The use of flow cytometry and small-scale brewing in protoplast fusion: Exclusion of undesired phenotypes in yeasts

Urano, Naoto; Nomura, Masahiro; Sahara, Hirohisa; Koshino, Shohei

doi:10.1016/0141-0229(94)90057-4

Cited by 10 publications

(4 citation statements)

References 15 publications

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“…The DNA content of yeast cells provides information about the cell cycle and is thus a powerful tool to assess the effects of propagation parameters on the yeast cell cycle and yeast physiology. FCM assays were developed for assessing the physiological status of the yeast cells during fermentation process [24,25]), for determination of yeast viability and cell number in a brewery [26][27][28][29][30][31][32], predictions of flocculation ability of brewer yeasts, separation of the prototroph yeast fusants [33], assessment of Saccharomyces cerevisiae vitality [34,35,36], detection of spoilage microorganisms [24,37], the influence of beer process conditions on beer stability [38], identification of haploid strains of industrial brewer's yeast, fermentation process control [20,39,40]. The use of FCM for age assessment of a yeast population and its application in beer fermentation was reviewed in the publication [41].…”

Section: Brewingmentioning

confidence: 99%

Updates on the applications of flow cytometry in microbiology

2019

Lett Appl NanoBioSci

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Flow cytometry (FCM) was first developed for medical and clinical applications such as hematology and oncology. Although these areas still account for the vast majority of publications on this technique, during the past few years it has been also introduced in other areas, such as optimization and monitoring of biotechnological and environmental processes, pharmacology, toxicology, bacteriology and virology. In the food and drinks industries, the time required for conventional microbiology tests can lead to substantial delays in product release to the market. FCM has been used in conjunction with viability markers for rapid counting of yeast, molds and bacterial cells, including foodborne pathogens and microbial contaminants, in food products as well as for monitoring and improving the final products quality. FCM is an excellent tool, still unexplored in clinical microbiology, allowing for detection of cellular and non-cellular components in different clinical specimens, the study of antimicrobial activity, allowing for rapid and direct antimicrobial susceptibility testing and for the investigation of resistance mechanisms. Recent FCM developments important for addressing questions in environmental microbiology include the study of microbial physiology under environmentally relevant conditions, the development of new methods to identify active microbial populations and to isolate previously uncultured microorganisms and of high-throughput autofluorescence bioreporter assays. Moreover, the technological advancements will make possible the miniaturisation and automation of FCM devices, allowing to revolutionize their applications in the near future. The purpose of this minireview is to update the current applications of FCM in different fields of applied microbiology, and to highlight the main advantages and pitfalls for each of them.

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Section: Brewingmentioning

confidence: 99%

Updates on the applications of flow cytometry in microbiology

2019

Lett Appl NanoBioSci

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“…High electric fields can induce cell membrane breakdown and cell death, and such an electroporation approach can also be used to kill unwanted cells as they pass through a flow cytometer (56). Similarly, flow cytometric and sorting procedures can be of great value in the detection of the heterogeneous, electroporation-mediated uptake of molecules into cells (93,97,126,353,779,780,798) and the assay of electrofusion products (57,454,956,957).…”

Section: Cell Sorting and The Isolation Of High-yielding Strains For mentioning

confidence: 99%

Flow cytometry and cell sorting of heterogeneous microbial populations: the importance of single-cell analyses.

Davey

Kell

1996

Microbiological Reviews

556

297

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“…Those applications are typically characterized by a relatively small and bounded number of particle types (categories) that also can be made highly distinctive with regard to their flow cytometric signatures through the use of fluorescently labeled markers. However, AFC also is used for determining the microbial composition of samples from industrial processes (e.g., [3][4][5] or the natural environment, e.g., in the identification of phytoplankton populations and monitoring of population dynamics (e.g., 6 -9). Such applications are generally more challenging for data analysis: there may be a very large (in some cases open-ended) number of potential categories from which the particles can be drawn, the degree of potential variability of flow cytometric signatures within categories might be large, and the distributions of different categories might overlap considerably.…”

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confidence: 99%