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Convergent evolution of viral-like Borg archaeal extrachromosomal elements and giant eukaryotic viruses
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Abstract
Borgs are huge extrachromosomal elements of anaerobic methane-oxidizing archaea. They exist in exceedingly complex microbiomes, lack cultivated hosts and have few protein functional annotations, precluding their classification as plasmids, viruses or other. Here, we use in silico structure prediction methods to investigate potential roles for ~10,000 Borg proteins. Prioritizing analysis of multicopy genes that could signal importance for Borg lifestyles, we uncover highly represented de-ubiquitination-like Zn-metalloproteases that may counter host targeting of Borg proteins for proteolysis. Also prevalent are clusters of multicopy genes for production of diverse glycoconjugates that could contribute to decoration of the host cell surface, or of putative capsid proteins that we predict multimerize into pentagonal and hexagonal arrays. Features including megabase-scale linear genomes with inverted terminal repeats, genomic repertoires for energy metabolism, central carbon compound transformations and translation, and pervasive direct repeat regions are shared with giant viruses of eukaryotes, although analyses suggest that these parallels arose via convergent evolution. If Borgs are giant archaeal viruses they would fill the gap in the tri(um)virate of giant viruses of all three domains of life.
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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
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“13, predicted heterodimer of adjacent encoded Amethyst Borg histone-like proteins have ipTM values of ~ 0.86 for all models) are encoded towards the end of the large replichore or within the small replichore (Supplementary Data 19).”
InfluentialHighly accurate protein structure prediction for the human proteome
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Fast and accurate protein structure search with Foldseek
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Complex archaea that bridge the gap between prokaryotes and eukaryotes
Spang, A., Saw, J. H., Jørgensen, S. L., Zaremba-Niedzwiedzka, K., Martijn, J., Lind, A. E., van Eijk, R., Schleper, C., Guy, L., & Ettema, T. J. G. (2015) · Nature · doi:10.1038/nature14447 · Cited by 1,324
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Metadata
- Authors
- Banfield, J. F., Valentin-Alvarado, L. E., Shi, L.-D., Robinson, C. M., Bamert, R. S., Coulibaly, F., Barth, Z. K., Aylward, F. O., Schoelmerich, M. C., Lei, S., Sachdeva, R., & Knott, G. J.
- Affiliations
- Innovative Genomics Institute (US)
- University of California, Berkeley (US)
- Monash University (AU)
- Virginia Tech (US)
- ETH Zurich (CH)
- Corresponding author
- Banfield, Jillian F.
- Knott, Gavin J.
- ORCID
- Venue
- Nature Communications
- Published
- 2025-11-27
- Volume
- 16
- Issue
- 1
- Pages
- 10641-10641
- ISSN
- 2041-1723 (ISSN-L)
- PMC
- PMC12660748
- OpenAlex
- W4416758670
- Cited by
- 4
- References
- 5
- Citations by year
- 2026: 2 · 2025: 2
- FWCI
- 2.12
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Nature Communications (publishedVersion, cc-by)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed (publishedVersion)
- PubMed Central (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- National Institute of General Medical Sciences (R35GM147290)
- Topics
- Life Sciences › Immunology and Microbiology › Virology › Bacteriophages and microbial interactions
- Life Sciences › Immunology and Microbiology › Virology › Plant and Fungal Interactions Research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
- Keywords
- giant viruses, convergent evolution, anaerobic methane-oxidizing archaea, archaeal viruses, deubiquitination, multi-copy genes, glycoconjugates, capsid protein, inverted terminal repeats, direct repeat region, energy metabolism genes, translation genes
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