Search Results (369)

Accurate field-scale crop disease detection is crucial for precise decisions and for highly efficient multi-scale collaboration. UAV-based multispectral imaging technology offers advantages in terms of high efficiency and low cost. Deep learning shows potential for deep representation and fusion of spectral and spatial features. However, traditional manual disease surveys are limited by efficiency and cost, making it difficult to meet the large sample sizes required by deep learning. Therefore, we proposed a method for rice bacterial leaf blight detection using UAV-based multispectral imagery. This method integrates a cross-scale sample-label transfer, and a spectral–spatial dual-branch feature fusion architecture (DualRiceNet). We first used RTK positioning to transfer disease labels from near-ground RGB images to high-altitude multispectral images, effectively expanding the dataset and alleviating the scarcity of labeled samples. DualRiceNet employed a cross-attention mechanism to couple its spectral and spatial branches, thereby isolating disease-specific spatial–spectral patterns from complex interference from the farmland background. DualRiceNet achieved an overall accuracy (OA) of 92.3% on the same-distribution test set. In an independent scenario test set spanning multiple differences in geography, time, phenology, and variety, the model maintained the highest OA of 80.0%. Our method demonstrated an excellent generalization ability to real-world environmental variations in rice fields. Full article

Phytophthora capsici, an invasive oomycete pathogen causing blight in crops like cucurbits, tomatoes, and peppers, has led to significant economic losses. Due to the limitations of conventional control methods, research has focused on effective and eco-friendly biocontrol alternatives. The bacterial strain LT-22, identified as Bacillus velezensis, exhibits broad-spectrum antifungal activity and plant growth-promoting potential. This study investigated the biocontrol efficacy of volatile organic compounds (VOCs) from strain LT-22. LT-22 VOCs strongly inhibited P. capsici PC153 growth in vitro and reduced disease symptoms in pepper fruits. Microscopic observations showed that LT-22 VOCs caused significant morphological changes in P. capsici PC153 mycelium by disrupting cell wall and membrane integrity. The treatment increased malondialdehyde (MDA) levels and reduced cellulose content, further indicating that LT-22 VOCs compromise cell integrity to exert antifungal effects. Furthermore, 2-methylbutanoic acid was identified as the primary antifungal VOC, with an EC₅₀ value of 0.095 µL/mL against P. capsici PC153, lower than the reported plant-derived compounds. Together, these results indicate that strain LT-22 and its VOCs, especially 2-methylbutanoic acid, have significant potential as an effective biocontrol agent for managing Phytophthora blight. Full article

Rice (Oryza sativa) production faces serious threats from multiple biotic stresses, particularly the brown planthopper, rice blast, and bacterial blight. Developing resistant cultivars is the most sustainable control strategy. Compared to race-specific resistance genes, disrupting susceptibility genes often confers broader and potentially more durable resistance. However, engineering broad-spectrum resistance against both insect pests and pathogens by editing susceptibility genes remains challenging. In this study, we employed multiplex CRISPR/Cas9 editing to simultaneously disrupt key susceptibility genes involved in distinct defense pathways: ACS2 (for brown planthopper), Bsr-D1, ERF922 or Pi21 (for fungal blast), and Xa5 (for bacterial blight). Three triple-mutant lines (abx, aex, and apx) were successfully generated, and all exhibited significantly enhanced resistance to brown planthopper, blast, and bacterial blight without compromising major agronomic traits compared to the wild type. Our work demonstrates the feasibility of multiplex susceptibility gene editing as a precise and efficient strategy for breeding rice varieties with synchronized, broad-spectrum resistance to both insect pests and pathogenic diseases. Full article

Pseudomonas syringae pv. syringae and Xanthomonas arboricola pv. juglandis are the causal agents of bacterial canker in cherry and walnut blight, respectively, which cause significant production losses worldwide. These diseases have traditionally been controlled by copper-based agrochemicals and, more recently, antibiotics. However, the prolonged use of these compounds has led to the emergence of resistant bacterial strains. The search for new, efficient, and environmentally friendly biocontrol alternatives has intensified. Phages are promising candidates due to their ability to specifically infect and lyse bacterial pathogens. Endolysin enzymes are responsible for bacterial cell wall degradation, and although they have been extensively studied in medical and veterinary contexts, their application in agriculture remains limited. In this study, 17 putative endolysins were identified from bacteriophages infecting X. arboricola pv. juglandis and P. syringae pv. syringae. Based on conserved domain analyses, 12 were classified as glycosidases, four as amidases, and one as an endopeptidase. From these, a recombinant amidase (LysP) and a recombinant glycosidase (LysX) were expressed in E. coli, purified, and evaluated as pure enzymes. Both endolysins exhibited significant antimicrobial activity, reducing P. syringae pv. syringae viability by 62–78.3% and X. arboricola pv. juglandis viability by 51.5–53.1%, respectively. These findings highlight these recombinant endolysins as promising candidates for the development of biocontrol strategies against bacterial plant pathogens. Full article

Rice blast and bacterial blight are two major diseases that seriously threaten rice production. Developing rice germplasm with enhanced resistance to multiple diseases while maintaining favorable agronomic traits is essential for sustainable breeding. In this study, two rice landraces from Motuo County, Xizang Autonomous Region, China, Benglinba and Gare, were used to simultaneously edit OsERF922 and Xa41 using a structurally optimized dual-target CRISPR/Cas9 vector, pRGEB32-2T. A total of 32 and 28 T₀ transgenic plants were generated in the Benglinba and Gare backgrounds, respectively. Targeted mutagenesis generated eight homozygous oserf922 mutants and three homozygous xa41 mutants in Benglinba, and four and five homozygous mutants in Gare. Twelve double homozygous mutant lines (nine Benglinba and three Gare) were selected for further analysis. Disease resistance assays showed that these double mutants exhibited significantly enhanced resistance to the rice blast fungus strain GDYJ7 and the bacterial blight pathogen strain GDXO-1, with markedly reduced lesion size or lesion length compared with wild-type plants (p < 0.001, Student’s t-test). Importantly, three independent T-DNA-free double mutant lines from each genetic background displayed no significant differences from their corresponding wild types in major agronomic traits, including plant height, effective panicle number, panicle length, seed-setting rate, or thousand-grain weight (p > 0.05). Grain quality parameters, such as brown rice rate, milled rice rate, amylose content, and gel consistency, were also unaffected. Overall, this study generated rice materials with enhanced resistance to rice blast and bacterial blight while maintaining elite agronomic and quality traits, providing valuable germplasm resources and a feasible strategy for the precise improvement of disease resistance in rice landraces from Xizang Autonomous Region. Full article

This study examines the socio-demographic characteristics, rice production practices, and breeding preferences of farmers across three major rice-growing regions of Vietnam: the Mekong Delta, Central Vietnam, and North Vietnam. A survey of 109 rice farmers captured information on cultivation status, livelihood activities, and preferred breeding traits for rice improvement. The results reveal clear regional differentiation in farm structure, production objectives, and varietal preferences. Rice farming in the Mekong Delta is predominantly commercially oriented, characterized by larger landholdings and greater male participation, whereas rice production in Central and Northern Vietnam is more subsistence-oriented, with higher female involvement. Farmers across regions consistently valued locally adapted rice varieties, but articulated region-specific trait priorities shaped by agro-ecological conditions. In the Mekong Delta, preferences emphasized soft grain quality and salinity tolerance, reflecting coastal production constraints. In Central Vietnam, farmers prioritized heat tolerance and resistance to pests and diseases, while in Northern Vietnam, cold tolerance and grain quality attributes, including aroma and harder texture, were most important. Major biotic stresses, particularly blast and bacterial blight, also showed significant regional variation in reported incidence. By linking these region-specific preferences to clearly defined Target Populations of Environments (TPEs), this study provides a practical framework for aligning breeding targets with real-world production conditions. The findings offer actionable guidance for participatory breeding and decentralized varietal evaluation under the Biodiversity for Opportunities, Livelihoods, and Development (BOLD) initiative, as well as other rice improvement programs. To our knowledge, this represents the first multi-region evidence from Vietnam that systematically integrates agro-ecological variation with a TPE-based breeding approach, supporting the development of climate-resilient, farmer-preferred rice varieties and more sustainable rice production systems. Full article

Rice blast and bacterial blight cause severe harm to rice production, and the breeding of resistant varieties guarantees the safety of rice production. Meanwhile, multigene pyramiding breeding based on molecular marker-assisted selection is a crucial approach for rice breeding to combat multiple diseases. This study aimed to develop accurate and efficient PARMS markers for rice blast resistance genes Pita, Pigm, and Pi2, and bacterial blight resistance gene Xa23. A systematic genotyping analysis of the resistant alleles of these 4 genes was performed on 384 major cultivated varieties in production. The results showed that only 5.21% of the varieties harbored more than two resistant alleles simultaneously. Using traditional breeding strategies in combination with the developed PARMS markers, the high-quality three-line male sterile line Ruanfeng A (pyramiding Pita and Pigm) and the strong restorer line Gui 610 (pyramiding Pi2 and Xa23) were bred. Crossing these lines produced a new hybrid rice variety, Ruanfengyou 610. Ruanfengyou 610 pyramids 4 resistance genes (Pita/Pigm/Pi2/Xa23), exhibits resistance to both rice blast and bacterial blight, has prominent heterosis and excellent grain quality, and has strong application potential, which is of great significance for ensuring the safety of rice production. Full article

Rice (Oryza sativa) is one of the world’s major staple foods. However, stable rice production is constrained by various biotic and abiotic and stresses. Breeding and cultivation of rice varieties with resistance to multiple pathogens and environmental stresses is the most effective strategy to mitigate the adverse effect of pathogen attacks and abiotic stresses. Recently, researchers have focused on the exploitation of CRISPR/Cas9 technology to manipulate some negative defense-regulator genes to generate rice varieties with broad-spectrum resistance against rice pathogens. In this study, four negative regulator genes of rice blast, OsMads26, OsBsr-1, OsELF3-2 and OsERF922, were selected as CRISPR/Cas9 targets. By simultaneously knocking out all four genes via CRISPR/Cas9 technology, we created three mads26/bsr-1/elf3-2/erf922 quadruple knockout mutants. Our results demonstrated that all quadruple mutants exhibited much higher resistance not only to rice blast and bacterial blight but also to drought and salt stresses than the wildtype. Interestingly, grain yield of all three quadruple mutants was also drastically increased by 17.35% to 21.95%. Therefore, this study provides a novel strategy to rapidly improve rice varieties with broad-spectrum resistance to pathogens, elevated tolerance to abiotic stresses and enhanced yield potential. Full article

The bacterium Xanthomonas oryzae pv. oryzae is an important pathogen that causes wilt leaf blight disease in rice (Oryza sativa L.), leading to a reduction in rice yield. Therefore, this study aimed to investigate the potential of a surfactant complex composed of CO₂ nanobubbles (CO₂-NBs) coated with sorbitan monostearate (Sp60) and a crude extract of Trichoderma polyalthiae as active ingredient delivery agents for controlling leaf blight under both laboratory and greenhouse conditions. The addition of Sp60 and crude extract as surfactants significantly influenced the size uniformity and stability of CO₂-NBs at the nano level, with the nanobubbles remaining intact in water for up to 14 days. In addition, CO₂-NBs with crude extract and Sp60 reduced the severity of wilt, with an minimum inhibitory concentration (MIC) value of 64 µg/mL and an minimum bactericidal concentration (MBC) value of 128 µg/mL, and inhibited the disease by more than 50% in greenhouse conditions. Therefore, this study presents a creative and eco-friendly approach to managing bacterial leaf blight in rice that is innovative and relevant to sustainable plant protection. Full article

Coffea, a plant species of significant agricultural value used in coffee production, is a key commodity that supports the livelihoods of millions of people worldwide. However, coffee cultivation faces substantial threats from various pathogens, including Pseudomonas coronafaciens pv. garcae (Pcg), the causative agent of bacterial blight. This pathogen compromises coffee plant health, leading to reduced yields and plant death and impacting farmers and large-scale producers. Understanding the mechanisms underlying resistance to Pcg in the leaves of the resistant IAC 2211-6 Coffea arabica accession is crucial for developing effective control strategies. This study aimed to identify candidate biomarkers of resistance by comparing the leaf metabolome of (i) the resistant IAC 2211-6 and the susceptible IAC 125 RN Coffea arabica accessions and (ii) Pcg-infected and uninfected leaves. Untargeted metabolomics revealed distinct metabolic profiles between accessions. Flavonoids were more abundant in susceptible leaves. In contrast, resistant leaves showed increased levels of pipecolic acid ethyl ester, a structural derivative of a key systemic acquired resistance signal, and spiropreussione B, a compound associated with fungal endophytes. These findings highlight candidates potentially linked to resistance and suggest that systemic signaling and beneficial microbial interactions may contribute to resilience. Full article

Bacterial blight in rice, caused by Xanthomonas oryzae pv. oryzae (Xoo), poses a serious threat to global rice production. The ability of Xoo to form biofilms is a key factor for its virulence. The OryR protein is a LuxR-type quorum-sensing regulator essential for biofilm formation and Xoo pathogenicity. However, the three-dimensional structure of OryR remains poorly understood. This study integrates homology modeling, molecular dynamics (MD) simulations, and virtual screening to elucidate the structure of OryR and identify potential inhibitors that target its ligand-binding domain. MD simulations confirmed the structural stability of OryR, and comparative analysis with experimentally determined structures of ligand- or inhibitor-bound homologs revealed a binding site in OryR with a distinct hourglass-like shape for long-range contacts. Virtual screening of over 200,000 compounds from four chemical libraries identified several promising inhibitor candidates, with the top compounds showing strong binding energies in both molecular mechanics-generalized Born surface area (−68.3 kcal/mol) and molecular mechanics Poisson–Boltzmann surface area (−19.3 kcal/mol) calculations. Overall, this study provides insights into the OryR structure and highlights potential inhibitors that can be developed as novel agents to control bacterial blight. However, additional experimental validations are required to refine and optimize these leads for drug development. Full article

Fire blight, caused by Erwinia amylovora, is one of the most damaging bacterial diseases affecting apple production and the safety of wild Malus sieversii populations in Central Asia. Effective monitoring relies on accurate molecular diagnostics; however, comparative data on commonly used detection methods remain limited for the region. In this study, we evaluated the performance of three molecular assays—LAMP, real-time PCR, and targeted nanopore sequencing of a 16S rRNA gene fragment—using 124 plant samples exhibiting fire blight symptoms collected from 30 sites across Southern Kazakhstan and Kyrgyzstan. The results of LAMP, real-time PCR, and the amplification of 16S sequences were highly consistent with each other. Targeted 16S nanopore sequencing reliably identified E. amylovora in all PCR-positive samples, yielding high read counts and consistent species-level classification, although the analyzed 16S region provided limited resolution for intraspecies variation. Across sampling locations, abandoned orchards represented major reservoirs of infection compared to maintained orchards and wild populations. Our results confirm that all three approaches are robust tools for detecting E. amylovora. These findings support the importance of different molecular diagnostic methods to assist fire blight surveillance in the region. Full article

In order to clarify the changes and correlations among microbial community structure and soil environmental factors in the rhizosphere soil of peppers under healthy and diseased conditions, Illumina MiSeq technology was used to perform high-throughput sequencing of the V3-V4 region of the bacterial 16S rRNA gene and the ITS hypervariable region of fungi in the rhizosphere soil of peppers. The dominant species and key environmental factors affecting the occurrence of pepper Phytophthora blight were analyzed and screened, and the functions of bacteria and fungi in the samples were predicted by PICRUSt2 and FUNGuild. The results showed that except for soil pH, the contents of microbial biomass carbon, magnesium, zinc, and iron in the rhizosphere soil of healthy peppers were significantly higher than those in the diseased soil. Alpha diversity analysis showed that the diversity index of the bacterial community in healthy soil was higher than that in diseased soil, while the diversity index of the fungal community was significantly lower than that in diseased soil. The relative abundance of beneficial bacteria such as Proteobacteria, Actinobacteriota, Burkholderiales, and Rhodanobacteraceae in the rhizosphere soil of healthy peppers was higher. Pathogens such as Penicillium and Fusarium were significantly enriched in the rhizosphere soil of diseased pepper plants. The functional prediction results showed that soil bacteria were mainly metabolized, including the biosynthesis of ansamycin, the biosynthesis of vancomycin antibiotics, the biosynthesis of valine, leucine, and isoleucine, the metabolism of C5-branched dicarboxylic acid, and the biosynthesis of fatty acids. The main nutritional strategies of the fungal community are disease prototype and saprophytic. Combined with the key environmental factors, microbial composition, and correlation analysis of pepper rhizosphere soil, it is speculated that the occurrence of pepper Phytophthora blight may be related to the synergistic effect of soil nutrients and microbial flora, which provides a theoretical basis for the biological control of pepper Phytophthora blight in the future. Full article

Reverse transcription quantitative PCR (RT-qPCR) is a powerful and widely used technique for quantifying alterations in gene expression. Cassava bacterial blight caused by Xanthomonas phaseoli pv. manihotis severely constraints cassava growth and yield. Accurate evaluation of the expression levels of genes following infection by X. phaseoli pv. manihotis is crucial for the identification of potential cassava resistance genes. In this study, thirty-two novel potential reference genes were screened from the cassava–X. phaseoli pv. manihotis transcriptome. Their expression, along with that of seven literature-reported cassava reference genes, was evaluated in two susceptible and two resistant cassava varieties at six time points post-inoculation by X. phaseoli pv. manihotis through RT-qPCR analysis. The stability of thirty-nine candidate reference genes was assessed by four algorithms: geNorm, NormFinder, Delta Ct, and RefFinder. The results demonstrated that serving as new reference genes, MehnRNPR and MePRPF38B consistently exhibited superior expression stability over seven established reference genes under X. phaseoli pv. manihotis infection, regardless of the susceptible or resistant cassava varieties. The reliability of the reference genes was validated by assessing the expression pattern of MeNAC35 and MeSWEET10a under X. phaseoli pv. manihotis infection. The findings of this study provide valuable insights for advancing the precision of the quantification of cassava candidate genes associated with disease resistance. Full article

The aim of this study was to identify the causative agent of bacterial blight and basal glume rot of winter wheat that appeared in Serbia in 2023. To characterize the isolated bacteria (eight isolates in total), their cultural, biochemical, pathogenic, and genetic characteristics were examined. Based on the results of the LOPAT test, the isolates were classified into Pseudomonas Group Ia. The syrB and syrD genes were simultaneously detected in six wheat isolates—P0123, P0223, P0323, P0423, P0523, and P0823—while two isolates, P1123 and P1323, lacked both genes. Multilocus sequence typing (MLST) of the gapA, gltA, gyrB, and rpoD genes identified six isolates (P0123, P0223, P0323, P0423, P0523, and P0823) as Pseudomonas syringae pv. atrofaciens, whereas the remaining two isolates (P1123 and P1323) were most closely related to P. poae. Phylogenetic analysis revealed three genetically heterogeneous subgroups of P. syringae pv. atrofaciens among the wheat isolates from Serbia. Pathogenicity tests demonstrated that wheat isolates are able cause disease on wheat seedlings using three different inoculation methods: spraying the entire seedling, trimming the leaves before spraying, and wounding the leaves with multiple needles followed by spraying. Overall, isolates P0123 and P0423 were identified as the most virulent, inducing pronounced blight symptoms on wheat seedlings. In contrast, isolates P1123 and P1323 were weakly virulent and are therefore considered to be secondary or accompanying factors in plants already infected with more aggressive isolates, rather than primary pathogens responsible for disease development. This study contributes to a deeper understanding of the ecology, distribution, and pathogenic potential of bacterial communities associated with wheat blight disease in Serbia. Full article