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Cell-to-cell variation and specialization in sugar metabolism in clonal bacterial populations

  • 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 thisWhile 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.zeige mehrzeige weniger

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Metadaten
Autoren/innen:Nela Nikolic, Alma Dal Co, Daniel J. Kiviet, Tobias Bergmiller, Sten Littmann, Marcel M. M. Kuypers, Martin Ackermann, Frank Schreiber
Dokumenttyp:Zeitschriftenartikel
Veröffentlichungsform:Verlagsliteratur
Sprache:Englisch
Titel des übergeordneten Werkes (Englisch):PLoS Genetics
Jahr der Erstveröffentlichung:2017
Organisationseinheit der BAM:4 Material und Umwelt
4 Material und Umwelt / 4.1 Biologische Materialschädigung und Referenzorganismen
Veröffentlichende Institution:Bundesanstalt für Materialforschung und -prüfung (BAM)
Verlag:Public Library of Science
Verlagsort:Cambridge, United Kingdom
Jahrgang/Band:13
Ausgabe/Heft:12
Erste Seite:e1007122, 1
Letzte Seite:e1007122, 24
DDC-Klassifikation:Technik, Medizin, angewandte Wissenschaften / Ingenieurwissenschaften / Sanitär- und Kommunaltechnik; Umwelttechnik
Freie Schlagwörter:Escherichia coli; Metabolism; Phenotypic diversity; Phenotypic heterogeneity
Themenfelder/Aktivitätsfelder der BAM:Umwelt
Umwelt / Umweltverhalten von Materialien und Produkten
DOI:https://doi.org/10.1371/journal.pgen.1007122
URN:urn:nbn:de:kobv:b43-438873
URL:http://journals.plos.org/plosgenetics/article?id=10.1371/journal.pgen.1007122
URL:http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=CCC&DestLinkType=FullRecord;KeyUT=CCC:000419103000015
ISSN:1553-7404
Verfügbarkeit des Dokuments:Datei für die Öffentlichkeit verfügbar ("Open Access")
Lizenz (Deutsch):License LogoCreative Commons - CC BY - Namensnennung 4.0 International
Datum der Freischaltung:23.01.2018
Referierte Publikation:Ja
Datum der Eintragung als referierte Publikation:23.01.2018
Schriftenreihen ohne Nummerierung:Wissenschaftliche Artikel der BAM