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High-throughput quantification of microbial birth and death dynamics using fluorescence microscopy

机译:使用荧光显微镜对微生物的生死动态进行高通量定量

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Background: Microbes live in dynamic environments where nutrient concentrations fluctuate. Quantifying fitness in terms of birth rate and death rate in a wide range of environments is critical for understanding microbial evolution and ecology. Methods: Here, using high-throughput time-lapse microscopy, we have quantified how Saccharomyces cerevisiae mutants incapable of synthesizing an essential metabolite (auxotrophs) grow or die in various concentrations of the required metabolite. We establish that cells normally expressing fluorescent proteins lose fluorescence upon death and that the total fluorescence in an imaging frame is proportional to the number of live cells even when cells form multiple layers. We validate our microscopy approach of measuring birth and death rates using flow cytometry, cell counting, and chemostat culturing. Results: For lysine-requiring cells, very low concentrations of lysine are not detectably consumed and do not support cell birth, but delay the onset of death phase and reduce the death rate compared to no lysine. In contrast, in low hypoxanthine, hypoxanthine-requiring cells can produce new cells, yet also die faster than in the absence of hypoxanthine. For both strains, birth rates under various metabolite concentrations are better described by the sigmoidal-shaped Moser model than the well-known Monod model, while death rates can vary with metabolite concentration and time. Conclusions: Our work reveals how time-lapse microscopy can be used to discover non-intuitive microbial birth and death dynamics and to quantify growth rates in many environments.
机译:背景:微生物生活在营养物浓度波动的动态环境中。在广泛的环境中根据出生率和死亡率量化适应度对于理解微生物的进化和生态学至关重要。方法:在这里,使用高通量延时显微镜,我们定量了无法合成必需代谢产物(营养缺陷型)的酿酒酵母突变体在各种浓度的所需代谢产物中如何生长或死亡。我们确定正常表达荧光蛋白的细胞在死亡时会丢失荧光,并且即使在细胞形成多层时,成像框架中的总荧光也与活细胞的数量成正比。我们验证了使用流式细胞仪,细胞计数和化学恒温培养法测量出生率和死亡率的显微镜方法。结果:对于需要赖氨酸的细胞,无法检测到非常低浓度的赖氨酸,并且不支持细胞的出生,但与没有赖氨酸的细胞相比,它延迟了死亡阶段的发作并降低了死亡率。相反,在低次黄嘌呤中,需要次黄嘌呤的细胞可以产生新细胞,而且比不存在次黄嘌呤的细胞死亡更快。对于两种菌株,与已知的Monod模型相比,通过S型Moser模型可以更好地描述各种代谢物浓度下的出生率,而死亡率随代谢物浓度和时间而变化。结论:我们的工作揭示了延时显微镜如何用于发现非直观的微生物出生和死亡动态以及量化许多环境中的增长率。

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