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Quantitative Biology

ISSN 2095-4689

ISSN 2095-4697(Online)

CN 10-1028/TM

邮发代号 80-971

Quantitative Biology  2019, Vol. 7 Issue (1): 69-81   https://doi.org/10.1007/s40484-018-0160-7
  本期目录
High-throughput quantification of microbial birth and death dynamics using fluorescence microscopy
Samuel F. M. Hart, David Skelding, Adam J. Waite, Justin C. Burton, Wenying Shou()
Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
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Abstract

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.

Key wordsSaccharomyces cerevisiae    fluorescence microscopy    microbial growth    birth rate    death rate
收稿日期: 2018-06-16      出版日期: 2019-03-22
Corresponding Author(s): Wenying Shou   
 引用本文:   
. [J]. Quantitative Biology, 2019, 7(1): 69-81.
Samuel F. M. Hart, David Skelding, Adam J. Waite, Justin C. Burton, Wenying Shou. High-throughput quantification of microbial birth and death dynamics using fluorescence microscopy. Quant. Biol., 2019, 7(1): 69-81.
 链接本文:  
https://academic.hep.com.cn/qb/CN/10.1007/s40484-018-0160-7
https://academic.hep.com.cn/qb/CN/Y2019/V7/I1/69
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