The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.
Phenotypic bistability in Escherichia coli 's central carbon metabolism
Open accessAbstract
Fluctuations in intracellular molecule abundance can lead to distinct, coexisting phenotypes in isogenic populations. Although metabolism continuously adapts to unpredictable environmental changes, and although bistability was found in certain substrate‐uptake pathways, central carbon metabolism is thought to operate deterministically. Here, we combine experiment and theory to demonstrate that a clonal Escherichia coli population splits into two stochastically generated phenotypic subpopulations after glucose‐gluconeogenic substrate shifts. Most cells refrain from growth, entering a dormant persister state that manifests as a lag phase in the population growth curve. The subpopulation‐generating mechanism resides at the metabolic core, overarches the metabolic and transcriptional networks, and only allows the growth of cells initially achieving sufficiently high gluconeogenic flux. Thus, central metabolism does not ensure the gluconeogenic growth of individual cells, but uses a population‐level adaptation resulting in responsive diversification upon nutrient changes.
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Cites
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
Stochastic Gene Expression in a Single Cell
Elowitz, M. B., Levine, A. J., Siggia, E. D., & Swain, P. S. (2002) · Science · doi:10.1126/science.1070919 · Cited by 5,441
Bacterial Persistence as a Phenotypic Switch
Balaban, N. Q., Merrin, J., Chait, R., Kowalik, L., & Leibler, S. (2004) · Science · doi:10.1126/science.1099390 · Cited by 2,952 · cited 5×
“These fluctuations are often suppressed, but can also be amplified and used to generate distinct phenotypes (Balaban et al , 2004; Ozbudak et al , 2004; Choi et al , 2008; Losick & Desplan, 2008).”
InfluentialLewis, K. (2010) · Annual Review of Microbiology · doi:10.1146/annurev.micro.112408.134306 · Cited by 1,858
Wolfe, A. J. (2005) · Microbiology and Molecular Biology Reviews · doi:10.1128/mmbr.69.1.12-50.2005 · Cited by 1,233
Multistability in the lactose utilization network of Escherichia coli
Ozbudak, E. M., Thattai, M., Lim, H. N., Shraiman, B. I., & van Oudenaarden, A. (2004) · Nature · doi:10.1038/nature02298 · Cited by 1,030
Full dynamic range proteome analysis of S. cerevisiae by targeted proteomics
Picotti, P., Bodenmiller, B., Mueller, L. N., Domon, B., & Aebersold, R. (2009) · Cell · doi:10.1016/j.cell.2009.05.051 · Cited by 744
Adaptive prediction of environmental changes by microorganisms
Mitchell, A., Romano, G. H., Groisman, B., Yona, A., Dekel, E., Kupiec, M., Dahan, O., & Pilpel, Y. (2009) · Nature · doi:10.1038/nature08112 · Cited by 581
A Stochastic Single-Molecule Event Triggers Phenotype Switching of a Bacterial Cell
Choi, P. J., Cai, L., Frieda, K., & Xie, X. S. (2008) · Science · doi:10.1126/science.1161427 · Cited by 438
Proteome-wide cellular protein concentrations of the human pathogen Leptospira interrogans
Malmström, J., Beck, M., Schmidt, A., Lange, V., Deutsch, E. W., & Aebersold, R. (2009) · Nature · doi:10.1038/nature08184 · Cited by 421
Cited by
Verstraeten, N., Knapen, W. J., Kint, C. I., Liebens, V., Van den Bergh, B., Dewachter, L., Michiels, J. E., Fu, Q., David, C. C., Fierro, A. C., et al. (2015) · Molecular Cell · doi:10.1016/j.molcel.2015.05.011 · Cited by 320
Spatial transcriptomics of planktonic and sessile bacterial populations at single-cell resolution
Dar, D., Dar, N., Cai, L., & Newman, D. K. (2021) · Science · doi:10.1126/science.abi4882 · Cited by 299
A universal trade-off between growth and lag in fluctuating environments
Basan, M., Honda, T., Christodoulou, D., Hörl, M., Chang, Y.-F., Leoncini, E., Mukherjee, A., Okano, H., Taylor, B. R., Silverman, J. M., et al. (2020) · Nature · doi:10.1038/s41586-020-2505-4 · Cited by 269
Molecular and cellular bases of adaptation to a changing environment in microorganisms
Bleuven, C., & Landry, C. R. (2016) · Proceedings of the Royal Society B: Biological Sciences · doi:10.1098/rspb.2016.1458 · Cited by 104
Systems Biology of Lactic Acid Bacteria: For Food and Thought
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Metadata
- Authors
- Kotte, O., Volkmer, B., Radzikowski, J. L., & Heinemann, M.
- Venue
- Molecular Systems Biology
- Published
- 2014-07
- Volume
- 10
- Issue
- 7
- Pages
- 736-736
- ISSN
- 1744-4292 (ISSN-L)
- OpenAlex
- W2117597548
- Cited by
- 247
- References
- 13
- FWCI
- 8.52
- Type
- journal article
- Language
- en
- Open access
- gold
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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