Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • Article
  • Published:

Unconventional secretion of Magnaporthe oryzae effectors in rice cells is regulated by tRNA modification and codon usage control

Subjects

Abstract

Microbial pathogens deploy effector proteins to manipulate host cell innate immunity, often using poorly understood unconventional secretion routes. Transfer RNA (tRNA) anticodon modifications are universal, but few biological functions are known. Here, in the rice blast fungus Magnaporthe oryzae, we show how unconventional effector secretion depends on tRNA modification and codon usage. We characterized the M. oryzae Uba4–Urm1 sulfur relay system mediating tRNA anticodon wobble uridine 2-thiolation (s2U34), a conserved modification required for efficient decoding of AA-ending cognate codons. Loss of s2U34 abolished the translation of AA-ending codon-rich messenger RNAs encoding unconventionally secreted cytoplasmic effectors, but mRNAs encoding endoplasmic reticulum–Golgi-secreted apoplastic effectors were unaffected. Increasing near-cognate tRNA acceptance, or synonymous AA- to AG-ending codon changes in PWL2, remediated cytoplasmic effector production in Δuba4. In UBA4+, expressing recoded PWL2 caused Pwl2 super-secretion that destabilized the host–fungus interface. Thus, U34 thiolation and codon usage tune pathogen unconventional effector secretion in host rice cells.

This is a preview of subscription content, access via your institution

Access options

Buy this article

Prices may be subject to local taxes which are calculated during checkout

Fig. 1: tRNA anticodon wobble uridine 2-thiolation is required for fungal pathogenicity.
Fig. 2: The tRNA thiolation modification is required for PWL2 (but not BAS4) mRNA translation.
Fig. 3: Translation of the unconventionally secreted AVR-Pita effector requires tRNA thiolation.
Fig. 4: Unconventional protein secretion but not conventional ER–Golgi secretion in host cells is AA-ending codon decoding-dependent.
Fig. 5: Unconventionally secreted cytoplasmic effector mRNAs are AA-ending codon-rich.
Fig. 6: AA-ending codon usage tunes unconventional protein secretion in living host cells.

Similar content being viewed by others

Data availability

The M. oryzae UBA4 and URM1 gene sequences are available at the National Center for Biotechnology Information (https://www.ncbi.nlm.nih.gov) under the accession numbers MGG_05569 and MGG_03978, respectively. Other gene sequences used in the course of this study can be found at the National Center for Biotechnology Information under the following accession numbers: MGG_13863 for PWL2, MGG_10914 for BAS4, MGG_15370 for AVR-Pita, MGG_10097 for SLP1, FJ807764 for BAS1, MGG_18041 for AvrPiz-t, MGG_10020 for BAS107, MGG_05785 for BAS113, JN035619.1 for AVR-Pik, AB434708 for Avr-Pia, AF463528.1 for AVR1-CO39, and AAK31287.1 for TOXB. Strains generated during the course of this study are available from the corresponding author upon request and with an appropriate Animal and Plant Health Inspection Service permit. Source data are provided with this paper.

Code availability

Underlying source code associated with the P value calculations in Fig. 4e is available in Source Data Fig. 4.

References

  1. Björk, G. R., Huang, B., Persson, O. P. & Byström, A. S. A conserved modified wobble nucleoside (mcm5s2U) in lysyl-tRNA is required for viability in yeast. RNA 13, 1245–1255 (2007).

    PubMed  PubMed Central  Google Scholar 

  2. Dewez, M. et al. The conserved wobble uridine tRNA thiolase Ctu1-Ctu2 is required to maintain genome integrity. Proc. Natl Acad. Sci. USA 105, 5459–5464 (2008).

    CAS  PubMed  PubMed Central  Google Scholar 

  3. Rezgui, V. A. et al. tRNA tKUUU, tQUUG, and tEUUC wobble position modifications fine-tune protein translation by promoting ribosome A-site binding. Proc. Natl Acad. Sci. USA 110, 12289–12294 (2013).

    CAS  PubMed  PubMed Central  Google Scholar 

  4. Zinshteyn, B. & Gilbert, W. V. Loss of a conserved tRNA anticodon modification perturbs cellular signaling. PLoS Genet. 9, e1003675 (2013).

    CAS  PubMed  PubMed Central  Google Scholar 

  5. Boccaletto, P. et al. MODOMICS: a database of RNA modification pathways. Nucleic Acids Res. 46, D303–D307 (2018).

    CAS  PubMed  Google Scholar 

  6. Laxman, S. et al. Sulfur amino acids regulate translational capacity and metabolic homeostasis through modulation of tRNA thiolation. Cell 154, 416–429 (2013).

    CAS  PubMed  PubMed Central  Google Scholar 

  7. Nedialkova, D. D. & Leidel, S. A. Optimization of codon translation rates via tRNA modifications maintains proteome integrity. Cell 161, 1606–1618 (2015).

    CAS  PubMed  PubMed Central  Google Scholar 

  8. Chou, H. J. et al. Transcriptome-wide analysis of roles for tRNA modifications in translational regulation. Mol. Cell 68, 978–992 (2017).

    CAS  PubMed  PubMed Central  Google Scholar 

  9. Gupta, R. et al. A tRNA modification balances carbon and nitrogen metabolism by regulating phosphate homeostasis. eLife 8, e44795 (2019).

    CAS  PubMed  PubMed Central  Google Scholar 

  10. Dean, R. A. et al. The genome sequence of the rice blast fungus Magnaporthe grisea. Nature 434, 980–986 (2005).

    CAS  PubMed  Google Scholar 

  11. Wilson, R. A. & Talbot, N. J. Under pressure: investigating the biology of plant infection by Magnaporthe oryzae. Nat. Rev. Microbiol. 7, 185–195 (2009).

    CAS  PubMed  Google Scholar 

  12. Fernandez, J. & Orth, K. Rise of a cereal killer: the biology of Magnaporthe oryzae biotrophic growth. Trends Microbiol. 26, 582–597 (2018).

    CAS  PubMed  PubMed Central  Google Scholar 

  13. Cruz-Mireles, N., Eseola, A. B., Osés-Ruiz, M., Ryder, L. S. & Talbot, N. J. From appressorium to transpressorium—defining the morphogenetic basis of host cell invasion by the rice blast fungus. PLoS Pathog. 17, e1009779 (2021).

    CAS  PubMed  PubMed Central  Google Scholar 

  14. Wilson, R. A. Magnaporthe oryzae. Trends Microbiol. 29, 663–664 (2021).

    CAS  PubMed  Google Scholar 

  15. Pabis, M. et al. Molecular basis for the bifunctional Uba4–Urm1 sulfur-relay system in tRNA thiolation and ubiquitin-like conjugation. EMBO J. 39, e105087 (2020).

    CAS  PubMed  PubMed Central  Google Scholar 

  16. Leidel, S. et al. Ubiquitin-related modifier Urm1 acts as a sulphur carrier in thiolation of eukaryotic transfer RNA. Nature 458, 228–232 (2009).

    CAS  PubMed  Google Scholar 

  17. Rapino, F. et al. Wobble tRNA modification and hydrophilic amino acid patterns dictate protein fate. Nat. Commun. 12, 2170 (2021).

    CAS  PubMed  PubMed Central  Google Scholar 

  18. Shigi, N. Recent advances in our understanding of the biosynthesis of sulfur modifications in tRNAs. Front. Microbiol. 9, 2679 (2018).

    PubMed  PubMed Central  Google Scholar 

  19. Wilson, R. A., Gibson, R. P., Quispe, C. F., Littlechild, J. A. & Talbot, N. J. An NADPH-dependent genetic switch regulates plant infection by the rice blast fungus. Proc. Natl Acad. Sci. USA 107, 21902–21907 (2010).

    CAS  PubMed  PubMed Central  Google Scholar 

  20. Valent, B., Farrall, L. & Chumley, F. G. Magnaporthe grisea genes for pathogenicity and virulence identified through a series of backcrosses. Genetics 127, 87–101 (1991).

    CAS  PubMed  PubMed Central  Google Scholar 

  21. Ryder, L. S. et al. A sensor kinase controls turgor-driven plant infection by the rice blast fungus. Nature 574, 423–427 (2019).

    CAS  PubMed  Google Scholar 

  22. Rocha, R. O., Elowsky, C., Pham, N. T. T. & Wilson, R. A. Spermine-mediated tight sealing of the Magnaporthe oryzae appressorial pore-rice leaf surface interface. Nat. Microbiol. 5, 1472–1480 (2020).

    CAS  PubMed  Google Scholar 

  23. Kankanala, P., Czymmek, K. & Valent, B. Roles for rice membrane dynamics and plasmodesmata during biotrophic invasion by the blast fungus. Plant Cell 19, 706–724 (2007).

    CAS  PubMed  PubMed Central  Google Scholar 

  24. Giraldo, M. C. et al. Two distinct secretion systems facilitate tissue invasion by the rice blast fungus Magnaporthe oryzae. Nat. Commun. 4, 1996 (2013).

    PubMed  Google Scholar 

  25. Sun, G., Elowsky, C., Li, G. & Wilson, R. A. TOR-autophagy branch signaling via Imp1 dictates plant-microbe biotrophic interface longevity. PLoS Genet. 14, e1007814 (2018).

    PubMed  PubMed Central  Google Scholar 

  26. Khang, C. H. et al. Translocation of Magnaporthe oryzae effectors into rice cells and their subsequent cell-to-cell movement. Plant Cell 22, 1388–1403 (2010).

    CAS  PubMed  PubMed Central  Google Scholar 

  27. Marroquin-Guzman, M. et al. The Magnaporthe oryzae nitrooxidative stress response suppresses rice innate immunity during blast disease. Nat. Microbiol. 2, 17054 (2017).

    CAS  PubMed  Google Scholar 

  28. Mentlak, T. A. et al. Effector-mediated suppression of chitin-triggered immunity by Magnaporthe oryzae is necessary for rice blast disease. Plant Cell 24, 322–335 (2012).

    CAS  PubMed  PubMed Central  Google Scholar 

  29. Rabouille, C. Pathways of unconventional protein secretion. Trends Cell Biol. 27, 230–240 (2017).

    CAS  PubMed  Google Scholar 

  30. Park, C. H. et al. The Magnaporthe oryzae effector AvrPiz-t targets the RING E3 ubiquitin ligase APIP6 to suppress pathogen-associated molecular pattern-triggered immunity in rice. Plant Cell 24, 4748–4762 (2012).

    CAS  PubMed  PubMed Central  Google Scholar 

  31. de Guillen, K. et al. Structure analysis uncovers a highly diverse but structurally conserved effector family in phytopathogenic fungi. PLoS Pathog. 11, e1005228 (2015).

    PubMed  PubMed Central  Google Scholar 

  32. Sperschneider, J., Dodds, P. N., Singh, K. B. & Taylor, J. M. ApoplastP: prediction of effectors and plant proteins in the apoplast using machine learning. New Phytol. 217, 1764–1778 (2018).

    CAS  PubMed  Google Scholar 

  33. Yan, X. et al. The transcriptional landscape of plant infection by the rice blast fungus Magnaporthe oryzae reveals distinct families of temporally co-regulated and structurally conserved effectors. Plant Cell 35, 1360–1385 (2023).

    PubMed  PubMed Central  Google Scholar 

  34. Yoshida, K. et al. Association genetics reveals three novel avirulence genes from the rice blast fungal pathogen Magnaporthe oryzae. Plant Cell 21, 1573–1591 (2009).

    CAS  PubMed  PubMed Central  Google Scholar 

  35. Ribot, C. et al. The Magnaporthe oryzae effector AVR1-CO39 is translocated into rice cells independently of a fungal-derived machinery. Plant J. 74, 1–12 (2013).

    CAS  PubMed  Google Scholar 

  36. Stuart, L. M., Paquette, N. & Boyer, L. Effector-triggered versus pattern-triggered immunity: how animals sense pathogens. Nat. Rev. Immunol. 13, 199–206 (2013).

    CAS  PubMed  PubMed Central  Google Scholar 

  37. Liu, T. et al. Unconventionally secreted effectors of two filamentous pathogens target plant salicylate biosynthesis. Nat. Commun. 5, 4686 (2014).

    CAS  PubMed  Google Scholar 

  38. Balmer, E. A. & Faso, C. The road less traveled? Unconventional protein secretion at parasite–host interfaces. Front. Cell Dev. Biol. 9, 662711 (2021).

    PubMed  PubMed Central  Google Scholar 

  39. Rapino, F. et al. Codon-specific translation reprogramming promotes resistance to targeted therapy. Nature 558, 605–609 (2018).

    CAS  PubMed  Google Scholar 

  40. Pechmann, S., Chartron, J. W. & Frydman, J. Local slowdown of translation by nonoptimal codons promotes nascent-chain recognition by SRP in vivo. Nat. Struct. Mol. Biol. 21, 1100–1105 (2014).

    CAS  PubMed  PubMed Central  Google Scholar 

  41. Stuer, N., Van Damme, P., Goormachtig, S. & Van Dingenen, J. Seeking the interspecies crosswalk for filamentous microbe effectors. Trends Plant Sci. https://doi.org/10.1016/j.tplants.2023.03.017 (2023).

    Article  PubMed  Google Scholar 

  42. Ikeuchi, K. et al. Collided ribosomes form a unique structural interface to induce Hel2-driven quality control pathways. EMBO J. 38, e100276 (2019).

    PubMed  PubMed Central  Google Scholar 

  43. Juszkiewicz, S. et al. Ribosome collisions trigger cis-acting feedback inhibition of translation initiation. eLife 9, e60038 (2020).

    CAS  PubMed  PubMed Central  Google Scholar 

  44. Weber, R. et al. 4EHP and GIGYF1/2 mediate translation-coupled messenger RNA decay. Cell Rep. 33, 108262 (2020).

    CAS  PubMed  PubMed Central  Google Scholar 

  45. Doma, M. K. & Parker, R. Endonucleolytic cleavage of eukaryotic mRNAs with stalls in translation elongation. Nature 440, 561–564 (2006).

    CAS  PubMed  PubMed Central  Google Scholar 

  46. D’Orazio, K. N. et al. The endonuclease Cue2 cleaves mRNAs at stalled ribosomes during No Go Decay. eLife 8, e49117 (2019).

    PubMed  PubMed Central  Google Scholar 

  47. Navickas, A. et al. No-Go Decay mRNA cleavage in the ribosome exit tunnel produces 5′-OH ends phosphorylated by Trl1. Nat. Commun. 11, 122 (2020).

    CAS  PubMed  PubMed Central  Google Scholar 

  48. Liu, Y. A code within the genetic code: codon usage regulates co-translational protein folding. Cell Commun. Signal. 18, 145 (2020).

    CAS  PubMed  PubMed Central  Google Scholar 

  49. Yan, M. et al. A high-throughput quantitative approach reveals more small RNA modifications in mouse liver and their correlation with diabetes. Anal. Chem. 85, 12173–12181 (2013).

    CAS  PubMed  Google Scholar 

  50. Su, D. et al. Quantitative analysis of ribonucleoside modifications in tRNA by HPLC-coupled mass spectrometry. Nat. Protoc. 9, 828–841 (2014).

    CAS  PubMed  PubMed Central  Google Scholar 

  51. Livak, K. J. & Schmittgen, T. D. Analysis of relative gene expression data using real-time quantitative PCR and the 2−ΔΔCT method. Methods 25, 402–408 (2001).

    CAS  PubMed  Google Scholar 

Download references

Acknowledgements

This work was supported by the National Science Foundation (IOS-1758805 and IOS-2106153). Z.G. was supported by funding from the China Scholarship Council (file number 201903250119). Bioinformatic analyses were completed using the supercomputing resources of the Holland Computing Center at the University of Nebraska-Lincoln, which receives support from the Nebraska Research Initiative.

Author information

Authors and Affiliations

Authors

Contributions

R.A.W. conceived the project and obtained funding. R.A.W. designed the experiments. R.A.W. and G.L. interpreted the data. G.L., N.D. and Z.G. generated the strains and performed the experiments. G.L. performed the bioinformatic analyses. R.A.W. wrote the paper, with contributions from all authors.

Corresponding author

Correspondence to Richard A. Wilson.

Ethics declarations

Competing interests

The authors declare no competing interests.

Peer review

Peer review information

Nature Microbiology thanks the anonymous reviewers for their contribution to the peer review of this work. Peer reviewer reports are available.

Additional information

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Extended data

Extended Data Fig. 1 Loss of UBA4 or URM1 in M. oryzae impairs biotrophic growth in host rice cells.

a-e, Three independent transformants carrying deletions in UBA4 had identical phenotypes. Compared to WT, Δuba4 strains were reduced in radial growth (a) and sporulation (b) on complete media (CM) by 10 days post inoculation (dpi), but appressorium formation rates on detached rice leaf sheath surfaces at 24 hpi (c), and penetration rates of appressoria on host rice leaf sheath surfaces at 30 hpi (d), were not affected by the loss of UBA4; however, cell-to-cell movement of Δuba4 invasive hyphae (IH) from the first infected rice cell into neighbouring cells at 48 hpi was reduced (e). f, Compared to WT and the Δurm1 URM1-GFP complementation strain, loss of URM1 abolished M. oryzae pathogenicity on rice leaves. Left, Leaves were imaged at 5 dpi. Images are representative of at least 5 leaves from three biological replicates. Right, 10 cm lengths of infected rice leaves were imaged at 5 dpi. Disease lesion areas were quantified using Image J and analyzed according to one-way ANOVA followed by a Tukey HSD test for multiple comparisons. Values are the means ± s.d. from three biological replicates. Different letters indicate significant differences (p < 0.05). g-k, Three independent transformants carrying deletions in URM1 had identical phenotypes, and also strongly resembled the Δuba4 strains in growth (g), sporulation rates (h), appressorium formation (i) and function (j), and cell-to-cell movement rates (k), compared to WT. a,g, Colonies of each strain were imaged and measured after 10 days growth on CM. Images are representative of three independent experiments. a-e, g-k, Values are means ± s.d. from three biological replicates. Bars with different letters indicate significant differences at P ≤ 0.05. P-values were determined by one-way ANOVA with Tukey’s multiple comparisons test (a, c-g, i-k) or by Welch ANOVA with Games-Howell post hoc test (b,h). Exact P values are given in Source Data Extended Data Fig. 1. c,i, Spores of the indicated strains were inoculated onto detached rice leaf sheaths at a rate of 0.5 ×105 spores ml−1.

Source data

Extended Data Fig. 2 Uba4 is localized to the cytoplasm in invasive hyphae.

Live-cell imaging of the Δuba4 UBA4-GFP complementation strain in detached rice leaf sheath epidermal cells at 38 hpi and 42 hpi shows that the Uba4-GFP fusion protein localizes to the cytoplasm of fungal invasive hyphae. White arrowheads indicate penetration sites, stars indicate movement of invasive hyphae into neighbouring cells. Scale bars, 10 μm. Representative images are based on the observations of 50 infected rice cells per leaf sheath per treatment, repeated in triplicate.

Extended Data Fig. 3 Bas4-mCherry:NLS but not Pwl2-GFP is secreted by Δuba4.

Live-cell imaging at 36 hpi of the indicated strains expressing PWL2-GFP and BAS4-mCherry:NLS in detached rice leaf sheath epidermal cells shows how in 100 % of observed infected cells, Pwl2-GFP accumulated in BICs of the UBA4+ strain but not in Δuba4 BICs, while Bas4-mCherry:NLS accumulated in the apoplast of both strains. Calculations and representative images are based on the observations of 50 infected rice cells per leaf sheath per treatment, repeated in triplicate. White arrowheads indicate penetration sites; red arrows indicate Pwl2 in BICs. Scale bars, 10 μm.

Source data

Extended Data Fig. 4 Paromomycin treatment impairs biotrophic growth in WT but does not prevent effector translation or secretion.

Live-cell imaging at 44 hpi of detached rice leaf sheath epidermal cells colonized with the wild type Guy11 strain expressing PWL2-mCherry:NLS and BAS4-GFP. Compared to the non-treated (NT) control (Top), treatment with paromomycin at 36 hpi (Bottom) impaired biotrophic growth and prevented cell-to-cell spread of invasive hyphae by 44 hpi, but effectors were nonetheless translated and secreted, and the BIC and apoplastic space were intact. White arrowheads indicate penetration sites; red arrows indicate Pwl2 in BICs; stars indicate movement of invasive hyphae into neighbouring cells. Scale bars, 10 μm. Representative images are based on the observations of 50 infected rice cells per leaf sheath per treatment, repeated in triplicate.

Source data

Extended Data Fig. 5 Slp1 is secreted into the Δuba4 apoplast.

Live-cell imaging at 44 hpi of detached rice leaf sheath epidermal cells infected with the indicated strains expressing SLP1-GFP shows how in 100 % of observed infected cells, compared to WT lacking SLP1-GFP, Slp1 accumulated in the apoplast of both UBA4+ and Δuba4 strains. Slp1-GFP fluorescence was weak in both strains and can be best seen outlining IH in the blow-up boxes, indicated with green arrow heads. Calculations and representative images are based on the observations of 50 infected rice cells per leaf sheath per treatment, repeated in triplicate. White arrowheads indicate penetration sites. Scale bars, 10 μm.

Source data

Extended Data Fig. 6 Location of AA-ending codons in PWL2-mCherry:NLS.

AA-ending codons in the PWL2-mCherry:NLS coding sequence26 that were recoded to synonymous AG-ending codons in PWL2 (–AA → –AG) are shown in red. The first mCherry codon is highlighted in yellow. The start of the NLS sequence is highlighted in green. The linker sequence is highlighted in grey.

Extended Data Fig. 7 Expressing PWL2 (-AA → -AG) in Δuba4 affects BIC integrity.

Live-cell imaging at 40 hpi of detached rice leaf sheath epidermal cells infected with Δuba4 expressing PWL2 (-AA → -AG) and BAS4-GFP. White arrowheads indicate penetration sites; red arrowheads indicate recoded Pwl2 in host nuclei; solid red arrows indicate recoded Pwl2 in enlarged BICs; dashed red arrows indicate recoded Pwl2 in fractured BICs. Scale bars, 10 μm. Representative images are based on the observations of 50 infected rice cells per leaf sheath per treatment, repeated in triplicate.

Extended Data Fig. 8 Expressing BAS4 (-AG → -AA) in Δuba4 does not affect Bas4 secretion.

a, AG-ending codons in the BAS4-GFP coding sequence26 that were recoded to synonymous AA-ending codons in BAS4 (–AG → –AA) are shown in red. The GFP start codon is highlighted in green. The linker sequence is highlighted in grey. b, Live-cell imaging at 36 hpi of detached rice leaf sheath epidermal cells infected with Δuba4 expressing PWL2 (-AA → -AG) and BAS4 (-AG → -AA). Recoded Bas4 and recoded Pwl2 are correctly deployed, albeit sometimes resulting in enlarged or fractured BICs in the latter case. White arrowheads indicate penetration sites. Scale bars, 10 μm. Images are based on the observations of 50 infected rice cells per leaf sheath, repeated in triplicate.

Extended Data Fig. 9 AA- and AG-ending codon counts for apoplastic and cytoplasmic effector mRNAs.

Tables showing frequencies and numbers of synonymous AA-ending (red) and AG-ending (black) codons in all M. oryzae protein coding sequences (∑CDS) (a) and in the indicated effector-encoding mRNAs (a-c). See text for details.

Extended Data Fig. 10 Brefeldin A treatment did not affect the secretion of recoded Pwl2 into the BIC.

Live-cell imaging at 40 hpi of detached rice leaf sheath epidermal cells infected with UBA4+ strains expressing BAS4-GFP and either PWL2 (Top) or recoded PWL2 (-AA → -AG) (Bottom) shows how in both cases, and in 100 % of observed cells, Brefeldin A (BFA) treatment, which inhibits conventional ER-Golgi secretion, led to the retention of Bas4 in IH cytoplasm as expected, but Pwl2 secretion into the BIC was unaffected. This confirms that recoded Pwl2 (-AA → -AG) is, like Pwl2, secreted into the BIC via the unconventional protein secretion pathway and that, moreover, no spillover secretion of Pwl2 (-AA → -AG) through the ER-Golgi pathway contributes to the enlarged, split-BIC phenotype observed for this strain. White arrowheads indicate penetration sites; hatched yellow circles indicate BICs, which are enlarged in the UBA4+ PWL2 (-AA → -AG) strain compared to the UBA4+ PWL2 strain. Scale bars, 10 μm. Calculations and representative images are based on the observations of 50 infected rice cells per leaf sheath per treatment, repeated in triplicate.

Source data

Supplementary information

Supplementary Information

Supplementary Tables 2 and 3 and References.

Reporting Summary

Peer Review File

Supplementary Table 1

Raw and normalized peak information datasheet (LC–MS of modified nucleosides).

Source data

Source Data Fig. 1

Statistical source data for Fig. 1.

Source Data Fig. 2

Statistical source data for Fig. 2.

Source Data Fig. 3

Statistical source data for Fig. 3.

Source Data Fig. 4

Statistical source data for Fig. 4.

Source Data Fig. 5

Statistical source data for Fig. 5.

Source Data Fig. 6

Statistical source data for Fig. 6.

Source Data Extended Data Fig. 1

Statistical source data for Extended Data Fig. 1.

Source Data Extended Data Fig. 3

Statistical source data for Extended Data Fig. 3.

Source Data Extended Data Fig. 4

Statistical source data for Extended Data Fig. 4.

Source Data Extended Data Fig. 5

Statistical source data for Extended Data Fig. 5.

Source Data Extended Data Fig. 10

Statistical source data for Extended Data Fig. 10.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Li, G., Dulal, N., Gong, Z. et al. Unconventional secretion of Magnaporthe oryzae effectors in rice cells is regulated by tRNA modification and codon usage control. Nat Microbiol 8, 1706–1716 (2023). https://doi.org/10.1038/s41564-023-01443-6

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/s41564-023-01443-6

This article is cited by

Search

Quick links

Nature Briefing

Sign up for the Nature Briefing newsletter — what matters in science, free to your inbox daily.

Get the most important science stories of the day, free in your inbox. Sign up for Nature Briefing