The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Comparative genomics reveal the mechanism of the parallel evolution of O157 and non-O157 enterohemorrhagic Escherichia coli
Open accessAbstract
Among the various pathogenic Escherichia coli strains, enterohemorrhagic E. coli (EHEC) is the most devastating. Although serotype O157:H7 strains are the most prevalent, strains of different serotypes also possess similar pathogenic potential. Here, we present the results of a genomic comparison between EHECs of serotype O157, O26, O111, and O103, as well as 21 other, fully sequenced E. coli/Shigella strains. All EHECs have much larger genomes (5.5–5.9 Mb) than the other strains and contain surprisingly large numbers of prophages and integrative elements (IEs). The gene contents of the 4 EHECs do not follow the phylogenetic relationships of the strains, and they share virulence genes for Shiga toxins and many other factors. We found many lambdoid phages, IEs, and virulence plasmids that carry the same or similar virulence genes but have distinct evolutionary histories, indicating that independent acquisition of these mobile genetic elements has driven the evolution of each EHEC. Particularly interesting is the evolution of the type III secretion system (T3SS). We found that the T3SS of EHECs is composed of genes that were introduced by 3 different types of genetic elements: an IE referred to as the locus of enterocyte effacement, which encodes a central part of the T3SS; SpLE3-like IEs; and lambdoid phages carrying numerous T3SS effector genes and other T3SS-related genes. Our data demonstrate how E. coli strains of different phylogenies can independently evolve into EHECs, providing unique insights into the mechanisms underlying the parallel evolution of complex virulence systems in bacteria.
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
Cluster analysis and display of genome-wide expression patterns
Eisen, M. B., Spellman, P. T., Brown, P. O., & Botstein, D. (1998) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.95.25.14863 · Cited by 16,184
Lateral gene transfer and the nature of bacterial innovation
Ochman, H., Lawrence, J. G., & Groisman, E. A. (2000) · Nature · doi:10.1038/35012500 · Cited by 3,816
Cited by
BLAST Ring Image Generator (BRIG): simple prokaryote genome comparisons
Alikhan, N.-F., Petty, N. K., Ben Zakour, N. L., & Beatson, S. A. (2011) · BMC Genomics · doi:10.1186/1471-2164-12-402 · Cited by 3,303
Comparison of 61 Sequenced Escherichia coli Genomes
Lukjancenko, O., Wassenaar, T. M., & Ussery, D. W. (2010) · Microbial Ecology · doi:10.1007/s00248-010-9717-3 · Cited by 532
Consequences of genomic diversity in Mycobacterium tuberculosis
Coscolla, M., & Gagneux, S. (2014) · Seminars in Immunology · doi:10.1016/j.smim.2014.09.012 · Cited by 451
Conjugative and mobilizable genomic islands in bacteria: evolution and diversity
Bellanger, X., Payot, S., Leblond-Bourget, N., & Guédon, G. (2014) · FEMS Microbiology Reviews · doi:10.1111/1574-6976.12058 · Cited by 375
E. coli as an All-Rounder: The Thin Line Between Commensalism and Pathogenicity
Leimbach, A., Hacker, J., & Dobrindt, U. (2013) · Current Topics in Microbiology and Immunology · doi:10.1007/82_2012_303 · Cited by 366
Metadata
- Authors
- Ogura, Y., Ooka, T., Iguchi, A., Toh, H., Asadulghani, M., Oshima, K., Kodama, T., Abe, H., Nakayama, K., Kurokawa, K., Tobe, T., Hattori, M., & Hayashi, T.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2009-10-20
- Volume
- 106
- Issue
- 42
- Pages
- 17939-17944
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2084231307
- Cited by
- 358
- References
- 2
- FWCI
- 19.31
- Type
- journal article
- Language
- en
- Open access
- green
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: Comparative genomics reveal the mechanism of the parallel evolution of O157 and non-O157 enterohemorrhagic Escherichia coli. https://app.cochat.ai/papers/10.1073/pnas.0903585106
- The paper
- Ogura, Y., Ooka, T., Iguchi, A., Toh, H., Asadulghani, M., Oshima, K., Kodama, T., Abe, H., Nakayama, K., Kurokawa, K., Tobe, T., Hattori, M., & Hayashi, T. (2009). Comparative genomics reveal the mechanism of the parallel evolution of O157 and non-O157 enterohemorrhagic Escherichia coli. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.0903585106
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.