Overflow metabolism in Escherichia coli results from efficient proteome allocation
Open accessAbstract
Overflow metabolism refers to the seemingly wasteful strategy in which cells use fermentation instead of the more efficient respiration to generate energy, despite the availability of oxygen. Known as the Warburg effect in the context of cancer growth, this phenomenon occurs ubiquitously for fast-growing cells, including bacteria, fungi and mammalian cells, but its origin has remained unclear despite decades of research. Here we study metabolic overflow in Escherichia coli, and show that it is a global physiological response used to cope with changing proteomic demands of energy biogenesis and biomass synthesis under different growth conditions. A simple model of proteomic resource allocation can quantitatively account for all of the observed behaviours, and accurately predict responses to new perturbations. The key hypothesis of the model, that the proteome cost of energy biogenesis by respiration exceeds that by fermentation, is quantitatively confirmed by direct measurement of protein abundances via quantitative mass spectrometry.
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The results reinforce the idea that there is a simple principle for protein allocation in microorganisms.
“These results reinforce the idea that there is a simple principle for protein allocation in microorganisms (Basan et al, 2015; Hui et al, 2015; Nilsson & Nielsen, 2016).”
From Improving the phenotype predictions of a yeast genome‐scale metabolic model by incorporating enzymatic constraints (2017) · cites this paper as Basan et al, 2015
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Cites
Hallmarks of Cancer: The Next Generation
Hanahan, D., & Weinberg, R. A. (2011) · Cell · doi:10.1016/j.cell.2011.02.013 · Cited by 66,590 · see citing works
Gene Ontology: tool for the unification of biology
Ashburner, M., Ball, C. A., Blake, J. A., Botstein, D., Butler, H., Cherry, J. M., Davis, A. P., Dolinski, K., Dwight, S. S., Eppig, J. T., et al. (2000) · Nature Genetics · doi:10.1038/75556 · Cited by 43,206 · see citing works
Understanding the Warburg Effect: The Metabolic Requirements of Cell Proliferation
Vander Heiden, M. G., Cantley, L. C., & Thompson, C. B. (2009) · Science · doi:10.1126/science.1160809 · Cited by 16,197 · see citing works
Construction of Escherichia coli K‐12 in‐frame, single‐gene knockout mutants: the Keio collection
Baba, T., Ara, T., Hasegawa, M., Takai, Y., Okumura, Y., Baba, M., Datsenko, K. A., Tomita, M., Wanner, B. L., & Mori, H. (2006) · Molecular Systems Biology · doi:10.1038/msb4100050 · Cited by 7,858 · see citing works
Culture Medium for Enterobacteria
Neidhardt, F. C., Bloch, P. L., & Smith, D. F. (1974) · Journal of Bacteriology · doi:10.1128/jb.119.3.736-747.1974 · Cited by 2,977 · see citing works
Lutz, R. (1997) · Nucleic Acids Research · doi:10.1093/nar/25.6.1203 · Cited by 1,696 · see citing works
Interdependence of Cell Growth and Gene Expression: Origins and Consequences
Scott, M., Gunderson, C. W., Mateescu, E. M., Zhang, Z., & Hwa, T. (2010) · Science · doi:10.1126/science.1192588 · Cited by 1,470 · see citing works
Self-citationCooperation and Competition in the Evolution of ATP-Producing Pathways
Pfeiffer, T., Schuster, S., & Bonhoeffer, S. (2001) · Science · doi:10.1126/science.1058079 · Cited by 1,365 · see citing works
Wolfe, A. J. (2005) · Microbiology and Molecular Biology Reviews · doi:10.1128/mmbr.69.1.12-50.2005 · Cited by 1,233 · see citing works
Li, G., Burkhardt, D. H., Gross, C. A., & Weissman, J. S. (2014) · Cell · doi:10.1016/j.cell.2014.02.033 · Cited by 1,218 · see citing works
Varma, A., & Palsson, B. Ø. (1994) · Applied and Environmental Microbiology · doi:10.1128/aem.60.10.3724-3731.1994 · Cited by 1,058 · see citing works
The Crabtree Effect: A Regulatory System in Yeast
DEKEN, R. H. D. (1966) · Journal of General Microbiology · doi:10.1099/00221287-44-2-149 · Cited by 880 · see citing works
Physiology of the bacterial cell : a molecular approach
Neidhardt, F. C., Ingraham, J. L., & Schaechter, M. (1990) · Cited by 808 · see citing works
Metabolic targets for cancer therapy
Galluzzi, L., Kepp, O., Heiden, M. G. V., & Kroemer, G. (2013) · Nature Reviews Drug Discovery · doi:10.1038/nrd4145 · Cited by 705 · see citing works
Growth Rate-Dependent Global Effects on Gene Expression in Bacteria
Klumpp, S., Zhang, Z., & Hwa, T. (2009) · Cell · doi:10.1016/j.cell.2009.12.001 · Cited by 703 · see citing works
Self-citationShifts in growth strategies reflect tradeoffs in cellular economics
Molenaar, D., van Berlo, R., de Ridder, D., & Teusink, B. (2009) · Molecular Systems Biology · doi:10.1038/msb.2009.82 · Cited by 653 · see citing works
Coordination of microbial metabolism
Chubukov, V., Gerosa, L., Kochanowski, K., & Sauer, U. (2014) · Nature Reviews Microbiology · doi:10.1038/nrmicro3238 · Cited by 606 · see citing works
EcoCyc: fusing model organism databases with systems biology
Keseler, I. M., Mackie, A. M., Peralta-Gil, M., Santos-Zavaleta, A., Gama‐Castro, S., Bonavides-Martínez, C., Fulcher, C. A., Huerta, A. M., Kothari, A., Krummenacker, M., et al. (2012) · Nucleic Acids Research · doi:10.1093/nar/gks1027 · Cited by 542 · see citing works
Glycolytic strategy as a tradeoff between energy yield and protein cost
Flamholz, A., Noor, E., Bar-Even, A., Liebermeister, W., & Milo, R. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1215283110 · Cited by 531 · see citing works
Improving lycopene production in Escherichia coli by engineering metabolic control
Farmer, W. R., & Liao, J. C. (2000) · Nature Biotechnology · doi:10.1038/75398 · Cited by 523 · see citing works
Genome‐scale models of metabolism and gene expression extend and refine growth phenotype prediction
O'Brien, E. J., Lerman, J. A., Chang, R. L., Hyduke, D. R., & Palsson, B. Ø. (2013) · Molecular Systems Biology · doi:10.1038/msb.2013.52 · Cited by 471 · see citing works
Coordination of bacterial proteome with metabolism by cyclic AMP signalling
You, C., Okano, H., Hui, S., Zhang, Z., Kim, M., Gunderson, C. W., Wang, Y.-P., Lenz, P., Yan, D., & Hwa, T. (2013) · Nature · doi:10.1038/nature12446 · Cited by 432 · see citing works
Self-citationQuantitative Characteristics of Gene Regulation by Small RNA
Levine, E., Zhang, Z., Kuhlman, T. E., & Terence Hwa, B. (2007) · PLoS Biology · doi:10.1371/journal.pbio.0050229 · Cited by 378 · see citing works
Self-citationQuantitative proteomic analysis reveals a simple strategy of global resource allocation in bacteria
Hui, S., Silverman, J. M., Chen, S. S., Erickson, D. W., Basan, M., Wang, J., Hwa, T., & Williamson, J. R. (2015) · Molecular Systems Biology · doi:10.15252/msb.20145697 · Cited by 369 · see citing works
Self-citationVemuri, G. N., Altman, E., Sangurdekar, D. P., Khodursky, A. B., & Eiteman, M. A. (2006) · Applied and Environmental Microbiology · doi:10.1128/aem.72.5.3653-3661.2006 · Cited by 369 · see citing works
Bacterial growth laws and their applications
Scott, M., & Hwa, T. (2011) · Current Opinion in Biotechnology · doi:10.1016/j.copbio.2011.04.014 · Cited by 309 · see citing works
Self-citationSimple constrained‐optimization view of acetate overflow in E. coli
Majewski, R. A., & Domach, M. M. (1990) · Biotechnology and Bioengineering · doi:10.1002/bit.260350711 · Cited by 299 · see citing works
Cation transport in Escherichia coli. VIII. Potassium transport mutants.
Rhoads, D. B., Waters, F. B., & Epstein, W. (1976) · The Journal of General Physiology · doi:10.1085/jgp.67.3.325 · Cited by 277 · see citing works
Flux analysis and control of the central metabolic pathways in Escherichia coli
Holms, H. (1996) · FEMS Microbiology Reviews · doi:10.1111/j.1574-6976.1996.tb00255.x · Cited by 260 · see citing works
Valgepea, K., Adamberg, K., Nahku, R., Lahtvee, P., Arike, L., & Vilu, R. (2010) · BMC Systems Biology · doi:10.1186/1752-0509-4-166 · Cited by 247 · see citing works
Combinatorial transcriptional control of the lactose operon of Escherichia coli
Kuhlman, T. E., Zhang, Z., Saier, M. H., & Hwa, T. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0606717104 · Cited by 230 · see citing works
Self-citationMinimizing acetate formation in E. coli fermentations
Mey, M. D., Maeseneire, S. L. D., Soetaert, W., et al. (2007) · Journal of Industrial Microbiology & Biotechnology · doi:10.1007/s10295-007-0244-2 · Cited by 229 · see citing works
Nonoptimal microbial response to antibiotics underlies suppressive drug interactions
Bollenbach, T., Quan, S., Chait, R., & Kishony, R. (2009) · Cell · doi:10.1016/j.cell.2009.10.025 · Cited by 227 · see citing works
Soupène, E., van Heeswijk, W. C., PLUMBRIDGE, J. A., Stewart, V. J., Bertenthal, D., Lee, H., Gyaneshwar, P., Paliy, O., Charernnoppakul, P., & Kustu, S. G. (2003) · Journal of Bacteriology · doi:10.1128/jb.185.18.5611-5626.2003 · Cited by 216 · see citing works
Economics of membrane occupancy and respiro‐fermentation
Zhuang, K. H., Vemuri, G. N., & Mahadevan, R. (2011) · Molecular Systems Biology · doi:10.1038/msb.2011.34 · Cited by 205 · see citing works
El-Mansi, E. M. T., & HOLMS, W. H. (1989) · Microbiology · doi:10.1099/00221287-135-11-2875 · Cited by 201 · see citing works
Functioning of a metabolic flux sensor in <i>Escherichia coli</i>
Kochanowski, K., Volkmer, B., Gerosa, L., Haverkorn van Rijsewijk, B. R., Schmidt, A., & Heinemann, M. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1202582110 · Cited by 196 · see citing works
Regulation of the Protein-Synthesizing Machinery—Ribosomes, tRNA, Factors, and So On
Maaløe, O. (1979) · Biological Regulation and Development · doi:10.1007/978-1-4684-3417-0_12 · Cited by 178 · see citing works
Limiting factors in Escherichia coli fed‐batch production of recombinant proteins
Sandén, A. M., Prytz, I., Tubulekas, I., et al. (2002) · Biotechnology and Bioengineering · doi:10.1002/bit.10457 · Cited by 157 · see citing works
Proteome reallocation in <i>Escherichia coli</i> with increasing specific growth rate
Peebo, K., Valgepea, K., Maser, A., Nahku, R., Adamberg, K., & Vilu, R. (2015) · Molecular BioSystems · doi:10.1039/c4mb00721b · Cited by 145 · see citing works
Nanchen, A., Schicker, A., & Sauer, U. (2006) · Applied and Environmental Microbiology · doi:10.1128/aem.72.2.1164-1172.2006 · Cited by 140 · see citing works
The mechanism of action of DNP on phospholipid bilayer membranes
McLaughlin, S. (1972) · The Journal of Membrane Biology · doi:10.1007/bf01868062 · Cited by 133 · see citing works
Impact of the solvent capacity constraint on E. coli metabolism
Vazquez, A., Beg, Q. K., deMenezes, M. A., Ernst, J., Bar-Joseph, Z., Barabási, A.-L., Boros, L. G., & Oltvai, Z. N. (2008) · BMC Systems Biology · doi:10.1186/1752-0509-2-7 · Cited by 124 · see citing works
Ultrahigh-Speed Calculation of Isotope Distributions
Rockwood, A. L., & Orden, S. L. V. (1996) · Analytical Chemistry · doi:10.1021/ac951158i · Cited by 122 · see citing works
Unden, G., Steinmetz, P. A., & Dünnwald, P. (2014) · EcoSal Plus · doi:10.1128/ecosalplus.esp-0005-2013 · Cited by 117 · see citing works
Acetate formation in continuous culture of Escherichia coli K12 D1 on defined and complex media
Meyer, H., Leist, C., & Fiechter, A. (1984) · Journal of Biotechnology · doi:10.1016/0168-1656(84)90027-0 · Cited by 107 · see citing works
Veit, A., Polen, T., & Wendisch, V. F. (2006) · Applied Microbiology and Biotechnology · doi:10.1007/s00253-006-0680-3 · Cited by 97 · see citing works
A flux-sensing mechanism could regulate the switch between respiration and fermentation
Huberts, D. H. E. W., Niebel, B., & Heinemann, M. (2011) · FEMS Yeast Research · doi:10.1111/j.1567-1364.2011.00767.x · Cited by 96 · see citing works
Using Genomic Sequencing for Classical Genetics in E. coli K12
Lyons, E. H., Freeling, M., Kustu, S. G., & Inwood, W. B. (2011) · PLoS ONE · doi:10.1371/journal.pone.0016717 · Cited by 90 · see citing works
Aristidou, A. A., San, K. Y., & Bennett, G. N. (1995) · Biotechnology Progress · doi:10.1021/bp00034a019 · Cited by 79 · see citing works
Renilla, S., Bernal, V., Fuhrer, T., Castaño‐Cerezo, S., Pastor, J. M., Iborra, J. L., Sauer, U., & Cánovas, M. (2011) · Applied Microbiology and Biotechnology · doi:10.1007/s00253-011-3536-4 · Cited by 77 · see citing works
Variation in Escherichia coli buoyant density measured in Percoll gradients
Woldringh, C. L., Binnerts, J. S., & Mans, A. (1981) · Journal of Bacteriology · doi:10.1128/jb.148.1.58-63.1981 · Cited by 69 · see citing works
Functional and Metabolic Effects of Adaptive Glycerol Kinase (GLPK) Mutants in Escherichia coli
Applebee, M. K., Joyce, A. R., Conrad, T. M., Pettigrew, D. W., & Palsson, B. Ø. (2011) · Journal of Biological Chemistry · doi:10.1074/jbc.m110.195305 · Cited by 64 · see citing works
Sperling, E., Bunner, A. E., Sykes, M. T., & Williamson, J. R. (2008) · Analytical Chemistry · doi:10.1021/ac800080v · Cited by 54 · see citing works
Self-citationEl-Mansi, M. (2004) · Journal of Industrial Microbiology & Biotechnology · doi:10.1007/s10295-004-0149-2 · Cited by 54 · see citing works
Brooker, R. J. (1991) · Journal of Biological Chemistry · doi:10.1016/s0021-9258(20)64296-x · Cited by 47 · see citing works
Complete Genome Sequence of Escherichia coli NCM3722
Brown, S. D., & Jun, S. (2015) · Genome Announcements · doi:10.1128/genomea.00879-15 · Cited by 46 · see citing works
Accumulation of 3-(N-morpholino)propanesulfonate by osmotically stressed Escherichia coli K-12
Cayley, S., Record, M. T., & Lewis, B. A. (1989) · Journal of Bacteriology · doi:10.1128/jb.171.7.3597-3602.1989 · Cited by 44 · see citing works
Evolutionary Consequences of Tradeoffs between Yield and Rate of ATP Production
Pfeiffer, T., & Bonhoeffer, S. (2002) · Zeitschrift für Physikalische Chemie · doi:10.1524/zpch.2002.216.1.051 · Cited by 37 · see citing works
Unden, G., & Dünnwald, P. (2008) · EcoSal Plus · doi:10.1128/ecosalplus.3.2.2 · Cited by 33 · see citing works
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- Authors
- Basan, M., Hui, S., Okano, H., Zhang, Z., Shen, Y., Williamson, J. R., & Hwa, T.
- Affiliations
- ETH Zurich (CH)
- University of California San Diego (US)
- Scripps Research Institute (US)
- Venue
- Nature
- Published
- 2015-12
- Volume
- 528
- Issue
- 7580
- Pages
- 99-104
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- PMC
- PMC4843128
- OpenAlex
- W2416065856
- Cited by
- 785
- References
- 60
- Citations by year
- 2026: 116 · 2025: 90 · 2024: 86 · 2023: 80 · 2022: 70 · 2021: 81 · 2020: 82 · 2019: 68 · 2018: 44 · 2017: 40 · 2016: 26 · 2015: 1
- FWCI
- 16.06
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Funders
- National Institute of General Medical Sciences (R01GM109069, R01GM095903)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Microbial Metabolic Engineering and Bioproduction
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Bacterial Genetics and Biotechnology
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gene Regulatory Network Analysis
- Keywords
- overflow metabolism, Warburg effect, Escherichia coli, fermentation, respiration, proteome allocation, protein abundance, biomass synthesis, metabolic modeling, bacterial growth, oxygen availability
- MeSH terms
- Energy Metabolism, Escherichia coli, Fermentation, Models, Biological, Neoplasms, Oxygen, Mass Spectrometry, Biomass, Cell Respiration, Acetic Acid, Proteome, Escherichia coli Proteins, Proteomics
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