The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Diverse genetic contexts of HicA toxin domains propose a role in anti-phage defense
Open accessPublished version of a preprint
Abstract
Prokaryotic organisms harbor a multitude of toxin–antitoxin (TA) systems, which have long puzzled scientists as “genes in search for a function.” Recent scientific advancements have shed light on the primary role of TAs as anti-phage defense mechanisms. To gain an overview of TAs it is important to analyze their genetic contexts that can give hints on function and guide future experimental inquiries. This article describes a thorough bioinformatics examination of genes encoding the HicA toxin domain, revealing its presence in no fewer than 14 unique genetic arrangements. Some configurations notably align with anti-phage activities, underscoring potential roles in microbial immunity. These insights robustly reinforce the hypothesis that HicA toxins are integral components of the prokaryotic anti-phage defense repertoire. The elucidation of these genetic contexts not only advances our understanding of TAs but also contributes to a paradigm shift in how we perceive their functionality within the microbial world.
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
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
Potter, S. C., Luciani, A., Eddy, S. R., Park, Y., Lopez, R., & Finn, R. D. (2018) · Nucleic Acids Research · doi:10.1093/nar/gky448 · Cited by 2,607
Fast and accurate protein structure search with Foldseek
van Kempen, M., Kim, S. S., Tumescheit, C., Mirdita, M., Lee, J., Gilchrist, C. L. M., Söding, J., & Steinegger, M. (2022) · doi:10.1101/2022.02.07.479398 · Cited by 2,598
Fast and accurate protein structure search with Foldseek
van Kempen, M., Kim, S. S., Tumescheit, C., Mirdita, M., Lee, J., Gilchrist, C. L. M., Söding, J., & Steinegger, M. (2024) · Nature Biotechnology · doi:10.1038/s41587-023-01773-0 · Cited by 2,596
Flagged first, then by citations
Research works printed but not linked: 64
- 10.1126/science.aar4120 · DOI
- 10.1093/nar/gkt157 · DOI
- 10.1128/JB.05535-11 · DOI
- 10.1038/s41586-020-2762-2 · DOI
- 10.1038/s41586-022-04546-y · DOI
- 10.1101/2022.11.18.517080 · DOI
- 10.1371/journal.pgen.1010694 · DOI
- 10.1073/pnas.0808832106 · DOI
- 10.1128/jb.178.7.2044-2050.1996 · DOI
- 10.1146/annurev-virology-031413-085500 · DOI
- 10.1038/s41579-023-00877-3 · DOI
- 10.1016/j.cell.2020.09.065 · DOI
- 10.1073/pnas.2307382120 · DOI
- 10.1016/j.molcel.2022.12.020 · DOI
- 10.1038/s41586-022-05444-z · DOI
- 10.1016/j.chom.2022.09.017 · DOI · Paper page
- 10.1016/j.molcel.2021.03.027 · DOI
- 10.1038/s41564-022-01162-4 · DOI
- 10.1038/s41586-022-05091-4 · DOI · Paper page
- 10.1038/s41564-022-01219-4 · DOI
- 10.1038/s41564-022-01153-5 · DOI
- 10.1128/msphere.00372-23 · DOI
- 10.1073/pnas.2305393120 · DOI
- 10.1534/genetics.110.121798 · DOI
- 10.1146/annurev-micro-020722-013730 · DOI
- 10.1016/j.molcel.2018.01.003 · DOI
- 10.1038/s41579-021-00661-1 · DOI
- 10.1128/JB.01013-08 · DOI
- 10.1186/1745-6150-1-7 · DOI · Paper page
- 10.1128/JB.01932-14 · DOI
- 10.1042/BJ20140073 · DOI
- 10.1093/nar/gky469 · DOI
- 10.1016/j.str.2019.08.008 · DOI
- 10.1074/jbc.RA118.005173 · DOI
- 10.1111/mmi.13662 · DOI
- 10.1046/j.1365-2958.2001.02492.x · DOI
- 10.1016/j.cell.2010.05.039 · DOI
- 10.1111/j.1365-2958.2008.06313.x · DOI
- 10.1093/nar/gkz563 · DOI
- 10.1016/j.str.2012.08.017 · DOI
- 10.1073/pnas.011593298 · DOI
- 10.1038/s41586-018-0355-0 · DOI
- 10.1046/j.1365-2958.2003.03512.x · DOI
- 10.1046/j.1365-2958.1998.00993.x · DOI
- 10.1146/annurev-virology-011620-040628 · DOI
- 10.1016/j.celrep.2022.111752 · DOI
- 10.1111/mmi.13051 · DOI
- 10.1016/j.sbi.2023.102598 · DOI
- 10.1007/s00294-020-01076-w · DOI
- 10.1016/j.tibs.2004.01.002 · DOI
- 10.1042/BST20221395 · DOI
- 10.1093/nar/gkad962 · DOI
- 10.1093/bioinformatics/btaa788 · DOI
- 10.1002/pro.3290 · DOI · Paper page
- 10.1093/nar/gkl191 · DOI
- 10.1093/bioinformatics/btp033 · DOI
- 10.1093/nar/gkz239 · DOI
- 10.1093/molbev/msp077 · DOI · Paper page
- 10.1093/nar/gkv332 · DOI
- 10.1038/s41592-022-01488-1 · DOI · Paper page
- 10.1093/nar/gkad297 · DOI
- 10.1002/prot.26532 · DOI
- 10.1038/nprot.2015.053 · DOI · Paper page
- 10.1016/s0168-9525(00)02024-2 · DOI · Paper page
Metadata
- Authors
- Gerdes, K.
- Affiliations
- University of Copenhagen (DK)
- Corresponding author
- Gerdes, Kenn
- ORCID
- Gerdes, Kenn
- Venue
- mBio
- Publisher
- American Society for Microbiology
- Published
- 2024-02-14
- Volume
- 15
- Issue
- 2
- Pages
- e0329323-e0329323
- ISSN
- 2150-7511 (ISSN-L)
- PMC
- PMC10865869
- OpenAlex
- W4390974206
- Cited by
- 14
- References
- 4
- Citations by year
- 2026: 4 · 2025: 7 · 2024: 3
- FWCI
- 3.83
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- mBio (publishedVersion, cc-by)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Life Sciences › Immunology and Microbiology › Virology › Bacteriophages and microbial interactions
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Bacterial Genetics and Biotechnology
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › CRISPR and Genetic Engineering
- Keywords
- toxin-antitoxin systems, anti-phage defense, phage resistance, viperin, genetic context, prokaryotic immunity
- MeSH terms
- Antitoxins, Bacteria, Bacterial Proteins, Prokaryotic Cells, Toxins, Biological
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