research papers
of the leucine-rich repeat ectodomain of the plant immune receptor kinase SOBIR1
aStructural Plant Biology Laboratory, Department of Botany and Plant Biology, University of Geneva, 1211 Geneva, Switzerland
*Correspondence e-mail: michael.hothorn@unige.ch
Plant-unique membrane receptor kinases with leucine-rich repeat (LRR) extracellular domains are key regulators of development and immune responses. Here, the 1.55 Å resolution Arabidopsis is presented. The ectodomain structure reveals the presence of five LRRs sandwiched between noncanonical capping domains. The disulfide-bond-stabilized N-terminal cap harbours an unusual β-hairpin structure. The C-terminal cap features a highly positively charged linear motif which was found to be largely disordered in this structure. and right-angle light-scattering experiments suggest that SOBIR1 is a monomer in solution. The protruding β-hairpin, a set of highly conserved basic residues at the inner surface of the SOBIR LRR domain and the presence of a genetic missense allele in LRR2 together suggest that the SOBIR1 ectodomain may mediate protein–protein interaction in plant immune signalling.
of the immune receptor kinase SOBIR1 from1. Introduction
Plants have evolved a unique set of membrane receptor kinases (LRR-RKs) that are composed of a leucine-rich repeat ectodomain, a transmembrane helix and a dual-specificity kinase domain in the cytoplasm (Shiu & Bleecker, 2001). The ectodomains of LRR-RKs show a bimodal size distribution (Fig. 1a). Family members with large ectodomains (15–30 LRRs) represent ligand-binding receptors (Hohmann et al., 2017). In contrast, SOMATIC EMBRYOGENESIS RECEPTOR KINASEs (SERKs; Schmidt et al., 1997) with short ectodomains (five LRRs) have been characterized as essential co-receptors (Brandt & Hothorn, 2016). Ligand binding to large LRR-RKs promotes their association with shape-complementary SERKs at the cell surface, which in turn enables their cytoplasmic kinase domains to interact and to transphosphorylate each other (Santiago et al., 2013, 2016; Hohmann, Santiago et al., 2018). SERKs represent only five of the ∼60 small LRR-RKs in Arabidopsis (Fig. 1a; Dufayard et al., 2017), but genetic evidence suggests that sequence-related NIK/CIK/CLERK proteins may fulfil similar functions (Hu et al., 2018; Cui et al., 2018; Anne et al., 2018).
Recently, the BIR family of receptor pseudokinases (with five LRRs in the ectodomain) have been defined as negative regulators of SERK co-receptors (Ma et al., 2017; Hohmann, Nicolet et al., 2018). Ligand-independent interaction of a BIR and a SERK ectodomain keeps the LRR-RK co-receptor in a basal, inhibited state (Hohmann, Nicolet et al., 2018). In addition, the structure of POLLEN RECEPTOR-LIKE KINASE 6 (six LRRs in the ectodomain) in complex with a peptide hormone ligand has been reported, but it is presently unclear whether PRK6 represents the receptor or a co-receptor for these (Zhang et al., 2017).
Here, we report the structure of the functionally distinct plant receptor kinase SOBIR1, which is predicted to have four or five LRRs in its ectodomain (Gao et al., 2009; Bi et al., 2016). SOBIR1 was initially found in a suppressor screen of the bir1-1 mutant, which displays autoimmune phenotypes (Gao et al., 2009). SOBIR1 loss of function restored wild-type-like growth in bir1-1, suggesting that SOBIR1 functions in plant immune signalling (Gao et al., 2009). Subsequently, it was found that SOBIR1 interacts with receptor-like proteins (RLPs; Liebrand et al., 2013), a family of plant membrane proteins (∼57 family members in Arabidopsis) that harbour LRR ectodomains and a transmembrane helix but lack a cytoplasmic kinase domain (Wang et al., 2008; Gust & Felix, 2014; Fig. 1b). Many RLPs are plant immune receptors that recognize various microbe-associated molecular patterns and their signalling function depends on SOBIR1 (Liebrand et al., 2013; Zhang et al., 2013; Jehle et al., 2013; Albert et al., 2015; Postma et al., 2016; Catanzariti et al., 2017; Wang et al., 2018; Domazakis et al., 2018). How different RLPs interact with SOBIR1 to activate plant immune signalling is poorly understood at the molecular level. Presently, it is known that a GxxxG motif in the SOBIR1 transmembrane helix is required for the interaction with different RLPs (Bi et al., 2016). It has also been demonstrated that the kinase activity of SOBIR1 is essential for its signalling function (van der Burgh et al., 2019). Here, we present the of the SOBIR1 ectodomain from A. thaliana (AtSOBIR1) and discuss its implications for plant immune signalling.
2. Materials and methods
2.1. Analysis of LRR ectodomain size distribution
166 A. thaliana proteins containing predicted N-terminal LRR and C-terminal kinase domains connected via a single transmembrane helix were identified in Araport11 (https://www.arabidopsis.org/). The LRR ectodomain sequences were isolated by defining putative signal using SignalP v.5.0 (https://www.cbs.dtu.dk/services/SignalP/; Almagro Armenteros et al., 2019) and transmembrane helices using TMHMM v.2.0 (https://www.cbs.dtu.dk/services/TMHMM/; Möller et al., 2001). Data were plotted in R (R Core Team, 2014; Fig. 1a).
2.2. Protein expression and purification
The coding sequences of AtSOBIR1 (residues 1–270 and 1–183) as well as AtRLP231–849 and AtRLP321–818 were amplified from A. thaliana genomic DNA, GP67-RLP2323–847 codon-optimized for expression in Spodoptera frugiperda was obtained from T. Nürnberger, and PpNLP20-stop codon-optimized for expression in S. frugiperda was obtained as a synthetic gene (Twist Bioscience, San Francisco, USA). All protein-coding sequences were cloned into a modified pFastBac vector (Geneva Biotech), which provides a Tobacco etch virus protease (TEV)-cleavable C-terminal StrepII-9×His tag. Shortened expression constructs and signal peptide swaps were constructed using Gibson-assembly cloning strategies (Gibson et al., 2009).
For protein expression, Trichoplusia ni (strain Tnao38; Hashimoto et al., 2010) cells were infected with 15 ml of virus in 250 ml of cells at a density of 2.3 × 106 cells ml−1 and incubated for 26 h at 28°C and 110 rev min−1 and then for a further 48 h at 22°C and 110 rev min−1. For co-expression, the cells were infected with 10 ml of each virus. Subsequently, the secreted ectodomains were purified from the supernatant by sequential Ni2+ (HisTrap Excel; GE Healthcare; equilibrated in 25 mM potassium phosphate pH 7.8, 500 mM NaCl) and StrepII (Strep-Tactin XT, IBA; equilibrated in 25 mM Tris pH 8.0, 250 mM NaCl, 1 mM EDTA) The proteins were further purified by (on either a Superdex 200 Increase 10/300 GL or a HiLoad 16/600 Superdex 200 pg column, both from GE Healthcare) equilibrated in 20 mM sodium citrate pH 5.0, 150 mM NaCl. Purified proteins were then concentrated using Amicon Ultra concentrators (molecular-weight cutoff 10 000; Millipore) and purity and structural integrity were assessed by SDS–PAGE and right-angle (RALS). The molecular weights of the proteins (as determined by RALS) are ∼30.2 kDa for AtSOBIR11–270 and ∼38.1 kDa for AtSOBIR11–283.
2.3. Crystallization and crystallographic data collection
Hexagonal SOBIR1 crystals (∼400 × 80 × 80 µm) developed in hanging drops composed of 1 µl protein solution (20 mg ml−1 in 20 mM sodium citrate pH 5.0, 150 mM NaCl) and 1 µl crystallization buffer [25%(w/v) PEG 3350, 1 M LiCl, 0.1 M sodium acetate pH 5.5] suspended in 1 ml of the latter as a reservoir solution. Crystals were cryoprotected by serial transfer into crystallization buffer supplemented with glycerol to a final concentration of 15%(v/v) and snap-cooled in liquid N2.
Native (λ = 1.033 Å, one 360° wedge at 0.1° oscillation) and redundant sulfur single-wavelength (SAD) data (λ = 2.079 Å, three 360° wedges at 0.1° oscillation, with χ set to −10°, 0° and 10°) were collected to 1.75 and 3.12 Å resolution, respectively, on beamline X06DA at the Swiss Light Source (SLS), Villigen, Switzerland equipped with a PILATUS 2M-F detector (Dectris) and a multi-axis goniometer. A second native data set to 1.55 Å resolution was recorded from a different crystal. Data processing and scaling were performed with XDS and XSCALE, respectively (version January 2018; Kabsch, 2010).
2.4. and refinement
The anomalous signal in the scaled SAD data set extended to ∼4.0 Å resolution when analysed with phenix.xtriage (Zwart et al., 2005; Adams et al., 2010). The structure was solved using the molecular replacement/single-wavelength (MR-SAD) method as implemented in Phaser (McCoy et al., 2007). An alignment of the SOBIR1 and SERK1 ectodomains (which share ∼30% sequence identity) was prepared in HHpred (Zimmermann et al., 2018) and input into CHAINSAW (Stein, 2008). The LRR ectodomain of SERK1 (PDB entry 4lsc; Santiago et al., 2013) with non-identical side chains trimmed to alanines was used as a search model. Phaser returned a single solution in P65, comprising a dimer in the The first molecule had a Phaser rotation-function Z-score (RFZ) of 3.5, a translation-function Z-score (TFZ) of 6.6 and an associated log-likelihood gain (LLG) of 60. The TFZ for the second molecule was 14.4, with a final refined LLG of 351. The resulting partial model [the starting figure of merit (FOM) was 0.355 at 3.12 Å resolution] was used to locate nine putative sulfur sites by log-likelihood-gradient completion in Phaser (the final FOM was 0.428). Density-modification and phase extension to 1.75 Å resolution in phenix.resolve (Terwilliger, 2003) yielded a readily interpretable electron-density map. The structure was completed by alternating cycles of manual model building and correction in Coot (Emsley & Cowtan, 2004) and restrained TLS against a 1.55 Å resolution native data set in phenix.refine (Afonine et al., 2012; Table 1). Inspection of the final model with phenix.molprobity (Chen et al., 2010) revealed excellent stereochemistry (Table 1). Structural representations were generated in PyMOL (https://pymol.org) and UCSF Chimera (Pettersen et al., 2004). Electrostatic potentials were calculated using the PyMOL APBS plugin (Jurrus et al., 2018). To visualize phased anomalous difference maps, |FA| values and phase shifts were calculated from the SAD data set in XPREP (Bruker) and input into ANODE (Thorn & Sheldrick, 2011) together with the final SOBIR1 coordinate file. The resulting map file was converted to CCP4 format using SHELX2MAP. The crystallographic coordinates and structure factors have been deposited in the Protein Data Bank (https://rcsb.org) as entry 6r1h. Native and sulfur SAD diffraction images and XDS processing files have been deposited at zenodo.org (https://doi.org/10.5281/zenodo.2594485 and https://doi.org/10.5281/zenodo.2595891, respectively).
‡Final figure of merit of the MR-SAD experiment as defined in Phaser (McCoy et al., 2007). §As defined in phenix.refine (Afonine et al., 2012). |
2.5. Analytical size-exclusion chromatography
Analytical M sodium citrate pH 5.0, 250 mM NaCl. 200 µg of protein, injected in a volume of 100 µl, was loaded onto the column and elution at 0.75 ml min−1 was monitored by ultraviolet absorbance at λ = 280 nm. Peak fractions were analysed by SDS–PAGE.
(SEC) experiments were performed on a Superdex 200 Increase 10/300 GL column (GE Healthcare) pre-equilibrated in 20 m2.6. Right-angle light scattering
The oligomeric state of SOBIR1 was analysed by M sodium citrate pH 5.0, 250 mM NaCl at a column temperature of 35°C and a flow rate of 0.7 ml min−1. The data were analysed using the OMNISEC software (v.10.41).
paired with a right-angle light-scattering (RALS) and a refractive-index (RI) detector using an OMNISEC RESOLVE/REVEAL combined system. Calibration of the instrument was carried out using a BSA standard (Thermo Scientific Albumin Standard). 100 µg of protein in a volume of 50 µl was separated on a Superdex 200 Increase column (GE Healthcare) in 20 m3. Results
We obtained the A. thaliana SOBIR1 ectodomain (residues 1–270) by secreted expression in insect cells (Fig. 2a; see Section 2). The N-glycosylated protein was crystallized using the vapour-diffusion method and the structure was solved by MR-SAD on beamline X06DA at the Swiss Light Source (see Section 2 and Table 1; Basu et al., 2019). The solution in P65 comprises a dimer in the with the nine putative sulfur sites corresponding to a disulfide bridge in the N-terminal LRR capping domain, to a free cysteine and a methionine residue in the LRR core and to a free ion, which we interpreted as a chlorine anion originating from the crystallization buffer (Fig. 2b). The model was refined against an isomorphous, high-resolution native data set at 1.55 Å resolution. An example region of the final (2Fo − Fc) map is shown in Fig. 2(c), highlighting the only N-glycan located in the structure, which was attached to Asn154.
The refined model reveals the presence of five LRRs in the SOBIR1 ectodomain, not four as initially proposed (Gao et al., 2009; Figs. 3a and 3b). A genetic missense allele (sobir1-8; Val129 to Met), which causes a weak sobir1 loss-of-function phenotype, maps to the outer face of the LRR core in LRR2 (Gao et al., 2009). The SOBIR1 LRR core is masked by an N-terminal capping domain, as found in many plant LRR-RKs (residues 34–90, shown in yellow in Fig. 3b; Hohmann et al., 2017). Loop residues 57–63 appear disordered in our structure (shown in grey in Fig. 3b). The N-terminal cap features a protruding, unusual β-hairpin structure (shown in magenta in Fig. 3b), which presents several conserved basic and hydrophobic amino acids on its surface (Fig. 3c).
A highly basic, low-complexity region is located at the C-termini of SOBIR ectodomains from different plant species (Fig. 4c). In line with this, the C-terminal capping domain, which in plant LRR-RKs is normally terminated by a well defined disulfide bond (Hohmann et al., 2017), is found to be largely disordered in our SOBIR1 structure (Fig. 3b). This is reminiscent of the LRR-RK SERK3, which contains a proline-rich sequence at the C-terminus of its ectodomain and the C-terminal capping domain of which was also found to be largely unstructured in different SERK3–LRR-RK complex structures (Fig. 3d; Sun, Li et al., 2013; Sun, Han et al., 2013).
Analysis of the electrostatic e), some of which are highly conserved among SOBIR orthologues from different plant species (Figs. 3f and 4c).
of the SOBIR1 ectodomain revealed several basic patches on the inner side of the LRR solenoid (Fig. 3We next compared the SOBIR1 ectodomain with other plant LRR-RKs. A structural homology search with DALI (Holm & Sander, 1993) returned several large and small LRR ectodomains as the top hits. We focused our analysis on plant LRR-RKs with small ectodomains. The ectodomain of the SERK1 co-receptor kinase (PDB entry 4lsc; Santiago et al., 2013) has a DALI Z-score of 21.6 and superimposes with SOBIR1 with a root-mean-square deviation (r.m.s.d.) of ∼1 Å comparing 123 corresponding Cα atoms (shown in yellow in Fig. 4a). SERK1 shares the number of LRRs and the N-terminal capping domain with SOBIR1, but has a canonical, disulfide-bond-stabilized C-terminal cap (Hohmann et al., 2017). The peptide-ligand-sensing PRK6 ectodomain (PDB entry 5yah; DALI Z-score 19.2; Zhang et al., 2017) superimposes with an r.m.s.d. of ∼1.2 Å comparing 99 corresponding Cα atoms (shown in purple in Fig. 4a). The ectodomain of the BIR3 LRR receptor pseudokinase (PDB entry 6fg8; DALI Z-score 20.7; Hohmann, Nicolet et al., 2018) aligns with an r.m.s.d. of ∼1.2 Å comparing 120 corresponding Cα atoms (shown in green in Fig. 4a). Together, our structural comparisons reveal that functionally diverse plant receptor ectodomains share strong structural homology, with the exception of the N-terminal and C-terminal capping domains. In SOBIR1, a unique β-hairpin protrudes from the N-terminal cap (Figs. 3b and 4a). This hairpin and a loop structure connecting the N-terminal capping helix to the β-hairpin both appear to be flexible, as judged by analysis of the crystallographic temperature factors (Fig. 4b).
We located a crystallographic SOBIR1 dimer in our crystals, which would bring the C-terminal capping domains (connecting to the transmembrane helices in the context of the full-length receptor) into close proximity (Fig. 2a). Analysis of the crystal packing with the PISA server (Krissinel & Henrick, 2007) revealed a rather small complex interface of ∼1000 Å2 formed by several salt bridges, hydrogen bonds and a few hydrophobic contacts. We next performed analytical and right-angle light-scattering experiments to assess the oligomeric state of the SOBIR1 extracellular domain in solution. At pH 5.0 (which corresponds to the pH associated with the plant cell-wall compartment), we found our SOBIR11–270 construct used for crystallization to be a monodisperse monomer with an approximate molecular weight of 30.2 kDa (the calculated molecular weight is 27.4 kDa; Figs. 5a and 5b). A longer construct that includes the complete extracellular region of SOBIR1 up to the transmembrane helix (residues 1–283) also behaves as a monomer, with an observed molecular weight of 38.1 kDa (the calculated molecular weight is 33.3 kDa; Figs. 5a and 5b). These experiments in solution suggest that the SOBIR1 dimer observed in our structure is likely to represent a crystal-packing artefact.
We next sought to test the genetic and in vivo biochemical finding that SOBIR1 forms heteromeric complexes with RLPs. To this end, we produced the LRR ectodomains of RLP23 and RLP32 from A. thaliana by secreted expression in insect cells (see Section 2). Utilization of the native signal peptide (AtNat), the baculoviral glycoprotein 67 signal peptide (GP67) or the signal peptide from Drosophila melanogaster binding protein (DmBiP; Fig. 6a) all lead to accumulation and secretion of RLP23, but we found that the protein either aggregated or degraded in analytical assays (Fig. 6b). RLP32 showed a similar behaviour when expressed using the different signal (Fig. 6b). We next varied the C-terminus of these constructs, omitting the positively charged C-terminal tail (Fig. 6a). However, this did not improve the behaviour of the resulting recombinant proteins. We next replaced the flexible N-terminal capping domain of RLP23 with the N-terminal cap of the STRUBBELIG RECEPTOR FAMILY 6 LRR-RK, but the resulting chimeric protein was still rapidly degraded in our preparations. Finally, we co-expressed the RLP231–849 ectodomain with its bona fide peptide ligand NLP20 (Böhm et al., 2014), the SOBIR11–283 ectodomain and the LRR domain of the putative SERK1 co-receptor kinase (Albert et al., 2015). However, co-expression of the ectodomains of the putative signalling complex also did not improve the biochemical behaviour of RLP23, and thus we could not assess the role of the SOBIR1 ectodomain in immune-complex formation.
4. Discussion
The plant membrane receptor kinase SOBIR1 is a central regulator of plant immunity. It is required for signal transduction of conserved microbe-associated molecular patterns sensed by receptor-like proteins which lack cytoplasmic signalling domains (Gust & Felix, 2014). In genetic terms, the deletion of BIR1 or the overexpression of SERK3 leads to an overactivation of immune signalling (Gao et al., 2009; Domínguez-Ferreras et al., 2015). In both cases these effects can be suppressed by the deletion of SOBIR1, suggesting that an RLP–SOBIR1–SERK complex, negatively regulated by BIR1, controls this in wild-type plants. SOBIR1 and RLPs are likely to form heteromeric signalling complexes. The conserved GxxxG motifs in their transmembrane regions, but neither the SOBIR1 LRR ectodomain nor the kinase domain, are required for this interaction to occur in planta (Bi et al., 2016). However, both an active kinase domain and the SOBIR1 LRR ectodomain are required for signalling (Bi et al., 2016; van der Burgh et al., 2019). The of the SOBIR1 ectodomain reveals five LRRs sandwiched between unusual N-terminal and C-terminal capping domains (Fig. 2).
The known genetic sobir1-8 missense allele (Gao et al., 2009) maps to the surface of LRR2, a unique β-hairpin structure presents conserved aromatic amino acids (Phe73 and Tyr85) at the surface of the domain, and the inner surface of the LRR core contains conserved patches of basic residues. Together, these structural observations argue for a role of the SOBIR1 ectodomain in mediating protein–protein interactions at the cell surface. In this respect, it is of note that the area corresponding to the disordered loop region in the SOBIR1 N-terminal cap (shown in grey in Fig. 2b) is involved in receptor–ligand interactions in the structurally related SERK LRR-RKs (Santiago et al., 2013, 2016; Sun, Li et al., 2013; Hohmann et al., 2017; Hohmann, Santiago et al., 2018).
At this point, we can only speculate about the nature of these protein–protein interactions. RLPs involved in plant development have been shown to directly interact with the ectodomains of large ligand-binding LRR-RKs, contributing to the sensing of small protein hormones (Lin et al., 2017). We speculate that the ectodomain of SOBIR1 may play a similar role in RLP-mediated immune signalling, potentially by contributing conserved interaction surfaces from the LRR core and/or from the protruding β-hairpin, as seen in our artificial crystallographic dimer (Figs. 2b and 5). In fact, the rather basic inner surface of the SOBIR1 LRR core (Fig. 3e) may provide a docking platform for the highly negatively charged sequence stretch in different RLPs located adjacent to the RLP C-terminal capping domain (Gust & Felix, 2014).
Alternatively, the SOBIR1 ectodomain could represent a binding platform for pathogen- or plant cell-wall-derived ligands, based on the structural and biochemical observation that LRR domains with few repeats such as the plant RPK6 or animal lymphocyte receptors have evolved to bind peptide and small-molecule ligands (Zhang et al., 2017; Han et al., 2008).
To test these various hypotheses, we expressed different RLPs from Arabidopsis for biochemical interaction studies, as previously reported for the RLP23 ectodomain (Albert et al., 2015). However, using different expression and purification strategies (different signal construct lengths and co-expression with a secreted peptide ligand, SOBIR1 and SERKs) we could not obtain well behaving samples of RLP23 or RLP32 for quantitative binding assays. In our hands, it is thus presently not possible to dissect the contribution of the SOBIR1 ectodomain to RLP ligand sensing, complex formation and signalling at the biochemical and structural levels.
Supporting information
Link https://doi.org/10.5281/zenodo.2594485
of the LRR ectodomain from the plant immune receptor kinase SOBIR1 from Arabidopsis thaliana - native dataset
Link https://doi.org/10.5281/zenodo.2595891
of the LRR ectodomain from the plant immune receptor kinase SOBIR1 from Arabidopsis thaliana - sulfur SAD datasets
Footnotes
‡Present address: Institute of Molecular Biotechnology of the Austrian Academy of Sciences (IMBA) and Research Institute of Molecular Pathology (IMP), Vienna Biocenter (VBC), 1030 Vienna, Austria.
Acknowledgements
We thank T. Nürnberger and L. Zhang for providing their RLP23 expression construct for testing and the staff of beamline X06DA (PXIII) at the Swiss Light Source (SLS) Villigen, Switzerland for technical help during data collection.
Funding information
This work was supported by the `SICOPID' ERA-CAPS network fund (to MH, T. Nürnberger, C. Zipfel, Z. Nimchuk & Y. Jaillais) with Swiss National Science Foundation grant No. 31CP30_180213.
References
Adams, P. D., Afonine, P. V., Bunkóczi, G., Chen, V. B., Davis, I. W., Echols, N., Headd, J. J., Hung, L.-W., Kapral, G. J., Grosse-Kunstleve, R. W., McCoy, A. J., Moriarty, N. W., Oeffner, R., Read, R. J., Richardson, D. C., Richardson, J. S., Terwilliger, T. C. & Zwart, P. H. (2010). Acta Cryst. D66, 213–221. Web of Science CrossRef CAS IUCr Journals Google Scholar
Afonine, P. V., Grosse-Kunstleve, R. W., Echols, N., Headd, J. J., Moriarty, N. W., Mustyakimov, M., Terwilliger, T. C., Urzhumtsev, A., Zwart, P. H. & Adams, P. D. (2012). Acta Cryst. D68, 352–367. Web of Science CrossRef CAS IUCr Journals Google Scholar
Albert, I., Böhm, H., Albert, M., Feiler, C. E., Imkampe, J., Wallmeroth, N., Brancato, C., Raaymakers, T. M., Oome, S., Zhang, H., Krol, E., Grefen, C., Gust, A. A., Chai, J., Hedrich, R., Van den Ackerveken, G. & Nürnberger, T. (2015). Nature Plants, 1, 15140. CrossRef PubMed Google Scholar
Almagro Armenteros, J. J., Tsirigos, K. D., Sønderby, C. K., Petersen, T. N., Winther, O., Brunak, S., von Heijne, G. & Nielsen, H. (2019). Nature Biotechnol. 37, 420–423. CrossRef Google Scholar
Anne, P., Amiguet-Vercher, A., Brandt, B., Kalmbach, L., Geldner, N., Hothorn, M. & Hardtke, C. S. (2018). Development, 145, dev162354. CrossRef PubMed Google Scholar
Basu, S., Finke, A., Vera, L., Wang, M. & Olieric, V. (2019). Acta Cryst. D75, 262–271. CrossRef IUCr Journals Google Scholar
Bi, G., Liebrand, T. W. H., Bye, R. R., Postma, J., van der Burgh, A. M., Robatzek, S., Xu, X. & Joosten, M. H. A. J. (2016). Mol. Plant Pathol. 17, 96–107. CrossRef CAS PubMed Google Scholar
Böhm, H., Albert, I., Oome, S., Raaymakers, T. M., Van den Ackerveken, G. & Nürnberger, T. (2014). PLoS Pathog. 10, e1004491. PubMed Google Scholar
Brandt, B. & Hothorn, M. (2016). Curr. Biol. 26, R225–R226. CrossRef CAS PubMed Google Scholar
Burgh, A. M. van der, Postma, J., Robatzek, S. & Joosten, M. H. A. J. (2019). Mol. Plant Pathol. 20, 410–422. PubMed Google Scholar
Catanzariti, A.-M., Do, H. T. T., Bru, P., de Sain, M., Thatcher, L. F., Rep, M. & Jones, D. A. (2017). Plant J. 89, 1195–1209. CrossRef CAS PubMed Google Scholar
Chen, V. B., Arendall, W. B., Headd, J. J., Keedy, D. A., Immormino, R. M., Kapral, G. J., Murray, L. W., Richardson, J. S. & Richardson, D. C. (2010). Acta Cryst. D66, 12–21. Web of Science CrossRef CAS IUCr Journals Google Scholar
Cui, Y., Hu, C., Zhu, Y., Cheng, K., Li, X., Wei, Z., Xue, L., Lin, F., Shi, H., Yi, J., Hou, S., He, K., Li, J. & Gou, X. (2018). Plant Cell, 30, 2383–2401. CrossRef CAS PubMed Google Scholar
Domazakis, E., Wouters, D., Visser, R. G. F., Kamoun, S., Joosten, M. H. A. J. & Vleeshouwers, V. G. A. A. (2018). Mol. Plant Microbe Interact. 31, 795–802. CrossRef PubMed Google Scholar
Domínguez-Ferreras, A., Kiss-Papp, M., Jehle, A. K., Felix, G. & Chinchilla, D. (2015). Plant Physiol. 168, 1106–1121. PubMed Google Scholar
Dufayard, J.-F., Bettembourg, M., Fischer, I., Droc, G., Guiderdoni, E., Périn, C., Chantret, N. & Diévart, A. (2017). Front. Plant Sci. 8, 381. PubMed Google Scholar
Emsley, P. & Cowtan, K. (2004). Acta Cryst. D60, 2126–2132. Web of Science CrossRef CAS IUCr Journals Google Scholar
Gao, M., Wang, X., Wang, D., Xu, F., Ding, X., Zhang, Z., Bi, D., Cheng, Y. T., Chen, S., Li, X. & Zhang, Y. (2009). Cell Host Microbe, 6, 34–44. CrossRef PubMed CAS Google Scholar
Gibson, D. G., Young, L., Chuang, R.-Y., Venter, J. C., Hutchison, C. A. & Smith, H. O. (2009). Nature Methods, 6, 343–345. CrossRef PubMed CAS Google Scholar
Gust, A. A. & Felix, G. (2014). Curr. Opin. Plant Biol. 21, 104–111. CrossRef CAS PubMed Google Scholar
Han, B. W., Herrin, B. R., Cooper, M. D. & Wilson, I. A. (2008). Science, 321, 1834–1837. Web of Science CrossRef PubMed CAS Google Scholar
Hashimoto, Y., Zhang, S. & Blissard, G. W. (2010). BMC Biotechnol. 10, 50. Google Scholar
Hohmann, U., Lau, K. & Hothorn, M. (2017). Annu. Rev. Plant Biol. 68, 109–137. CrossRef CAS PubMed Google Scholar
Hohmann, U., Nicolet, J., Moretti, A., Hothorn, L. A. & Hothorn, M. (2018). Nature Plants, 4, 345–351. Web of Science CrossRef CAS PubMed Google Scholar
Hohmann, U., Santiago, J., Nicolet, J., Olsson, V., Spiga, F. M., Hothorn, L. A., Butenko, M. A. & Hothorn, M. (2018). Proc. Natl Acad. Sci. USA, 115, 3488–3493. CrossRef CAS PubMed Google Scholar
Holm, L. & Sander, C. (1993). J. Mol. Biol. 233, 123–138. CrossRef CAS PubMed Web of Science Google Scholar
Hu, C., Zhu, Y., Cui, Y., Cheng, K., Liang, W., Wei, Z., Zhu, M., Yin, H., Zeng, L., Xiao, Y., Lv, M., Yi, J., Hou, S., He, K., Li, J. & Gou, X. (2018). Nature Plants, 4, 205–211. CrossRef CAS PubMed Google Scholar
Jehle, A. K., Lipschis, M., Albert, M., Fallahzadeh-Mamaghani, V., Fürst, U., Mueller, K. & Felix, G. (2013). Plant Cell, 25, 2330–2340. CrossRef CAS PubMed Google Scholar
Jurrus, E., Engel, D., Star, K., Monson, K., Brandi, J., Felberg, L. E., Brookes, D. H., Wilson, L., Chen, J., Liles, K., Chun, M., Li, P., Gohara, D. W., Dolinsky, T., Konecny, R., Koes, D. R., Nielsen, J. E., Head-Gordon, T., Geng, W., Krasny, R., Wei, G.-W., Holst, M. J., McCammon, J. A. & Baker, N. A. (2018). Protein Sci. 27, 112–128. Web of Science CrossRef CAS PubMed Google Scholar
Kabsch, W. (2010). Acta Cryst. D66, 125–132. Web of Science CrossRef CAS IUCr Journals Google Scholar
Kabsch, W. & Sander, C. (1983). Biopolymers, 22, 2577–2637. CrossRef CAS PubMed Web of Science Google Scholar
Krissinel, E. & Henrick, K. (2007). J. Mol. Biol. 372, 774–797. Web of Science CrossRef PubMed CAS Google Scholar
Liebrand, T. W. H., van den Berg, G. C. M., Zhang, Z., Smit, P., Cordewener, J. H. G., America, A. H. P., Sklenar, J., Jones, A. M. E., Tameling, W. I. L., Robatzek, S., Thomma, B. P. H. J. & Joosten, M. H. A. J. (2013). Proc. Natl Acad. Sci. USA, 110, 10010–10015. CrossRef CAS PubMed Google Scholar
Lin, G., Zhang, L., Han, Z., Yang, X., Liu, W., Li, E., Chang, J., Qi, Y., Shpak, E. D. & Chai, J. (2017). Genes Dev. 31, 927–938. CrossRef CAS PubMed Google Scholar
Ma, C., Liu, Y., Bai, B., Han, Z., Tang, J., Zhang, H., Yaghmaiean, H., Zhang, Y. & Chai, J. (2017). Cell Res. 27, 1521–1524. CrossRef PubMed Google Scholar
McCoy, A. J., Grosse-Kunstleve, R. W., Adams, P. D., Winn, M. D., Storoni, L. C. & Read, R. J. (2007). J. Appl. Cryst. 40, 658–674. Web of Science CrossRef CAS IUCr Journals Google Scholar
Möller, S., Croning, M. D. & Apweiler, R. (2001). Bioinformatics, 17, 646–653. PubMed Google Scholar
Pettersen, E. F., Goddard, T. D., Huang, C. C., Couch, G. S., Greenblatt, D. M., Meng, E. C. & Ferrin, T. E. (2004). J. Comput. Chem. 25, 1605–1612. Web of Science CrossRef PubMed CAS Google Scholar
Postma, J., Liebrand, T. W. H., Bi, G., Evrard, A., Bye, R. R., Mbengue, M., Kuhn, H., Joosten, M. H. A. J. & Robatzek, S. (2016). New Phytol. 210, 627–642. CrossRef CAS PubMed Google Scholar
R Core Team (2014). The R Project for Statistical Computing, https://www.R-project.org. Google Scholar
Santiago, J., Brandt, B., Wildhagen, M., Hohmann, U., Hothorn, L. A., Butenko, M. A. & Hothorn, M. (2016). Elife, 5, 10. CrossRef Google Scholar
Santiago, J., Henzler, C. & Hothorn, M. (2013). Science, 341, 889–892. Web of Science CrossRef CAS PubMed Google Scholar
Schmidt, E. D., Guzzo, F., Toonen, M. A. & de Vries, S. C. (1997). Development, 124, 2049–2062. CAS PubMed Google Scholar
Shiu, S. H. & Bleecker, A. B. (2001). Proc. Natl Acad. Sci. USA, 98, 10763–10768. Web of Science CrossRef PubMed CAS Google Scholar
Stein, N. (2008). J. Appl. Cryst. 41, 641–643. Web of Science CrossRef CAS IUCr Journals Google Scholar
Sun, Y., Han, Z., Tang, J., Hu, Z., Chai, C., Zhou, B. & Chai, J. (2013). Cell Res. 23, 1326–1329. Web of Science CrossRef CAS PubMed Google Scholar
Sun, Y., Li, L., Macho, A. P., Han, Z., Hu, Z., Zipfel, C., Zhou, J.-M. & Chai, J. (2013). Science, 342, 624–628. Web of Science CrossRef CAS PubMed Google Scholar
Terwilliger, T. C. (2003). Methods Enzymol. 374, 22–37. Web of Science CrossRef PubMed CAS Google Scholar
Thorn, A. & Sheldrick, G. M. (2011). J. Appl. Cryst. 44, 1285–1287. Web of Science CrossRef CAS IUCr Journals Google Scholar
Wang, G., Ellendorff, U., Kemp, B., Mansfield, J. W., Forsyth, A., Mitchell, K., Bastas, K., Liu, C.-M., Woods-Tör, A., Zipfel, C., de Wit, P. J. G. M., Jones, J. D. G., Tör, M. & Thomma, B. P. H. J. (2008). Plant Physiol. 147, 503–517. CrossRef PubMed CAS Google Scholar
Wang, Y., Xu, Y., Sun, Y., Wang, H., Qi, J., Wan, B., Ye, W., Lin, Y., Shao, Y., Dong, S., Tyler, B. M. & Wang, Y. (2018). Nature Commun. 9, 594. CrossRef Google Scholar
Zhang, W., Fraiture, M., Kolb, D., Löffelhardt, B., Desaki, Y., Boutrot, F. F. G., Tör, M., Zipfel, C., Gust, A. A. & Brunner, F. (2013). Plant Cell, 25, 4227–4241. CrossRef CAS PubMed Google Scholar
Zhang, X., Liu, W., Nagae, T. T., Takeuchi, H., Zhang, H., Han, Z., Higashiyama, T. & Chai, J. (2017). Nature Commun. 8, 1331. CrossRef Google Scholar
Zimmermann, L., Stephens, A., Nam, S.-Z., Rau, D., Kübler, J., Lozajic, M., Gabler, F., Söding, J., Lupas, A. N. & Alva, V. (2018). J. Mol. Biol. 430, 2237–2243. Web of Science CrossRef CAS PubMed Google Scholar
Zwart, P. H., Grosse-Kunstleve, R. W. & Adams, P. D. (2005). CCP4 Newsl. Protein Crystallogr. 43, contribution 7. Google Scholar
This is an open-access article distributed under the terms of the Creative Commons Attribution (CC-BY) Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original authors and source are cited.