene expression. Metabolic differences between cells in clonal populations could potentially reduce metabolic incompatibilities between different pathways, and increase the rate at which parallel reactions can be performed.
en_US
dc.language.iso
en
en_US
dc.publisher
Public Library of Science
en_US
dc.title
Cell-to-cell variation and specialization in sugar metabolism in clonal bacterial populations
en_US
dc.type
Journal Article
dc.rights.license
Creative Commons Attribution 4.0 International
dc.date.published
2017-12-18
ethz.journal.title
PLoS Genetics
ethz.journal.volume
13
en_US
ethz.journal.issue
12
en_US
ethz.journal.abbreviated
PLoS Genet
ethz.pages.start
e1007122
en_US
ethz.size
24 p.
en_US
ethz.version.deposit
publishedVersion
en_US
ethz.identifier.scopus
ethz.publication.place
San Francicsco, CA
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02350 - Dep. Umweltsystemwissenschaften / Dep. of Environmental Systems Science::02721 - Inst. f. Biogeochemie u. Schadstoffdyn. / Inst. Biogeochem. and Pollutant Dynamics::03743 - Ackermann, Martin / Ackermann, Martin
en_US
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02350 - Dep. Umweltsystemwissenschaften / Dep. of Environmental Systems Science::02721 - Inst. f. Biogeochemie u. Schadstoffdyn. / Inst. Biogeochem. and Pollutant Dynamics::03743 - Ackermann, Martin / Ackermann, Martin
en_US
ethz.date.deposited
2018-01-13T03:57:48Z
ethz.source
SCOPUS
ethz.source
FORM
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2018-01-22T07:16:45Z
ethz.rosetta.lastUpdated
2018-11-06T07:09:43Z
ethz.rosetta.versionExported
true
dc.identifier.olduri
http://hdl.handle.net/20.500.11850/228321
dc.identifier.olduri
http://hdl.handle.net/20.500.11850/228730
ethz.COinS
ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.atitle=Cell-to-cell%20variation%20and%20specialization%20in%20sugar%20metabolism%20in%20clonal%20bacterial%20populations&rft.jtitle=PLoS%20Genetics&rft.date=2017&rft.volume=13&rft.issue=12&rft.spage=e1007122&rft.issn=1553-7390&1553-7404&rft.au=Nikolic,%20Nela&Schreiber,%20Frank&Dal%20Co,%20Alma&Kiviet,%20Daniel%20J.&Bergmiller,%20Tobias&rft.genre=article&
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