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Flow Cytometry Analysis of Fungal Ploidy.

ABSTRACT: Ploidy, the number of sets of homologous chromosomes in a cell, can alter cellular physiology, gene regulation, and the spectrum of acquired mutations. Advances in single-cell flow cytometry have greatly improved the understanding of how genome size contributes to diverse biological processes including speciation, adaptation, pathogenesis, and tumorigenesis. For example, fungal pathogens can undergo whole genome duplications during infection of the human host and during acquisition of antifungal drug resistance. Quantification of ploidy is dramatically affected by the nucleic acid staining technique and the flow cytometry analysis of single cells. Ploidy in fungi is also impacted by samples that are heterogeneous for both ploidy and morphology, and control strains with known ploidy must be included in every flow cytometry experiment. To detect ploidy changes within fungal strains, the following protocol was developed to accurately and dependably interrogate single-cell ploidy. © 2018 by John Wiley & Sons, Inc.

SUBMITTER: Todd RT

PROVIDER: S-EPMC6105418 | biostudies-literature | 2018 Aug

REPOSITORIES: biostudies-literature

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Flow Cytometry Analysis of Fungal Ploidy.

Todd Robert T RT Braverman Ann L AL Selmecki Anna A

Current protocols in microbiology 20180720 1

Ploidy, the number of sets of homologous chromosomes in a cell, can alter cellular physiology, gene regulation, and the spectrum of acquired mutations. Advances in single-cell flow cytometry have greatly improved the understanding of how genome size contributes to diverse biological processes including speciation, adaptation, pathogenesis, and tumorigenesis. For example, fungal pathogens can undergo whole genome duplications during infection of the human host and during acquisition of antifungal ...[more]

PMID: 30028911

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Project description:BackgroundPersisters and viable but non-culturable (VBNC) cells are two phenotypic variants known to be highly tolerant to antibiotics. Although both cell types are stained as live and often appear as nongrowing during antibiotic treatment, the only distinguishing feature is the ability of persisters to recolonize in standard culture media in the absence of antibiotics. Despite considerable progress in the characterization of persister formation mechanisms, their resuscitation mechanisms remain unclear due to technical limitations in detecting and isolating these cell types in culture environments that are highly heterogeneous.ResultsIn this study, we used a methodology integrating flow cytometry, fluorescent protein expression systems and ampicillin-mediated cell lysing technique to monitor persister resuscitation at the single-cell level. With this method, we were able to investigate the effects of various culture conditions (e.g., antibiotic treatment time, the length of the stationary phase in overnight pre-cultures, or pretreatment of cells with a metabolic inhibitor) on persister resuscitation. Although we observed long-term pre-cultures have many more VBNC cells compared to short-term pre-cultures, only a small fraction of non-lysed cells was able to resuscitate in all conditions tested. Regardless of pre-culturing and ampicillin treatment times, these persister cells started to resuscitate within 1 hour, after they were transferred to fresh liquid media, with the same doubling time that normal cells have. Our analysis further showed that ampicillin was not able to lyse the cells in the presence of arsenate, a metabolic inhibitor commonly used to increase bacterial persistence. However, the removal of arsenate during antibiotic treatment resulted in cell lysis and a reduction in persister levels despite the significant decrease in ATP levels in the cells.ConclusionsThe strategy presented in this study helps us monitor persister resuscitation at the single-cell level, and simultaneously quantify persister, VBNC and dead cell subpopulations in ampicillin-treated cultures. Our results indicate that the characterization of persister resuscitation with flow cytometry will enhance the current molecular-level understanding of persistence and its evolution.

Dataset Information

Flow Cytometry Analysis of Fungal Ploidy.

Publications

Flow Cytometry Analysis of Fungal Ploidy.

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