Plant Disease

Chokecherry (Prunus virginiana L.) is a native shrub that is widely found across North America and is a host of ‘Candidatus Phytoplasma pruni’ associated with X-disease of stone fruits. This pathogen is of major concern to U.S. cherry and peach growers, with the most recent and ongoing outbreak in the Pacific Northwest causing major economic harm. To investigate the role of chokecherry as a potential reservoir and source of orchard-associated strains, we surveyed wild chokecherry trees across 12 U.S. states, and compared the strains present to those in commercially cultivated Prunus species. Approximately 47% of chokecherry sampled tested positive for a ‘Ca. P. pruni’-related strain and phylogenetic analysis revealed high strain diversity, including six distinct clades and four newly identified lineages. In contrast, ‘Ca. P. pruni’ strains isolated from cultivated cherry and peach trees exhibited lower diversity and were infected by known disease outbreak-associated strains such as NWX. These data suggest limited transmission between wild and cultivated hosts in the western U.S., with patterns indicating spillover from orchards into nearby chokecherry populations rather than the reverse. However, in states east of the Rocky Mountains, chokecherry likely functions as a reservoir for orchard infections.

In 2024, an infestation of corn leafhoppers, Dalbulus maidis (DeLong) (Hemiptera: Cicadellidae), was detected in several commercial corn fields across Oklahoma (OK) (Faris et al. 2024). Corn hybrids in the infested field showed symptoms resembling maize bushy stunt, including chlorotic striping, reddening of leaves, production of multiple ears, and stunting. Visual disease incidence ranged from 25% to 100% among affected fields. Leaf samples from symptomatic plants were collected from 15 commercial corn fields across seven counties in OK (Payne, Logan, Caddo, Kay, Texas, Pottawatomie, and Grady) during September, October, and November of 2024. Each sample consisted of 3-4 symptomatic corn leaves randomly collected in each field. In addition, 43 corn leafhopper samples were collected from the symptomatic fields using handheld vacuums. Each corn leafhopper sample consisted of a minimum of 10 corn leafhoppers per field. In the laboratory, the corn leafhoppers were identified as D. maidis based on morphological characteristics as described (Faris et al. 2024). DNA from the 15 leaf samples was extracted from the leaf midrib and blade tissues using the DNeasy® Plant Mini Kit. Insect DNA was extracted using a CTAB-based method (Gorayeb et al. 2023), with each sample consisting of five pooled insects per field. DNA samples from plants and insects were initially screened using the R16F2n/R16R2 primer pair (Gundersen and Lee, 1996) for the presence of phytoplasmas. Seventeen insect and five plant samples tested positive for phytoplasma. Subsequent phytoplasma screening was performed on insect and plant samples collected from the same fields on the same dates, comprising a total of four insect and five plant samples. To further characterize the phytoplasma, a semi-nested PCR targeting the 16S rRNA gene was performed on these samples (four insect and five plant samples) using primer pairs P1/16S-SR followed by P1A/16S-SR (Wei et al. 2021), yielding an expected amplicon of approximately 1.5 Kb. An additional gene marker, the ribosomal protein (rp) gene, was also amplified using universal primers rpF1/rpR1 (Lee et al. 1998), producing 1.2 Kb PCR amplicons. PCR products were subjected to Sanger sequencing, and 16S rRNA and rp gene sequences were deposited in GenBank under accession numbers PX927497–PX927505 and PX993703-PX993711, respectively. BLASTn analysis of the 16S rRNA sequences showed 99.14–99.93% nucleotide identity with reference strains of ‘Candidatus Phytoplasma asteris’ associated with maize bushy stunt (accessions MW578284 and CP015149). Similarly, the rp gene sequences shared 99.91–100% nucleotide identity with the same reference strains. Using the iPhyClassifier tool (Zhao et al. 2013), the 16S rRNA gene sequences were classified within 16Sr group I, subgroup B, with a similarity coefficient of 1.0 (AP006628). The pairwise comparison and subsequent phylogenetic analysis showed that the OK isolates clustered within the 16SrI-B clade. This finding represents the first report of a 16SrI-B phytoplasma (‘Candidatus Phytoplasma asteris’) associated with maize bushy stunt in OK. Although currently classified as ‘Candidatus Phytoplasma asteris’, a proposal to establish a novel phytoplasma species, ‘Candidatus Phytoplasma zeae’, has been made based on ecological distinctiveness, vector specificity, whole-genome comparisons, and community consensus (Pellegrinetti et al. 2025).

Lethal wilt (LW), known as “Marchitez Letal” in Colombia, is an endemic disease affecting oil palms (Elaeis guineensis Jacq.) and a leading cause of crop loss. The disease is characterized by the drying of leaflets from the tip to the base, primarily impacting the lower third of the plant and progressively moving upward. This progression leads to physiological disturbances, including necrosis at the tips of immature inflorescence bracts (spines) and the detachment of bunch fruits, ultimately causing wilting. As a phytosanitary measure, infected palms are eradicated to prevent further spread of the disease. The primary goal of this research was to identify the bacteria associated with LW and to validate a molecular detection method. A 16S amplicon-based analysis was employed to identify and compare the microbial diversity in LW-affected palm tissues with those of healthy plants. Among the 16 OTUs corresponding to different bacterial genera found in all LW samples, taxonomic classification and symptomatology suggested that the bacteria closely associated with LW belong to the genus ‘Candidatus Liberibacter’. Further phylogenetic analysis indicated that these bacteria are part of the Rhizobiaceae family, grouping closely with other species of the genus ‘Ca. Liberibacter’. The concentration of the pathogen in different oil palm tissues was determined using droplet digital PCR and quantitative PCR, expressed in copies/μl in the LW samples. This study represents the first report of ‘Ca. Liberibacter’ sp. being associated with lethal wilt in oil palms of the Arecaceae family in Colombia. The findings from this research could contribute significantly to the development of effective management strategies to prevent crop losses. [Formula: see text] Copyright © 2026 The Author(s). This is an open access article distributed under the CC BY-NC-ND 4.0 International license .

Insecticide applications are commonly recommended for managing Diaphorina citri, the vector of huanglongbing (HLB), but their effectiveness in reducing transmission of ‘Candidatus Liberibacter asiaticus’ (CLas), especially during continuous psyllid influx and shoot growth, remains unclear. This study evaluated the efficacy of foliar application of thiamethoxam and spinetoram in reducing CLas transmission in sweet orange seedlings. Two experiments were conducted up to 13 days after first spray. In experiment 1, CLas-positive psyllids were confined in seedlings every 2 days. Treatments were: control; S14, one spray at day 0; and S7, sprays at days 0 and 7. In experiment 2, psyllids were released for free choice within a screenhouse every 2 days. Treatments were: control, S14, S7, and S3, sprays at day 0 and every 3 days. Sprays on day 0 were over unfolded leaves (V2 stage). Psyllid mortality was assessed in experiment 1. Psyllid occupancy (percentage of seedlings with at least one psyllid) and abundance (number of psyllids per seedling) were assessed in experiment 2. After 6 months, seedlings were tested for CLas by qPCR. In experiment 1, cumulative psyllid mortality was higher in sprayed treatments than in the control for both insecticides, but HLB incidence was similar. In experiment 2, both psyllid occupancy and abundance decreased with shorter spray intervals, with the lowest HLB incidence in S3. These findings suggest that reducing spray intervals can limit CLas transmission during periods of shoot growth and continuous vector pressure. However, CLas transmission was not entirely prevented, highlighting the need for integrated, area-wide management strategies.

Citrus huanglongbing (HLB) is recognized as the most destructive bacterial disease affecting citrus. Among the causal agents, Candidatus Liberibacter asiaticus (Las) is the predominant species causing HLB epidemics worldwide. Detecting this phloem limited bacterium at early or low titer stages and assessing its cellular activity remain major challenges for HLB research and management. To address these limitations, we developed a one step reverse transcription quantitative PCR (RT qPCR) assay for highly sensitive Las detection using total nucleic acids and the established Li 16S rRNA/rDNA primer–probe set. This method simultaneously amplifies both Las 16S rRNA and rDNA in a single reaction, increasing sensitivity by up to 500 fold compared with qPCR, which targets only 16S rDNA. The improved sensitivity reduced false negatives, expanded sampling capacity, and enabled detection of low titer infections previously undetectable. In addition, the higher abundance of 16S rRNA generated a consistent Ct gap between RT qPCR and qPCR, which we used to estimate relative Las cell activity in vivo in host insects and plants and to identify the most effective inoculum sources. This comparative detection strategy was further applied to evaluate inoculum potential, monitor changes in relative cell activity during in vitro cultures, and assess antimicrobial treatments targeting Las. The persistent detection of long lasting, low titer Las infections underscores the complex biology of the HLB causal agent and highlights ongoing challenges for effective disease management.

Citrus huanglongbing (HLB), caused by ‘Candidatus Liberibacter asiaticus’ (CLas), is a destructive disease threatening global citrus industry. Although citrus cultivars differ in HLB sensitivity, how infection alters endophytic bacterial communities in cultivars with contrasting susceptibility remains unclear. Here, we compared endophytic microbiome shifts in leaf and root tissues of HLB-susceptible Shatangju mandarin (Citrus reticulata cv. Shatangju) and HLB-tolerant Shatian pomelo (C. maxima cv. Shatian) at 10 months postgrafting with CLas-infected buds. Infected Shatangju mandarin showed severe symptoms and higher CLas levels in leaves than in roots, while infected Shatian pomelo remained asymptomatic with higher CLas in roots than in leaves. High-throughput 16S rRNA gene sequencing revealed that CLas infection restructured the endophytic microbial community in a tissue-specific manner. CLas-infected Shatian pomelo leaves displayed increased microbial diversity and network complexity, while CLas-infected Shatangju mandarin roots harbored more disease-suppressive taxa like Streptomyces. Across both cultivars, network complexity correlated inversely with CLas abundance. Key genera (e.g., Pseudomonas, Streptomyces, and Prevotella) correlated positively with CLas, suggesting roles in mitigating pathogen effects. Predicted functional profiling indicated activated pathways (amino acid metabolism, terpenoid/polyketide biosynthesis, and xenobiotic biodegradation) potentially supporting host defense in infected tissues. The HLB tolerance of Shatian pomelo appeared linked to tissue-specific bacterial restructuring, particularly recruitment of antibiotic-producing bacteria and enhanced metabolic resilience. These findings elucidated cultivar-specific microbial strategies against CLas, offering insights for microbiome-mediated HLB management.

Citrus huanglongbing (HLB), associated with the bacterium ‘Candidatus Liberibacter asiaticus’ and spread by the Asian citrus psyllid (Diaphorina citri; ACP), poses a significant threat to California’s citrus industry. First identified in Los Angeles in 2012, HLB has since spread through residential areas across Southern California. A risk-based survey (RBS) model has been developed to improve HLB surveillance and intervention. Within this framework, model components change as HLB dynamics shift, requiring regular updates to maintain data accuracy and model reliability. Disease spread is influenced by natural factors, such as ACP establishment and confirmed HLB locations, as well as human-mediated factors like global mobility (travel introduction from HLB-infected countries), transportation of citrus materials, nurseries, packinghouses, farmers’ markets, and proximity to private or otherwise inaccessible lands. Human-mediated risk factors account for approximately 26.3% (18.4 to 38.4%) of HLB incidence across different years, and natural causes predominantly explain the remaining 73.7% (61.6 to 81.7%). Notably, global mobility was crucial for early HLB detection in new areas, whereas ACP density strongly correlated with disease spread once established. A retrospective analysis from 2015 to 2022 evaluated the RBS model’s performance, showing a predictive power of 88 to 97%, which confirms its validity for developing targeted interventions and early detection strategies in California.