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A swapped genetic code prevents viral infections and gene transfer

Abstract

Engineering the genetic code of an organism has been proposed to provide a firewall from natural ecosystems by preventing viral infections and gene transfer1,2,3,4,5,6. However, numerous viruses and mobile genetic elements encode parts of the translational apparatus7,8,9, potentially rendering a genetic-code-based firewall ineffective. Here we show that such mobile transfer RNAs (tRNAs) enable gene transfer and allow viral replication in Escherichia coli despite the genome-wide removal of 3 of the 64 codons and the previously essential cognate tRNA and release factor genes. We then establish a genetic firewall by discovering viral tRNAs that provide exceptionally efficient codon reassignment allowing us to develop cells bearing an amino acid-swapped genetic code that reassigns two of the six serine codons to leucine during translation. This amino acid-swapped genetic code renders cells resistant to viral infections by mistranslating viral proteomes and prevents the escape of synthetic genetic information by engineered reliance on serine codons to produce leucine-requiring proteins. As these cells may have a selective advantage over wild organisms due to virus resistance, we also repurpose a third codon to biocontain this virus-resistant host through dependence on an amino acid not found in nature10. Our results may provide the basis for a general strategy to make any organism safely resistant to all natural viruses and prevent genetic information flow into and out of genetically modified organisms.

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Fig. 1: Discovery of mobile TCR-codon-translating tRNAs in E. coli Syn61∆3.
Fig. 2: Lytic phages of Syn61∆3.
Fig. 3: An amino acid-swapped genetic code provides multi-virus resistance.
Fig. 4: Addiction of synthetic genetic information to a genetic code in which TCR codons encode leucine prevents HGT.

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Data availability

Raw data from whole-genome sequencing, transcriptome and tRNA-seq experiments have been deposited to the Sequence Read Archive under the BioProject ID PRJNA856259. tRNA data and the generated sequences in this study are included in the Supplementary Data files. Mass spectra and proteome measurements have been deposited to MassIVE (MSV000089854; https://doi.org/10.25345/C5FF3M41W)65. The Syn61Δ3(ev5) ΔrecA (ev1) strain is available from Addgene (bacterial strain no. 189857). We cannot deposit Ec_Syn61∆3-SL and Ec_Syn61∆3 adk.d6 at Addgene owing to the incompatibility of Addgene’s methods of strain distribution and growth medium requirements, but all materials used in this study are freely available from the corresponding authors for academic research use upon request. The PHROG HMM database is available at https://phrogs.lmge.uca.fr and from ref. 51. The assembled annotated genome of E. coli Syn61 substrain Syn61Δ3(ev5) is available in Supplementary Data 4, and the annotated genomes of REP phages have been deposited to NCBI GenBank under the accession numbers OQ174500, OQ174501, OQ174502, OQ174503, OQ174504, OQ174505, OQ174506, OQ174507, OQ174508, OQ174509, OQ174510 and OQ174511. Source data are provided with this paper.

References

  1. Church, G. M. & Regis, E. Regenesis: How Synthetic Biology Will Reinvent Nature and Ourselves (Basic Books, 2014).

  2. Lajoie, M. J. et al. Genomically recoded organisms expand biological functions. Science 342, 357–360 (2013).

    Article  ADS  CAS  PubMed  PubMed Central  Google Scholar 

  3. Ma, N. J. & Isaacs, F. J. Genomic recoding broadly obstructs the propagation of horizontally transferred genetic elements. Cell Syst. 3, 199–207 (2016).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  4. Robertson, W. E. et al. Sense codon reassignment enables viral resistance and encoded polymer synthesis. Science 372, 1057–1062 (2021).

    Article  ADS  CAS  PubMed  PubMed Central  Google Scholar 

  5. Ostrov, N. et al. Design, synthesis, and testing toward a 57-codon genome. Science 353, 819–822 (2016).

    Article  ADS  CAS  PubMed  Google Scholar 

  6. Fujino, T., Tozaki, M. & Murakami, H. An amino acid-swapped genetic code. ACS Synth. Biol. 9, 2703–2713 (2020).

    Article  CAS  PubMed  Google Scholar 

  7. Abrahão, J. et al. Tailed giant Tupanvirus possesses the most complete translational apparatus of the known virosphere. Nat. Commun. 9, 749 (2018).

    Article  ADS  PubMed  PubMed Central  Google Scholar 

  8. Morgado, S. & Vicente, A. C. Global in-silico scenario of tRNA genes and their organization in virus genomes. Viruses 11, 180 (2019).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  9. Al-Shayeb, B. et al. Clades of huge phages from across Earth’s ecosystems. Nature 578, 425–431 (2020).

    Article  ADS  CAS  PubMed  PubMed Central  Google Scholar 

  10. Mandell, D. J. et al. Biocontainment of genetically modified organisms by synthetic protein design. Nature 518, 55–60 (2015).

    Article  ADS  CAS  PubMed  PubMed Central  Google Scholar 

  11. Zou, X. et al. Systematic strategies for developing phage resistant Escherichia coli strains. Nat. Commun. 13, 4491 (2022).

    Article  ADS  CAS  PubMed  PubMed Central  Google Scholar 

  12. Barone, P. W. et al. Viral contamination in biologic manufacture and implications for emerging therapies. Nat. Biotechnol. https://doi.org/10.1038/s41587-020-0507-2 (2020).

  13. Baltz, R. H. Bacteriophage-resistant industrial fermentation strains: from the cradle to CRISPR/Cas9. J. Ind. Microbiol. Biotechnol. 45, 1003–1006 (2018).

    Article  CAS  PubMed  Google Scholar 

  14. Ostrov, N. et al. Synthetic genomes with altered genetic codes. Curr. Opin. Syst. Biol. https://doi.org/10.1016/j.coisb.2020.09.007 (2020).

    Article  Google Scholar 

  15. Fredens, J. et al. Total synthesis of Escherichia coli with a recoded genome. Nature https://doi.org/10.1038/s41586-019-1192-5 (2019).

  16. Yang, J. Y. et al. Degradation of host translational machinery drives tRNA acquisition in viruses. Cell Syst. 12, 771–779 (2021).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  17. Peters, S. L. et al. Experimental validation that human microbiome phages use alternative genetic coding. Nat. Commun. 13, 5710 (2022).

  18. Borges, A. L. et al. Widespread stop-codon recoding in bacteriophages may regulate translation of lytic genes. Nat. Microbiol. 7, 918–927 (2022).

  19. Abe, T. et al. tRNADB-CE 2011: tRNA gene database curated manually by experts. Nucleic Acids Res. 39, D210–D213 (2011).

    Article  CAS  PubMed  Google Scholar 

  20. Alamos, P. et al. Functionality of tRNAs encoded in a mobile genetic element from an acidophilic bacterium. RNA Biol. 15, 518–527 (2018).

    Article  PubMed  Google Scholar 

  21. Santamaría-Gómez, J. et al. Role of a cryptic tRNA gene operon in survival under translational stress. Nucleic Acids Res. 49, 8757–8776 (2021).

    Article  PubMed  PubMed Central  Google Scholar 

  22. Bustamante, P. et al. ICEAfe1, an actively excising genetic element from the biomining bacterium Acidithiobacillus ferrooxidans. J. Mol. Microbiol. Biotechnol. 22, 399–407 (2012).

    CAS  PubMed  Google Scholar 

  23. Bowden, R. J., Simas, J. P., Davis, A. J. & Efstathiou, S. Murine gammaherpesvirus 68 encodes tRNA-like sequences which are expressed during latency. J. Gen. Virol. 78, 1675–1687 (1997).

    Article  CAS  PubMed  Google Scholar 

  24. Maffei, E. et al. Systematic exploration of Escherichia coli phage–host interactions with the BASEL phage collection. PLOS Biol. 19, e3001424 (2021).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  25. Brok-Volchanskaya, V. S. et al. Phage T4 SegB protein is a homing endonuclease required for the preferred inheritance of T4 tRNA gene region occurring in co-infection with a related phage. Nucleic Acids Res. 36, 2094–2105 (2008).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  26. Miles, Z. D., McCarty, R. M., Molnar, G. & Bandarian, V. Discovery of epoxyqueuosine (oQ) reductase reveals parallels between halorespiration and tRNA modification. Proc. Natl Acad. Sci. USA 108, 7368–7372 (2011).

    Article  ADS  CAS  PubMed  PubMed Central  Google Scholar 

  27. Liu, R.-J., Long, T., Zhou, M., Zhou, X.-L. & Wang, E.-D. tRNA recognition by a bacterial tRNA Xm32 modification enzyme from the SPOUT methyltransferase superfamily. Nucleic Acids Res. 43, 7489–7503 (2015).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  28. Schmidt, M. & Kubyshkin, V. How to quantify a genetic firewall? A polarity-based metric for genetic code engineering. ChemBioChem 22, 1268–1284 (2021).

    Article  CAS  PubMed  Google Scholar 

  29. Yang, X.-L. et al. Two conformations of a crystalline human tRNA synthetase–tRNA complex: implications for protein synthesis. EMBO J. 25, 2919–2929 (2006).

  30. Kobayashi, T. et al. Structural basis for orthogonal tRNA specificities of tyrosyl-tRNA synthetases for genetic code expansion. Nat. Struct. Mol. Biol. 10, 425–432 (2003).

    Article  CAS  Google Scholar 

  31. Giege, R., Sissler, M. & Florentz, C. Universal rules and idiosyncratic features in tRNA identity. Nucleic Acids Res. 26, 5017–5035 (1998).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  32. Church, G., Baynes, B. & Pitcher, E. Hierarchical assembly methods for genome engineering. PCT/US2006/001427 Patent application (2007).

  33. Zürcher, J. F. et al. Refactored genetic codes enable bidirectional genetic isolation. Science https://doi.org/10.1126/science.add8943 (2022).

  34. Łoś, J. M., Golec, P., Węgrzyn, G., Węgrzyn, A. & Łoś, M. Simple method for plating Escherichia coli bacteriophages forming very small plaques or no plaques under standard conditions. Appl. Env. Microbiol. 74, 5113–5120 (2008).

    Article  ADS  Google Scholar 

  35. Abedon, S. T. & Yin, J. in Bacteriophages: Methods and Protocols Vol. 1 (eds Clokie, M. R. J. & Kropinski, A. M.) 161–174 https://doi.org/10.1007/978-1-60327-164-6_17 (Humana, 2009).

  36. Serwer, P., Hayes, S. J., Thomas, J. A. & Hardies, S. C. Propagating the missing bacteriophages: a large bacteriophage in a new class. Virology J. 4, 21 (2007).

    Article  Google Scholar 

  37. Wang, J., Yashiro, Y., Sakaguchi, Y., Suzuki, T. & Tomita, K. Mechanistic insights into tRNA cleavage by a contact-dependent growth inhibitor protein and translation factors. Nucleic Acids Res. 50, 4713–4731 (2022).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  38. Tomita, K., Ogawa, T., Uozumi, T., Watanabe, K. & Masaki, H. A cytotoxic ribonuclease which specifically cleaves four isoaccepting arginine tRNAs at their anticodon loops. Proc. Natl Acad. Sci. USA 97, 8278–8283 (2000).

    Article  ADS  CAS  PubMed  PubMed Central  Google Scholar 

  39. Takai, K., Takaku, H. & Yokoyama, S. In vitro codon-reading specificities of unmodified tRNA molecules with different anticodons on the sequence background of Escherichia coli tRNASer1. Biochem. Biophys. Res. Commun. 257, 662–667 (1999).

    Article  CAS  PubMed  Google Scholar 

  40. Takai, K., Okumura, S., Hosono, K., Yokoyama, S. & Takaku, H. A single uridine modification at the wobble position of an artificial tRNA enhances wobbling in an Escherichia coli cell-free translation system. FEBS Lett. https://doi.org/10.1016/S0014-5793(99)00255-0 (1999).

  41. Kunjapur, A. M. et al. Synthetic auxotrophy remains stable after continuous evolution and in coculture with mammalian cells. Sci. Adv. 7, eabf5851 (2021).

    Article  ADS  CAS  PubMed  Google Scholar 

  42. Rovner, A. J. et al. Recoded organisms engineered to depend on synthetic amino acids. Nature 518, 89–93 (2015).

    Article  ADS  CAS  PubMed  PubMed Central  Google Scholar 

  43. Nyerges, Á. et al. A highly precise and portable genome engineering method allows comparison of mutational effects across bacterial species. Proc. Natl Acad. Sci. USA https://doi.org/10.1073/pnas.1520040113 (2016).

  44. Wannier, T. M. et al. Adaptive evolution of genomically recoded Escherichia coli. Proc. Natl Acad. Sci. USA https://doi.org/10.1073/pnas.1715530115 (2018).

  45. Kirchberger, P. C. & Ochman, H. Resurrection of a global, metagenomically defined gokushovirus. eLife 9, e51599 (2020).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  46. Chen, Y. et al. Multiplex base editing to convert TAG into TAA codons in the human genome. Nat. Commun. 13, 4482 (2022).

  47. Boeke, J. D. et al. The Genome Project-Write. Science https://doi.org/10.1126/science.aaf6850 (2016).

  48. Dai, J., Boeke, J. D., Luo, Z., Jiang, S. & Cai, Y. Sc3.0: revamping and minimizing the yeast genome. Genome Biol. 21, 205 (2020).

    Article  PubMed  PubMed Central  Google Scholar 

  49. Bonilla, N. et al. Phage on tap–a quick and efficient protocol for the preparation of bacteriophage laboratory stocks. PeerJ 4, e2261 (2016).

    Article  PubMed  PubMed Central  Google Scholar 

  50. Seemann, T. Prokka: rapid prokaryotic genome annotation. Bioinformatics 30, 2068–2069 (2014).

    Article  CAS  PubMed  Google Scholar 

  51. Terzian, P. et al. PHROG: families of prokaryotic virus proteins clustered using remote homology. NAR Genomics Bioinform. 3, lqab067 (2021).

    Article  Google Scholar 

  52. Langmead, B. & Salzberg, S. L. Fast gapped-read alignment with Bowtie 2. Nat. Methods 9, 357–359 (2012).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  53. Deatherage, D. E. & Barrick, J. E. Identification of mutations in laboratory-evolved microbes from next-generation sequencing data using breseq. Methods Mol. Biol. 1151, 165–188 (2014).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  54. Goodall, E. C. A. et al. The essential genome of Escherichia coli K-12. mBio 9, e02096-17 (2018).

    Article  PubMed  PubMed Central  Google Scholar 

  55. 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).

    Article  PubMed  PubMed Central  Google Scholar 

  56. Jiang, W., Bikard, D., Cox, D., Zhang, F. & Marraffini, L. A. RNA-guided editing of bacterial genomes using CRISPR-Cas systems. Nat. Biotech. 31, 233–239 (2013).

    Article  CAS  Google Scholar 

  57. Umenhoffer, K. et al. Genome-wide abolishment of mobile genetic elements using genome shuffling and CRISPR/Cas-assisted MAGE allows the efficient stabilization of a bacterial chassis. ACS Synth. Biol. 6, 1471–1483 (2017).

    Article  CAS  PubMed  Google Scholar 

  58. Szili, P. et al. Rapid evolution of reduced susceptibility against a balanced dual-targeting antibiotic through stepping-stone mutations. Antimicrob. Agents and Chemother. 63, e00207-19 (2019).

  59. Kunjapur, A. M. et al. Engineering posttranslational proofreading to discriminate nonstandard amino acids. Proc. Natl Acad. Sci. USA 115, 619–624 (2018).

    Article  ADS  CAS  PubMed  PubMed Central  Google Scholar 

  60. Chan, P. P., Lin, B. Y., Mak, A. J. & Lowe, T. M. tRNAscan-SE 2.0: improved detection and functional classification of transfer RNA genes. Nucleic Acids Res. 49, 9077–9096 (2021).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  61. Hossain, A. et al. Automated design of thousands of nonrepetitive parts for engineering stable genetic systems. Nat. Biotechnol. 38, 1466–1475 (2020).

    Article  CAS  PubMed  Google Scholar 

  62. Mohler, K. et al. MS-READ: quantitative measurement of amino acid incorporation. Biochim. Biophys. Acta Gen. Subj. 1861, 3081–3088 (2017).

    Article  CAS  PubMed  Google Scholar 

  63. Wiśniewski, J. R., Zougman, A., Nagaraj, N. & Mann, M. Universal sample preparation method for proteome analysis. Nat. Methods 6, 359–362 (2009).

    Article  PubMed  Google Scholar 

  64. Käll, L., Storey, J. D. & Noble, W. S. Non-parametric estimation of posterior error probabilities associated with peptides identified by tandem mass spectrometry. Bioinformatics 24, i42–i48 (2008).

    Article  PubMed  PubMed Central  Google Scholar 

  65. Nyerges, A. et al. Swapped genetic code block viral infections and gene transfer (MSV000089854). MassIVE https://doi.org/10.25345/C5FF3M41W (2023).

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Acknowledgements

We thank G. Pósfai (Biological Research Centre, Hungary) for sharing MDS42 and J. W. Chin’s team (Medical Research Council Laboratory of Molecular Biology, UK) for sharing Syn61∆3 through Addgene. Financial support for this research was provided by the US Department of Energy under grant DE-FG02-02ER63445 and by National Science Foundation award number 2123243 (both to G.M.C.). M.B. acknowledges support from the NIGMS of the National Institutes of Health (R35GM133700), the David and Lucile Packard Foundation, the Pew Charitable Trusts and the Alfred P. Sloan Foundation. A.N. was supported by the EMBO LTF 160–2019 Long-Term Fellowship. We thank A. Millard’s laboratory for making the PHROG HMM database available for bacteriophage annotation, GenScript USA Inc. for their DNA synthesis support, and D. Snyder, K. Harris and all members of the MiGS, Pittsburgh, PA for their support with DNA and RNA sequencing. We are grateful to T. Wu for support, Y. Shen and S. Yan (Institute of Biochemistry, Beijing Genomics Institute) for collaboration on genome recoding, and B. Hajian for graphical design and help with illustrations.

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Authors and Affiliations

Authors

Contributions

A.N. developed the project, led analyses and wrote the manuscript with input from all authors. A.N. and G.M.C. supervised research. S.V. carried out tRNALeu suppressor screens and sfGFP expression assays, and assisted in the construction of the pLS plasmids and biocontainment experiments. R.F. assisted in experiments, and carried out adaptive laboratory evolution and growth rate measurements. S.V.O., E.A.R. and M.B. provided environmental samples for phage isolation, carried out replication assays and provided support for phage experiments and genome analyses. M.L., K.C. and F.H. carried out DNA synthesis; M.B.-T., A.C.-P. and E.K. supported the project. B.B. carried out MS/MS analyses. K.N. and J.A.M. provided reagents for tRNA-seq experiments.

Corresponding authors

Correspondence to Akos Nyerges or George M. Church.

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Competing interests

Harvard Medical School has filed a provisional patent application related to this work on which A.N., S.V. and G.M.C. are listed as inventors. M.L., K.C. and F.H. are employed by GenScript USA Inc., but the company had no role in designing or executing experiments. G.M.C. is a founder of the following companies in which he has related financial interests: GRO Biosciences, EnEvolv (Ginkgo Bioworks) and 64x Bio. Other potentially relevant financial interests of G.M.C. are listed at http://arep.med.harvard.edu/gmc/tech.html.

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Extended data figures and tables

Extended Data Fig. 1 Viral serine tRNAs decode TCA codons as serine, but Syn61∆3 obstructs the replication of viruses containing genomic tRNA-SerUGA.

a) Viral TCR suppressor tRNAs decode TCA codons as serine. The amino acid identity of the translated TCR codon within elastin16 TCA-sfGFP-His6 was confirmed by tandem mass spectrometry from Syn61∆3 expressing the tRNA-SerUGA of Escherichia phage IrisVonRoten (GenBank ID MZ501075)24. The figure shows the amino acid sequence and MS/MS spectrum of the analyzed elastin16 TCA peptide. MS/MS data was collected once. b) Syn61∆3 obstructs the replication of viruses containing genomic tRNA-SerUGA. Figure shows the titer of twelve tRNA gene-containing coliphages24, after 24 h of growth on MDS42 and Syn61∆3. All analyzed bacteriophages, except MZ501058, contain a genomic tRNA-SerUGA tRNA that provides TCR suppressor activity based on our screen (Fig. 1b, Supplementary Data 1). Early exponential phase cultures of MDS42 and Syn61∆3 were infected at an MOI of 0.001 with the corresponding phages, and free phage titers were determined after 24 h of incubation. Measurements were performed in n = 3 independent experiments (i.e., MDS42 + MZ501058, MZ501065, MZ501075, MZ501105, MZ501106; Syn61∆3 + MZ501046, MZ501067, MZ501066, MZ501096, MZ501074, MZ501098) or in n = 2 independent experiments (i.e., MDS42 + MZ501046, MZ501066, MZ501067, MZ501074, MZ501089, MZ501096, MZ501098; Syn61∆3 + MZ501058, MZ501065, MZ501075, MZ501089, MZ501105, MZ501106); dashed line represents input phage titer without bacterial cells (i.e., a titer of 420 PFU/ml); dots represent data from independent experiments; bar graphs represent the mean; error bars represent the SEM based on n = 3 independent experiments.

Extended Data Fig. 2 Viruses overcome genetic-code-based resistance by rapidly complementing the cellular tRNA pool with virus-encoded tRNAs.

The time-course kinetics of host and viral tRNA expression in Syn61∆3 cells following REP12 phage infection was quantified using tRNAseq (Methods). The endogenous serV and serW tRNAs of the host Syn61∆3 are highlighted in green and blue, respectively, while the tRNA-SerUGA of the REP12 virus is highlighted in red. REP12 viral tRNAs are shown in light red; endogenous tRNAs of Syn61∆3 are shown in gray. Data represent mean TPM (transcript/million). Source data is available within this paper.

Source data

Extended Data Fig. 3 tRNAseq-based detection of CCA tRNA tail addition to REP12 tRNA-SerUGA.

The tRNA tail is modified into CCA even if the phage-encoded tRNA-SerUGA does not encode a CCA end. The sequence of genomic phage-encoded tRNA-SerUGA is highlighted in magenta. Black letters indicate example tRNAseq sequencing reads from REP12 infected Syn61∆3 cells directly after phage attachment based on a single experiment.

Extended Data Fig. 4 Transcriptomic changes in Syn61∆3 following phage infection.

Volcano plot shows the differential expression between uninfected and REP12-infected Syn61∆3 cells, 40 min post-infection, based on n = 3 independent experiments (Methods). QueG encodes epoxyqueuosine reductase that catalyzes the final step in the de novo synthesis of queuosine in tRNAs. TrmJ encodes tRNA Cm32/Um32 methyltransferase that introduces methyl groups at the 2′-O position of U32 of several tRNAs, including tRNA-SerUGA. Differential expression and -Log10 adjusted p-values were calculated using the DESeq2 algorithm55. Source data is available within this paper.

Source data

Extended Data Fig. 5 Multiple sequence alignment of leuUYGA and phage-derived tRNA-LeuYGA variants.

a) Multiple sequence alignment of leuUYGA variants selected in aminoglycoside O-phosphotransferase expression screen, compared to E. coli leuU and the YGA anticodon-swapped E. coli leuU tRNA variant. Grey shading indicates the anticodon region, and the host’s LeuS leucine-tRNA-ligase identity elements31 are shown in blue. Sequence information of the leuUYGA variants is available in Supplementary Data 3. b) Multiple sequence alignment of phage-derived tRNA-LeuYGA variants selected in the aph3Ia29×Leu→TCR aminoglycoside O-phosphotransferase expression screen, compared to endogenous E. coli leucine tRNAs. Grey shading indicates the anticodon region, while the host’s LeuS leucine-tRNA-ligase identity elements31 are shown in blue. Sequence information of the phage-derived tRNA-LeuYGA variants is available in Supplementary Data 3.

Extended Data Fig. 6 tRNAseq-based quantification of viral Leu-tRNAUGA and Leu-tRNACGA in the tRNAome of Ec_Syn61∆3-SL.

tRNA levels of Ec_Syn61∆3-SL were quantified using tRNAseq (Methods). Viral Leu-tRNAUGA and Leu-tRNACGA are highlighted in red, and the host’s endogenous E. coli serV tRNA is highlighted in orange. tRNAseq data was collected once. Data represent TPM (transcript/million). Source data is available within this paper.

Source data

Extended Data Fig. 7 Serine-to-leucine mistranslation of TCT codons in Ec_Syn61∆3-SL cells.

a) MS/MS spectrum of the serine-to-leucine mistranslated TufA peptide. b) MS/MS spectrum of the wild-type TufA peptide. The figure shows the amino acid sequence and MS/MS spectrum of the Ec_Syn61∆3-SL-expressed TufA protein fragment, together with its genomic sequence, in which the serine-coding TCT codon (as shown in panel b) is partially mistranslated as leucine (as shown in panel a). The experiment was performed by analyzing the total proteome of Ec_Syn61∆3-SL cells, expressing Leu9-tRNAYGA from Escherichia phage OSYSP (GenBank ID MF402939.1) by tandem mass spectrometry (Methods). MS/MS data was collected once.

Extended Data Fig. 8 Doubling time and growth curves of Syn61Δ3(ev5), Syn61Δ3(ev5)ΔrecA, Syn61Δ3(ev5)ΔrecA(ev1), and Ec_Syn61∆3-SL.

a) Doubling times of Syn61Δ3(ev5), Syn61Δ3(ev5)ΔrecA, Syn61Δ3(ev5)ΔrecA(ev1), and Ec_Syn61∆3-SL, calculated based on growth curves (shown in panels b, c, d) in rich bacterial media under standard laboratory conditions. b) Growth curves of Syn61Δ3(ev5), Syn61Δ3(ev5)ΔrecA, and Syn61Δ3(ev5)ΔrecA(ev1) in LBL broth. c) Growth curves of Syn61Δ3(ev5) and Syn61Δ3(ev5)ΔrecA(ev1) in 2×YT broth. d) Growth curves of Ec_Syn61∆3-SL in 2×YT broth containing 50 μg/ml kanamycin. Three independent cultures were grown aerobically in vented shake flasks at 37 °C, and OD600 measurements were taken during exponential growth (Methods). Data curves and bars represent the mean. Error bars show standard deviation based on n = 3 independent experiments.

Extended Data Fig. 9 Ec_Syn61∆3-SL resists viruses in environmental samples.

(a) Phage enrichment experiment using Ec_Syn61∆3-SL, expressing KP869110.1 tRNA24 LeuYGA and MF402939.1 tRNA9 LeuYGA, as host. (b) Phage enrichment experiment using Ec_Syn61∆3-SL, expressing KP869110.1 tRNA24 LeuYGA and MF402939.1 tRNA21 LeuYGA, as host. Phage enrichment experiments were performed by mixing early exponential cultures of Ec_Syn61∆3-SL with 10 ml environmental sample mix containing the mixture of Sample 2–13 from our study (Extended Data Table 1a). After two enrichment cycles (Methods, Supplementary Note), filter-sterilized culture supernatants were mixed with phage-susceptible E. coli MDS42 cells in top agar and plated on LBL agar plates to determine viral titer. Enrichment experiments were performed in n = 2 independent replicates with the same result. (c) Lytic E. coli MDS42 phage plaques after 103-fold dilution of the environmental sample mix. d) Lytic phage titer of the environmental sample mix, before and after enrichment on Ec_Syn61∆3-SL. Dots represent the viral titer of the unenriched sample based on three independent experiments, measured on E. coli MDS42 cells. ND represents no plaques detected. Bar represents the mean. Error bar shows standard deviation based on n = 3 independent experiments.

Extended Data Table 1 Isolation of lytic viruses infecting Syn61∆3

Supplementary information

Supplementary Information

This file contains Supplementary Note, Figs. 1–3 and references.

Reporting Summary

Supplementary Source Data

This file contains Source Data for Supplementary Fig. 1.

Supplementary Data 1

tRNA candidates within tRNA library for TCR suppressor experiments; Identified TCR suppressor tRNAs; All predicted tRNAs within NCBI RefSeq Prokaryotic viral genomes; All predicted tRNAs within REP1–REP12 phage isolates.

Supplementary Data 2

Archaeal and vertebrate viral genomic tRNA sequences.

Supplementary Data 3

DNA constructs and primers; tRNA libraries; Mutations of Syn61Δ3(ev5) ΔrecA (ev1); Strains and plasmids used in this study.

Supplementary Data 4

Annotated genome of E. coli Syn61 substrain Syn61Δ3(ev5).

Source data

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Nyerges, A., Vinke, S., Flynn, R. et al. A swapped genetic code prevents viral infections and gene transfer. Nature 615, 720–727 (2023). https://doi.org/10.1038/s41586-023-05824-z

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