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在异步生长的酿酒酵母群体中鉴定不同的子代和亲代亚群。

Identification of different daughter and parent subpopulations in an asynchronously growing Saccharomyces cerevisiae population.

作者信息

Porro D, Martegani E, Ranzi B M, Alberghina L

机构信息

Dipartimento di Fisiologia e Biochimica Generali, Università degli Studi di Milano, Italy.

出版信息

Res Microbiol. 1997 Mar-Apr;148(3):205-15. doi: 10.1016/S0923-2508(97)85241-2.

Abstract

Under all growth conditions, a growing Saccharomyces cerevisiae yeast population is extremely heterogeneous, since individual cells differ in their cell size; this is due to their position in the cell division cycle and their genealogical age. To gain insight into the structure of a growing yeast population, we used a recently developed flow cytometric approach which enables, in asynchronously growing S. cerevisiae populations, tagging of both the cell age and the protein content of individual cells. This approach enabled the identification of daughter cells belonging to different cell cycle positions (i.e. newborn, G1, S + G2 + M + G1*, and dividing), thus yielding information about the relative fraction in the whole population, cell size and variability. More limited information could be obtained for the parent subpopulation; however, we were able to identify and characterize the dividing parent cells. The coefficient of variation (CV) of the protein content distribution for the dividing parents (27) was much higher than the CV of dividing daughters (18). Further findings obtained indicated a large overlap between the cell protein content distributions of daughter and parent cells as well as between the protein content of cells of the same subpopulation but belonging to different stages of the cell division cycle. The analysis of these differences enables a better understanding of the complex structure of an asynchronously growing yeast population.

摘要

在所有生长条件下,不断增长的酿酒酵母群体具有极高的异质性,因为单个细胞的大小存在差异;这是由于它们在细胞分裂周期中的位置以及谱系年龄不同所致。为了深入了解不断增长的酵母群体的结构,我们采用了一种最近开发的流式细胞术方法,该方法能够在异步生长的酿酒酵母群体中标记单个细胞的细胞年龄和蛋白质含量。这种方法能够识别属于不同细胞周期位置的子细胞(即新生细胞、G1期、S + G2 + M + G1*期以及正在分裂的细胞),从而得出关于整个群体中相对比例、细胞大小和变异性的信息。对于亲代亚群,能够获得的信息较为有限;然而,我们能够识别并表征正在分裂的亲代细胞。正在分裂的亲代细胞蛋白质含量分布的变异系数(CV)(27)远高于正在分裂的子代细胞的变异系数(18)。进一步的研究结果表明,子代细胞和亲代细胞的细胞蛋白质含量分布之间以及属于同一亚群但处于细胞分裂周期不同阶段的细胞的蛋白质含量之间存在大量重叠。对这些差异的分析有助于更好地理解异步生长的酵母群体的复杂结构。

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