Cited by 7Evolution and Genetic DynamicsChromosomal and Genetic VariationsRNA and protein synthesis mechanisms

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Recurrent evolution of selfishness from an essential tRNA synthetase in Caenorhabditis tropicalis

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Abstract

No genome on Earth is free of selfish genes. This reflects both their ability to subvert the laws of inheritance and their de novo emergence from host genes. Yet, despite their ubiquity and key role in driving innovation, the mechanisms responsible for their genesis remain largely unexplored. Here we report the discovery of three toxin–antidote elements in the nematode Caenorhabditis tropicalis . Toxin–antidote elements are selfish genes that increase their frequency in populations by poisoning non-carrier individuals. We find that all three novel toxins— klmt-1 , pzl-1 and hyde-1 —arose via gene duplication from fars-3 , an essential subunit of the phenylalanyl tRNA synthetase. Their antidotes—KSS proteins—are rapidly evolving F-box proteins that degrade toxins via the SCF ubiquitin–ligase complex. Our phylogenetic and genomic analyses strongly suggest that the ancestor of all extant KSS antidotes fortuitously acquired affinity for FARS-3, much like ‘self’ proteins are targeted in autoimmune disease. This interaction neutralized the toxicity of future paralogues before it arose (presuppression), allowing otherwise deleterious mutant alleles to persist and ultimately evolve into selfish genes—consistent with the theory of constructive neutral evolution.

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Research works printed but not linked: 72

  1. Widen, S. A. et al. Virus-like transposons cross the species barrier and drive the evolution of genetic incompatibilities. Science 380, eade0705 (2023). · DOI · Paper page
  2. Seidel, H. S., Rockman, M. V. & Kruglyak, L. Widespread genetic incompatibility in C. elegans maintained by balancing selection. Science 319, 589–594 (2008). · DOI
  3. Ben-David, E., Burga, A. & Kruglyak, L. A maternal-effect selfish genetic element in Caenorhabditis elegans. Science 356, 1051–1055 (2017). · DOI
  4. Ben-David, E. et al. Ubiquitous selfish toxin–antidote elements in Caenorhabditisspecies. Curr. Biol. 31, 990–1001.e5 (2021). · DOI
  5. Burga, A., Ben-David, E. & Kruglyak, L. Toxin-antidote elements across the tree of life. Annu. Rev. Genet. 54, 387–415 (2020). · DOI
  6. Noble, L. M. et al. Selfing is the safest sex for Caenorhabditis tropicalis. eLife 10, e62587 (2021). · DOI
  7. Pliota, P. et al. Selfish conflict underlies RNA-mediated parent-of-origin effects. Nature 628, 122–129 (2024). · DOI
  8. Finarov, I., Moor, N., Kessler, N., Klipcan, L. & Safro, M. G. Structure of human cytosolic phenylalanyl-tRNA synthetase: evidence for kingdom-specific design of the active sites and tRNA binding patterns. Structure 18, 343–353 (2010). · DOI
  9. Goldgur, Y. et al. The crystal structure of phenylalanyl-tRNA synthetase from Thermus thermophilus complexed with cognate tRNAPhe. Structure 5, 59–68 (1997). · DOI
  10. LeRoux, M. & Laub, M. T. Toxin–antitoxin systems as phage defense elements. Annu. Rev. Microbiol. 76, 21–43 (2022). · DOI
  11. Yamaguchi, Y., Park, J.-H. & Inouye, M. Toxin–antitoxin systems in Bacteria and Archaea. Annu. Rev. Genet. 45, 61–79 (2011). · DOI
  12. Zheng, J.-X. et al. Ubiquitination-mediated Golgi-to-endosome sorting determines the toxin-antidote duality of fission yeast wtf meiotic drivers. Nat. Commun. 14, 8334 (2023). · DOI
  13. Berube, B. et al. Teosinte Pollen Drive guides maize diversification and domestication by RNAi. Nature 633, 380–388 (2024). · DOI
  14. Holm, L. & Rosenström, P. Dali server: conservation mapping in 3D. Nucleic Acids Res. 38, W545–W549 (2010). · DOI · Paper page
  15. Zheng, N. et al. Structure of the Cul1–Rbx1–Skp1–F boxSkp2 SCF ubiquitin ligase complex. Nature 416, 703–709 (2002). · DOI · Paper page
  16. Willems, A. R., Schwab, M. & Tyers, M. A hitchhiker’s guide to the cullin ubiquitin ligases: SCF and its kin. Biochim. Biophys. Acta Mol. Cell Res. 1695, 133–170 (2004). · DOI
  17. Yamanaka, A. et al. Multiple Skp1-related proteins in Caenorhabditis elegans: diverse patterns of interaction with cullins and F-box proteins. Curr. Biol. 12, 267–275 (2002). · DOI
  18. Nayak, S. et al. the caenorhabditis elegans skp1-related gene family: diverse functions in cell proliferation, morphogenesis, and meiosis. Curr. Biol. 12, 277–287 (2002). · DOI
  19. Blundon, J. M. et al. Skp1 proteins are structural components of the synaptonemal complex in C. elegans. Sci. Adv. 10, eadl4876 (2024). · DOI
  20. Schulman, B. A. et al. Insights into SCF ubiquitin ligases from the structure of the Skp1–Skp2 complex. Nature 408, 381–386 (2000). · DOI
  21. Blumenthal, T. et al. A global analysis of Caenorhabditis elegans operons. Nature 417, 851–854 (2002). · DOI
  22. Kiontke, K. C. et al. A phylogeny and molecular barcodes for Caenorhabditis, with numerous new species from rotting fruits. BMC Evol. Biol. 11, 339 (2011). · DOI
  23. Jorgensen, E. M. & Mango, S. E. The art and design of genetic screens: Caenorhabditis elegans. Nat. Rev. Genet. 3, 356–369 (2002). · DOI
  24. Smith, J. M. & Haigh, J. The hitch-hiking effect of a favourable gene. Genet. Res. 23, 23–35 (1974). · DOI · Paper page
  25. Wang, A., Chen, W. & Tao, S. Genome-wide characterization, evolution, structure, and expression analysis of the F-box genes in Caenorhabditis. BMC Genomics 22, 889 (2021). · DOI
  26. Thomas, J. H. Adaptive evolution in two large families of ubiquitin-ligase adapters in nematodes and plants. Genome Res 16, 1017–1030 (2006). · DOI
  27. Tan, X. et al. Mechanism of auxin perception by the TIR1 ubiquitin ligase. Nature 446, 640–645 (2007). · DOI · Paper page
  28. Hao, B. et al. Structural basis of the Cks1-dependent recognition of p27Kip1 by the SCFSkp2 ubiquitin ligase. Mol. Cell 20, 9–19 (2005). · DOI
  29. Stoltzfus, A. On the possibility of constructive neutral evolution. J. Mol. Evol. 49, 169–181 (1999). · DOI
  30. Gray, M. W., Lukeš, J., Archibald, J. M., Keeling, P. J. & Doolittle, W. F. Irremediable complexity?. Science 330, 920–921 (2010). · DOI
  31. Koonin, E. V. Splendor and misery of adaptation, or the importance of neutral null for understanding evolution. BMC Biol. 14, 114 (2016). · DOI
  32. Britton, C. S., Sorrells, T. R. & Johnson, A. D. Protein-coding changes preceded cis-regulatory gains in a newly evolved transcription circuit. Science 367, 96–100 (2020). · DOI
  33. Finnigan, G. C., Hanson-Smith, V., Stevens, T. H. & Thornton, J. W. Evolution of increased complexity in a molecular machine. Nature 481, 360–364 (2012). · DOI
  34. Schulz, L. et al. Evolution of increased complexity and specificity at the dawn of form I Rubiscos. Science 378, 155–160 (2022). · DOI
  35. Xie, D. et al. A newborn F-box gene blocks gene flow by selectively degrading phosphoglucomutase in species hybrids. Proc. Natl Acad. Sci. USA 121, e2418037121 (2024). · DOI
  36. Seidel, H. S. et al. A novel sperm-delivered toxin causes late-stage embryo lethality and transmission ratio distortion in C. elegans. PLoS Biol. 9, e1001115 (2011). · DOI
  37. Vasudevan, S., Starostina, N. G. & Kipreos, E. T. The Caenorhabditis elegans cell-cycle regulator ZYG-11 defines a conserved family of CUL-2 complex components. EMBO Rep. 8, 279–286 (2007). · DOI
  38. Timms, R. T. et al. A glycine-specific N-degron pathway mediates the quality control of protein N-myristoylation. Science 365, eaaw4912 (2019). · DOI
  39. You, S. et al. A toxin-antidote system contributes to interspecific reproductive isolation in rice. Nat. Commun. 14, 7528 (2023). · DOI
  40. Silva, N. F. & Goring, D. R. Mechanisms of self-incompatibility in flowering plants. CMLS, Cell. Mol. Life Sci. 58, 1988–2007 (2001). · DOI
  41. Xu, G., Ma, H., Nei, M. & Kong, H. Evolution of F-box genes in plants: different modes of sequence divergence and their relationships with functional diversification. Proc. Natl Acad. Sci. USA 106, 835–840 (2009). · DOI
  42. Ma, F., Lau, C. Y. & Zheng, C. Large genetic diversity and strong positive selection in F-box and GPCR genes among the wild isolates of Caenorhabditis elegans. Genome Biol. Evolution 13, evab048 (2021). · DOI
  43. Bakowski, M. A. et al. Ubiquitin-mediated response to microsporidia and virus infection in C. elegans. PLoS Pathog. 10, e1004200 (2014). · DOI
  44. Chen, K., Franz, C. J., Jiang, H., Jiang, Y. & Wang, D. An evolutionarily conserved transcriptional response to viral infection in Caenorhabditis nematodes. BMC Genomics 18, 303 (2017). · DOI
  45. Zhao, Y. et al. The F-box protein OsFBX156 positively regulates rice defence against the blast fungus Magnaporthe oryzaeby mediating ubiquitination-dependent degradation of OsHSP71.1. Mol. Plant Pathol. 25, e13459 (2024). · DOI
  46. Koonin, E. V., Makarova, K. S., Wolf, Y. I. & Krupovic, M. Evolutionary entanglement of mobile genetic elements and host defence systems: guns for hire. Nat. Rev. Genet. 21, 119–131 (2020). · DOI
  47. Ghanta, K. S. & Mello, C. C. Melting dsDNA donor molecules greatly improves precision genome editing in Caenorhabditis elegans. Genetics 216, 643–650 (2020). · DOI
  48. Stevenson, Z. C., Moerdyk-Schauwecker, M. J., Jamison, B. & Phillips, P. C. Rapid self-selecting and clone-free integration of transgenes into engineered CRISPR safe harbor locations in Caenorhabditis elegans. G3 (Bethesda) 10, 3775–3782 (2020). · DOI
  49. Brenner, S. The genetics of Caenorhabditis elegans. Genetics 77, 71–94 (1974). · DOI
  50. Crombie, T. A. et al. CaeNDR, the Caenorhabditis Natural Diversity Resource. Nucleic Acids Res. 52, D850–D858 (2024). · DOI
  51. Green, M. R. & Sambrook, J. Molecular Cloning: A Laboratory Manual (Cold Spring Harbor Laboratory Press, 2012).
  52. Bray, N. L., Pimentel, H., Melsted, P. & Pachter, L. Near-optimal probabilistic RNA-seq quantification. Nat. Biotechnol. 34, 525–527 (2016). · DOI · Paper page
  53. Love, M. I., Huber, W. & Anders, S. Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2. Genome Biol. 15, 550 (2014). · DOI · Paper page
  54. Kim, D. et al. Graph-based genome alignment and genotyping with HISAT2 and HISAT-genotype. Nat. Biotechnol.37, 907–915 (2019). · DOI · Paper page
  55. Hahne, F. & Ivanek, R. in Statistical Genomics: Methods and Protocols (eds Mathé, E. & Davis, S.) 335–351 (Springer, 2016); https://doi.org/10.1007/978-1-4939-3578-9_16 · DOI
  56. Neuhold, J. et al. GoldenBac: a simple, highly efficient, and widely applicable system for construction of multi-gene expression vectors for use with the baculovirus expression vector system. BMC Biotech. 20, 26 (2020). · DOI
  57. Dorfer, V. et al. MS Amanda, a universal identification algorithm optimized for high accuracy tandem mass spectra. J. Proteome Res 13, 3679–3684 (2014). · DOI
  58. Käll, L., Canterbury, J. D., Weston, J., Noble, W. S. & MacCoss, M. J. Semi-supervised learning for peptide identification from shotgun proteomics datasets. Nat. Methods 4, 923–925 (2007). · DOI · Paper page
  59. Taus, T. et al. Universal and confident phosphorylation site localization using phosphoRS. J. Proteome Res. 10, 5354–5362 (2011). · DOI
  60. Doblmann, J. et al. apQuant: accurate label-free quantification by quality filtering. J. Proteome Res. 18, 535–541 (2019).
  61. Smyth, G. K. Linear models and empirical Bayes methods for assessing differential expression in microarray experiments. Stat. Appl. Genet. Mol. Biol. 3, Article3 (2004). · DOI · Paper page
  62. Kumar, S., Koutsovoulos, G., Kaur, G. & Blaxter, M. Toward 959 nematode genomes. Worm 1, 42–50 (2012). · DOI
  63. Teterina, A. A., Willis, J. H. & Phillips, P. C. Chromosome-level assembly of the Caenorhabditis remaneigenome reveals conserved patterns of nematode genome organization. Genetics 214, 769–780 (2020). · DOI
  64. Teterina, A. A., Willis, J. H., Baer, C. F. & Phillips, P. C. Pervasive conservation of intron number and other genetic elements revealed by a chromosome-level genomic assembly of the hyper-polymorphic nematode Caenorhabditis brenneri. Genome Biol. Evol. 17, evaf037 (2025). · DOI
  65. Kanzaki, N. et al. Biology and genome of a newly discovered sibling species of Caenorhabditis elegans. Nat. Commun. 9, 3216 (2018). · DOI
  66. Howe, K. L., Bolt, B. J., Shafie, M., Kersey, P. & Berriman, M. WormBase ParaSite—a comprehensive resource for helminth genomics. Mol. Biochem. Parasitol. 215, 2–10 (2017). · DOI
  67. Sternberg, P. W. et al. WormBase 2024: status and transitioning to Alliance infrastructure. Genetics 227, iyae050 (2024). · DOI
  68. Mészáros, B., Erdős, G. & Dosztányi, Z. IUPred2A: context-dependent prediction of protein disorder as a function of redox state and protein binding. Nucleic Acids Res. 46, W329–W337 (2018). · DOI
  69. 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
  70. 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). · DOI · Paper page
  71. Mirdita, M. et al. ColabFold: making protein folding accessible to all. Nat. Methods 19, 679–682 (2022). · DOI · Paper page
  72. 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
Tikanova, P., Ross, J. J., Hagmüller, A., Pühringer, F., Pliota, P., Krogull, D., Stefania, V., Hunold, M., Koreshova, A., Koller, A., Ostapchuk, I., Okweri, J., Gokcezade, J., Duchek, P., Dong, G., Ben-David, E., & Burga, A.
Affiliations
  • Institute of Molecular Biotechnology (AT)
  • Max Perutz Labs (AT)
Corresponding author
Burga, Alejandro
Venue
Nature Ecology & Evolution
Published
2025-11-17
Volume
9
Issue
12
Pages
2374-2390
ISSN
2397-334X (ISSN-L)
OpenAlex
W4416299124
Cited by
7
References
6
Citations by year
2026: 4 · 2025: 1
FWCI
2.94
Type
journal article
Language
en
Open access
Locations
  • Nature Ecology & Evolution (publishedVersion, cc-by)
  • bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nc-nd)
  • PubMed (publishedVersion)
  • PubMed Central (publishedVersion, cc-by)
Funders
  • Österreichischen Akademie der Wissenschaften
  • Austrian Science Fund
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Evolution and Genetic Dynamics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Chromosomal and Genetic Variations
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA and protein synthesis mechanisms
Keywords
selfish genes, toxin-antidote system, phenylalanyl-tRNA synthetase, gene duplication, F-box protein, SCF ubiquitin ligase, parasexuality, autoimmune disease
MeSH terms
Animals, Caenorhabditis, Phenylalanine-tRNA Ligase, Phylogeny, Evolution, Molecular, Gene Duplication

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