The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Toxin-antitoxin loci are highly abundant in free-living but lost from host-associated prokaryotes
Open accessAbstract
Prokaryotic chromosomes code for toxin-antitoxin (TA) loci, often in multiple copies. In E.coli, experimental evidence indicates that TA loci are stress-response elements that help cells survive unfavorable growth conditions. The first gene in a TA operon codes for an antitoxin that combines with and neutralizes a regulatory 'toxin', encoded by the second gene. RelE and MazF toxins are regulators of translation that cleave mRNA and function, in interplay with tmRNA, in quality control of gene expression. Here, we present the results from an exhaustive search for TA loci in 126 completely sequenced prokaryotic genomes (16 archaea and 110 bacteria). We identified 671 TA loci belonging to the seven known TA gene families. Surprisingly, obligate intracellular organisms were devoid of TA loci, whereas free-living slowly growing prokaryotes had particularly many (38 in Mycobacterium tuberculosis and 43 in Nitrosomonas europaea). In many cases, TA loci were clustered and closely linked to mobile genetic elements. In the most extreme of these cases, all 13 TA loci of Vibrio cholerae were bona fide integron elements located in the V.cholerae mega-integron. These observations strongly suggest that TA loci are mobile cassettes that move frequently within and between chromosomes and also lend support to the hypothesis that TA loci function as stress-response elements beneficial to free-living prokaryotes.
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
Massive gene decay in the leprosy bacillus.
Cole, S. T., Eiglmeier, K., Parkhill, J., James, K. D., Thomson, N. R., Wheeler, P. R., Honoré, N., Garnier, T., Churcher, C., Harris, D., et al. (2001) · Nature · doi:10.1038/35059006 · Cited by 1,777
The genome sequence of Rickettsia prowazekii and the origin of mitochondria
Andersson, S. G. E., Zomorodipour, A., Andersson, J. O., Sicheritz-Pontén, T., Alsmark, U. C. M., Podowski, R. M., Näslund, A. K., Eriksson, A.-S., Winkler, H. H., & Kurland, C. G. (1998) · Nature · doi:10.1038/24094 · Cited by 1,697
Role of a peptide tagging system in degradation of proteins synthesized from damaged messenger RNA
Keiler, K. C., Waller, P. R. H., & Sauer, R. T. (1996) · Science · doi:10.1126/science.271.5251.990 · Cited by 1,125
Cited by
Persister cells, dormancy and infectious disease
Lewis, K. (2007) · Nature Reviews Microbiology · doi:10.1038/nrmicro1557 · Cited by 2,052
Lewis, K. (2010) · Annual Review of Microbiology · doi:10.1146/annurev.micro.112408.134306 · Cited by 1,858
Pseudomonas aeruginosa Lifestyle: A Paradigm for Adaptation, Survival, and Persistence
Moradali, M. F., Ghods, S., & Rehm, B. H. A. (2017) · Frontiers in Cellular and Infection Microbiology · doi:10.3389/fcimb.2017.00039 · Cited by 1,537
Persistent bacterial infections and persister cells
Fisher, R. A., Gollan, B., & Helaine, S. (2017) · Nature Reviews Microbiology · doi:10.1038/nrmicro.2017.42 · Cited by 1,243
Antibiotic resistance and persistence—implications for human health and treatment perspectives
Huemer, M., Mairpady Shambat, S., Brugger, S. D., & Zinkernagel, A. S. (2020) · The EMBO Reports · doi:10.15252/embr.202051034 · Cited by 850
Metadata
- Authors
- Pandey, D. P.
- Venue
- Nucleic Acids Research
- Publisher
- Oxford University Press (OUP)
- Published
- 2005-02-18
- Volume
- 33
- Issue
- 3
- Pages
- 966-976
- ISSN
- 0305-1048 (ISSN-L)
- 1362-4962
- OpenAlex
- W2126573196
- Cited by
- 896
- References
- 3
- FWCI
- 20.34
- Type
- journal article
- Language
- en
- Open access
- gold
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: Toxin-antitoxin loci are highly abundant in free-living but lost from host-associated prokaryotes. https://app.cochat.ai/papers/10.1093/nar/gki201
- The paper
- Pandey, D. P. (2005). Toxin-antitoxin loci are highly abundant in free-living but lost from host-associated prokaryotes. Nucleic Acids Research. https://doi.org/10.1093/nar/gki201
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.