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Quantitative flow cytometry to understand population heterogeneity in response to changes in substrate availability in escherichia coli and saccharomyces cerevisiae chemostats

Heins, Anna Lena (author)
Technical University of Munich,Technical University of Denmark
Johanson, Ted (author)
Glycom A/S
Han, Shanshan (author)
University of Copenhagen
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Lundin, Luisa (author)
University of Copenhagen
Carlquist, Magnus (author)
Lund University,Lunds universitet,Teknisk mikrobiologi,Centrum för tillämpade biovetenskaper,Kemiska institutionen,Institutioner vid LTH,Lunds Tekniska Högskola,Applied Microbiology,Center for Applied Life Sciences,Department of Chemistry,Departments at LTH,Faculty of Engineering, LTH
Gernaey, Krist V. (author)
Technical University of Denmark
Sørensen, Søren J. (author)
University of Copenhagen
Lantz, Anna Eliasson (author)
Technical University of Denmark
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 (creator_code:org_t)
2019-08-05
2019
English.
In: Frontiers in Bioengineering and Biotechnology. - : Frontiers Media SA. - 2296-4185. ; 7:AUG
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • Microbial cells in bioprocesses are usually described with averaged parameters. But in fact, single cells within populations vary greatly in characteristics such as stress resistance, especially in response to carbon source gradients. Our aim was to introduce tools to quantify population heterogeneity in bioprocesses using a combination of reporter strains, flow cytometry, and easily comprehensible parameters. We calculated mean, mode, peak width, and coefficient of variance to describe distribution characteristics and temporal shifts in fluorescence intensity. The skewness and the slope of cumulative distribution function plots illustrated differences in distribution shape. These parameters are person-independent and precise. We demonstrated this by quantifying growth-related population heterogeneity of Saccharomyces cerevisiae and Escherichia coli reporter strains in steady-state of aerobic glucose-limited chemostat cultures at different dilution rates and in response to glucose pulses. Generally, slow-growing cells showed stronger responses to glucose excess than fast-growing cells. Cell robustness, measured as membrane integrity after exposure to freeze-thaw treatment, of fast-growing cells was strongly affected in subpopulations of low membrane robustness. Glucose pulses protected subpopulations of fast-growing but not slower-growing yeast cells against membrane damage. Our parameters could successfully describe population heterogeneity, thereby revealing physiological characteristics that might have been overlooked during traditional averaged analysis.

Subject headings

NATURVETENSKAP  -- Biologi -- Cellbiologi (hsv//swe)
NATURAL SCIENCES  -- Biological Sciences -- Cell Biology (hsv//eng)

Keyword

Flow cytometry
Glucose pulse
Membrane robustness
Population heterogeneity
Quantitative flow cytometry
Reporter strain

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art (subject category)
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