Abstract
Evolutionary arms races between cells and viruses drive the rapid diversification of antiviral genes in diverse life forms. Recent discoveries have revealed the existence of immune genes that are shared between prokaryotes and eukaryotes and show molecular and mechanistic similarities in their response to viruses. However, the evolutionary dynamics underlying the conservation and adaptation of these antiviral genes remain mostly unexplored. Here, we show that viperins constitute a highly conserved family of immune genes across diverse prokaryotes and eukaryotes and identify mechanisms by which they diversified in eukaryotes. Our findings indicate that viperins are enriched in Asgard archaea and widely distributed in all major eukaryotic clades, suggesting their presence in the last eukaryotic common ancestor and their acquisition in eukaryotes from an archaeal lineage. We show that viperins maintain their immune function by producing antiviral nucleotide analogues and demonstrate that eukaryotic viperins diversified through serial innovations on the viperin gene, such as the emergence and selection of substrate specificity towards pyrimidine nucleotides, and through partnerships with genes maintained through genetic linkage, notably with nucleotide kinases. These findings unveil biochemical and genomic transitions underlying the adaptation of immune genes shared by prokaryotes and eukaryotes. Our study paves the way for further understanding of the conservation of immunity across domains of life.
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Data availability
Data used for this study are available here: https://github.com/mdmparis/viperins_evolution_2023 (ref. 68). Source data are provided with this paper.
References
Krupovic, M., Dolja, V. V. & Koonin, E. V. The virome of the last eukaryotic common ancestor and eukaryogenesis. Nat. Microbiol. 8, 1008–1017 (2023).
Krupovic, M., Dolja, V. V. & Koonin, E. V. The LUCA and its complex virome. Nat. Rev. Microbiol. 18, 661–670 (2020).
Bernheim, A. & Sorek, R. The pan-immune system of bacteria: antiviral defence as a community resource. Nat. Rev. Microbiol. 18, 113–119 (2020).
Litman, G. W., Rast, J. P. & Fugmann, S. D. The origins of vertebrate adaptive immunity. Nat. Rev. Immunol. 10, 543–553 (2010).
Liu, G., Zhang, H., Zhao, C. & Zhang, H. Evolutionary history of the toll-like receptor gene family across vertebrates. Genome Biol. Evol. 12, 3615–3634 (2020).
Iwama, R. E. & Moran, Y. Origins and diversification of animal innate immune responses against viral infections. Nat. Ecol. Evol. 7, 182–193 (2023).
tenOever, B. R. The evolution of antiviral defense systems. Cell Host Microbe 19, 142–149 (2016).
Liu, Y., Zhang, Y.-M., Tang, Y., Chen, J.-Q. & Shao, Z.-Q. The evolution of plant NLR immune receptors and downstream signal components. Curr. Opin. Plant Biol. 73, 102363 (2023).
Green, T. J. & Speck, P. Antiviral defense and innate immune memory in the oyster. Viruses 10, 1378511 (2018).
McDougal, M. B., Boys, I. N., Cruz-Rivera, P. D. L. & Schoggins, J. W. Evolution of the interferon response: lessons from ISGs of diverse mammals. Curr. Opin. Virol. 53, 101202 (2022).
Wein, T. & Sorek, R. Bacterial origins of human cell-autonomous innate immune mechanisms. Nat. Rev. Immunol. https://doi.org/10.1038/s41577-022-00705-4 (2022).
Morehouse, B. R. et al. STING cyclic dinucleotide sensing originated in bacteria. Nature 586, 429–433 (2020).
Cohen, D. et al. Cyclic GMP-AMP signalling protects bacteria against viral infection. Nature 574, 691–695 (2019).
Ofir, G. et al. Antiviral activity of bacterial TIR domains via immune signalling molecules. Nature 600, 116–120 (2021).
Rousset, F. et al. A conserved family of immune effectors cleaves cellular ATP upon viral infection. Cell 186, 3619–3631.e13 (2023).
Gao, L. A. et al. Prokaryotic innate immunity through pattern recognition of conserved viral proteins. Science 377, eabm4096 (2022).
Cury, J. et al. Conservation of antiviral systems across domains of life reveals novel immune mechanisms in humans. Preprint at bioRxiv https://doi.org/10.1101/2022.12.12 (2022).
Rivera-Serrano, E. E. et al. Viperin reveals its true function. Annu. Rev. Virol. 7, 421–446 (2020).
Gizzi, A. S. et al. A naturally occurring antiviral ribonucleotide encoded by the human genome. Nature 558, 610–614 (2018).
Bernheim, A. et al. Prokaryotic viperins produce diverse antiviral molecules. Nature 589, 120–124 (2021).
Lachowicz, J. C., Gizzi, A. S., Almo, S. C. & Grove, T. L. Structural insight into the substrate scope of viperin and viperin-like enzymes from three domains of life. Biochemistry https://doi.org/10.1021/acs.biochem.0c00958 (2021).
Fenwick, M. K., Su, D., Dong, M., Lin, H. & Ealick, S. E. Structural basis of the substrate selectivity of viperin. Biochemistry 59, 652–662 (2020).
Fenwick, M. K., Li, Y., Cresswell, P., Modis, Y. & Ealick, S. E. Structural studies of viperin, an antiviral radical SAM enzyme. Proc. Natl Acad. Sci. USA 114, 6806–6811 (2017).
Zaremba-Niedzwiedzka, K. et al. Asgard archaea illuminate the origin of eukaryotic cellular complexity. Nature 541, 353–358 (2017).
Tesson, F. et al. Systematic and quantitative view of the antiviral arsenal of prokaryotes. Nat. Commun. 13, 2561 (2022).
Eme, L. et al. Inference and reconstruction of the heimdallarchaeial ancestry of eukaryotes. Nature 618, 992–999 (2023).
Liu, Y. et al. Expanded diversity of Asgard archaea and their relationships with eukaryotes. Nature 593, 553–557 (2021).
Wu, F. et al. Unique mobile elements and scalable gene flow at the prokaryote–eukaryote boundary revealed by circularized Asgard archaea genomes. Nat. Microbiol. https://doi.org/10.1038/s41564-021-01039-y (2022).
Jumper, J. et al. Highly accurate protein structure prediction with AlphaFold. Nature 596, 583–589 (2021).
Shujairi, W.-H. A. et al. Viperin is anti-viral in vitro but is dispensable for restricting dengue virus replication or induction of innate and inflammatory responses in vivo. J. Gen. Virol. 102, 001669 (2021).
Shomar Monges, H., Sorek, R., Noda Garcia, L., Machlenkin, A. & Sperandio, D. Anti-viral and anti-tumoral compounds. Patent WO/2022/038539 (2022).
Hinson, E. R. & Cresswell, P. The N-terminal amphipathic alpha-helix of viperin mediates localization to the cytosolic face of the endoplasmic reticulum and inhibits protein secretion. J. Biol. Chem. 284, 4705–4712 (2009).
Inoue, T. & Tsai, B. How viruses use the endoplasmic reticulum for entry, replication, and assembly. Cold Spring Harb. Perspect. Biol. 5, a013250 (2013).
Zhu, M. et al. CMPK2 is a host restriction factor that inhibits infection of multiple coronaviruses in a cell-intrinsic manner. PLoS Biol. 21, e3002039 (2023).
Lawrence, J. G. Shared strategies in gene organization among prokaryotes and eukaryotes. Cell 110, 407–413 (2002).
Dumbrepatil, A. B. et al. Viperin interacts with the kinase IRAK1 and the E3 ubiquitin ligase TRAF6, coupling innate immune signaling to antiviral ribonucleotide synthesis. J. Biol. Chem. 294, 6888–6898 (2019).
Patel, A. M. & Marsh, E. N. G. The antiviral enzyme, viperin, activates protein ubiquitination by the E3 ubiquitin ligase, TRAF6. JACS 143, 4910–4914 (2021).
Pawlak, J. B. et al. CMPK2 restricts Zika virus replication by inhibiting viral translation. PLoS Pathog. 19, e1011286 (2023).
Leão, P. et al. Asgard archaea defense systems and their roles in the origin of eukaryotic immunity. Preprint at bioRxiv https://doi.org/10.1101/2023.09.13.557551 (2024).
Slavik, K. M. et al. cGAS-like receptors sense RNA and control 3′2′-cGAMP signalling in Drosophila. Nature 597, 109–113 (2021).
Li, Y. et al. cGLRs are a diverse family of pattern recognition receptors in innate immunity. Cell 186, 3261–3276.e20 (2023).
Culbertson, E. M. & Levin, T. C. Eukaryotic CD-NTase, STING, and viperin proteins evolved via domain shuffling, horizontal transfer, and ancient inheritance from prokaryotes. PLoS Biol. 21, e3002436 (2023).
Yeaman, S. Genomic rearrangements and the evolution of clusters of locally adaptive loci. Proc. Natl Acad. Sci. USA 110, E1743–E1751 (2013).
Yeaman, S. Evolution of polygenic traits under global vs local adaptation. Genetics 220, iyab134 (2022).
Doron, S. et al. Systematic discovery of antiphage defense systems in the microbial pangenome. Science 359, eaar4120 (2018).
Abby, S. S., Néron, B., Ménager, H., Touchon, M. & Rocha, E. P. C. MacSyFinder: a program to mine genomes for molecular systems with an application to CRISPR-Cas systems. PLoS ONE 9, e110726 (2014).
Parks, D. H. et al. GTDB: an ongoing census of bacterial and archaeal diversity through a phylogenetically consistent, rank normalized and complete genome-based taxonomy. Nucleic Acids Res. 50, D785–D794 (2022).
Eddy, S. R. Accelerated profile HMM searches. PLoS Comput. Biol. 7, e1002195 (2011).
Minh, B. Q. et al. IQ-TREE 2: new models and efficient methods for phylogenetic inference in the genomic era. Mol. Biol. Evol. 37, 1530–1534 (2020).
Fu, L., Niu, B., Zhu, Z., Wu, S. & Li, W. CD-HIT: accelerated for clustering the next-generation sequencing data. Bioinformatics 28, 3150–3152 (2012).
Nakamura, T., Yamada, K. D., Tomii, K. & Katoh, K. Parallelization of MAFFT for large-scale multiple sequence alignments. Bioinformatics 34, 2490–2492 (2018).
Richter, D. J. et al. EukProt: a database of genome-scale predicted proteins across the diversity of eukaryotes. Peer Community J. 2, e56 (2022).
Capella-Gutiérrez, S., Silla-Martínez, J. M. & Gabaldón, T. trimAl: a tool for automated alignment trimming in large-scale phylogenetic analyses. Bioinformatics 25, 1972–1973 (2009).
Menardo, F. et al. Treemmer: a tool to reduce large phylogenetic datasets with minimal loss of diversity. BMC Bioinformatics 19, 164 (2018).
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).
Letunic, I. & Bork, P. Interactive Tree Of Life (iTOL) v5: an online tool for phylogenetic tree display and annotation. Nucleic Acids Res. 49, W293–W296 (2021).
Mirdita, M. et al. ColabFold: making protein folding accessible to all. Nat. Methods 19, 679–682 (2022).
Berman, H. M. et al. The Protein Data Bank. Nucleic Acids Res. 28, 235–242 (2000).
Pei, J., Kim, B.-H. & Grishin, N. V. PROMALS3D: a tool for multiple protein sequence and structure alignments. Nucleic Acids Res. 36, 2295–2300 (2008).
Hsiao, J. J., Potter, O. G., Chu, T. W. & Yin, H. Improved LC/MS methods for the analysis of metal-sensitive analytes using medronic acid as a mobile phase additive. Anal. Chem. 90, 9457–9464 (2018).
Hunsucker, S. A., Mitchell, B. S. & Spychala, J. The 5′-nucleotidases as regulators of nucleotide and drug metabolism. Pharmacol. Ther. 107, 1–30 (2005).
Price, M. N., Dehal, P. S. & Arkin, A. P. FastTree 2 – approximately maximum-likelihood trees for large alignments. PLoS ONE 5, e9490 (2010).
Wang, H.-C., Minh, B. Q., Susko, E. & Roger, A. J. Modeling site heterogeneity with posterior mean site frequency profiles accelerates accurate phylogenomic estimation. Syst. Biol. 67, 216–235 (2018).
Beitz, E. TeXshade: shading and labeling of multiple sequence alignments using LaTeX2e. Bioinformatics 16, 135–139 (2000).
Almagro Armenteros, J. J. et al. Detecting sequence signals in targeting peptides using deep learning. Life Sci. Alliance 2, e201900429 (2019).
Steinegger, M. et al. HH-suite3 for fast remote homology detection and deep protein annotation. BMC Bioinformatics 20, 473 (2019).
Galperin, M. Y. et al. COG database update: focus on microbial diversity, model organisms, and widespread pathogens. Nucleic Acids Res. 49, D274–D281 (2021).
mdmparis / viperins_evolution_2023. GitHub https://github.com/mdmparis/viperins_evolution_2023 (2023).
Acknowledgements
We thank members of the MDM laboratory, E. Rocha, T. Wein and B. Morehouse for useful comments on earlier versions of the manuscript. Several bioinformatic analyses were performed on the Core Cluster of the Institut Français de Bioinformatique (ANR-11-INBS-0013). To promote gender equality and inclusivity in research, we are convinced of the importance of acknowledging gender bias in research article citation. Using a custom script available at https://github.com/mdmparis/Estimating_gender_bias_in_references, we estimated that among the 67 references cited in the main text, approximately 24% (16) have a female first author and approximately 10% (seven) have a female last author. H.G., F.T., M.G., H.S. and A.B. are supported by the CRI Research Fellowship to A.B. from the Bettencourt Schueller Foundation, the ATIP-Avenir programme from INSERM (R21042KS/RSE22002KSA), the Emergence programme from the University of Paris-Cité (RSFVJ21IDXB6_DANA) and an ERC Starting Grant (no. PECAN 101040529). H.S. received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement no 945298-ParisRegionFP. Y.F. is supported by ZJU-HIC start-up grants. F.W. is supported by a National Science Foundation of China grant (no. 32370003).
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Y.F. and F.T. performed computational analyses for detection of antiphage defence systems in archaeal genomes. Y.F., J.C., F.T., H.S., H.G. and F.W. performed computational analyses related to viperin detection and phylogeny. F.W. provided AsgVip plasmids. H.S. and H.G. constructed strains and performed all experiments with assistance from B.O. and M.G. H.S. analysed mass spectrometry data, performed structural analyses and designed mutated viperins. H.S. and H.G. performed computational analyses of N-terminal tails, H.G. performed analyses of viperin-fused domains, and Y.F. and J.C. performed computational analyses of viperin-associated nucleotide kinases. F.W. and A.B. supervised the project. H.S., H.G., F.W. and A.B. wrote the manuscript. All authors contributed to the review of the manuscript and provided final approval of the work.
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H.G. is employed by Generare Bioscience. The other authors declare no competing interests.
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Shomar, H., Georjon, H., Feng, Y. et al. Viperin immunity evolved across the tree of life through serial innovations on a conserved scaffold. Nat Ecol Evol 8, 1667–1679 (2024). https://doi.org/10.1038/s41559-024-02463-z
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DOI: https://doi.org/10.1038/s41559-024-02463-z
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