$$\rightleftharpoonup{xx}$$
$$\longleftharp{xx}$$,
$$\longrightharp{xx}$$,
The budding yeast subphylum contains many important biological and biotechnological models. A common and critical task in yeast research is quantifying the effect of genetic or environmental perturbations, the latter including stress or drug treatments. In industrial fermentation, for example, producers must monitor the viability of yeast cultures to ensure the efficiency and quality of the fermentation process1,2. When studying pathogenic yeast species, measuring their survival after stress or antifungal treatment is critical for understanding the genetic and mechanistic basis for infection-related traits such as antifungal resistance. Measuring survival on catheters and surfaces is also an important task in clinical settings3. These diverse scenarios all call for quantitative approaches that can rapidly and accurately measure the outcome of drug and stress treatments.
Existing methods for achieving the above goal fall into three main categories based on what they measure. The first category measures clonogenicity, or the ability of individual yeast cells to form a single colony following the stress. The representative method in this category is the Colony Forming Unit (CFU) assay. The second category measures vitality, which relies on detecting enzymatic activities in live cells. Examples include chemical probes such as the FUN-1 dye4. The third category of methods measure plasma membrane integrity - an irreversible loss of plasma membrane integrity is considered the "point of no return" for cell death5. Examples of this category include fluorescent dyes such as propidium iodide (PI).
This work presents an optimized LIVE/DEAD assay coupled with flow cytometry to achieve fast and scalable quantification of yeast survival after stress treatment. This membrane permeability-based assay is faster than CFU, taking 15-30 min of staining compared with 24-48 h of incubation for colonies to form. Also, samples stained with a LIVE/DEAD stain can be readily assayed using flow cytometry in addition to microscopy, which measures tens of thousands of cells in a few seconds and can easily process 96-well samples for high-throughput assays. As a result, this assay is rapid, quantitative, and scalable. In this protocol, a two-component LIVE/DEAD stain consisting of SYTO 9 and PI is used to achieve enhanced resolving power. SYTO 9 labels all cells, live or dead, while PI only enters cells with compromised plasma membranes6,7. Therefore, live cells only accumulate SYTO 9 while dead cells accumulate both SYTO 9 and PI. Because PI has a higher affinity than SYTO 9 for nucleic acid, it competitively excludes the latter in the cell8. Also, the two dyes form a Förster Resonance Energy Transfer (FRET) pair, where SYTO 9 emission is absorbed by PI as its excitation. As a result, dead cells exhibit muted green and strong red fluorescence. In contrast, live cells display bright green fluorescence8. This difference enables better differentiation between live and dead cells in the presence of variations in fluorescence intensity within each group.
Since an initial report of its application in yeast in 2004, the use of SYTO 9/PI in yeast studies has been spotty and largely limited to qualitative evaluations using microscopy7,9,10,11,12,13,14,15. A major limitation to its adoption as a quantitative assay for yeast survival is the lack of systematic characterization and comparison with widely used methods such as CFU. This protocol describes a standardized assay including the staining buffer, dye concentration, staining time, and flow cytometry settings, which were found to minimize artifacts and generate reproducible results when applied to C. glabrata and two other yeast species16. Because SYTO 9/PI staining reveals an intermediate "damaged" population of cells that differ from both the live and dead cells in their staining pattern, it can complement CFU by revealing more nuanced information on the effects of stress treatment on yeast cells, potentially enabling new applications.