Huanglongbing Pandemic: Current Challenges and Emerging Management Strategies

Technological advances and the use of IoT in monitoring Diaphorina citri in citrus cultivation

The Asian citrus psyllid, Diaphorina citri, is a pest of great relevance to the citrus industry, acting as a vector for the bacterium Candidatus Liberibacter asiaticus (CLas), responsible for the disease known as Huanglongbing (HLB) or citrus greening. The distribution of D. citri covers tropical and subtropical regions, representing a significant threat to global citrus production and causing economic losses. Transmission of CLas occurs when the psyllid feeds on the phloem of citrus plants, spreading the disease severely. Therefore, the management of D. citri is essential for the health of citrus groves, and understanding its habitat and dispersal patterns is crucial for adequate control. Internet of Things (IoT) technology is a promising tool in agriculture, enabling real-time monitoring and control systems that increase the efficiency and sustainability of agricultural practices. The integration of IoT facilitates the early detection of D. citri and the continuous monitoring of their populations, improving the response to pest outbreaks and optimizing the use of insecticides. Systems based on AIoT (Artificial Intelligence of Things) and computer vision have demonstrated high accuracy in identifying and occurring pests, allowing for fast and efficient management. These technological advances, combined with biological strategies and traditional methods such as insecticides and physical traps, create a multifaceted approach to D. citri management. Integrating data from satellite images, field sensors, and machine learning algorithms makes developing more comprehensive and predictive monitoring of agricultural conditions possible. This helps mitigate the impacts of HLB and promotes more innovative, resilient farming practices. Smart agriculture, supported by IoT and technologies, offers a promising path to meet the challenges of modern agricultural production, combining real-time monitoring, innovative biological strategies, and predictive analytics to create a more sustainable and efficient agricultural system, essential to meet future challenges.

Citrus phloem specific transcriptional profiling through the development of a citrus tristeza virus expressed translating ribosome affinity purification system

BACKGROUND

The analysis of translationally active mRNAs, or translatome, is a useful approach for monitoring cellular and plant physiological responses. One such method is the translating ribosome affinity purification (TRAP) system, which utilizes tagged ribosomal proteins to isolate ribosome-associated transcripts. This approach enables spatial and temporal gene expression analysis by driving the expression of tagged ribosomal proteins with tissue- or development-specific promoters. In plants, TRAP has enhanced our understanding of physiological responses to various biotic and abiotic factors. However, its utility is hampered by the necessity to generate transgenic plants expressing the tagged ribosomal protein, making this approach particularly challenging in perennial crops such as citrus.

RESULTS

This study involved the construction of a citrus tristeza virus (CTV) vector to express an immuno-tagged ribosome protein (CTV-hfRPL18). CTV, limited to the phloem, has been used for expressing marker and therapeutic sequences, making it suitable for analyzing citrus vascular tissue responses, including those related to huanglongbing disease. CTV-hfRPL18 successfully expressed a clementine-derived hfRPL18 peptide, and polysome purifications demonstrated enrichment for the hfRPL18 peptide. Subsequent translatome isolations from infected Nicotiana benthamiana and Citrus macrophylla showed enrichment for phloem-associated genes.

CONCLUSION

The CTV-hfRPL18 vector offers a transgene-free and rapid system for TRAP expression and translatome analysis of phloem tissues within citrus.

Huanglongbing as a Persistent Threat to Citriculture in Latin America

Citrus commercial species are the most important fruit crops in the world; however, their cultivation is seriously threatened by the fast dispersion of emerging diseases, including Huanglongbing (HLB) citrus greening. HLB disease is vectored by psyllid vectors and associated with phloem-limited α-proteobacteria belonging to the Candidatus Liberibacter genus. Climatic change and trade globalization have led to the rapid spread of HLB from its origin center in Southeast Asia, causing a great economic impact in the main production areas, including East Asia (China), the Mediterranean basin, North America (the United States), and Latin America (Brazil and Mexico). Despite important advances to understand the HLB epidemiology, Candidatus Liberibacter genetics, psyllid vector control, the molecular citrus-Candidatus Liberibacter interaction, and the development of integral disease management strategies, the study areas have been mostly restricted to high-tech-producing countries. Thus, in this review, we provide an overview of the epidemiology, distribution, genetic diversity, management aspects, and omics analysis of HLB in Latin America, where this information to date is limited.

Three-dimensional interaction between Cinnamomum camphora and a sap-sucking psyllid insect (Trioza camphorae) revealed by nano-resolution volume electron microscopy

Phloem-feeding insects present significant economic threats worldwide and remain challenging to understand due to their specialized feeding strategies. Significant advances in genetics, genomics, and biochemistry have greatly enriched our comprehension of phloem-insect interactions. However, existing studies relying on two-dimensional discrete images have limited our understanding of visible morphological details. In this study, we leverage volume electron microscopy (vEM) technology to unveil a nanometer-resolution interaction mode between plant and the phloem-feeding insect, Camphor psyllid (Trioza camphorae, Hemiptera: Psyllidae). The stylets penetrate each cell on the way to the feeding site (sieve tube), and new cell walls will form around the salivary sheath, ultimately fusing with the original cell walls to form remarkably thickening cell walls. Our reconstruction findings on pit gall tissues suggest that a significant decrease in cell volume and a drastic increase in cell layers are the primary processes during pit gall formation. These unique findings will set the stage for a robust discussion on the plant cellular response induced by phloem-feeding insects.

Nanotechnology for controlling mango malformation: a promising approach

Mango (Mangifera indica L.) is one of the most important fruit crops in the world with yields of approximately 40 million tons annually and its production continues to decrease every year as a result of the attack of certain pathogens i.e. Colletotrichum gloeosporioides, Erythricium salmonicolor, Amritodus atkinsoni, Idioscopus clypealis, Idioscopus nitidulus, Bactrocera obliqua, Bactrocera frauenfeldi, Xanthomonas campestris, and Fusarium mangiferae. So F. mangiferae is the most harmful pathogen that causes mango malformation disease in mango which decreases its 90% yield. Nanotechnology is an eco-friendly and has a promising effect over traditional methods to cure fungal diseases. Different nanoparticles possess antifungal potential in terms of controlling the fungal diseases in plants but applications of nanotechnology in plant disease managements is minimal. The main focus of this review is to highlight the previous and current strategies to control mango malformation and highlights the promising applications of nanomaterials in combating mango malformation. Hence, the present review aims to provide brief information on the disease and effective management strategies.

Multiplex Quantitative PCR for the Detection of Bacteria Associated with Huanglongbing 'Candidatus Liberibacter asiaticus,' 'Ca. L. americanus,' and 16Sr IX Group Phytoplasma

The occurrence of 'Candidatus Liberibacter' spp. and 'Ca. Phytoplasma' spp. associated with blotchy mottle symptoms poses challenges to huanglongbing (HLB) diagnosis using molecular techniques. The ability to detect multiple targets simultaneously and specifically is a key aspect met by quantitative PCR (qPCR). A set of primers and hydrolysis probes useful in either single or multiplex reactions for the detection and quantification of HLB-associated bacteria were developed. Sequences from conserved genes of the ribosomal proteins for Liberibacter and phytoplasma circumvent the lack of specificity and cross-reactivity problems related to 16Sr DNA gene amplification, allowing precise and specific detection of HLB-associated bacteria in citrus and in the Liberibacter vector, Diaphorina citri. The triplex reaction exhibited high quality and precision as a robust tool for quantifying 'Ca. L. asiaticus' (CLas), 'Ca. L. americanus' (CLam), and 16Sr IX phytoplasma. Triplex qPCR showed consistent results and comparable sensitivity to the ribonuclease reductase test, although quantification cycle (Cq) values were higher when compared with 16SrDNA qPCR. Detection tests using field samples indicate that the qPCR triplex can identify HLB-associated bacteria in samples with varying levels of symptoms, ranging from typical to asymptomatic. Assessment of field samples from growers indicated more than 78.6% had Cq lower than 35.0, below the cutoff established for qPCR reactions used in this work. qPCR triplex is a safe, specific, and sufficiently sensitive technique for detecting CLas, CLam, and 16Sr IX phytoplasma simultaneously, in both citrus and D. citri samples. Its application is of importance in assisting growers in making decisions for HLB management.

Genome-wide identification and expression analyses of ABSCISIC ACID-INSENSITIVE 5 (ABI5) genes in Citrus sinensis reveal CsABI5-5 confers dual resistance to Huanglongbing and citrus canker

Huanglongbing (HLB) and citrus canker are two major destructive bacterial diseases in the citrus industry caused by Candidatus Liberibacter asiaticus (CLas) and Xanthomonas citri subsp. Citri (Xcc), respectively. ABI5 transcription factors are crucial for plant growth and development as well as for responses to various abiotic and biotic stresses, including viruses and fungi. This study aimed to identify and characterize ABI5 genes in the Citrus sinensis genome and investigate their functions in response to CLas and Xcc infections. We identified five putative CsABI5 genes on three citrus chromosomes, named CsABI5-1 to CsABI5-5, which share high identity with Arabidopsis ABI5 subfamily proteins and function in the nucleus. The expression of CsABI5s was differentially altered in citrus leaves under HLB and citrus canker stress, as well as in response to exogenous phytohormones. Notably, CsABI5-5 was upregulated by abscisic acid (ABA), salicylic acid (SA), and ethylene, whereas it was downregulated by methyl jasmonate, CLas, and Xcc. Overexpression of CsABI5-5 inhibited the propagation of CLas in citrus hairy roots and reduced leaf susceptibility to Xcc. This resistance was associated with increased levels of SA, jasmonaic acid, callose, and reactive oxygen species, along with decreased ABA, compared to non-transgenic samples. This study highlights the critical role of CsABI5-5 in regulating plant resistance to biotic stresses and demonstrates its potential utility as a powerful gene for biotechnology-assisted plant breeding aimed at improving citrus resistance to bacterial diseases.

Rapid and accurate detection of huanglongbing in citrus by elasticity testing using a piezoelectric finger

Rapid and sensitive detection of citrus huanglongbing (HLB) is critical for the control of this devastating disease. In this study, we have evaluated using a piezoelectric finger (PEF) with a 0.4 mm probe to measure the elastic modulus of a leaf to detect HLB in four different species of citrus including grapefruit (GFT), pumelo (PUM), lemon (LEM), and Valencia orange (VAL). Diseased citrus leaves were harvested from trees testing positive for the presence of Candidatus Liberibacter asiaticus (Las), the causal agent of HLB, and included both symptomatic leaves, which were blotchy mottle or yellowing and asymptomatic leaves, which did not display outward symptoms. Healthy leaves were harvested from trees testing negative for Las. The results indicated that the PEF elastic modulus test exhibited an overall 94% sensitivity and 90% specificity against the Las status of the trees for all four citrus types combined. Comparative quantitative real-time polymerase chain reaction (qPCR) tests on the same leaves showed an overall 89% sensitivity and 100% specificity against the Las status of the trees. While a Cohen-Kappa coefficient of 0.81 was obtained between the PEF and qPCR predictions, suggesting a "strong" agreement between the PEF and qPCR tests, a more detailed examination indicated that PEF was more sensitive overall in detecting the Las positive trees than qPCR, particularly from asymptomatic leaves for which PEF was 96% sensitive versus 78% sensitive by qPCR, indicating the potential of using PEF for early detection of HLB.

The identification of insect specific iAANAT inhibitors

An important aspect of food security is the development of innovative insecticides, particularly ones that specifically target insect pests and exhibit minimal toxicity to mammals. The insect arylalkylamine N-acyltransferases (iAANATs) could serve as targets for novel insecticides that satisfy these criteria. There exists a wealth of structural and biochemical information for the iAANATs and iAANAT knockdown experiments show that these enzymes are critical to insect health. Herein, we have expressed, purified, and characterized two new iAANATs, one from Apis mellifera (honey bee, AmNAT1) and another from Diaphorina citri (Asian citrus psyllid, DcNAT). We discovered that diminazene, a compound used to treat livestock for trypanosomiasis and babesiosis, inhibits AmNAT1, DcNAT, and D. melanogaster DmAgmNAT with modest affinity, Ki values ranging from 0.8 μM to 200 μM. We found a series of guanidines, amidines, and a hydroxamate, structurally related to diminazene, also inhibit the iAANATs, including camostat, gabexate, nafamostate, and panobinostat. Significantly, we found DmAgmNAT is far more susceptible to inhibition by four of these five of these compounds. In particular, camostat, nafamostat, and gabexate inhibit DmAgmNAT with Ki values of 0.2-30 μM, but no inhibition of AmNAT1 and DcNAT was observed at 500 μM for any of the three. These results show that a species-specific inhibitor targeted against an iAANAT is a real possibility. Also, we report that adipoyl-CoA is a substrate for AmNAT1 and DcNAT and that succinoyl-CoA is a substrate for DcNAT. These results contribute to a growing body of data suggesting that N-dicarboxyacyl-amines are metabolites in insects and other organisms.

Integrated Transcriptome and Metabolome Analysis Reveals Insights into Flavone and Flavonol Biosynthesis in Salicylic Acid-Induced Citrus Huanglongbing Tolerance

Salicylic acid (SA) exhibits positive effects against Citrus Huanglongbing (HLB), but how SA affects citrus resistance to HLB is currently unknown. This study conducted integrated transcriptome and metabolome analyses on SA-treated Citrus sinensis (HLB-sensitive) and Poncirus trifoliata (HLB-tolerant). The results indicated that the syntheses of flavones and flavonols were induced by SA, while the expression levels of associated genes and the contents of corresponding metabolites varied significantly between the two species after SA treatment or HLB infection. These differences may underpin the enhanced HLB management through SA treatment and the inherent HLB tolerance of P. trifoliata. Furthermore, two insertions of miniature inverted-repeat transposable element (MITE) were identified within the promoter of PtrF3'H in P. trifoliata, whereas none were found in the promoter of CsF3'H in C. sinensis. These MITE insertions notably enhanced the promoter activity of PtrF3'H in an SA-dependent manner. Our findings deepen the understanding of the correlation between SA response and HLB tolerance in Citrus.

Continuous cell lines derived from the Asian citrus psyllid, Diaphorina citri, harbor viruses and Wolbachia

The Asian citrus psyllid, Diaphorina citri Kuwayama (Hemiptera: Liviidae), is a major pest of global citriculture. In the Americas and in Asia, D. citri vectors the phloem-limited bacterium, Candidatus Liberibacter asiaticus (CLas), which causes the fatal citrus disease huanglongbing, or citrus greening. Cell lines derived from D. citri can provide insight into both the basic biology of this pest and D. citri-associated pathogens including CLas. We previously identified CLG#2 as the optimal medium for long-term growth of D. citri primary cell cultures. Here we report on the establishment and characterization of three continuous D. citri cell lines, Dici1, Dici3, and Dici5, that have been passaged for > 40 times. Based on morphological and transcriptomic data, the Dici1 and Dici3 cell lines include undifferentiated and neurogenic progenitor cells. Dici1 and Dici5 are infected with Wolbachia. Both Dici1 and Dici5 are infected with D. citri reovirus, and Dici5 is also infected with D. citri-associated C virus. Dici3 is free of both Wolbachia and virus infection. These cell lines provide an ideal platform for the study of inter-microbial relationships as well as microbe interaction with host insect cells.

Potential habitat suitability of Candidatus Liberibacter asiaticus and genetic diversity of its prophages across China

Huanglongbing (HLB) is a severe citrus disease in China caused by Candidatus Liberibacter asiaticus (CLas). Since its initial identification, the pathogen has spread to 10 mainland provinces in China and caused devastating loss. Three distinct prophage types have been identified in CLas; however, their distribution and diversity in China remain inadequately understood. In this study, we collected 500 CLas samples from 10 provinces in China, employing three specific genomic loci to identify prophage types. Subsequently, Sanger sequencing was employed to analyze the genetic diversity of prophage within populations of CLas in China. In addition, the MaxEnt model optimized by the ENMeval software package, was used to predict the habitat suitability of populations of CLas and assess the potential impact of future climate change on its distribution in China. Our analysis revealed that type 2 prophage is the most prevalent, accounting for 55% in China. Among the 10 provinces tested, CLas populations in Yunnan and Sichuan demonstrated higher genetic diversity. Further analysis reveals that CLas populations harboring type 1 prophage remain relatively stable, whereas those carrying type 2 and type 3 prophages undergo population expansion. Furthermore, our predictive models indicate that the presently suitable habitat for CLas populations is concentrated in the southern and certain central regions of China, with an anticipated expansion under future climate change conditions. Presently, the center of populations of CLas characterized by favorable living conditions is situated in Zunyi City, Guizhou Province. Nevertheless, a projected trend indicates a shift toward the northeast, particularly targeting Tongren City in the foreseeable future.

IMPORTANCE

This study offers significant insights into the distribution and genetic diversity of three types of prophages associated with Candidatus Liberibacter asiaticus (CLas) in China. Our predictions underscore the implications of climate change on the future distribution of CLas. These findings contribute to a better understanding of Huanglongbing management strategies and can facilitate the development of effective measures to control the spread of this devastating disease within the citrus industry.

Innovative strategies for characterizing and managing huanglongbing in citrus

Huanglongbing is a severe citrus disease that causes significant tree and crop losses worldwide. It is caused by three Candidatus liberibacter species and spread by psyllids and infected budwood. Various methods have been used to diagnose and understand HLB, including recent advances in molecular and biochemical assays that explore the pathogen's mode of action and its impact on the host plant. Characterization is essential for developing sustainable HLB management strategies. Nanotechnology, particularly nano sensors and metal nanoparticles, shows potential for precise disease diagnosis and control. Additionally, antibiotics, nanomaterials, and genetic engineering techniques like transgenesis offer promising avenues for mitigating HLB. These diverse approaches, from conventional to cutting-edge, contribute to developing integrated HLB management strategies for sustainable citrus cultivation. The review highlights the significant advancements in conventional and advanced molecular and biochemical characterization of HLB, aiding in early detection and understanding of the infection mechanism. It emphasizes the multidimensional efforts required to characterize disease and devise innovative management strategies. As the citrus industry faces unprecedented challenges, exploring new frontiers in HLB research provides hope for sustainable solutions and a resilient future for global citrus cultivation.

Contemporary applications of vibrational spectroscopy in plant stresses and phenotyping

Plant pathogens, including viruses, bacteria, and fungi, cause massive crop losses around the world. Abiotic stresses, such as drought, salinity and nutritional deficiencies are even more detrimental. Timely diagnostics of plant diseases and abiotic stresses can be used to provide site- and doze-specific treatment of plants. In addition to the direct economic impact, this "smart agriculture" can help minimizing the effect of farming on the environment. Mounting evidence demonstrates that vibrational spectroscopy, which includes Raman (RS) and infrared spectroscopies (IR), can be used to detect and identify biotic and abiotic stresses in plants. These findings indicate that RS and IR can be used for in-field surveillance of the plant health. Surface-enhanced RS (SERS) has also been used for direct detection of plant stressors, offering advantages over traditional spectroscopies. Finally, all three of these technologies have applications in phenotyping and studying composition of crops. Such non-invasive, non-destructive, and chemical-free diagnostics is set to revolutionize crop agriculture globally. This review critically discusses the most recent findings of RS-based sensing of biotic and abiotic stresses, as well as the use of RS for nutritional analysis of foods.

Spatial chemistry of citrus reveals molecules bactericidal to Candidatus Liberibacter asiaticus

Huanglongbing (HLB), associated with the psyllid-vectored phloem-limited bacterium, Candidatus Liberibacter asiaticus (CLas), is a disease threat to all citrus production worldwide. Currently, there are no sustainable curative or prophylactic treatments available. In this study, we utilized mass spectrometry (MS)-based metabolomics in combination with 3D molecular mapping to visualize complex chemistries within plant tissues to explore how these chemistries change in vivo in HLB-infected trees. We demonstrate how spatial information from molecular maps of branches and single leaves yields insight into the biology not accessible otherwise. In particular, we found evidence that flavonoid biosynthesis is disrupted in HLB-infected trees, and an increase in the polyamine, feruloylputrescine, is highly correlated with an increase in disease severity. Based on mechanistic details revealed by these molecular maps, followed by metabolic modeling, we formulated and tested the hypothesis that CLas infection either directly or indirectly converts the precursor compound, ferulic acid, to feruloylputrescine to suppress the antimicrobial effects of ferulic acid and biosynthetically downstream flavonoids. Using in vitro bioassays, we demonstrated that ferulic acid and bioflavonoids are indeed highly bactericidal to CLas, with the activity on par with a reference antibiotic, oxytetracycline, recently approved for HLB management. We propose these compounds should be evaluated as therapeutics alternatives to the antibiotics for HLB treatment. Overall, the utilized 3D metabolic mapping approach provides a promising methodological framework to identify pathogen-specific inhibitory compounds in planta for potential prophylactic or therapeutic applications.

Metagenomic Analysis of Rhizospheric Bacterial Community of Citrus Trees Expressing Phloem-Directed Antimicrobials

Huanglongbing, also known as citrus greening, is currently the most devastating citrus disease with limited success in prevention and mitigation. A promising strategy for Huanglongbing control is the use of antimicrobials fused to a carrier protein (phloem protein of 16 kDa or PP16) that targets vascular tissues. This study investigated the effects of genetically modified citrus trees expressing Citrus sinensis PP16 (CsPP16) fused to human lysozyme and β-defensin-2 on the soil microbiome diversity using 16S amplicon analysis. The results indicated that there were no significant alterations in alpha diversity, beta diversity, phylogenetic diversity, differential abundance, or functional prediction between the antimicrobial phloem-overexpressing plants and the control group, suggesting minimal impact on microbial community structure. However, microbiota diversity analysis revealed distinct bacterial assemblages between the rhizosphere soil and root environments. This study helps to understand the ecological implications of crops expressing phloem-targeted antimicrobials for vascular disease management, with minimal impact on soil microbiota.

Determination and Identification of Antibiotic Residues in Fruits Using Liquid Chromatography-High-Resolution Mass Spectrometry (LC-HRMS)

Antibiotic residues may be present in fruit products from trees that were treated to combat bacterial diseases such as citrus greening or blight. A liquid chromatography-high-resolution mass spectrometry (LC-HRMS) method was developed for the simultaneous determination and identification of streptomycin, kasugamycin, penicillin, and oxytetracycline residues in fruit. Samples were extracted with acidic methanol and separation was optimized for a hydrophilic interaction LC column. A Q-Exactive HRMS instrument was used to obtain product ion spectra for analyte identification. Quantitation was performed with matrix-extracted calibration curves and internal standard correction. The method was tested on many different types of fruit. In general, fortified samples demonstrated acceptable recoveries (82-116%) and reproducibility (<15% RSD). Method detection limits for these analytes were well below the established US EPA tolerance levels. It was also possible to analyze the fruit extracts prepared using this method for additional chemical contaminants using LC-HRMS.

Characterization of AICAR transformylase/IMP cyclohydrolase (ATIC) bifunctional enzyme from Candidatus Liberibacer asiaticus

The bifunctional enzyme, 5-aminoimidazole-4-carboxamide ribonucleotide (AICAR) transformylase/inosine monophosphate (IMP) cyclohydrolase (ATIC) is involved in catalyzing penultimate and final steps of purine de novo biosynthetic pathway crucial for the survival of organisms. The present study reports the characterization of ATIC from Candidatus Liberibacer asiaticus (CLasATIC) along with the identification of potential inhibitor molecules and evaluation of cell proliferative activity. CLasATIC showed both the AICAR Transformylase (AICAR TFase) activity for substrates, 10-f-THF (Km, 146.6 μM and Vmax, 0.95 μmol/min/mg) and AICAR (Km, 34.81 μM and Vmax, 0.56 μmol/min/mg) and IMP cyclohydrolase (IMPCHase) activitiy (Km, 1.81 μM and Vmax, 2.87 μmol/min/mg). The optimum pH and temperature were also identified for the enzyme activity. In-silico study has been conducted to identify potential inhibitor molecules through virtual screening and MD simulations. Out of many compounds, HNBSA, diosbulbin A and lepidine D emerged as lead compounds, exhibiting higher binding energy and stability for CLasATIC than AICAR. ITC study reports higher binding affinities for HNBSA and diosbulbin A (Kd, 12.3 μM and 34.2 μM, respectively) compared to AICAR (Kd, 83.4 μM). Likewise, DSC studies showed enhanced thermal stability for CLasATIC in the presence of inhibitors. CD and Fluorescence studies revealed significant conformational changes in CLasATIC upon binding of the inhibitors. CLasATIC demonstrated potent cell proliferative, wound healing and ROS scavenging properties evaluated by cell-based bioassays using CHO cells. This study highlights CLasATIC as a promising drug target with potential inhibitors for managing CLas and its unique cell protective, wound-healing properties for future biotechnological applications.

Diagnosis of Citrus Greening Using Artificial Intelligence: A Faster Region-Based Convolutional Neural Network Approach with Convolution Block Attention Module-Integrated VGGNet and ResNet Models

The vector-transmitted Citrus Greening (CG) disease, also called Huanglongbing, is one of the most destructive diseases of citrus. Since no measures for directly controlling this disease are available at present, current disease management integrates several measures, such as vector control, the use of disease-free trees, the removal of diseased trees, etc. The most essential issue in integrated management is how CG-infected trees can be detected efficiently. For CG detection, digital image analyses using deep learning algorithms have attracted much interest from both researchers and growers. Models using transfer learning with the Faster R-CNN architecture were constructed and compared with two pre-trained Convolutional Neural Network (CNN) models, VGGNet and ResNet. Their efficiency was examined by integrating their feature extraction capabilities into the Convolution Block Attention Module (CBAM) to create VGGNet+CBAM and ResNet+CBAM variants. ResNet models performed best. Moreover, the integration of CBAM notably improved CG disease detection precision and the overall performance of the models. Efficient models with transfer learning using Faster R-CNN were loaded on web applications to facilitate access for real-time diagnosis by farmers via the deployment of in-field images. The practical ability of the applications to detect CG disease is discussed.

Endosymbionts of citrus leafminer Phyllocnistis citrella Stainton among different citrus orchards in China

Endosymbionts regulate the behavior of pest species, which could provide insights into their control. The citrus leafminer (Phyllocnistis citrella Stainton) is a widely distributed pest associated with diseases of citrus, especially of young trees. Here, we determined the endosymbiont composition of P. citrella in citrus orchards across China. The resulting dataset comprised average 50,430 high-quality reads for bacterial 16S rRNA V3-V4 regions of endosymbionts from 36 P. citrella larvae sampled from 12 citrus orchards across China. The sequencing depth and sampling size of this dataset were sufficient to reveal most of the endosymbionts of P. citrella. In total, 2,875 bacterial amplicon sequence variants were obtained; taxonomic analysis revealed a total of 372 bacterial genera, most of which were Proteobacteria phylum with Undibacterium being the most abundant genus. This dataset provides the first evidence of P. citrella endosymbionts that could support the development of pest management approaches in citrus orchards.

Specifically targeting antimicrobial peptides for inhibition of Candidatus Liberibacter asiaticus

AIMS

Huanglongbing (citrus greening) is a plant disease putatively caused by the unculturable Gram-negative bacterium Candidatus Liberibacter asiaticus (CLas), and it has caused severe damage to citrus plantations worldwide. There are no definitive treatments for this disease, and conventional disease control techniques have shown limited efficacy. This work presents an in silico evaluation of using specifically targeting anti-microbial peptides (STAMPs) consisting of a targeting segment and an antimicrobial segment to inhibit citrus greening by inhibiting the BamA protein of CLas, which is an outer membrane protein crucial for bacterial viability.

METHODS AND RESULTS

Initially, a set of peptides with a high affinity toward BamA protein were screened and evaluated via molecular docking and molecular dynamics simulations and were verified in vitro via bio-layer interferometry (BLI). In silico studies and BLI experiments indicated that two peptides, HASP2 and HASP3, showed stable binding to BamA. Protein structures for STAMPs were created by fusing known anti-microbial peptides (AMPs) with the selected short peptides. The binding of STAMPs to BamA was assessed using molecular docking and binding energy calculations. The attachment of high-affinity short peptides significantly reduced the free energy of binding for AMPs, suggesting that it would make it easier for the STAMPs to bind to BamA. Efficacy testing in vitro using a closely related CLas surrogate bacterium showed that STAMPs had greater inhibitory activity than AMP alone.

CONCLUSIONS

In silico and in vitro results indicate that the STAMPs can inhibit CLas surrogate Rhizobium grahamii more effectively compared to AMPs, suggesting that STAMPs can achieve better inhibition of CLas, potentially via enhancing the site specificity of AMPs.

Detection of Candidatus Liberibacter asiaticus and five viruses in individual Asian citrus psyllid in China

Introduction

Asian citrus psyllid (ACP, Diaphorina citri) is an important transmission vector of "Candidatus Liberibacter asiaticus" (CLas), the causal agent of Huanglongbing (HLB), the most destructive citrus disease in the world. As there are currently no HLB-resistant rootstocks or varieties, the control of ACP is an important way to prevent HLB. Some viruses of insect vectors can be used as genetically engineered materials to control insect vectors.

Methods

To gain knowledge on viruses in ACP in China, the prevalence of five RNA and DNA viruses was successfully determined by optimizing reverse transcription polymerase chain reaction (RT-PCR) in individual adult ACPs. The five ACP-associated viruses were identified as follows: diaphorina citri bunyavirus 2, which was newly identified by high-throughput sequencing in our lab, diaphorina citri reovirus (DcRV), diaphorina citri picorna-like virus (DcPLV), diaphorina citri bunyavirus (DcBV), and diaphorina citri densovirus-like virus (DcDV).

Results

DcPLV was the most prevalent and widespread ACP-associated virus, followed by DcBV, and it was detected in more than 50% of all samples tested. DcPLV was also demonstrated to propagate vertically and found more in salivary glands among different tissues. Approximately 60% of all adult insect samples were co-infected with more than one insect pathogen, including the five ACP-associated viruses and CLas.

Discussion

This is the first time these viruses, including the newly identified ACP-associated virus, have been detected in individual adult ACPs from natural populations in China's five major citrus-producing provinces. These results provide valuable information about the prevalence of ACP-associated viruses in China, some of which have the potential to be used as biocontrol agents. In addition, analysis of the change in prevalence of pathogens in a single insect vector is the basis for understanding the interactions between CLas, ACP, and insect viruses.

Real-time on-site detection of the three 'Candidatus Liberibacter' species associated with HLB disease: a rapid and validated method

Huanglongbing (HLB) is a devastating disease that affects all commercial citrus species worldwide. The disease is associated with bacteria of three species of the genus 'Candidatus Liberibacter' transmitted by psyllid vectors. To date, HLB has no cure, so preventing its introduction into HLB-free areas is the best strategy to control its spread. For that, the use of accurate, sensitive, specific, and reliable detection methods is critical for good integrated management of this serious disease. This study presents a new real-time recombinase polymerase amplification (RPA) protocol able to detect the three 'Ca. Liberibacter' species associated with HLB in both plant and insect samples, validated according to European and Mediterranean Plant Protection Organization (EPPO) guidelines and tested on 365 samples from nine different geographic origins. This new protocol does not require nucleic acid purification or specialized equipment, making it ideal to be used under field conditions. It is based on specific primers and probe targeting a region of fusA gene, which shows a specificity of 94%-100%, both in silico and in vitro, for the 'Ca. Liberibacter' species associated with HLB. The analytical sensitivity of the new protocol is excellent, with a reliable detection limit in the order of 10¹ copies per microliter in HLB-infected plant and insect material. The repeatability and reproducibility of the new methods showed consistent results. Diagnostic parameters of the new RPA protocol were calculated and compared with the gold standard technique, a quantitative real-time PCR, in both crude extracts of citrus plants and insect vectors. The agreement between the two techniques was almost perfect according to the estimated Cohen's kappa index, with a diagnostic sensitivity and specificity of 83.89% and 100%, respectively, and a relative accuracy of 91.59%. Moreover, the results are obtained in less than 35 min. All these results indicate the potential of this new RPA protocol to be implemented as a reliable on-site detection kit for HLB due to its simplicity, speed, and portability.

Genetic transformation of 'Hamlin' and 'Valencia' sweet orange plants expressing the cry11A gene of Bacillus thuringiensis as another tool to the management of Diaphorina citri (Hemiptera: Liviidae)

The Asian citrus psyllid (ACP) Diaphorina citri Kuwayama (Hemiptera: Liviidae) is the vector of Candidatus Liberibacter spp., the bacteria associated with huanglongbing (HLB), the most devastating disease of citrus worldwide. HLB management has heavily counted on insecticide applications to control the ACP, although there are efforts towards more sustainable alternatives. In previous work, our group assessed the potential bioactivity of different strains of Bacillus thuringiensis (Eubacteriales: Bacillaceae) (Bt) containing cry/cyt genes as feasible tools to control ACP nymphs. Here, we report an attempt to use the cry11A gene from Bt to produce transgenic sweet orange plants using two promoters. For the genetic transformation, 'Hamlin' and 'Valencia' sweet orange seedlings were used as sources of explants. Transgenic plants were detected by polymerase chain reaction (PCR) with specific primers, and the transgene copy number was confirmed by Southern blot analyses. Transcript expression levels were determined by qPCR. Mortality assays of D. citri nymphs were carried out in a greenhouse, and the effect of the events tested ranged from 22 to 43% at the end of the five-day exposure period. To our knowledge, this is the first manuscript reporting the production of citrus plants expressing the Bt cry11A gene for the management of D. citri nymphs.