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Borg extrachromosomal elements of methane-oxidizing archaea have conserved and expressed genetic repertoires
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Abstract
Borgs are huge extrachromosomal elements (ECE) of anaerobic methane-consuming “ Candidatus Methanoperedens” archaea. Here, we used nanopore sequencing to validate published complete genomes curated from short reads and to reconstruct new genomes. 13 complete and four near-complete linear genomes share 40 genes that define a largely syntenous genome backbone. We use these conserved genes to identify new Borgs from peatland soil and to delineate Borg phylogeny, revealing two major clades. Remarkably, Borg genes encoding nanowire-like electron-transferring cytochromes and cell surface proteins are more highly expressed than those of host Methanoperedens , indicating that Borgs augment the Methanoperedens activity in situ. We reconstructed the first complete 4.00 Mbp genome for a Methanoperedens that is inferred to be a Borg host and predicted its methylation motifs, which differ from pervasive TC and CC methylation motifs of the Borgs. Thus, methylation may enable Methanoperedens to distinguish their genomes from those of Borgs. Very high Borg to Methanoperedens ratios and structural predictions suggest that Borgs may be capable of encapsulation. The findings clearly define Borgs as a distinct class of ECE with shared genomic signatures, establish their diversification from a common ancestor with genetic inheritance, and raise the possibility of periodic existence outside of host cells.
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Flagged first, then by citations
Research works printed but not linked: 67
- Al-Shayeb, B. et al. Borgs are giant genetic elements with potential to expand metabolic capacity. Nature 610, 731–736 (2022). · DOI
- Chen, L.-X., Anantharaman, K., Shaiber, A., Eren, A. M. & Banfield, J. F. Accurate and complete genomes from metagenomes. Genome Res. 30, 315–333 (2020). · DOI · Paper page
- Haroon, M. F. et al. Anaerobic oxidation of methane coupled to nitrate reduction in a novel archaeal lineage. Nature 500, 567–570 (2013). · DOI
- Arshad, A. et al. A metagenomics-based metabolic model of nitrate-dependent anaerobic oxidation of methane by methanoperedens-like archaea. Front. Microbiol. 6, 1423 (2015). · DOI
- McIlroy, S. J. et al. Anaerobic methanotroph “Candidatus Methanoperedens nitroreducens” has a pleomorphic life cycle. Nat. Microbiol. https://doi.org/10.1038/s41564-022-01292-9. (2023). · DOI
- Schoelmerich, M. C., Sachdeva, R., West-Roberts, J., Waldburger, L. & Banfield, J. F. Tandem repeats in giant archaeal Borg elements undergo rapid evolution and create new intrinsically disordered regions in proteins. PLoS Biol. 21, e3001980 (2023). · DOI
- van der Lee, R. et al. Classification of intrinsically disordered regions and proteins. Chem. Rev. 114, 6589–6631 (2014). · DOI
- Jankevicius, G., Ariza, A., Ahel, M. & Ahel, I. The toxin-antitoxin system DarTG catalyzes reversible ADP-ribosylation of DNA. Mol. Cell 64, 1109–1116 (2016). · DOI
- Weller, S. K. & Coen, D. M. Herpes simplex viruses: mechanisms of DNA replication. Cold Spring Harb. Perspect. Biol. 4, a013011 (2012). · DOI
- Burroughs, A. M., Zhang, D., Schäffer, D. E., Iyer, L. M. & Aravind, L. Comparative genomic analyses reveal a vast, novel network of nucleotide-centric systems in biological conflicts, immunity and signaling. Nucleic Acids Res. 43, 10633–10654 (2015). · DOI
- Amitsur, M., Levitz, R. & Kaufmann, G. Bacteriophage T4 anticodon nuclease, polynucleotide kinase and RNA ligase reprocess the host lysine tRNA. EMBO J. 6, 2499–2503 (1987). · DOI
- Griffith, E. C. et al. Ureadepsipeptides as ClpP activators. ACS Infect. Dis. 5, 1915–1925 (2019). · DOI
- Boccitto, M. & Wolin, S. L. Ro60 and Y RNAs: structure, functions, and roles in autoimmunity. Crit. Rev. Biochem. Mol. Biol. 54, 133–152 (2019). · DOI
- Liang, Q. et al. Structure and activity of a bacterial defense-associated 3’−5’ exonuclease. Protein Sci. 31, e4374 (2022). · DOI
- Fromme, J. C. & Verdine, G. L. Structure of a trapped endonuclease III-DNA covalent intermediate. EMBO J. 22, 3461–3471 (2003). · DOI
- Wang, P., Selvadurai, K. & Huang, R. H. Reconstitution and structure of a bacterial Pnkp1-Rnl-Hen1 RNA repair complex. Nat. Commun. 6, 6876 (2015). · DOI
- Bailly, V., Sung, P., Prakash, L. & Prakash, S. DNA.RNA helicase activity of RAD3 protein of Saccharomyces cerevisiae. Proc. Natl. Acad. Sci. USA 88, 9712–9716 (1991). · DOI
- Fülöp, A., Béres, R., Tengölics, R., Rákhely, G. & Kovács, K. L. Relationship between PHA and hydrogen metabolism in the purple sulfur phototrophic bacterium Thiocapsa roseopersicina BBS. Int. J. Hydrog. Energy 37, 4915–4924 (2012). · DOI
- Bamford, D. H. et al. Constituents of SH1, a novel lipid-containing virus infecting the halophilic euryarchaeon Haloarcula hispanica. J. Virol. 79, 9097–9107 (2005). · DOI
- Santos-Pérez, I. et al. Structural basis for assembly of vertical single β-barrel viruses. Nat. Commun. 10, 1184 (2019). · DOI
- Nayfach, S. et al. CheckV assesses the quality and completeness of metagenome-assembled viral genomes. Nat. Biotechnol. 39, 578–585 (2021). · DOI
- Camargo, A. P. et al. You can move, but you can’t hide: identification of mobile genetic elements with geNomad. bioRxiv https://doi.org/10.1101/2023.03.05.531206. (2023). · DOI
- Vellani, T. S. & Myers, R. S. Bacteriophage SPP1 Chu is an alkaline exonuclease in the SynExo family of viral two-component recombinases. J. Bacteriol. 185, 2465–2474 (2003). · DOI
- Weidner-Glunde, M., Mariggiò, G. & Schulz, T. F. Kaposi’s sarcoma-associated herpesvirus latency-associated nuclear antigen: replicating and shielding viral DNA during viral persistence. J. Virol. 91, e01083-16 (2017). · DOI
- Grady, L. M. et al. The exonuclease activity of herpes simplex virus 1 UL12 is required for production of viral DNA that can be packaged to produce infectious virus. J. Virol. 91, e01380-17 (2017). · DOI
- Okura, T., Taneno, A. & Oishi, E. Cell-to-cell transmission of turkey herpesvirus in chicken embryo cells via tunneling nanotubes. Avian Dis. 65, 335–339 (2021). · DOI
- Schoelmerich, M. C. et al. A widespread group of large plasmids in methanotrophic Methanoperedens archaea. Nat. Commun. 13, 1–11 (2022). · DOI · Paper page
- Xiang, X. et al. Sulfolobus tengchongensis spindle-shaped virus STSV1: virus-host interactions and genomic features. J. Virol. 79, 8677–8686 (2005). · DOI
- Hoelzer, K., Shackelton, L. A. & Parrish, C. R. Presence and role of cytosine methylation in DNA viruses of animals. Nucleic Acids Res. 36, 2825–2837 (2008). · DOI
- Gu, Y. et al. Structure of Geobacter cytochrome OmcZ identifies mechanism of nanowire assembly and conductivity. Nat. Microbiol. 8, 284–298 (2023). · DOI
- Yalcin, S. E. et al. Electric field stimulates production of highly conductive microbial OmcZ nanowires. Nat. Chem. Biol. 16, 1136–1142 (2020). · DOI
- Wegener, G., Krukenberg, V., Riedel, D., Tegetmeyer, H. E. & Boetius, A. Intercellular wiring enables electron transfer between methanotrophic archaea and bacteria. Nature 526, 587–590 (2015). · DOI
- Baquero, D. P. et al. Extracellular cytochrome nanowires appear to be ubiquitous in prokaryotes. Cell 186, 2853–2864.e8 (2023). · DOI
- Ouboter, H. T. et al. Mechanisms of extracellular electron transfer in anaerobic methanotrophic archaea. Nat. Commun. 15, 1477 (2024). · DOI
- Wilson, R. M. et al. Soil metabolome response to whole-ecosystem warming at the spruce and peatland responses under changing environments experiment. Proc. Natl. Acad. Sci. USA. 118, e2004192118 (2021). · DOI
- Bushnell, B. BBMap: a fast, accurate, splice-aware aligner. https://www.osti.gov/biblio/1241166-bbmap-fast-accurate-splice-aware-aligner (2014).
- Peng, Y., Leung, H. C. M., Yiu, S. M. & Chin, F. Y. L. IDBA-UD: a de novo assembler for single-cell and metagenomic sequencing data with highly uneven depth. Bioinformatics 28, 1420–1428 (2012). · DOI
- Prjibelski, A., Antipov, D., Meleshko, D., Lapidus, A. & Korobeynikov, A. Using SPAdes de novo assembler. Curr. Protoc. Bioinforma. 70, e102 (2020). · DOI · Paper page
- Hyatt, D. et al. Prodigal: prokaryotic gene recognition and translation initiation site identification. BMC Bioinformatics 11, 119 (2010). · DOI
- Edgar, R. C. Search and clustering orders of magnitude faster than BLAST. Bioinformatics 26, 2460–2461 (2010). · DOI
- Wick, R. R., Judd, L. M., Gorrie, C. L. & Holt, K. E. Completing bacterial genome assemblies with multiplex MinION sequencing. Microb. Genom. 3, e000132 (2017).
- Li, H. Minimap2: pairwise alignment for nucleotide sequences. Bioinformatics 34, 3094–3100 (2018). · DOI · Paper page
- Kolmogorov, M. et al. metaFlye: scalable long-read metagenome assembly using repeat graphs. Nat. Methods 17, 1103–1110 (2020). · DOI
- Aury, J.-M. & Istace, B. Hapo-G, haplotype-aware polishing of genome assemblies with accurate reads. NAR Genom. Bioinform. 3, lqab034 (2021). · DOI
- Liao, Y., Smyth, G. K. & Shi, W. featureCounts: an efficient general purpose program for assigning sequence reads to genomic features. Bioinformatics 30, 923–930 (2014). · DOI · Paper page
- Brown, C. T., Olm, M. R., Thomas, B. C. & Banfield, J. F. Measurement of bacterial replication rates in microbial communities. Nat. Biotechnol. 34, 1256–1263 (2016). · DOI
- Mirdita, M., Ovchinnikov, S. & Steinegger, M. ColabFold - Making protein folding accessible to all. bioRxiv https://doi.org/10.1101/2021.08.15.456425. (2021). · DOI · Paper page
- Krissinel, E. & Henrick, K. Secondary-structure matching (SSM), a new tool for fast protein structure alignment in three dimensions. Acta Crystallogr. D. Biol. Crystallogr. 60, 2256–2268 (2004). · DOI
- Steinegger, M. & Söding, J. MMseqs2 enables sensitive protein sequence searching for the analysis of massive data sets. Nat. Biotechnol. 35, 1026–1028 (2017). · DOI · Paper page
- Remmert, M., Biegert, A., Hauser, A. & Söding, J. HHblits: lightning-fast iterative protein sequence searching by HMM-HMM alignment. Nat. Methods 9, 173–175 (2011). · DOI · Paper page
- Söding, J. Protein homology detection by HMM-HMM comparison. Bioinformatics 21, 951–960 (2005). · DOI
- Altschul, S. F., Gish, W., Miller, W., Myers, E. W. & Lipman, D. J. Basic local alignment search tool. J. Mol. Biol. 215, 403–410 (1990). · DOI · Paper page
- Shaffer, M. et al. DRAM for distilling microbial metabolism to automate the curation of microbiome function. Nucleic Acids Res. 48, 8883–8900 (2020). · DOI
- OpenAI. GPT-4 Technical Report. arXiv https://arxiv.org/abs/2303.08774 (2023). · arXiv
- Gilchrist, C. L. M. & Chooi, Y.-H. Clinker & clustermap.js: automatic generation of gene cluster comparison figures. Bioinformatics https://doi.org/10.1093/bioinformatics/btab007. (2021). · DOI
- Finn, R. D. et al. Pfam: the protein families database. Nucleic Acids Res. 42, D222–D230 (2014). · DOI · Paper page
- Quast, C. et al. The SILVA ribosomal RNA gene database project: improved data processing and web-based tools. Nucleic Acids Res. 41, D590–D596 (2013). · DOI · Paper page
- Woodcroft et al. SingleM and Sandpiper: robust microbial taxonomic profiles from metagenomic data. bioRxiv https://www.biorxiv.org/content/10.1101/2024.01.30.578060v1 (2024). · DOI
- Katoh, K. & Standley, D. M. MAFFT multiple sequence alignment software version 7: improvements in performance and usability. Mol. Biol. Evol. 30, 772–780 (2013). · DOI · Paper page
- Criscuolo, A. & Gribaldo, S. BMGE (Block Mapping and Gathering with Entropy): a new software for selection of phylogenetic informative regions from multiple sequence alignments. BMC Evol. Biol. 10, 210 (2010). · DOI
- Nguyen, L.-T., Schmidt, H. A., von Haeseler, A. & Minh, B. Q. IQ-TREE: a fast and effective stochastic algorithm for estimating maximum-likelihood phylogenies. Mol. Biol. Evol. 32, 268–274 (2015). · DOI · Paper page
- Hoang, D. T., Chernomor, O., von Haeseler, A., Minh, B. Q. & Vinh, L. S. UFBoot2: improving the ultrafast bootstrap approximation. Mol. Biol. Evol. 35, 518–522 (2018). · DOI · Paper page
- Letunic, I. & Bork, P. Interactive tree of life (iTOL) v3: an online tool for the display and annotation of phylogenetic and other trees. Nucleic Acids Res. 44, W242–W245 (2016). · DOI
- Kumar, S., Stecher, G., Li, M., Knyaz, C. & Tamura, K. MEGA X: molecular evolutionary genetics analysis across computing platforms. Mol. Biol. Evol. 35, 1547–1549 (2018). · DOI
- Almagro Armenteros, J. J. et al. SignalP 5.0 improves signal peptide predictions using deep neural networks. Nat. Biotechnol. 37, 420–423 (2019). · DOI
- Sievers, F. et al. Fast, scalable generation of high-quality protein multiple sequence alignments using Clustal Omega. Mol. Syst. Biol. 7, 539 (2011). · DOI
- Ashkenazy, H. et al. ConSurf 2016: an improved methodology to estimate and visualize evolutionary conservation in macromolecules. Nucleic Acids Res. 44, W344–W350 (2016). · DOI · Paper page
Metadata
- Authors
- Schoelmerich, M. C., Ly, L., West-Roberts, J., Shi, L.-D., Shen, C., Malvankar, N. S., Taib, N., Gribaldo, S., Woodcroft, B. J., Schadt, C. W., Al-Shayeb, B., Dai, X., Mozsary, C., Hickey, S., He, C., Beaulaurier, J., Juul, S., Sachdeva, R., & Banfield, J. F.
- Affiliations
- ETH Zurich (CH)
- University of California, Berkeley (US)
- Innovative Genomics Institute (US)
- Yale University (US)
- Institut Pasteur (FR)
- Translational Research Institute (AU)
- Oak Ridge National Laboratory (US)
- Corresponding author
- Banfield, Jillian F.
- ORCID
- Venue
- Nature Communications
- Published
- 2024-06-26
- Volume
- 15
- Issue
- 1
- Pages
- 5414-5414
- ISSN
- 2041-1723 (ISSN-L)
- PMC
- PMC11208441
- OpenAlex
- W4400038578
- Cited by
- 14
- References
- 5
- Citations by year
- 2026: 7 · 2025: 3 · 2024: 4
- FWCI
- 1.91
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Nature Communications (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- HAL (submittedVersion, cc-by)
- OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- National Science Foundation (2210473, DEAC05- 00OR22725)
- U.S. Department of Energy (AC05-00OR22725, DE--AC05--00OR22725, DE-AC05?, 00OR22725)
- Bill and Melinda Gates Foundation (INV-037174)
- Battelle (DE-AC05- 00OR22725, DE-AC05)
- Innovative Genomics Institute
- Deutsche Forschungsgemeinschaft (447383558, DE-AC05-00OR22725)
- Agence Nationale de la Recherche
- Australian Research Council (FT210100521)
- Biological and Environmental Research (00OR22725, DE‐AC05–00OR22725)
- Oak Ridge National Laboratory (AC05-00OR22725, DE-AC05-00OR22725)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Microbial metabolism and enzyme function
- Physical Sciences › Environmental Science › Environmental Engineering › Microbial Fuel Cells and Bioremediation
- Keywords
- Borg, extrachromosomal elements, syntenic genes, electron transfer, cell surface proteins, peat soils, host-parasite interactions
- MeSH terms
- Nanopore Sequencing, Archaea, Methane, Oxidation-Reduction, Phylogeny, Soil Microbiology, DNA Methylation, Genome, Archaeal
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