Please use this identifier to cite or link to this item: http://dx.doi.org/10.14279/depositonce-7178
Main Title: Real-time monitoring of the budding index in Saccharomyces cerevisiae batch cultivations with in situ microscopy
Author(s): Marbà-Ardébol, Anna-Maria
Emmerich, Jörn
Muthig, Michael
Neubauer, Peter
Junne, Stefan
Type: Article
Language Code: en
Abstract: Background The morphology of yeast cells changes during budding, depending on the growth rate and cultivation conditions. A photo-optical microscope was adapted and used to observe such morphological changes of individual cells directly in the cell suspension. In order to obtain statistically representative samples of the population without the influence of sampling, in situ microscopy (ISM) was applied in the different phases of a Saccharomyces cerevisiae batch cultivation. The real-time measurement was performed by coupling a photo-optical probe to an automated image analysis based on a neural network approach. Results Automatic cell recognition and classification of budding and non-budding cells was conducted successfully. Deviations between automated and manual counting were considerably low. A differentiation of growth activity across all process stages of a batch cultivation in complex media became feasible. An increased homogeneity among the population during the growth phase was well observable. At growth retardation, the portion of smaller cells increased due to a reduced bud formation. The maturation state of the cells was monitored by determining the budding index as a ratio between the number of cells, which were detected with buds and the total number of cells. A linear correlation between the budding index as monitored with ISM and the growth rate was found. Conclusion It is shown that ISM is a meaningful analytical tool, as the budding index can provide valuable information about the growth activity of a yeast cell, e.g. in seed breeding or during any other cultivation process. The determination of the single-cell size and shape distributions provided information on the morphological heterogeneity among the populations. The ability to track changes in cell morphology directly on line enables new perspectives for monitoring and control, both in process development and on a production scale.
URI: https://depositonce.tu-berlin.de//handle/11303/8015
http://dx.doi.org/10.14279/depositonce-7178
Issue Date: 15-May-2018
Date Available: 13-Jul-2018
DDC Class: 610 Medizin und Gesundheit
570 Biowissenschaften; Biologie
Subject(s): in situ microscopy
Saccharomyces cerevisiae
image detection
budding index
monitoring
cell size
morphology
growth activity
Sponsor/Funder: DFG, TH 662/19-1, Open Access Publizieren 2017 - 2018 / Technische Universität Berlin
License: https://creativecommons.org/licenses/by/4.0/
Journal Title: Microbial Cell Factories
Publisher: Biomed Central
Publisher Place: London
Volume: 17
Issue: 73
Publisher DOI: 10.1186/s12934-018-0922-y
Page Start: 1
Page End: 12
ISSN: 1475-2859
Appears in Collections:FG Bioverfahrenstechnik » Publications

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