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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References
Morita, RY. Bacteria in oligotrophic environments: starvation-survival lifestyle. New York, NY: Chapman & Hall; 1997.
Cordero OX, Polz MF. Explaining microbial genomic diversity in light of evolutionary ecology. Nat Rev Microbiol. 2014;12:263–73.
Wolf DM, Vazirani VV, Arkin AP. Diversity in times of adversity: probabilistic strategies in microbial survival games. J Theor Biol. 2005;234:227–53.
Acinas SG, Haverkamp THA, Huisman J, Stal LJ. Phenotypic and genetic diversification of Pseudanabaena spp. (cyanobacteria). ISME J. 2008;3:31–46.
Finkel SE. Long-term survival during stationary phase: evolution and the GASP phenotype. Nat Rev Microbiol. 2006;4:113–20.
Krismer J, Tamminen M, Fontana S, Zenobi R, Narwani A. Single-cell mass spectrometry reveals the importance of genetic diversity and plasticity for phenotypic variation in nitrogen-limited Chlamydomonas. ISME J. 2017;11:988–98.
Lenski RE, Experimental evolution and the dynamics of adaptation and genome evolution in microbial populations. ISME J. 2017;11:2181–94.
Maharjan R, Seeto S, Notley-Mcrobb L, Ferenci T. Clonal adaptive radiation in a constant environment. Science. 2006;313:514–7.
Mitri S, Clarke E, Foster KR. Resource limitation drives spatial organization in microbial groups. ISME J. 2016;10:1471–82.
Rendueles O, Velicer GJ. Evolution by flight and fight: diverse mechanisms of adaptation by actively motile microbes. ISME J. 2017;11:555–68.
Zambrano MM, Siegele DA, Almiron M, Tormo A, Kolter R. Microbial competition: Escherichia coli mutants that take over stationary phase cultures. Science. 1993;259:1757–60.
Choi PJ, Cai L, Frieda K, Xie XS. A stochastic single-molecule event triggers phenotype switching of a bacterial cell. Science. 2008;322:442–6.
Frankel NW, Pontius W, Dufour YS, Long J, Hernandez-Nunez L, Emonet T. Adaptability of non-genetic diversity in bacterial chemotaxis. eLife. 2014;3:e03526.
Guantes R, Benedetti I, Silva-Rocha R, De Lorenzo V. Transcription factor levels enable metabolic diversification of single cells of environmental bacteria. ISME J. 2016;10:1122–33.
Ackermann M. A functional perspective on phenotypic heterogeneity in microorganisms. Nat Rev Microbiol. 2015;13:497–508.
Jõers A, Tenson T. Growth resumption from stationary phase reveals memory in Escherichia coli cultures. Sci Rep. 2016;6:24055.
Kaern M, Elston TC, Blake WJ, Collins JJ. Stochasticity in gene expression: from theories to phenotypes. Nat Rev Genet. 2005;6:451–64.
Kuchina A, Espinar L, Çağatay T, Balbin AO, Zhang F, Alvarado A, et al. Temporal competition between differentiation programs determines cell fate choice. Mol Syst Biol. 2011;7:557.
Balaban NQ, Merrin J, Chait R, Kowalik L, Leibler S. Bacterial persistence as a phenotypic switch. Science. 2004;305:1622–5.
Sheik AR, Muller EEL, Audinot J-N, Lebrun LA, Grysan P, Guignard C, et al. In situ phenotypic heterogeneity among single cells of the filamentous bacterium Candidatus Microthrix parvicella. ISME J. 2016;10:1274–9.
Bartumeus F, Campos D, Ryu WS, Lloret-Cabot R, Méndez V, Catalan J. Foraging success under uncertainty: search tradeoffs and optimal space use. Ecol Lett. 2016;19:1299–313.
Venturelli OS, Zuleta I, Murray RM, El-Samad H. Population diversification in a yeast metabolic program promotes anticipation of environmental shifts. PLoS Biol. 2015;13:e1002042.
Belete MK, Balázsi G. Optimality and adaptation of phenotypically switching cells in fluctuating environments. Phys Rev E. 2015;92:062716.
Ackermann M. Microbial individuality in the natural environment. ISME J. 2013;7:465–7.
Kalamees R, Zobel M. The role of the seed bank in gap regeneration in a calcareous grassland community. Ecology. 2002;83:1017–25.
Chesson PL, Warner RR. Environmental variability promotes coexistence in lottery competitive systems. Am Nat. 1981;117:923–43.
Jones SE, Lennon JT. Dormancy contributes to the maintenance of microbial diversity. Proc Natl Acad Sci USA. 2010;107:5881–6.
De Martino M, Ershov D, Van Den Berg PJ, Tans SJ, Meyer, AS. Single-cell analysis of the Dps response to oxidative stress. J Bacteriol. 2016;198:1662–74.
Nikolic N, Barner T, Ackermann M. Analysis of fluorescent reporters indicates heterogeneity in glucose uptake and utilization in clonal bacterial populations. BMC Microbiol. 2013;13:258.
Silander OK, Nikolic N, Zaslaver A, Bren A, Kikoin I, Alon U, et al. A genome-wide analysis of promoter-mediated phenotypic noise in Escherichia coli. PLoS Genet. 2012;8:e1002443.
Taniguchi Y, Choi PJ, Li GW, Chen H, Babu M, Hearn J, et al. Quantifying E. coli proteome and transcriptome with single-molecule sensitivity in single cells. Science. 2010;329:533–8.
Labhsetwar P, Cole JA, Roberts E, Price ND, Luthey-Schulten ZA. Heterogeneity in protein expression induces metabolic variability in a modeled Escherichia coli population. Proc Natl Acad Sci. 2013;110:14006–11.
Kiviet DJ, Nghe P, Walker N, Boulineau S, Sunderlikova V, Tans SJ. Stochasticity of metabolism and growth at the single-cell level. Nature. 2014;514:376–9.
Kotte O, Volkmer B, Radzikowski JL, Heinemann, M. Phenotypic bistability in Escherichia coli’s central carbon metabolism. Mol Syst Biol. 2014;10:736.
Radzikowski JL, Vedelaar S, Siegel D, Ortega ÁD, Schmidt A, Heinemann M. Bacterial persistence is an active σS stress response to metabolic flux limitation. Mol Syst Biol. 2016;12:882
Schreiber F, Littmann S, Lavik G, Escrig S, Meibom A, Kuypers MMM, et al. Phenotypic heterogeneity driven by nutrient limitation promotes growth in fluctuating environments. Nat Microbiol. 2016;1:16055.
Epstein SS. Microbial awakenings. Nature. 2009;457:1083.
JT Staley A, Konopka A. Measurement of in situ activities of nonphotosynthetic microorganisms in aquatic and terrestrial habitats. Annu Rev Microbiol. 1985;39:321–46.
Bogosian G, Bourneuf EV. A matter of bacterial life and death. EMBO Rep. 2001;2:770–4.
Li L, Mendis N, Trigui H, Oliver JD, Faucher SP. The importance of the viable but non-culturable state in human bacterial pathogens. Front Microbiol. 2014;5:258.
Nyström T. Nonculturable bacteria: programmed survival forms or cells at death’s door? BioEssays. 2003;25:204–11.
Huang KC. Applications of imaging for bacterial systems biology. Curr Opin Microbiol. 2015;27:114–20.
Taheri-Araghi S, Brown SD, Sauls JT, Mcintosh DB, Jun S. Single-cell physiology. Annu Rev Biophys. 2015;44:123–42.
Natarajan A, Srienc F. Dynamics of glucose uptake by single Escherichia coli cells. Metab Eng. 1999;1:320–33.
Tao J, Diaz RK, Teixeira CRV, Hackmann TJ. Transport of a fluorescent analogue of glucose (2-NBDG) versus radiolabeled sugars by rumen bacteria and Escherichia coli. Biochemistry. 2016;55:2578–89.
Wang P, Robert L, Pelletier J, Dang WL, Taddei F, Wright A, et al. Robust growth of Escherichia coli. Curr Biol. 2010;20:1099–103.
Yoshioka K, Saito M, Oh K-B, Nemoto Y, Matsuoka H, Natsume M, et al. Intracellular fate of 2-NBDG, a fluorescent probe for glucose uptake activity, in Escherichia coli cells. Biosci Biotechnol Biochem. 1996;60:1899–901.
Yoshioka K, Takahashi H, Homma T, Saito M, Oh K-B, Nemoto Y, et al. A novel fluorescent derivative of glucose applicable to the assessment of glucose uptake activity of Escherichia coli. Biochim Et Biophys Acta (BBA)-Gen Subj. 1996;1289:5–9.
Lutz R, Bujard H. Independent and tight regulation of transcriptional units in Escherichia coli via the LacR/O, the TetR/O and AraC/I1-I2 regulatory elements. Nucleic Acids Res. 1997;25:1203–10.
Iyer S, Park BR, Kim M. Absolute quantitative measurement of transcriptional kinetic parameters in vivo. Nucleic Acids Res. 2016;44:e142.
Gefen O, Fridman O, Ronin I, Balaban NQ. Direct observation of single stationary-phase bacteria reveals a surprisingly long period of constant protein production activity. Proc Natl Acad Sci USA. 2014;111:556–61.
Lennon JT, Jones SE. Microbial seed banks: the ecological and evolutionary implications of dormancy. Nat Rev Microbiol. 2011;9:119–30.
Tuomanen E, Cozens R, Tosch W, Zak O, Tomasz A. The rate of killing of Escherichia coli by beta-lactam antibiotics is strictly proportional to the rate of bacterial growth. J Gen Microbiol. 1986;132:1297–304.
Yao Z, Kahne D, Kishony R. Distinct single-cell morphological dynamics under beta-lactam antibiotics. Mol Cell. 2012;48:705–12.
Dukan S, Nystrom T. Bacterial senescence: stasis results in increased and differential oxidation of cytoplasmic proteins leading to developmental induction of the heat shock regulon. Genes Dev. 1998;12:3431–41.
Gonidakis S, Finkel SE, Longo VD. Genome-wide screen identifies Escherichia coli TCA-cycle-related mutants with extended chronological lifespan dependent on acetate metabolism and the hypoxia-inducible transcription factor ArcA. Aging Cell. 2010;9:868–81.
Kram KE, Finkel SE. Culture volume and vessel affect long-term survival, mutation frequency, and oxidative stress of Escherichia coli. Appl Environ Microbiol. 2014;80:1732–8.
Ballesteros M, Fredriksson A, Henriksson J, Nystrom T. Bacterial senescence: protein oxidation in non-proliferating cells is dictated by the accuracy of the ribosomes. EMBO J. 2001;20:5280–9.
Hassan HM, Fridovich I. Enzymatic defenses against the toxicity of oxygen and of streptonigrin in Escherichia coli. J Bacteriol. 1977;129:1574–83.
Imlay JA. The molecular mechanisms and physiological consequences of oxidative stress: lessons from a model bacterium. Nat Rev Micro. 2013;11:443–54.
Keele BB, Mccord JM, Fridovich I. Superoxide dismutase from Escherichia coli B: a new manganese-containing enzyme. J Biol Chem. 1970;245:6176–81.
Yost FJ, Fridovich I. An iron-containing superoxide dismutase from Escherichia coli. J Biol Chem. 1973;248:4905–8.
Ayrapetyan M, Williams TC, Oliver JD. Bridging the gap between viable but non-culturable and antibiotic persistent bacteria. Trends Microbiol. 2015;23:7–13.
Tempest DW, Neijssel OM. The status of YATP and maintenance energy as biologically interpretable phenomena. Annu Rev Microbiol. 1984;38:459–513.
van Bodegom P. Microbial maintenance: a critical review on its quantification. Microb Ecol. 2007;53:513–23.
Chiang SM, Schellhorn HE. Regulators of oxidative stress response genes in Escherichia coli and their functional conservation in bacteria. Arch Biochem Biophys. 2012;525:161–9.
Demple B. Regulation of bacterial oxidative stress genes. Annu Rev Genet. 1991;25:315–37.
Wu Y, Vulić M, Keren I, Lewis K. Role of oxidative stress in persister tolerance. Antimicrob Agents Chemother. 2012;56:4922–6.
Vega NM, Allison KR, Khalil AS, Collins JJ. Signaling-mediated bacterial persister formation. Nat Chem Biol. 2012;8:431–3.
Beaumont HJE, Gallie J, Kost C, Ferguson GC, Rainey PB. Experimental evolution of bet hedging. Nature. 2009;462:90.
Bódi Z, Farkas Z, Nevozhay D, Kalapis D, Lázár V, Csörgő B, et al. Phenotypic heterogeneity promotes adaptive evolution. PLoS Biol. 2017;15:e2000644.
González C, Ray JCJ, Manhart M, Adams RM, Nevozhay D, Morozov AV, et al. Stress‐response balance drives the evolution of a network module and its host genome. Mol Syst Biol. 2015;11:827.
Brown SD, Jun S. Complete genome sequence of Escherichia coli NCM3722. Genome Announc. 2015;3:e00879-15.
Lyons E, Freeling M, Kustu S, Inwood W. Using genomic sequencing for classical genetics in E. coli K12. PLoS ONE. 2011;6:e16717.
Soupene E, Van Heeswijk WC, Plumbridge J, Stewart V, Bertenthal D, Lee H, et al. Physiological studies of Escherichia coli strain MG1655: Growth defects and apparent cross-regulation of gene expression. J Bacteriol. 2003;185:5611–26.
Csonka LN, Ikeda TP, Fletcher SA, Kustu S. The accumulation of glutamate is necessary for optimal growth of Salmonella typhimurium in media of high osmolality but not induction of the proU operon. J Bacteriol. 1994;176:6324–33.
Ducret A, Quardokus EM, Brun YV. MicrobeJ, a tool for high throughput bacterial cell detection and quantitative analysis. Nat Microbiol. 2016;1:16077.
Schneider CA, Rasband WS, Eliceiri KW. NIH Image to ImageJ: 25 years of image analysis. Nat Meth. 2012;9:671–5.
Acknowledgements
We are grateful to Ilya Nemenman and Hyun Youk for helpful discussion. This work was supported by Emory Start-up Funds.
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Şimşek, E., Kim, M. The emergence of metabolic heterogeneity and diverse growth responses in isogenic bacterial cells. ISME J 12, 1199–1209 (2018). https://doi.org/10.1038/s41396-017-0036-2
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DOI: https://doi.org/10.1038/s41396-017-0036-2
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