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History-Dependent Physiological Adaptation to Lethal Genetic Modification under Antibiotic Exposure
Open accessPreprint — published as 10.7554/elife.74486 · Paper page
Abstract
Genetic modifications, such as gene deletion and mutations, could lead to significant changes in physiological states or even cell death. Bacterial cells can adapt to diverse external stresses, such as antibiotic exposure, but can they also adapt to detrimental genetic modification? To address this issue, we visualized the response of individual Escherichia coli cells to deletion of the antibiotic resistance gene under chloramphenicol (Cp) exposure, combining the light-inducible genetic recombination and microfluidic long-term single-cell tracking. We found that a significant fraction (∼ 40%) of resistance-gene-deleted cells demonstrated a gradual restoration of growth and stably proliferated under continuous Cp exposure without additional mutations. Such physiological adaptation to genetic modification was not observed when the deletion was introduced in 10 h or more advance before Cp exposure. Resistance gene deletion under Cp exposure disrupted the stoichiometric balance of ribosomal large and small subunit proteins (RplS and RpsB). However, the balance was gradually recovered in the cell lineages with restored growth. These results demonstrate that bacterial cells can adapt even to lethal genetic modifications by plastically gaining physiological resistance. However, the access to the resistance states is limited by the environmental histories and the timings of genetic modification.
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Milo, R. (2013) · BioEssays · doi:10.1002/bies.201300066 · Cited by 614
Research works printed but not linked: 31
- 10.1146/annurev-micro-090110-102946 · DOI
- Walker GC . The SOS Response of Escherichia coli. In: Neidhardt FC , editor. Escherichia coli and Salmonella: Cellular and Molecular Biology. 2nd ed. ASM Press; 1996.
- 10.1073/pnas.92.25.11736 · DOI
- 10.1086/281875 · DOI
- 10.1371/journal.pbio.2004644 · DOI · Paper page
- 10.1038/150563a0 · DOI · Paper page
- 10.1038/24550 · DOI · Paper page
- 10.1038/nature749 · DOI · Paper page
- 10.1038/417398a · DOI
- 10.1371/journal.pgen.1006780 · DOI · Paper page
- 10.1038/nature08150 · DOI
- 10.1038/nchembio.2205 · DOI
- 10.1016/j.cub.2010.04.045 · DOI · Paper page
- 1967, The enzymatic acetylation of chloramphenicol by extracts of R factor-resistant Escherichia coli, The Journal of Biological Chemistry, 242, 687, 10.1016/S0021-9258(18)96259-9 · DOI
- 10.1038/ncomms7256 · DOI
- Pongs O. Chloramphenicol. In: Mechanism of Action of Antibacterial Agents. Berlin, Heidelberg: Springer Berlin Heidelberg; 1979. p. 26–42. Available from: http://link.springer.com/10.1007/978-3-642-46403-4{_}3. · DOI
- 10.1093/nar/gku381 · DOI
- 10.1111/j.1365-2958.2011.07555.x · DOI
- 10.1128/jb.170.11.5042-5050.1988 · DOI
- 10.1146/ANNUREV.BI.53.070184.000451 · DOI · Paper page
- 10.1146/ANNUREV.GE.20.120186.001501 · DOI
- Keener J , Nomura M. Regulation of Ribosome Synthesis. In: Neidhardt FC , editor. Escherichia coli and Salmonella: Cellular and Molecular Biology. ASM Press; 1996.
- 10.1128/MMBR.00013-07 · DOI
- 10.1371/journal.pgen.1000760 · DOI
- 10.1371/journal.pgen.1003123 · DOI
- 10.1093/nar/25.20.4165 · DOI
- 10.1073/pnas.120163297 · DOI
- 10.1038/s41467-017-02505-0 · DOI
- 10.1073/pnas.1519412113 · DOI
- 10.3233/ida-2007-11508 · DOI
- 10.1007/978-1-4939-0554-612 · DOI
Metadata
- Authors
- Koganezawa, Y., Umetani, M., Sato, M., & Wakamoto, Y.
- Affiliations
- The University of Tokyo (JP)
- Universal Biology Institute, The University of Tokyo (JP)
- Corresponding author
- Wakamoto, Yuichi
- Venue
- eLife
- Publisher
- openRxiv
- Published
- 2021-09-06
- Volume
- 11
- ISSN
- 2050-084X (ISSN-L)
- PMC
- PMC9090333
- OpenAlex
- W4229450000
- Cited by
- 21
- References
- 1
- Citations by year
- 2026: 5 · 2025: 8 · 2024: 4 · 2023: 4
- FWCI
- 2.40
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- eLife (publishedVersion, cc-by)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nd)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Kanagawa Institute of Industrial Science and Technology
- Wakamoto Pharmaceutical
- Japan Society for the Promotion of Science (21H04702, 19J22506, 19H03216, 17H06389)
- Japan Science and Technology Agency (JPMJCR1653, JPMJCR1927, JPMJER1902)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Bacterial Genetics and Biotechnology
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Evolution and Genetic Dynamics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gene Regulatory Network Analysis
- Keywords
- antibiotic resistance, chloramphenicol, Escherichia coli, gene deletion, single-cell tracking, microfluidics, environmental history, cell lineage
- MeSH terms
- Adaptation, Physiological, Anti-Bacterial Agents, Chloramphenicol, Drug Resistance, Microbial, Escherichia coli, Drug Resistance, Bacterial, Escherichia coli Proteins
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- Koganezawa, Y., Umetani, M., Sato, M., & Wakamoto, Y. (2021). History-Dependent Physiological Adaptation to Lethal Genetic Modification under Antibiotic Exposure. eLife. https://doi.org/10.1101/2021.09.05.459045