Diversification of single-cell growth dynamics under starvation influences subsequent reproduction in a clonal bacterial population

Most of the microbes in nature infrequently receive nutrients and are thus in slow- or non-growing states. How quickly they can resume their growth upon an influx of new resources is crucial to occupy environmental niches. Isogenic microbial populations are known to harbor only a fraction of cells with rapid growth resumption, yet little is known about the physiological characteristics of those cells and their emergence in the population. Here, we tracked growth of individual Escherichia coli cells in populations under fluctuating nutrient conditions. We found that shifting from high- to low-nutrient conditions caused stalling of cell growth with few cells continuing to divide extremely slowly, a process which was dependent on lipid turnover. Resuming high-nutrient inflow after low-nutrient conditions resulted in cells resuming growth and division, but with different lag times and leading to varying progeny. The history of cell growth during low-nutrient but not high-nutrient conditions was determinant for resumption of growth, which cellular genealogy analysis suggested to originate from inherited physiological differences. Our results demonstrate that cellular growth dynamics become diverse by nutrient limitations, under which a fraction of cells experienced a particular growth history can reproduce progeny with new resources in the future.

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Publication Details

Journal
The ISME Journal
Published
2024-12-23
DOI
https://doi.org/10.1093/ismejo/wrae257
Citations
1
Primary Topic
Evolution and Genetic Dynamics
Type
article
Field-Weighted Citation Impact
0.55

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article

Diversification of single-cell growth dynamics under starvation influences subsequent reproduction in a clonal bacterial population

Ryo Miyazaki, Miki Umetani, Sotaro Takano, Hidenori Nakaoka
1 citations
The ISME Journal
Evolution and Genetic Dynamics
0.55
article

Diversification of single-cell growth dynamics under starvation influences subsequent reproduction in a clonal bacterial population

Ryo Miyazaki, Miki Umetani, Sotaro Takano, Hidenori Nakaoka
article en
1 citations

Abstract

Most of the microbes in nature infrequently receive nutrients and are thus in slow- or non-growing states. How quickly they can resume their growth upon an influx of new resources is crucial to occupy environmental niches. Isogenic microbial populations are known to harbor only a fraction of cells with rapid growth resumption, yet little is known about the physiological characteristics of those cells and their emergence in the population. Here, we tracked growth of individual Escherichia coli cells in populations under fluctuating nutrient conditions. We found that shifting from high- to low-nutrient conditions caused stalling of cell growth with few cells continuing to divide extremely slowly, a process which was dependent on lipid turnover. Resuming high-nutrient inflow after low-nutrient conditions resulted in cells resuming growth and division, but with different lag times and leading to varying progeny. The history of cell growth during low-nutrient but not high-nutrient conditions was determinant for resumption of growth, which cellular genealogy analysis suggested to originate from inherited physiological differences. Our results demonstrate that cellular growth dynamics become diverse by nutrient limitations, under which a fraction of cells experienced a particular growth history can reproduce progeny with new resources in the future.

The ISME JournalVol. 19(1)
University of Tsukuba (JP), Tokyo University of the Arts (JP), The Open University of Japan (JP), RIKEN BioResource Research Center (JP), Systems Biology Institute (JP), National Institute of Advanced Industrial Science and Technology (JP), The University of Tokyo (JP), Tokushima University (JP)
Wakamoto Pharmaceutical, Japan Society for the Promotion of Science, Japan Science and Technology Agency, Exploratory Research for Advanced Technology
Life in Land
Openalex Percentile: Top 23%
Evolution and Genetic Dynamics
0.55
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