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Real-time monitoring of the budding index in Saccharomyces cerevisiae batch cultivations with in situ microscopy
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 repre...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5952372/ https://www.ncbi.nlm.nih.gov/pubmed/29764434 http://dx.doi.org/10.1186/s12934-018-0922-y |
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author | Marbà-Ardébol, Anna-Maria Emmerich, Jörn Muthig, Michael Neubauer, Peter Junne, Stefan |
author_facet | Marbà-Ardébol, Anna-Maria Emmerich, Jörn Muthig, Michael Neubauer, Peter Junne, Stefan |
author_sort | Marbà-Ardébol, Anna-Maria |
collection | PubMed |
description | 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. [Image: see text] ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12934-018-0922-y) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5952372 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-59523722018-05-21 Real-time monitoring of the budding index in Saccharomyces cerevisiae batch cultivations with in situ microscopy Marbà-Ardébol, Anna-Maria Emmerich, Jörn Muthig, Michael Neubauer, Peter Junne, Stefan Microb Cell Fact Research 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. [Image: see text] ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12934-018-0922-y) contains supplementary material, which is available to authorized users. BioMed Central 2018-05-15 /pmc/articles/PMC5952372/ /pubmed/29764434 http://dx.doi.org/10.1186/s12934-018-0922-y Text en © The Author(s) 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Marbà-Ardébol, Anna-Maria Emmerich, Jörn Muthig, Michael Neubauer, Peter Junne, Stefan Real-time monitoring of the budding index in Saccharomyces cerevisiae batch cultivations with in situ microscopy |
title | Real-time monitoring of the budding index in Saccharomyces cerevisiae batch cultivations with in situ microscopy |
title_full | Real-time monitoring of the budding index in Saccharomyces cerevisiae batch cultivations with in situ microscopy |
title_fullStr | Real-time monitoring of the budding index in Saccharomyces cerevisiae batch cultivations with in situ microscopy |
title_full_unstemmed | Real-time monitoring of the budding index in Saccharomyces cerevisiae batch cultivations with in situ microscopy |
title_short | Real-time monitoring of the budding index in Saccharomyces cerevisiae batch cultivations with in situ microscopy |
title_sort | real-time monitoring of the budding index in saccharomyces cerevisiae batch cultivations with in situ microscopy |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5952372/ https://www.ncbi.nlm.nih.gov/pubmed/29764434 http://dx.doi.org/10.1186/s12934-018-0922-y |
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