The DOI matches its Crossref record; 42 of the 42 references it cites were found in a registry or an index.
Experimental evolution of the megaplasmid pMPPla107 in Pseudomonas stutzeri enables identification of genes contributing to sensitivity to an inhibitory agent
Open accessPublished version of a preprint
Abstract
Horizontally transferred elements, such as plasmids, can burden host cells with various metabolic and fitness costs and may lead to other potentially detrimental phenotypic effects. Acquisition of the Pseudomonas syringae megaplasmid pMPPla107 by various Pseudomonads causes sensitivity to a growth-inhibiting substance that is produced in cultures by Pseudomonads during growth under standard laboratory conditions. After approximately 500 generations of laboratory passage of Pseudomonas stutzeri populations containing pMPPla107, strains from two out of six independent passage lines displayed resistance to this inhibitory agent. Resistance was transferable and is, therefore, associated with mutations occurring on pMPPla107. Resequencing experiments demonstrated that resistance is likely due to a large deletion on the megaplasmid in one line, and to a nonsynonymous change in an uncharacterized megaplasmid locus in the other strain. We further used allele exchange experiments to confirm that resistance is due to this single amino acid change in a previously uncharacterized megaplasmid protein, which we name SkaA. These results provide further evidence that costs and phenotypic changes associated with horizontal gene transfer can be compensated through single mutational events and emphasize the power of experimental evolution and resequencing to better understand the genetic basis of evolved phenotypes. This article is part of the theme issue ‘The secret lives of microbial mobile genetic elements’.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Basic local alignment search tool
Altschul, S. F., Gish, W., Miller, W., Myers, E. W., & Lipman, D. J. (1990) · Journal of Molecular Biology · doi:10.1006/jmbi.1990.9999 · Cited by 98,669
Highly accurate protein structure prediction with AlphaFold
Jumper, J., Evans, R., Pritzel, A., Green, T., Figurnov, M., Ronneberger, O., Tunyasuvunakool, K., Bates, R., Žídek, A., Potapenko, A., et al. (2021) · Nature · doi:10.1038/s41586-021-03819-2 · Cited by 43,764
Berman, H. M. (2000) · Nucleic Acids Research · doi:10.1093/nar/28.1.235 · Cited by 40,196
Prokka: rapid prokaryotic genome annotation
Seemann, T. (2014) · Bioinformatics · doi:10.1093/bioinformatics/btu153 · Cited by 18,937
The Phyre2 web portal for protein modeling, prediction and analysis
Kelley, L. A., Mezulis, S., Yates, C. M., Wass, M. N., & Sternberg, M. J. E. (2015) · Nature Protocols · doi:10.1038/nprot.2015.053 · Cited by 9,652
Deatherage, D. E., & Barrick, J. E. (2014) · Methods in molecular biology · doi:10.1007/978-1-4939-0554-6_12 · Cited by 1,603
Mol* Viewer: modern web app for 3D visualization and analysis of large biomolecular structures
Sehnal, D., Bittrich, S., Deshpande, M., Svobodová, R., Berka, K., Bazgier, V., Velankar, S., Burley, S. K., Koča, J., & Rose, A. S. (2021) · Nucleic Acids Research · doi:10.1093/nar/gkab314 · Cited by 1,154
Metabolic load and heterologous gene expression
Glick, B. R. (1995) · Biotechnology Advances · doi:10.1016/0734-9750(95)00004-a · Cited by 665
MMseqs2 desktop and local web server app for fast, interactive sequence searches
Mirdita, M., Steinegger, M., & Söding, J. (2019) · Bioinformatics · doi:10.1093/bioinformatics/bty1057 · Cited by 618
Fitness Costs of Plasmids: a Limit to Plasmid Transmission
Millán, Á. S., & MacLean, R. C. (2017) · Microbiology Spectrum · doi:10.1128/microbiolspec.mtbp-0016-2017 · Cited by 605
Metadata
- Authors
- Smith, B. A., Dougherty, K., Clark, M., & Baltrus, D. A.
- Affiliations
- University of Arizona (US)
- Corresponding author
- Baltrus, David A.
- Venue
- Philosophical Transactions of the Royal Society B
- Publisher
- The Royal Society
- Published
- 2021-11-29
- Volume
- 377
- Issue
- 1842
- Pages
- 20200474-20200474
- ISSN
- 0962-8436 (ISSN-L)
- 1471-2970
- PMC
- PMC8628073
- OpenAlex
- W3215107043
- Cited by
- 5
- References
- 42
- Citations by year
- 2026: 1 · 2025: 1 · 2023: 2 · 2021: 1
- FWCI
- 0.42
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- royalsociety.org/-/media/journals/author/Licence-to-Publish-20062019-final.pdf (vor)
- royalsociety.org/journals/ethics-policies/data-sharing-mining/ (vor)
- royalsociety.org/journals/ethics-policies/data-sharing-mining/ (tdm)
- Locations
- Philosophical Transactions of the Royal Society B Biological Sciences (publishedVersion)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nc)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Science Foundation (IOS-1856556)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Evolution and Genetic Dynamics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Bacterial Genetics and Biotechnology
- Health Sciences › Medicine › Microbiology (medical) › Antibiotic Resistance in Bacteria
- Keywords
- Pseudomonas stutzeri, experimental evolution, horizontal gene transfer, plasmid deletion, resequencing, plasmid genes
- MeSH terms
- Plasmids, Sequence Analysis, DNA, Gene Transfer, Horizontal, Pseudomonas stutzeri, Pseudomonas syringae
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Experimental evolution of the megaplasmid pMPPla107 in Pseudomonas stutzeri enables identification of genes contributing to sensitivity to an inhibitory agent. https://app.cochat.ai/papers/10.1098/rstb.2020.0474
- The paper
- Smith, B. A., Dougherty, K., Clark, M., & Baltrus, D. A. (2022). Experimental evolution of the megaplasmid pMPPla107 in Pseudomonas stutzeri enables identification of genes contributing to sensitivity to an inhibitory agent. Philosophical Transactions of the Royal Society B. https://doi.org/10.1098/rstb.2020.0474
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.