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  • Brief Communication
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Structural analysis of a hormone-bound Striga strigolactone receptor

Abstract

Strigolactones (SLs) regulate many aspects of plant development, but ambiguities remain about how this hormone is perceived because SL-complexed receptor structures do not exist. We find that when SL binds the Striga receptor, ShHTL5, a series of conformational changes relative to the unbound state occur, but these events are not sufficient for signalling. Ligand-complexed receptors, however, form internal tunnels that posit an explanation for how SL exits its receptor after hydrolysis.

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Fig. 1: Structural and functional analysis of +GR24-complexed ShHTL5.
Fig. 2: Internal transport tunnels in SL receptors.

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Data availability

All data supporting the findings of this study are available within the paper, its Extended Data and Supplementary Information. The crystallographic structure of GR24-bound ShHTL5 was deposited at the Protein Data Bank with PDB ID 8DVC. Any additional information or materials will be shared by the authors upon request.

References

  1. Kyozuka, J., Nomura, T. & Shimamura, M. Origins and evolution of the dual functions of strigolactones as rhizosphere signaling molecules and plant hormones. Curr. Opin. Plant Biol. 65, 102154 (2022).

    Article  CAS  PubMed  Google Scholar 

  2. Aquino, B., Bradley, J. M. & Lumba, S. On the outside looking in: roles of endogenous and exogenous strigolactones. Plant J. 105, 322–334 (2021).

    Article  CAS  PubMed  Google Scholar 

  3. Bhoi, A., Yadu, B., Chandra, J. & Keshavkant, S. Contribution of strigolactone in plant physiology, hormonal interaction and abiotic stresses. Planta 254, 28 (2021).

    Article  CAS  PubMed  Google Scholar 

  4. Kelly, J. H., Tucker, M. R. & Brewer, P. B. The strigolactone pathway is a target for modifying crop shoot architecture and yield. Biology 12, 95 (2023).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  5. Lumba, S., Subha, A. & McCourt, P. Found in translation: applying lessons from model systems to strigolactone signaling in parasitic plants. Trends Biochem. Sci. 42, 556–565 (2017).

    Article  CAS  PubMed  Google Scholar 

  6. Janssen, B. J. & Snowden, K. C. Strigolactone and karrikin signal perception: receptors, enzymes, or both? Front. Plant Sci. 3, 296 (2012).

    Article  PubMed  PubMed Central  Google Scholar 

  7. Zhao, L. H. et al. Destabilization of strigolactone receptor DWARF14 by binding of ligand and E3-ligase signaling effector DWARF3. Cell Res. 25, 1219–1236 (2015).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  8. Zhou, F. et al. D14-SCF(D3)-dependent degradation of D53 regulates strigolactone signalling. Nature 504, 406–410 (2013).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  9. Yao, R. et al. DWARF14 is a non-canonical hormone receptor for strigolactone. Nature 536, 469–473 (2016).

    Article  CAS  PubMed  Google Scholar 

  10. de Saint Germain, A. et al. An histidine covalent receptor and butenolide complex mediates strigolactone perception. Nat. Chem. Biol. 12, 787–794 (2016).

    Article  Google Scholar 

  11. Waters, M. T. et al. A Selaginella moellendorffii ortholog of KARRIKIN INSENSITIVE2 functions in Arabidopsis development but cannot mediate responses to karrikins or strigolactones. Plant Cell 27, 1925–1944 (2015).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  12. Seto, Y. et al. Strigolactone perception and deactivation by a hydrolase receptor DWARF14. Nat. Commun. 10, 191 (2019).

    Article  PubMed  PubMed Central  Google Scholar 

  13. Toh, S., Holbrook-Smith, D., Stokes, M. E., Tsuchiya, Y. & McCourt, P. Detection of parasitic plant suicide germination compounds using a high-throughput Arabidopsis HTL/KAI2 strigolactone perception system. Chem. Biol. 21, 988–998 (2014).

    Article  CAS  PubMed  Google Scholar 

  14. Tsuchiya, Y. et al. PARASITIC PLANTS. Probing strigolactone receptors in Striga hermonthica with fluorescence. Science 349, 864–868 (2015).

    Article  CAS  PubMed  Google Scholar 

  15. Wang, D. et al. Probing strigolactone perception mechanisms with rationally designed small-molecule agonists stimulating germination of root parasitic weeds. Nat. Commun. 13, 3987 (2022).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  16. Tal, L. et al. A conformational switch in the SCF-D3/MAX2 ubiquitin ligase facilitates strigolactone signalling. Nat. Plants 8, 561–573 (2022).

    Article  CAS  PubMed  Google Scholar 

  17. Toh, S. et al. Structure-function analysis identifies highly sensitive strigolactone receptors in Striga. Science 350, 203–207 (2015).

    Article  CAS  PubMed  Google Scholar 

  18. Flematti, G. R., Scaffidi, A., Waters, M. T. & Smith, S. M. Stereospecificity in strigolactone biosynthesis and perception. Planta 243, 1361–1373 (2016).

    Article  CAS  PubMed  Google Scholar 

  19. Jumper, J. et al. Highly accurate protein structure prediction with AlphaFold. Nature 596, 583–589 (2021).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  20. Bunsick, M. et al. SMAX1-dependent seed germination bypasses GA signalling in Arabidopsis and Striga. Nat. Plants 6, 646–652 (2020).

    Article  CAS  PubMed  Google Scholar 

  21. Wang, Y. et al. Molecular basis for high ligand sensitivity and selectivity of strigolactone receptors in Striga. Plant Physiol. 185, 1411–1428 (2021).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  22. Arellano-Saab, A. et al. Three mutations repurpose a plant karrikin receptor to a strigolactone receptor. Proc. Natl Acad. Sci. USA 118, e2103175118 (2021).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  23. Bzówka, M. et al. Evolution of tunnels in α/β-hydrolase fold proteins—what can we learn from studying epoxide hydrolases? PLoS Comput. Biol. 18, e1010119 (2022).

    Article  PubMed  PubMed Central  Google Scholar 

  24. Klvana, M. et al. Pathways and mechanisms for product release in the engineered haloalkane dehalogenases explored using classical and random acceleration molecular dynamics simulations. J. Mol. Biol. 392, 1339–1356 (2009).

    Article  CAS  PubMed  Google Scholar 

  25. Nakamura, H. et al. Triazole ureas covalently bind to strigolactone receptor and antagonize strigolactone responses. Mol. Plant 12, 44–58 (2019).

    Article  CAS  PubMed  Google Scholar 

  26. Shimada, A. et al. Structural basis for gibberellin recognition by its receptor GID1. Nature 456, 520–523 (2008).

    Article  CAS  PubMed  Google Scholar 

  27. Murase, K., Hirano, Y., Sun, T. P. & Hakoshima, T. Gibberellin-induced DELLA recognition by the gibberellin receptor GID1. Nature 456, 459–463 (2008).

    Article  CAS  PubMed  Google Scholar 

  28. Minor, W., Cymborowski, M., Otwinowski, Z. & Chruszcz, M. HKL -3000: the integration of data reduction and structure solution – from diffraction images to an initial model in minutes. Acta Crystallogr. D 62, 859–866 (2006).

    Article  PubMed  Google Scholar 

  29. Afonine, P. V. et al. Towards automated crystallographic structure refinement with phenix.refine. Acta Crystallogr. D 68, 352–367 (2012).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  30. Emsley, P., Lohkamp, B., Scott, W. G. & Cowtan, K. Features and development of Coot. Acta Crystallogr. D 66, 486–501 (2010).

    CAS  Google Scholar 

  31. Abraham, M. J. et al. GROMACS: high performance molecular simulations through multi-level parallelism from laptops to supercomputers. SoftwareX 1–2, 19–25 (2015).

    Article  Google Scholar 

  32. Huang, J. et al. CHARMM36m: an improved force field for folded and intrinsically disordered proteins. Nat. Methods 14, 71–73 (2017).

    Article  CAS  PubMed  Google Scholar 

  33. Hanwell, M. D. et al. Avogadro: an advanced semantic chemical editor, visualization, and analysis platform. J. Cheminformatics 4, 17 (2012).

    Article  CAS  Google Scholar 

  34. Pravda, L. et al. MOLEonline: a web-based tool for analyzing channels, tunnels and pores. Nucleic Acids Res. 46, 368–373 (2018).

    Article  Google Scholar 

Download references

Acknowledgements

A.A.-S. was partially funded by the Mexican National Council of Science and Technology (CONACyT) and by a Mitacs Globalink Graduate Scholarship. This work was supported by a Natural Sciences and Engineering Research Council of Canada (NSERC) Discovery Grant (no. 06752), an NSERC Accelerator Supplement (no. 507992), an NSERC Research Tools and Instruments grant (no. 00356), a New Frontiers in Research Fund (NFRFE-2018-00118) awarded to S.L. as well as an NSERC Discovery Grant (no. 04298) awarded to P.M. Research was also supported by Compute Ontario (https://computeontario.ca/) and Compute Canada (www.computecanada.ca). We thank R. DiLeo, O. Onopriyenko, M. Venkatesan, M. Bunsick and J. Bradley for support and technical advice.

Author information

Authors and Affiliations

Authors

Contributions

A.A.-S., P.J.S. and P.M. conceptualized the research. A.A.-S., T.S. and Z.X. performed experiments. C.S.P.M., A.S. and P.J.S. contributed new reagents and/or analysis tools. A.A.-S., A.S., S.L., P.J.S. and P.M. analysed and/or discussed data with input from all authors. A.A.-S., P.M. and P.J.S. prepared the manuscript. All authors reviewed and agreed on the manuscript.

Corresponding authors

Correspondence to Peter J. Stogios or Peter McCourt.

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Competing interests

The authors declare no competing interests.

Peer review

Peer review information

Nature Plants thanks Marek Marzec, Tadao Asami and the other, anonymous, reviewer(s) for their contribution to the peer review of this work.

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Extended data

Extended Data Fig. 1 Control pairwise structure alignments of ShHTL5 and ShHTL5S95A.

Control pairwise structure alignments performed on A. apo ShHTL5 (white) and an AlphaFold2 model of itself (blue) and B. ShHTL5S95A (purple) against an AlphaFold2 model of itself (blue). Magnified views show the high agreement between the catalytic triads of crystal structures and models. Both alignments show global RMSD values below 0.20 Å.

Extended Data Fig. 2 Structural models of the GID1 GA receptor and its transport tunnels.

Internal transport tunnels (red) change in shape, size, and orientation in response to gibberellic acid (GA) binding and the presence of its binding partner DELLA.

Extended Data Table 1 Oligonucleotide information

Supplementary information

Supplementary Information

PDB validation report for the crystallographic structure of ShHTL5-GR24.

Reporting Summary

Supplementary Video 1

Structural changes of ShHTL5 in response to +GR24 binding. The perception and binding mechanisms of an SL by ShHTL5 are shown, using apo ShHTL5 (PDB 5CBK) as a reference. The perception occurs in 3 phases: first, Phe134, Tyr157 and Lys218 move to accommodate GR24. Second, a group of residues located on the left lid domain change the conformation of their rotamers, creating more space in the binding pocket. Finally, the flexibility loop changes its position to bind to the downstream partner MAX2.

Supplementary Video 2

Molecular dynamics simulation displays an exit cavity forming upon GR24 binding. This movie shows the 1 µs molecular dynamics simulations of apo ShHTL5 and +GR24-bound ShHTL5. The exit end of the SL-enlarged tunnel can be observed only on the bound structure, depicted with an orange circle. MD movies represent one of three trajectories (n = 3) analysed.

Supplementary Video 3

MD simulation of the transport of SL hydrolysis product through internal tunnel of ShHTL5. This movie shows a 1 µs MD simulation of an SL hydrolysis product (PDB 4IHA) moving through the ShHTL5 transport tunnel. It can be observed how the topological landscape of the tunnel changes in response to the product approaching certain areas (that is, bottlenecks). Once the SL is positioned close to the end of the tunnel, the exit cavity is enlarged, possibly to facilitate its expulsion.

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Arellano-Saab, A., Skarina, T., Xu, Z. et al. Structural analysis of a hormone-bound Striga strigolactone receptor. Nat. Plants 9, 883–888 (2023). https://doi.org/10.1038/s41477-023-01423-y

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