The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Parasitic connections: a patescibacterial epibiont, its methylotrophic gammaproteobacterial host, and their phages
Open accessPublished version of a preprint
Abstract
Patescibacteriota form a very diverse and widely distributed phylum of small bacteria inferred to have an episymbiotic lifestyle. However, the prevalence of this lifestyle within the phylum and its host specificity remain poorly known due to the scarcity of cultured representatives. Here, we describe a complex system consisting of a patescibacterium, its gammaproteobacterial hosts, and their respective phages based on enrichment cultures and metagenomic data from two shallow, geographically close, freshwater ecosystems. The patescibacterium Strigamonas methylophilicida sp. nov. defines a new genus within the family Absconditicoccaceae. It grows as an epibiont on cells of methanotrophic species of the gammaproteobacterial family Methylophilaceae. Strigamonas cells grow tightly attached to the host, sometimes forming stacks that connect two host cells. Despite a surprisingly large genome (1.9 Mb) compared to many other Patescibacteriota, S. methylophilicida lacks many essential biosynthetic pathways, including the complete biosynthesis of phospholipids, amino acids, and nucleic acids, implying a dependence on the host to obtain these molecules. We also identified and assembled the complete genomes of one patescibacterial phage that might represent a new virus family within the class Caudoviricetes , and two Methylophilaceae phages predicted to have head-tailed and filamentous virions, respectively. The patesciphage uses a modified genetic code similar to that of its host and encodes four tRNA genes, including the suppressor tRNA gene for the UGA stop codon, which is reassigned to glycine in many Patescibacteriota. Our results confirm a prevalent episymbiotic lifestyle in Absconditicoccaceae and further suggest a clade-specific adaptation of this patescibacterial family for gammaproteobacterial hosts. IMPORTANCE: Patescibacteriota are ultra-small bacteria with reduced genomes that rely on symbiotic interactions with other prokaryotes; however, their host specificity and associated viral parasites remain poorly characterized due to limited cultured representatives. By combining targeted cultivation with genomic and microscopy analyses, we reveal previously unrecognized host lineages and expand the known viral diversity infecting this major, but still poorly known, bacterial phylum. We describe Strigamonas methylophilicida , a new patescibacterial species of the family Absconditicoccaceae that grows as an epibiont on various methylotrophic Gammaproteobacteria. This expands the host range for this family, previously found to infect only photosynthetic partners. Using enrichment cultures and metagenomics, we retrieved complete genomes of novel phages infecting S. methylophilicida and its methylotrophic hosts, including one phage that uses a modified genetic code matching that of the patescibacterium, which shows a specific viral adaptation to infect Absconditicoccaceae hosts. Our findings reveal a previously unrecognized patescibacteria-methylotrophs-phages tripartite interaction in freshwater environments, highlight the adaptations of patescibacterial phages, and shed light on the complex ecology and evolution of host-parasite-phage dynamics in understudied bacterial lineages.
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
Base-excision repair of oxidative DNA damage
David, S. S., O'Shea, V. L., & Kundu, S. (2007) · Nature · doi:10.1038/nature05978 · Cited by 1,238
Unusual biology across a group comprising more than 15% of domain Bacteria
Brown, C. T., Hug, L. A., Thomas, B. C., Sharon, I., Castelle, C. J., Singh, A., Wilkins, M. J., Wrighton, K. C., Williams, K. H., & Banfield, J. F. (2015) · Nature · doi:10.1038/nature14486 · Cited by 1,216 · cited 1×
“Genes coding for most ribosomal proteins were present ( n = 51) , with only a few missing, such as rpL30 , which is often absent in other symbiotic bacteria (2, 8).”
Flagged first, then by citations
Research works printed but not linked: 78
- 10.1038/nbt.4229 · DOI · Paper page
- 10.1038/nmicrobiol.2016.48 · DOI · Paper page
- 10.1038/s41564-017-0012-7 · DOI · Paper page
- 10.1186/s40168-017-0360-9 · DOI
- 10.1038/ncomms7372 · DOI
- 10.1016/j.cell.2018.02.016 · DOI · Paper page
- 10.1038/s41579-018-0076-2 · DOI · Paper page
- 10.1186/s40168-022-01274-3 · DOI
- 10.1073/pnas.1419038112 · DOI
- 10.1177/0022034519831671 · DOI
- 10.1038/s41587-019-0260-6 · DOI
- 10.1080/20002297.2020.1814666 · DOI
- 10.1038/s41467-021-22762-4 · DOI
- 10.1111/1462-2920.15823 · DOI
- 10.1099/ijsem.0.006668 · DOI
- 10.1016/j.syapm.2013.08.007 · DOI
- 10.1128/mbio.01231-25 · DOI
- 10.1073/pnas.2319790121 · DOI
- 10.1038/nature19094 · DOI
- 10.1038/s41564-019-0510-x · DOI
- 10.1128/mbio.01766-23 · DOI
- 10.1111/mec.15864 · DOI
- 10.1093/nar/gkab776 · DOI · Paper page
- Kelly DP, Ardley JK, Wood AP. 2017. Cultivation of methylotrophs, p 197–229. In McGenity TJ, Timmis KN, Nogales B (ed), Hydrocarbon and lipid microbiology protocols: isolation and cultivation. Springer, Berlin Heidelberg, Berlin, Heidelberg.
- 10.1099/ijs.0.029165-0 · DOI
- 10.1038/s41592-023-01940-w · DOI · Paper page
- 10.1038/s41467-019-12171-z · DOI
- 10.1186/s13059-020-02195-w · DOI
- 10.1093/bioinformatics/btz848 · DOI
- 10.1016/j.mib.2007.08.006 · DOI
- 10.1016/j.syapm.2015.02.001 · DOI
- 10.1038/ismej.2017.113 · DOI
- 10.1073/pnas.1303090110 · DOI
- 10.1093/pnasnexus/pgac226 · DOI
- 10.1073/pnas.2007232117 · DOI
- 10.1111/1758-2229.12910 · DOI
- 10.1038/ncomms5917 · DOI
- 10.1002/prot.26689 · DOI
- 10.1186/gb-2011-12-5-222 · DOI
- 10.1006/jmbi.1998.2238 · DOI · Paper page
- 10.1007/s00441-009-0834-6 · DOI · Paper page
- 10.1093/nar/gkt1419 · DOI
- 10.1002/mbo3.346 · DOI
- 10.1111/j.1365-2958.2008.06572.x · DOI
- 10.1038/nrmicro3569 · DOI · Paper page
- 10.1016/j.cell.2015.09.038 · DOI · Paper page
- 10.1038/s41579-019-0299-x · DOI · Paper page
- 10.1128/JB.05535-11 · DOI
- 10.1038/s41587-023-01953-y · DOI
- 10.1016/j.virol.2015.02.010 · DOI
- 10.1038/s41564-022-01128-6 · DOI
- 10.1093/bioinformatics/btx157 · DOI
- 10.3390/v8030066 · DOI
- 10.1038/s41564-022-01214-9 · DOI
- 10.1099/00221287-61-2-205 · DOI
- 10.1093/bioinformatics/btu170 · DOI · Paper page
- 10.1101/gr.213959.116 · DOI · Paper page
- 10.7717/peerj.1319 · DOI
- 10.1093/bioinformatics/btac672 · DOI
- Rodriguez-R LM Konstantinidis KT. 2016. The enveomics collection: a toolbox for specialized analyses of microbial genomes and metagenomes. PeerJ Preprints. doi:10.7287/peerj.preprints.1900v1 · DOI
- 10.1093/bioinformatics/btu153 · DOI
- 10.1016/j.jmb.2015.11.006 · DOI
- 10.1002/pro.4519 · DOI
- 10.1093/nar/gku1223 · DOI
- 10.7717/peerj.4320 · DOI
- 10.1137/040608635 · DOI
- 10.1093/bioinformatics/bts252 · DOI
- 10.1093/bioinformatics/btp348 · DOI
- 10.1093/molbev/msu300 · DOI · Paper page
- 10.1093/molbev/mst010 · DOI · Paper page
- 10.1093/nar/gkab301 · DOI
- 10.1093/bioinformatics/btac776 · DOI
- 10.1186/s12859-019-3019-7 · DOI · Paper page
- 10.1093/nar/gkh152 · DOI
- 10.1093/nar/gkab688 · DOI
- 10.1371/journal.pbio.3002083 · DOI
- 10.1093/bioinformatics/btab007 · DOI
- 10.1093/nar/gky425 · DOI
Metadata
- Authors
- Bouderka, F., López-García, P., Deschamps, P., Zhou, Y., Krupovic, M., Gutiérrez-Preciado, A., Ciobanu, M., Bertolino, P., David, G., Moreira, D., & Jardillier, L.
- Affiliations
- Centre National de la Recherche Scientifique (FR)
- Unité d'Ecologie Société et Evolution, CNRS, Université Paris-Saclay, AgroParisTech
- Institut Pasteur, Université Paris Cité, CNRS UMR 6047, Cell Biology and Virology of Archaea Unit
- Corresponding author
- Moreira, David
- Jardillier, Ludwig
- ORCID
- Venue
- mBio
- Publisher
- American Society for Microbiology
- Published
- 2026-04-08
- Volume
- 17
- Issue
- 4
- Pages
- e0002526-e0002526
- ISSN
- 2150-7511 (ISSN-L)
- PMC
- PMC13059738
- OpenAlex
- W7134961109
- Cited by
- 5
- References
- 3
- Citations by year
- 2026: 2
- FWCI
- 6.94
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- mBio (publishedVersion, cc-by)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nc)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- HAL (submittedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- H2020 European Research Council (787904)
- HORIZON EUROPE European Research Council (101141745)
- Agence Nationale de la Recherche (ANR-22-CE02-0012-02, ANR-23-CE02-0016-01)
- Topics
- Life Sciences › Immunology and Microbiology › Virology › Bacteriophages and microbial interactions
- Physical Sciences › Environmental Science › Ecology › Microbial Community Ecology and Physiology
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Microbial metabolism and enzyme function
- Keywords
- Methylophilaceae, epibionts, host specificity, bacterial phages, Caudoviricetes, filamentous phage, suppressor tRNA, reduced genome, freshwater bacteria, new genus and species, viral diversity, host-virus interaction, methanotrophic bacteria, methylotrophic bacteria
- MeSH terms
- Bacteriophages, Fresh Water, Phylogeny, Symbiosis, Sequence Analysis, DNA, Gammaproteobacteria, Host Specificity
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