Flow Cytometry Combined With Single Cell Sorting to Study Heterogeneous Germination of

Bacillus bacterial spore flow cytometry fluorescence-activated cell sorting germination heterogeneous high pressure inactivation

Journal

Frontiers in microbiology
ISSN: 1664-302X
Titre abrégé: Front Microbiol
Pays: Switzerland
ID NLM: 101548977

Informations de publication

Date de publication:
2019
Historique:
received: 05 11 2019
accepted: 24 12 2019
entrez: 11 2 2020
pubmed: 11 2 2020
medline: 11 2 2020
Statut: epublish

Résumé

Isostatic high pressure (HP) of 150 MPa can trigger the germination of bacterial spores, making them lose their extreme resistance to stress factors, and increasing their susceptibility to milder inactivation strategies. However, germination response of spores within a population is very heterogeneous, and tools are needed to study this heterogeneity. Here, classical methods were combined with more recent and powerful techniques such as flow cytometry (FCM) and fluorescence activated cell sorting (FACS) to investigate spore germination behavior under HP.

Identifiants

pubmed: 32038559
doi: 10.3389/fmicb.2019.03118
pmc: PMC6985370
doi:

Types de publication

Journal Article

Langues

eng

Pagination

3118

Informations de copyright

Copyright © 2020 Zhang, Delbrück, Off, Benke and Mathys.

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Auteurs

Yifan Zhang (Y)

Sustainable Food Processing Laboratory, Institute of Food, Nutrition and Health, Department of Health Science and Technology, ETH Zürich, Zurich, Switzerland.

Alessia I Delbrück (AI)

Sustainable Food Processing Laboratory, Institute of Food, Nutrition and Health, Department of Health Science and Technology, ETH Zürich, Zurich, Switzerland.

Cosima L Off (CL)

Sustainable Food Processing Laboratory, Institute of Food, Nutrition and Health, Department of Health Science and Technology, ETH Zürich, Zurich, Switzerland.

Stephan Benke (S)

Cytometry Facility, University of Zurich, Zurich, Switzerland.

Alexander Mathys (A)

Sustainable Food Processing Laboratory, Institute of Food, Nutrition and Health, Department of Health Science and Technology, ETH Zürich, Zurich, Switzerland.

Classifications MeSH