Literature DB >> 29335635

The emergence of metabolic heterogeneity and diverse growth responses in isogenic bacterial cells.

Emrah Şimşek1, Minsu Kim2,3.   

Abstract

Microorganisms adapt to frequent environmental changes through population diversification. Previous studies demonstrated phenotypic diversity in a clonal population and its important effects on microbial ecology. However, the dynamic changes of phenotypic composition have rarely been characterized. Also, cellular variations and environmental factors responsible for phenotypic diversity remain poorly understood. Here, we studied phenotypic diversity driven by metabolic heterogeneity. We characterized metabolic activities and growth kinetics of starved Escherichia coli cells subject to nutrient upshift at single-cell resolution. We observed three subpopulations with distinct metabolic activities and growth phenotypes. One subpopulation was metabolically active and immediately grew upon nutrient upshift. One subpopulation was metabolically inactive and non-viable. The other subpopulation was metabolically partially active, and did not grow upon nutrient upshift. The ratio of these subpopulations changed dynamically during starvation. A long-term observation of cells with partial metabolic activities indicated that their metabolism was later spontaneously restored, leading to growth recovery. Further investigations showed that oxidative stress can induce the emergence of a subpopulation with partial metabolic activities. Our findings reveal the emergence of metabolic heterogeneity and associated dynamic changes in phenotypic composition. In addition, the results shed new light on microbial dormancy, which has important implications in microbial ecology and biomedicine.

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Year:  2018        PMID: 29335635      PMCID: PMC5932066          DOI: 10.1038/s41396-017-0036-2

Source DB:  PubMed          Journal:  ISME J        ISSN: 1751-7362            Impact factor:   10.302


  75 in total

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2.  Dormancy contributes to the maintenance of microbial diversity.

Authors:  Stuart E Jones; Jay T Lennon
Journal:  Proc Natl Acad Sci U S A       Date:  2010-03-15       Impact factor: 11.205

3.  Bacterial senescence: stasis results in increased and differential oxidation of cytoplasmic proteins leading to developmental induction of the heat shock regulon.

Authors:  S Dukan; T Nyström
Journal:  Genes Dev       Date:  1998-11-01       Impact factor: 11.361

4.  Microbial individuality in the natural environment.

Authors:  M Ackermann
Journal:  ISME J       Date:  2012-11-22       Impact factor: 10.302

5.  Single-cell mass spectrometry reveals the importance of genetic diversity and plasticity for phenotypic variation in nitrogen-limited Chlamydomonas.

Authors:  Jasmin Krismer; Manu Tamminen; Simone Fontana; Renato Zenobi; Anita Narwani
Journal:  ISME J       Date:  2016-12-09       Impact factor: 10.302

Review 6.  Nonculturable bacteria: programmed survival forms or cells at death's door?

Authors:  Thomas Nyström
Journal:  Bioessays       Date:  2003-03       Impact factor: 4.345

7.  The accumulation of glutamate is necessary for optimal growth of Salmonella typhimurium in media of high osmolality but not induction of the proU operon.

Authors:  L N Csonka; T P Ikeda; S A Fletcher; S Kustu
Journal:  J Bacteriol       Date:  1994-10       Impact factor: 3.490

8.  Analysis of fluorescent reporters indicates heterogeneity in glucose uptake and utilization in clonal bacterial populations.

Authors:  Nela Nikolic; Thomas Barner; Martin Ackermann
Journal:  BMC Microbiol       Date:  2013-11-15       Impact factor: 3.605

9.  MicrobeJ, a tool for high throughput bacterial cell detection and quantitative analysis.

Authors:  Adrien Ducret; Ellen M Quardokus; Yves V Brun
Journal:  Nat Microbiol       Date:  2016-06-20       Impact factor: 17.745

10.  Resource limitation drives spatial organization in microbial groups.

Authors:  Sara Mitri; Ellen Clarke; Kevin R Foster
Journal:  ISME J       Date:  2015-11-27       Impact factor: 10.302

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  19 in total

1.  Light-dependent single-cell heterogeneity in the chloroplast redox state regulates cell fate in a marine diatom.

Authors:  Avia Mizrachi; Shiri Graff van Creveld; Orr H Shapiro; Shilo Rosenwasser; Assaf Vardi
Journal:  Elife       Date:  2019-06-24       Impact factor: 8.140

2.  Power-law tail in lag time distribution underlies bacterial persistence.

Authors:  Emrah Şimşek; Minsu Kim
Journal:  Proc Natl Acad Sci U S A       Date:  2019-08-19       Impact factor: 11.205

3.  Elucidating heterogeneous iron biomineralization patterns in a denitrifying As(iii)-oxidizing bacterium: implications for arsenic immobilization.

Authors:  Rebeca Lopez-Adams; Simon M Fairclough; Ian C Lyon; Sarah J Haigh; Jun Zhang; Fang-Jie Zhao; Katie L Moore; Jonathan R Lloyd
Journal:  Environ Sci Nano       Date:  2022-01-28

4.  Deciphering Metabolic Heterogeneity by Single-Cell Analysis.

Authors:  Tom M J Evers; Mazène Hochane; Sander J Tans; Ron M A Heeren; Stefan Semrau; Peter Nemes; Alireza Mashaghi
Journal:  Anal Chem       Date:  2019-10-08       Impact factor: 6.986

5.  Fingerprinting Bacterial Metabolic Response to Erythromycin by Raman-Integrated Mid-Infrared Photothermal Microscopy.

Authors:  Jiabao Xu; Xiaojie Li; Zhongyue Guo; Wei E Huang; Ji-Xin Cheng
Journal:  Anal Chem       Date:  2020-10-22       Impact factor: 6.986

6.  Pareto optimality between growth-rate and lag-time couples metabolic noise to phenotypic heterogeneity in Escherichia coli.

Authors:  Diego Antonio Fernandez Fuentes; Pablo Manfredi; Urs Jenal; Mattia Zampieri
Journal:  Nat Commun       Date:  2021-05-28       Impact factor: 14.919

7.  Induction of Escherichia coli Into a VBNC State by Continuous-Flow UVC and Subsequent Changes in Metabolic Activity at the Single-Cell Level.

Authors:  Shenghua Zhang; Lizheng Guo; Kai Yang; Yin Zhang; Chengsong Ye; Sheng Chen; Xin Yu; Wei E Huang; Li Cui
Journal:  Front Microbiol       Date:  2018-09-25       Impact factor: 5.640

8.  The Culture Environment Influences Both Gene Regulation and Phenotypic Heterogeneity in Escherichia coli.

Authors:  Ashley Smith; Agnieszka Kaczmar; Rosemary A Bamford; Christopher Smith; Simona Frustaci; Andrea Kovacs-Simon; Paul O'Neill; Karen Moore; Konrad Paszkiewicz; Richard W Titball; Stefano Pagliara
Journal:  Front Microbiol       Date:  2018-08-15       Impact factor: 5.640

9.  Stochastic modelling reveals mechanisms of metabolic heterogeneity.

Authors:  Mona K Tonn; Philipp Thomas; Mauricio Barahona; Diego A Oyarzún
Journal:  Commun Biol       Date:  2019-03-21

Review 10.  Microbial metabolic noise.

Authors:  Andreas E Vasdekis; Abhyudai Singh
Journal:  WIREs Mech Dis       Date:  2020-11-23
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