Rice Blast Research Articles

Deciphering early responsive signature genes in rice blast disease: an integrated temporal transcriptomic study.

Rice blast disease, caused by Magnaporthe oryzae, reigns as the top-most cereal killer, jeopardizing global food security. This necessitates the timely scouting of pathogen stress-responsive genes during the early infection stages. Thus, we integrated time-series microarray (GSE95394) and RNA-Seq (GSE131641) datasets to decipher rice transcriptome responses at 12- and 24-h post-infection (Hpi). Our analysis revealed 1580 differentially expressed genes (DEGs) overlapped between datasets. We constructed a protein-protein interaction (PPI) network for these DEGs and identified significant subnetworks using the MCODE plugin. Further analysis with CytoHubba highlighted eight plausible hub genes for pathogenesis: RPL8 (upregulated) and RPL27, OsPRPL3, RPL21, RPL9, RPS5, OsRPS9, and RPL17 (downregulated). We validated the expression levels of these hub genes in response to infection, finding that RPL8 exhibited significantly higher expression compared with other downregulated genes. Remarkably, RPL8 formed a distinct cluster in the co-expression network, whereas other hub genes were interconnected, with RPL9 playing a central role, indicating its pivotal role in coordinating gene expression during infection. Gene Ontology highlighted the enrichment of hub genes in the ribosome and protein translation processes. Prior studies suggested that plant immune defence activation diminishes the energy pool by suppressing ribosomes. Intriguingly, our study aligns with this phenomenon, as the identified ribosomal proteins (RPs) were suppressed, while RPL8 expression was activated. We anticipate that these RPs could be targeted to develop new stress-resistant rice varieties, beyond their housekeeping role. Overall, integrating transcriptomic data revealed more common DEGs, enhancing the reliability of our analysis and providing deeper insights into rice blast disease mechanisms.

Allelic variation in rice blast resistance: a pathway to sustainable disease management.

Rice blast is a major problem in agriculture, affecting rice production and threatening food security worldwide. This disease, caused by the fungus Magnaporthe oryzae, has led to a lot of research since the discovery of the first resistance gene, pib, in 1999. Researchers have now identified more than 50 resistance genes on eight of the twelve chromosomes in rice, each targeting different strains of the pathogen.These genes are spread out across seventeen different loci. These genes, which primarily code for nucleotide-binding and leucine-rich repeat proteins, play an important part in the defense of rice against the pathogen, either alone or in combination with other genes. An important characteristic of these genes is the allelic or paralogous interactions that exist within these loci. These relationships contribute to the gene's increased capacity for evolutionary adaptation. The ability of resistance proteins to recognize and react to novel effectors is improved by the frequent occurrence of variations within the domains that are responsible for recognizing pathogen effectors. The purpose of this review is to summarize the progress that has been made in identifying these essential genes and to investigate the possibility of utilizing the allelic variants obtained from these genes in future rice breeding efforts to increase resistance to rice blast.

A repressive H3K36me2 reader mediates Polycomb silencing

In animals, evolutionarily conserved Polycomb repressive complex 2 (PRC2) catalyzes histone H3 lysine 27 trimethylation (H3K27me3) and PRC1 functions in recruitment and transcriptional repression. However, the mechanisms underlying H3K27me3-mediated stable transcriptional silencing are largely unknown, as PRC1 subunits are poorly characterized in fungi. Here, we report that in the filamentous fungus Magnaporthe oryzae, the N-terminal chromodomain and C-terminal MRG domain of Eaf3 play key roles in facultative heterochromatin formation and transcriptional silencing. Eaf3 physically interacts with Ash1, Eed, and Sin3, encoding an H3K36 methyltransferase, the core subunit of PRC2, and a histone deacetylation co-suppressor, respectively. Eaf3 co-localizes with a set of repressive Ash1-H3K36me2 and H3K27me3 loci and mediates their transcriptional silencing. Furthermore, Eaf3 acts as a histone reader for the repressive H3K36me2 and H3K27me3 marks. Eaf3-occupied regions are associated with increased nucleosome occupancy, contributing to transcriptional silencing in M. oryzae. Together, these findings reveal that Eaf3 is a repressive H3K36me2 reader and plays a vital role in Polycomb gene silencing and the formation of facultative heterochromatin in fungi.

A novel antifungal peptide, SP1.2, from Rhodopseudomonas palustris against the rice blast pathogen.

Rice blast has a significant detrimental impact on rice yields, so developing efficient biological control technologies is an effective means for rice blast prevention and control. The GroEL protein has proven to be effective at preventing and managing the pathogenicity of rice blast. Here, we analyzed the amino acid sequence of the GroEL protein and synthesized the '60 kDa chaperonin signature' (350-373 amino acids) peptide SP1.2, which has potent antifungal activity. Notably, the SP1.2 peptide exhibited potent fungicidal activity against Magnaporthe oryzae, effectively inhibiting appressorium germination. Electron microscopy revealed that SP1.2 disrupted the fungal plasma membrane and bound to multiple bioactive phosphoinositides in vitro, triggering the production of reactive oxygen species. Furthermore, it also caused an increase in the acetylation of M. oryzae and induced autophagy in cells. The spray application of SP1.2 significantly reduced the number of disease spots caused by the fungal pathogen M. oryzae in rice, enhancing the defense response of rice plants. Field trials showed that the control effect was 64.59% after spraying SP1.2. Our study illustrates the antifungal activity of the structurally unique SP1.2 peptide against plant fungal pathogens and paves the way for the future development of this class of peptides as antifungal agents. © 2024 Society of Chemical Industry.

Vacuolar recruitment of retromer by a SNARE complex enables infection-related trafficking in rice blast.

The retromer complex is a conserved sorting machinery that maintains cellular protein homeostasis by transporting vesicles containing cargo proteins to defined destinations. It is known to sort proteins at the vacuole membranes for retrograde trafficking, preventing their degradation in the vacuole. However, the detailed mechanism of retromer recruitment to the vacuole membrane has not yet been elucidated. Here, we show that the vacuolar SNARE complex MoPep12-MoVti1-MoVam7-MoYkt6 regulates retromer-mediated vesicle trafficking by recruiting the retromer to the vacuole membrane, which promotes host invasion in Magnaporthe oryzae. Such recruitment is also essential for the retrieval of the autophagy regulator MoAtg8 and enables appressorium-mediated host penetration. Furthermore, the vacuolar SNARE subunits are involved in suppressing the host defense response by regulating the deployment of retromer-MoSnc1-mediated effector secretion. Altogether, our results provide insights into the mechanism of vacuolar SNAREs-dependent retromer recruitment which is necessary for pathogenicity-related membrane trafficking events in the rice blast fungus.

A rice amino acid transporter OsMP1 acts as a quantitative trait locus against blast fungus and leaf-blight bacterium.

Amino acid homeostasis is interconnected with the immune network of plants. During plant-pathogen interaction, amino acid transporters (AATs) have been shown to be involved in plant immune responses. However, the molecular mechanism by which how AATs function in this process remains elusive. In this study, we identify OsMP1 that acts as a quantitative trait locus against blast fungus from a joint analysis of GWAS and QTL mapping in rice. Heterogeneous expression of OsMP1 in yeast supports its function in transporting a wide range of amino acids, including Thr, Ser, Phe, His and Glu. OsMP1 could also mediate 15N-Glu efflux and influx in Xenopus oocyte cells. The expression of OsMP1 is dramatically induced by Magnaporthe oryzae in the resistant landrace Heikezijing, while remaining unresponsive in the susceptible landrace Suyunuo. Overexpressing OsMP1 in Suyunuo enhances disease resistance to blast fungus and leaf-blight bacterium without yield penalty. Furthermore, the overexpression of OsMP1 leads to increased accumulation of Thr, Ser, Phe and His in the leaves. And the heightened levels of these amino acids contribute to reduced disease susceptibility, which is associated with upregulated jasmonic acid pathway. Thus, our results elucidate the pivotal role of OsMP1 in disease resistance and provide a potential target for breeding more resistant rice cultivars without compromising yield.

Prevalence of Bacterial Leaf Blight in Rice Across Andhra Pradesh and In vitro Assessment of Silver and Copper Nanoparticles against Xanthomonas oryzae pv. oryzae

Prevalence of Bacterial Leaf Blight in Rice Across Andhra Pradesh and In vitro Assessment of Silver and Copper Nanoparticles against Xanthomonas oryzae pv. oryzae

Potency of Eucalyptus Oil and Citronella Oil in Suppressing Virulence Factors of Xanthomonas oryzae pv. oryzae

Bacterial leaf blight, caused by the bacterium Xanthomonas oryzae pv. oryzae (Xoo), is an important disease of rice and can cause yield losses of 10-50%. Efforts to control bacterial leaf blight in rice using eucalyptus oil and citronella oil have not been widely reported. This study aims to evaluate the potential inhibition of eucalyptus oil and citronella oil against X. oryzae pv. oryzae isolate code BaK_2 in vitro, focusing on X. oryzae pv. oryzae virulence factors. The virulence factor assay consisted of biofilm formation, exopolysaccharide (EPS) production and motility. The results showed that eucalyptus oil and citronella oil could inhibit the growth of X. oryzae pv. oryzae in vitro. The minimum inhibitory concentration (MIC) was 15% for eucalyptus oil and 5% for citronella oil. Virulence factor tests showed that eucalyptus oil and citronella oil had no significant effect on biofilm formation, but could reduce EPS formation and limit the movement of X. oryzae pv. oryzae by both swimming motility and motility.

Mitogen-Activated Protein Kinase Kinase OsMEK2 Positively Regulates Ca2+ Influx and Ferroptotic Cell Death during Rice Immune Responses.

Mitogen-activated protein (MAP) kinase (MAPK) signaling pathway is important in plant immune responses, involved in iron- and reactive oxygen species (ROS)-dependent ferroptotic cell death mediated by Ca2+. High Ca2+ influx triggered iron-dependent ROS accumulation, lipid peroxidation, and subsequent hypersensitive response (HR) cell death in rice (Oryza sativa). Apoplastic Ca2+ chelation by EGTA during avirulent Magnaporthe oryzae infection altered Ca2+, ROS, and Fe2+ accumulation, increasing rice susceptibility to infection. By contrast, acibenzolar-S-methyl (ASM), a plant defense activator, significantly enhanced Ca2+ influx, and H2O2 accumulation, triggering rice ferroptotic cell death during virulent Magnaporthe oryzae infection. Here, we report a novel role of the MAPK signaling pathway in regulating cytoplasmic Ca2+ increase during ferroptotic cell death in rice immunity, using the ΔOsmek2 knockout mutant rice. The knockout of rice OsMEK2 impaired the ROS accumulation, lipid peroxidation, and iron accumulation during avirulent M. oryzae infection. This study has shown that OsMEK2 could positively regulate iron- and ROS-dependent ferroptotic cell death in rice by modulating the expression of OsNADP-ME, OsRBOHB, OsPLC, and OsCNGC. This modulation indicates a possible mechanism for how OsMEK2 participates in Ca2+ regulation in rice ferroptotic cell death, suggesting its broader role in plant immune responses in response to M. oryzae infection.

Ammonium enhances rice resistance to Magnaporthe oryzae through H2O2 accumulation

Nitrogen (N) is essential for the physiological processes of plants. However, the specific mechanisms by which different nitrogen forms influence rice blast pathogenesis remain poorly understood. This study used hydroponic assays to explore how ammonium (NH4+) and nitrate (NO3−) affect rice after inoculation with Magnaporthe oryzae (M. oryzae). The results showed that NH4+, compared to NO3−, significantly reduced disease severity, fungal growth, fungal hyphae number, the expansion capacity of infectious hyphae, and disease-related loss of photosynthesis. Additionally, NH4+ enhanced the expression of defense-related genes, including OsPBZ1, OsCHT1, OsPR1a, and OsPR10. NH4+-treated rice also exhibited higher hydrogen peroxide (H2O2) accumulation and increased antioxidant enzyme activities. Moreover, susceptibility to rice blast disease increased when H2O2 was scavenged, while a reduction in susceptibility was observed with the application of exogenous H2O2. These results suggest that ammonium enhances rice resistance to M. oryzae, potentially through H2O2 accumulation. The findings provide valuable insights into how different nitrogen forms affect plant immunity in rice, which is crucial for controlling rice blast and ensuring stable food production.

Scenario of Bacterial Leaf Blight of Rice Caused by Xanthomonas oryzae pv. oryzae in Major Rice Growing Areas of Andhra Pradesh, India

Scenario of Bacterial Leaf Blight of Rice Caused by Xanthomonas oryzae pv. oryzae in Major Rice Growing Areas of Andhra Pradesh, India

Strategy for Monitoring the Blast Incidence in Crops of Bomba Rice Variety Using Remote Sensing Data

In this paper, we investigated the monitoring and characterization of the pest Magnaporthe oryzae, known as rice blast, in the Bomba rice variety at the Albufera Natural Park, located in Valencia, Spain during the 2022 and 2023 seasons. Using reflectance data from different Sentinel-2 satellite bands, various vegetative indices were calculated for each year. Significant differences in reflectance in the visible (B4), infrared (B8), red-edge (B6 and B7), and SWIR (B11) bands were detected between healthy and unhealthy fields. Additionally, variations were observed in the vegetation indices, with RVI and IRECI standing out for their higher accuracy in identifying blast-affected plots compared to NDVI and NDRE. Early differences in band values, vegetative indices, and spectral signatures were observed between the unhealthy and healthy plots, allowing for the anticipation of control treatments, whose effectiveness relies on timely intervention.

Understanding and manipulating the recognition of necrosis-inducing secreted protein 1 (NIS1) by BRI1-associated receptor kinase 1 (BAK1)

Necrosis-inducing secreted protein 1 (NIS1) is a core effector of Ascomycota and Basidiomycota fungi. They inhibit the immune responses of host plants mainly through interaction with the multi-functional coreceptor BRI1-associated receptor kinase 1 (BAK1). However, the structural mechanism of the NIS1 family and how they are recognized by BAK1 are unknown. Herein, we report the first crystal structure of the NIS1 family protein, the Magnaporthe oryzae NIS1 (MoNIS1), analyze the recognition mechanism of NIS1s by BAK1, and explore regulation of the NIS1-BAK1 interaction by a chemical compound. MoNIS1 exists as a β barrel formed by eight β strands, a folding mode that has not been reported. Hydrogen/deuterium exchange mass spectrometry (HDX-MS) assay suggested that β4-β5 loop and β5 strand of MoNIS1 participate in OsBAK1 interaction, which was supported by further single-point mutational assays. For OsBAK1, HDX-MS assay suggested four regions involved in MoNIS1 interaction. Additionally, we identified a compound that blocks MoNIS1-OsBAK1 interaction in vitro and inhibits the virulence of M. oryzae on rice. Collectively, we determined the first structure of NIS1 family effectors, presented the recognition mechanism of NIS1 by BAK1, and showed that blocking NIS1-BAK1 interaction could be a new target for fungicide development.

Integrating machine learning and change detection for enhanced crop disease forecasting in rice farming: A multi-regional study

Crop diseases are increasingly causing devastating yield losses each year, posing a significant threat to global food security. Currently, fungicide treatment is one of the most effective measures to mitigate these disease-induced yield losses. Accurately predicting disease occurrence, onset timing, and development is critical for optimizing fungicide application schedules to achieve high efficacy. In this study, we compiled weekly disease observations, crop management, and weather data from 207 locations across China, India, and Japan. We compared six machine learning (ML) models for their performance in simulating disease severity. By mimicking disease development curves and trends at early stages, we developed a novel change detection (CD) model, named rolling linear regression (RLR), and combined it with the best-performing ML model to predict the occurrence, severity, and onset dates of four major rice diseases: leaf blast (Magnaporthe oryzae), panicle-neck blast (Magnaporthe oryzae), sheath blight (Rhizoctonia solani), and false smut (Ustilaginoidea virens). Our findings showed that the RandomForestRegressor demonstrated the highest performance in simulating disease severity, with mean absolute errors (MAE) below 0.5 % and root mean square errors (RMSE) below 2.5 %. The RLR model showed a distinct advantage over the other four widely used CD models based on five evaluation metrics. Additionally, the paired RandomForestRegressor+RLR model achieved the highest F1-score, ranging from 0.7 to 0.8, in predicting disease occurrence, outperforming 29 other ML+CD model pairs. Furthermore, the RandomForestRegressor+RLR model predicted onset dates with fewer than 6 error days and accuracies ranging from 74 % to 87 %. Combining ML with CD models not only shows robust generalization across diverse environmental conditions but also proves highly effective for large-scale disease risk forecasting in rice farming regions. The adaptability of ML techniques, when sufficient training data are available, particularly enhances decision support systems aimed at optimizing rice disease management practices for growers across various regions. Our hybrid model thus presents a compelling advancement in the precision agriculture domain, with significant implications for improving disease management strategies for crops beyond rice through timely intervention. This approach can contribute to safeguarding global food security by reducing crop losses due to disease damage.

Genome-wide identification of nuclear factor -Y (NF–Y) transcription factor family in finger millet reveals structural and functional diversity

The Nuclear Factor Y (NF–Y) is one of the widely explored transcription factors (TFs) family for its potential role in regulating molecular mechanisms related to stress response and developmental processes.Finger millet (Eleusine coracana (L.) Gaertn) is a hardy and stress-tolerant crop where partial efforts have been made to characterize a few transcription factors. However, the NF–Y TF is still poorly explored and not well documented. The present study aims to identify and characterize NF–Y genes of finger millet using a bioinformatics approach. Genome mining revealed 57 EcNF-Y (Eleusine coracana Nuclear Factor-Y) genes in finger millet, comprising 18 NF-YA, 23 NF-YB, and 16 NF-YC genes. The gene organization, conserved motif, cis-regulatory elements, miRNA target sites, and three-dimensional structures of these NF-Ys were analyzed. The nucleotide substitution rate and gene duplication analysis showed the presence of 7 EcNF-YA, 10 EcNF-YB, and 8 EcNF-YC paralogous genes and revealed the possibilities of synonymous substitution and stabilizing selection during evolution. The role of NF-Ys of finger millet in abiotic stress tolerance was evident by the presence of relevant cis-elements such as ABRE (abscisic acid-responsive elements), DRE (dehydration-responsive element), MYB (myeloblastosis) or MYC (myelocytomatosis). Twenty-three isoforms of miR169, mainly targeting a single NF–Y gene, i.e., the EcNF-YA13 gene, were observed. This interaction could be targeted for finger millet improvement against Magnaporthe oryzae (blast fungus). Therefore, by this study, the putative functions related to biotic and abiotic stress tolerance for many of the EcNF-Y genes could be explored in finger millet.

Use of Biological Stress as a Novel Strategy to Control the Rice Blast Disease

Use of Biological Stress as a Novel Strategy to Control the Rice Blast Disease

Elucidating the role of nitrogen and silicon regimes in rice blast management and yield performance of Mushk Budji variety under field conditions

Elucidating the role of nitrogen and silicon regimes in rice blast management and yield performance of Mushk Budji variety under field conditions

Extensive immune receptor repertoire diversity in disease-resistant rice landraces

Plants have powerful defense mechanisms and extensive immune receptor repertoires, yet crop monocultures are prone to epidemic diseases. Rice (Oryza sativa) is susceptible to many diseases, such as rice blast caused by Magnaporthe oryzae. Varietal resistance of rice to blast relies on intracellular nucleotide binding, leucine-rich repeat (NLR) receptors that recognize specific pathogen molecules and trigger immune responses. In the Yuanyang terraces in southwest China, rice landraces rarely show severe losses to disease whereas commercial inbred lines show pronounced field susceptibility. Here, we investigate within-landrace NLR sequence diversity of nine rice landraces and eleven modern varieties using complexity reduction techniques. We find that NLRs display high sequence diversity in landraces, consistent with balancing selection, and that balancing selection at NLRs is more pervasive in landraces than modern varieties. Notably, modern varieties lack many ancient NLR haplotypes that are retained in some landraces. Our study emphasizes the value of standing genetic variation that is maintained in farmer landraces as a resource to make modern crops and agroecosystems less prone to disease. The conservation of landraces is, therefore, crucial for ensuring food security in the face of dynamic biotic and abiotic threats.

Effect of mutation of phaC on carbon supply, extracellular polysaccharide production, and pathogenicity of Xanthomonas oryzae pv. oryzae

Xanthomonas oryzae pv. oryzae (Xoo) causes bacterial blight in rice. Polyhydroxyalkanoates (PHAs) consitute a diverse group of biopolyesters synthesized by bacteria under nutrient-limited conditions. The phaC gene is important for PHA polymerization. We investigated the effects of phaC gene mutagensis in Xoo strain PXO99A. The phaC gene knock-out mutant exhibited reduced swarming ability relative to that of the wild-type. Under conditions where glucose was the sole sugar source, extracellular polysaccharide (EPS) production by ΔphaC declined by 44.8%. ΔphaC showed weak hypersensitive response (HR) induction in the leaves of non-host Nicotiana tabacum, concomitant with downregulation of hpa1 gene expression. When inoculated in rice leaves by the leaf-clipping method, ΔphaC displayed reduced virulence in terms of lesion length compared with the wild-type strain. The complemented strain showed no significant difference from the wild-type strain, suggesting that the deletion of phaC in Xoo induces significant alterations in various physiological and biological processes. These include bacterial swarming ability, EPS production, transcription of hrp genes, and glucose metabolism. These changes are intricately linked to the energy utilization and virulence of Xoo during plant infection. These findings revealed involvement of phaC in Xoo is in the maintaining carbon metabolism by functioning in the PHA metabolic pathway.

SPL50 Regulates Cell Death and Resistance to Magnaporthe Oryzae in Rice

BackgroundThe identification of spotted leaf 50 (spl50), a novel lesion mimic mutant (LMM) in rice, provides critical insights into the mechanisms underlying programmed cell death (PCD) and innate immunity in plants.ResultsBased on ethyl methane sulfonate (EMS)-induced mutagenesis, the spl50 mutant mimics hypersensitive responses in the absence of pathogen by displaying spontaneous necrotic lesions after the tillering phase. SPL50, an ARM repeat protein essential for controlling reactive oxygen species (ROS) metabolism and boosting resistance to blast disease, was identified by map-based cloning techniques. This work also demonstrates the detrimental effects of spl50 on photosynthetic efficiency and chloroplast development. The crucial significance of SPL50 in cellular signaling and stress response is shown by its localization to the cytoplasm and constitutive expression in various plant tissues. In light of growing concerns regarding global food security, this study highlights the pivotal role of SPL50 in regulating programmed cell death (PCD) and enhancing the immune response in plants, contributing to strategies for improving crop disease resistance.ConclusionsThe novel identification of the SPL50 gene in rice, encoding an ARM repeat protein, reveals its pivotal role in regulating PCD and innate immune responses independently of pathogen attack.