Microbial population heterogeneity versus bioreactor heterogeneity: evaluation of Redox Sensor Green as an exogenous metabolic biosensor

Jonathan Baert, Anissa Delepierre, Samuel Telek, Patrick Fickers, Dominique Toye, Anne Delamotte, Alvaro R. Lara, Karim E. Jaén, Guillermo Gosset, Peter Ruhdal Jensen, Frank Delvigne

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Abstract

Microbial heterogeneity in metabolic performances has attracted a lot of attention, considering its potential impact on industrial bioprocesses. However, little is known about the impact of extracellular perturbations (i.e. bioreactor heterogeneity) on cell-to-cell variability in metabolic performances (i.e. microbial population heterogeneity). In this work, we have evaluated the relevance of Redox Sensor Green (RSG) as an exogenous biosensor of metabolic activity at the single cell level. RSG signal is proportional to the activity of the electron transport chain and its signal is strongly affected by metabolic burden, availability of electron final acceptor and side metabolisms (i.e. overflow and mixed acid fermentation). RSG can also be used for the estimation of the impact of scale-down conditions on microbial metabolic robustness. The relationship linking averaged RSG activity and its cell-to-cell variability (noise) has been highlighted but seems unaffected by environmental perturbations.
Original languageEnglish
JournalEngineering in Life Sciences (Online)
Volume16
Issue number7
Pages (from-to)643-651
ISSN1618-2863
DOIs
Publication statusPublished - 2016

Keywords

  • single cell
  • scale-down
  • biological noise
  • flow cytometry
  • phenotypic heterogeneity

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