Department of Agri-Food Engineering and Biotechnology, Universitat Politècnica de Catalunya, Barcelona, Spain.
FEMS Yeast Res. 2011 Feb;11(1):18-28. doi: 10.1111/j.1567-1364.2010.00682.x. Epub 2010 Oct 12.
Data from electric particle analysis, light diffraction and flow cytometry analysis provide information on changes in cell morphology. Here, we report analyses of Saccharomyces cerevisiae populations growing in a batch culture using these techniques. The size distributions were determined by electric particle analysis and by light diffraction in order to compare their outcomes. Flow cytometry parameters forward (related to cell size) and side (related to cell granularity) scatter were also determined to complement this information. These distributions of yeast properties were analysed statistically and by a complexity index. The cell size of Saccharomyces at the lag phase was smaller than that at the beginning of the exponential phase, whereas during the stationary phase, the cell size converged with the values observed during the lag phase. These experimental techniques, when used together, allow us to distinguish among and characterize the cell size, cell granularity and the structure of the yeast population through the three growth phases. Flow cytometry patterns are better than light diffraction and electric particle analysis in showing the existence of subpopulations during the different phases, especially during the stationary phase. The use of a complexity index in this context helped to differentiate these phases and confirmed the yeast cell heterogeneity.
电粒子分析、光衍射和流式细胞分析的数据提供了关于细胞形态变化的信息。在这里，我们报告了使用这些技术对在分批培养中生长的酿酒酵母种群的分析。通过电粒子分析和光衍射确定了大小分布，以便比较它们的结果。还确定了流式细胞术参数前向（与细胞大小有关）和侧向（与细胞粒度有关）散射，以补充这些信息。对酵母特性的这些分布进行了统计学和复杂性指数分析。在停滞期，酿酒酵母的细胞大小小于指数期开始时的细胞大小，而在静止期，细胞大小与停滞期观察到的值收敛。这些实验技术一起使用，可以通过三个生长阶段来区分和描述细胞大小、细胞粒度和酵母种群的结构。在显示不同阶段，特别是静止阶段的亚群时，流式细胞术模式优于光衍射和电粒子分析。在这种情况下使用复杂性指数有助于区分这些阶段，并证实了酵母细胞的异质性。
