Literature DB >> 15607238

Monitoring population dynamics of the thermophilic Bacillus licheniformis CCMI 1034 in batch and continuous cultures using multi-parameter flow cytometry.

Alberto Reis1, Teresa Lopes da Silva, Christopher A Kent, Maria Kosseva, J Carlos Roseiro, Christopher J Hewitt.   

Abstract

Multi-parameter flow cytometry was used to monitor the population dynamics of Bacillus licheniformis continuous cultivations and the physiological responses to a starvation period and a glucose pulse. Using a mixture of two specific fluorescent stains, DiOC6(3) (3,3'-dihexylocarbocyanine iodide), and PI (propidium iodide), flow cytometric analysis revealed cell physiological heterogeneity. Four sub-populations of cells could be easily identified based on their differential fluorescent staining, these correspond to healthy cells (A) stained with DiOC6(3); cells or spores with a depolarised cytoplasmic membrane (B), no staining; cells with a permeabilised depolarised cytoplasmic membrane (C), stained with PI; and permeablised cells with a disrupted cytoplasmic membrane 'ghost cells' (D), stained with both DiOC6(3) and PI. Transmission electron micrographs of cells starved of energy showed different cell lysis process stages, highlighting 'ghost cells' which were associated with the double stained sub-population. It was shown, at the individual cell level, that there was a progressive inherent fluctuation in physiological heterogeneity in response to changing environmental conditions. All four sub-populations were shown to be present during glucose-limited continuous cultures, revealing a higher physiological stress level when compared with a glucose pulsed batch. A starvation period (batch without additional nutrients) increased the number of cells in certain sub-populations (cells with depolarised cytoplasmic membranes and cells with permeabilised depolarised cytoplasmic membranes), indicating that such stress may be caused by glucose limitation. Such information could be used to enhance process efficiency.

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Year:  2005        PMID: 15607238     DOI: 10.1016/j.jbiotec.2004.08.005

Source DB:  PubMed          Journal:  J Biotechnol        ISSN: 0168-1656            Impact factor:   3.307


  9 in total

1.  Use of flow cytometry to follow the physiological states of microorganisms in cider fermentation processes.

Authors:  Mónica Herrero; Covadonga Quirós; Luis A García; Mario Díaz
Journal:  Appl Environ Microbiol       Date:  2006-10       Impact factor: 4.792

2.  Monitoring growth phase-related changes in phosphatidylcholine-specific phospholipase C production, adhesion properties and physiology of Bacillus cereus vegetative cells.

Authors:  Ultan P Cronin; Martin G Wilkinson
Journal:  J Ind Microbiol Biotechnol       Date:  2008-08-23       Impact factor: 3.346

3.  The use of a simple flow cytometry method for rapid detection of spores in probiotic Bacillus licheniformis-containing tablets.

Authors:  Xiao-Ling Zheng; Zhi-Qiang Xiong; Jie-Qun Wu
Journal:  Food Sci Biotechnol       Date:  2017-02-28       Impact factor: 2.391

4.  Fermentation profile of Saccharomyces cerevisiae and Candida tropicalis as starter cultures on barley malt medium.

Authors:  Wazé Aimée Mireille Alloue-Boraud; Kouadio Florent N'Guessan; N'Dédé Théodore Djeni; Serge Hiligsmann; Koffi Marcellin Djè; Franck Delvigne
Journal:  J Food Sci Technol       Date:  2014-08-31       Impact factor: 2.701

5.  Physiologic and metabolic characterization of a new marine isolate (BM39) of Pantoea sp. producing high levels of exopolysaccharide.

Authors:  Silvia Silvi; Paolo Barghini; Arianna Aquilanti; Belen Juarez-Jimenez; Massimiliano Fenice
Journal:  Microb Cell Fact       Date:  2013-01-29       Impact factor: 5.328

6.  Single cell analysis applied to antibody fragment production with Bacillus megaterium: development of advanced physiology and bioprocess state estimation tools.

Authors:  Florian David; Antje Berger; Robert Hänsch; Manfred Rohde; Ezequiel Franco-Lara
Journal:  Microb Cell Fact       Date:  2011-04-15       Impact factor: 5.328

7.  Feedbacks between protistan single-cell activity and bacterial physiological structure reinforce the predator/prey link in microbial foodwebs.

Authors:  Eva Sintes; Paul A Del Giorgio
Journal:  Front Microbiol       Date:  2014-09-05       Impact factor: 5.640

Review 8.  Applications of flow cytometry to characterize bacterial physiological responses.

Authors:  Verónica Ambriz-Aviña; Jorge A Contreras-Garduño; Mario Pedraza-Reyes
Journal:  Biomed Res Int       Date:  2014-09-09       Impact factor: 3.411

9.  Investigation of poly(γ-glutamic acid) production via online determination of viscosity and oxygen transfer rate in shake flasks.

Authors:  Lena Regestein Née Meissner; Julia Arndt; Thomas G Palmen; Tim Jestel; Hitoshi Mitsunaga; Eiichiro Fukusaki; Jochen Büchs
Journal:  J Biol Eng       Date:  2017-07-12       Impact factor: 4.355

  9 in total

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