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细胞密度与细胞计数之间的关系在不同酵母物种中有所不同。

The relationship between cell density and cell count differs among yeast species.

作者信息

Pinto Javier, Tavakolian Nik, Li Chun-Biu, Stelkens Rike

机构信息

Zoology Department, Stockholm University, Stockholm, Sweden.

Department of Mathematics, Stockholm University, Stockholm, Sweden.

出版信息

MicroPubl Biol. 2024 May 23;2024. doi: 10.17912/micropub.biology.001215. eCollection 2024.

Abstract

There is a recent push to develop wild and non-domesticated yeast strains into useful model systems for research in ecology and evolution. Yet, the variation between species and strains in important population parameters remains largely undescribed. Here, we investigated the relationship between two commonly used measures in microbiology to estimate growth rate - cell density and cell count - in 23 strains across all eight species We found that the slope of this relationship significantly differs among species and a given optical density (OD) does not translate into the same number of cells across species. We provide a cell number calculator based on our OD measurements for each strain used in this study. Surprisingly, we found a slightly positive relationship between cell size and the slope of the cell density-cell count relationship. Our results show that the strain- and species-specificity of the cell density and cell count relationship should be taken into account, for instance when running competition experiments requiring equal starting population sizes or when estimating the fitness of strains with different genetic backgrounds in experimental evolution studies.

摘要

最近有一种趋势,即将野生和未驯化的酵母菌株开发成用于生态学和进化研究的有用模型系统。然而,重要种群参数在物种和菌株之间的差异在很大程度上仍未得到描述。在这里,我们研究了微生物学中用于估计生长速率的两个常用指标——细胞密度和细胞计数——在所有八个物种的23个菌株中的关系。我们发现,这种关系的斜率在不同物种之间存在显著差异,并且给定的光密度(OD)在不同物种中并不对应相同数量的细胞。我们基于本研究中使用的每个菌株的OD测量值提供了一个细胞数量计算器。令人惊讶的是,我们发现细胞大小与细胞密度-细胞计数关系的斜率之间存在略微正相关。我们的结果表明,在进行需要相等起始种群大小的竞争实验或在实验进化研究中估计具有不同遗传背景的菌株的适应性时,例如,应考虑细胞密度和细胞计数关系的菌株特异性和物种特异性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4653/11165304/2613e66c9dbc/25789430-2024-micropub.biology.001215.jpg

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