bioRxiv Science⌕ Search

bioRxiv · 10.1101/2023.11.21.567997

AvrSr27 is a zinc-bound effector with a modular structure important for immune recognition

Abstract

Stem rust, caused by the fungal pathogen Puccinia graminis f. sp.tritici (Pgt) is a major threat for wheat production and global food security. Central to the success of Pgt is the secretion of proteinaceous effectors that promote infection and colonisation, while immunity in wheat is driven by receptor-mediated recognition of these effectors resulting in pathogen avirulence. Here, we report the crystal structure of the cysteine-rich effector AvrSr27, the third experimentally derived structure of a Pgt effector. The AvrSr27 structure reveals a novel {beta}-strand rich modular fold consisting of two structurally similar domains and confirms the poor prediction we obtained from the AlphaFold2-derived model. The highly prevalent cysteine residues within the protein facilitate the co-ordination of 4 zinc molecules. Utilising the structure, we show that the N-terminal domain of AvrSr27 is sufficient for immune recognition and interaction by Sr27. The 7-cys motif sequence in each AvrSr27 domain, which facilitates zinc binding, was also found in two haustorially-expressed, structurally homologous Pgt proteins. Remarkably, despite relatively low sequence identity, we show that these proteins can associate with Sr27 and trigger cell death in heterologous systems and wheat protoplasts, albeit weaker than AvrSr27. Collectively, our findings have important implications for the field embarking on bespoke engineering of immunity receptors as solutions to plant disease.

Source connections

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Outram, M. A., Chen, J., Broderick, S., Li, Z., Aditya, S., Tasneem, N., Arndell, T., Blundell, C., Ericsson, D. J., Figueroa, M., Sperschneider, J., Dodds, P., Williams, S. J.. 2023-11-21. AvrSr27 is a zinc-bound effector with a modular structure important for immune recognition. https://doi.org/10.1101/2023.11.21.567997

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related preprints

In-cell structural analysis reveals a distinctive chloroplast ribosome in Chlamydomonas reinhardtii

Chloroplast ribosomes synthesize plastid-encoded components of photosynthetic machinery, yet their structure and organization remain poorly understood. We combined cryo-focused ion beam milling, cryo-electron tomography and subtomogram averaging to determine native chloroplast ribosomes in Chlamydomonas reinhardtii. The 4.4-4.9 [A] structure revealed a large arch-like extension on the small subunit (SSU). Comparisons with bacterial and plant chloroplast ribosomes, supported by proteomics, AlphaFold3 predictions and a recent atomic model, indicate that the arch is formed by insertions and extensions in SSU proteins. Classification resolved active, thylakoid-associated ribosomes with density adjacent to the nascent peptide exit and an arch-moved state enriched among thylakoid-associated particles, with coordinated displacement of the arch and beak. Phylogenetic analysis revealed an evolutionary mosaic: the uS3c insertion is broadly distributed across Chlorophyceae, whereas the uS2c insertion, uS5c and PSRP7 are concentrated in Chlamydomonadales, with PSRP7 also in Sphaeropleales. Nuclear-encoded components were recruited stepwise onto a plastid-encoded scaffold, with all four under comparable purifying selection. These findings link a lineage-specific SSU extension to ribosome dynamics, thylakoid association and evolution, highlighting the value of in-cell structural analysis.

plant biology↗

Implementation and calibration of the Vaganov-Shashkin model in the virtualRings R package

Process-based tree growth models provide a mechanistic framework for investigating how climate conditions regulate tree growth across daily to annual time scales. Yet, their broader application across species and environments is constrained by the limited accessibility in open-source environments and the difficulty of estimating physiological parameters that are rarely measured directly. Here, we present virtualRings, a new R package integrating the Vaganov-Shashkin model (VSM) and the RINGS3 models, and focus on the implementation and calibration of VSM. Using tree-ring width observations from seven Northern Hemisphere sites across various environmental conditions, we compared the traditional bootstrap-based calibration approach with the Covariance Matrix Adaptation Evolution Strategy (CMA-ES). CMA-ES improved agreement between simulated and observed radial tree growth and provided an efficient approach for model parameter estimation. We further evaluated practical CMA-ES settings to balance computational cost and performance and discussed its potential limitations. The virtualRings package provides an open and reproducible platform for tree growth simulation, facilitating the application of important process-based models across species and environments and the investigation of how temperature and moisture constraints regulate daily tree-ring formation across spatial and temporal scales.

plant biology↗

Timing of transient darkness shapes carbon-nitrogen metabolism and sugar signaling in sugarcane

Fluctuating light is common in field environments. Yet, the mechanisms by which C4 crops coordinate carbon and nitrogen metabolism during short-term carbon deprivation remain poorly understood. Here, we imposed transient darkness at different phases of the diel cycle to assess how the timing of light loss affects photosynthesis, carbohydrate turnover, amino acid dynamics, and sugar-sensing pathways in commercial sugarcane leaves. Early-day darkness significantly impaired photosynthetic induction and revealed a temporal disconnect between stomatal and metabolic limitations, whereas midday and late-day treatments caused temporary, time-specific disruptions in carbon assimilation. These shifts altered the balance between sucrose preservation and catabolic mobilization, leading to treatment-dependent changes in starch reserves and free amino acids. Core circadian components largely maintained their phase relationships, but their amplitudes varied across treatments, consistent with partial decoupling from carbon status. Darkness also reorganized energy signaling, with SnRK1 and DIN6 responses associated with greater declines in sucrose. Notably, trehalose-pathway transcripts showed marked changes in network connectivity, with ScTPSIIG consistently emerging as a highly connected candidate associated with photosynthetic performance, water-use traits, sugar sensing, and amino acid metabolism. Overall, these results indicate that the timing of carbon limitation and residual sucrose availability shape distinct metabolic responses, while trehalose metabolism provides a candidate regulatory layer coordinating carbon-nitrogen adjustment during the diel cycle, highlighting class II TPS proteins as targets for functional investigation of metabolic resilience in sugarcane.

plant biology↗