Putting 'X' into context: the diversity of 'Candidatus Phytoplasma pruni' strains associated with the induction of X-disease.

Recurrent epiphytotics of X-disease, caused by 'Candidatus Phytoplasma pruni', have inflicted significant losses on commercial cherry and peach production across North America in the last century. During this period, there have been multiple studies reporting different disease phenotypes, and more recently, identifying different strains through sequencing core genes, but the symptoms have not, to date, been linked with genotype. Therefore, in this study we collected and assessed differing disease phenotypes from multiple U.S. states and conducted multi-locus sequence analysis on these strains. We identified a total of five lineages associated with the induction of X-disease on commercial Prunus species and two lineages that were associated with wild P. virginiana. Despite a century of interstate plant movement, there were regional trends in terms of lineages present, and lineage-specific symptoms were observed on P. avium, P. cerasus, and P. virginiana, but not on P. persica. Cumulatively, these data have allowed us to define 'true' X-disease-inducing strains of concern to the stone fruit industry across North America, as well as potential sources of infection that exist in the extra-orchard environment.

Detection and differentiation of herbicide stresses in roses by Raman spectroscopy.

Herbicide application is a critical component of modern horticulture. Misuse of herbicides can result in damage to economically important plants. Currently, such damage can be detected only at symptomatic stages by subjective visual inspection of plants, which requires substantial biological expertise. In this study, we investigated the potential of Raman spectroscopy (RS), a modern analytical technique that allows sensing of plant health, for pre-symptomatic diagnostics of herbicide stresses. Using roses as a model plant system, we investigated the extent to which stresses caused by Roundup (Glyphosate) and Weed-B-Gon (2, 4-D, Dicamba and Mecoprop-p (WBG), two of the most commonly used herbicides world-wide, can be diagnosed at pre- and symptomatic stages. We found that spectroscopic analysis of rose leaves enables ~90% accurate detection of Roundup- and WBG-induced stresses one day after application of these herbicides on plants. Our results also show that the accuracy of diagnostics of both herbicides at seven days reaches 100%. Furthermore, we show that RS enables highly accurate differentiation between the stresses induced by Roundup- and WBG. We infer that this sensitivity and specificity arises from the differences in biochemical changes in plants that are induced by both herbicides. These findings suggest that RS can be used for a non-destructive surveillance of plant health to detect and identify herbicide-induced stresses in plants.

First Report of Tar Spot on Corn Caused by Phyllachora maydis in the Great Plains.

Tar spot caused by the fungus Phyllachora maydis Maubl. is a significant foliar disease of corn (Zea mays L.). Threatening corn production across the Americas, this disease can reduce the quality of silage and grain yield (Rocco da Silva et al. 2021; Valle-Torres et al. 2020). Lesions caused by P. maydis are usually black, glossy, and raised stromata on the leaf surface and occasionally on the husk. (Liu 1973; Rocco da Silva et al. 2021). Samples consistent with tar spot of corn were collected between September and October of 2022 from 6 fields in Kansas, 23 in Nebraska, and 6 in South Dakota. One sample was selected from each of the three states for further microscopic evaluation and molecular analysis. Signs of the fungus were visually and microscopically confirmed in eight Nebraska counties in October 2021; however, in the 2021, season tar spot sings were not found in Kansas and South Dakota. In the 2022 season disease severity varied by location; some fields in Kansas had <1% incidence, whereas in South Dakota disease incidence approached 1-2%, and in Nebraska between <1-5%. Stromata were present on both green and senescing tissues. Morphological characteristics of the pathogen were similar and consistent with the description of P. maydis (Parbery 1967) from all examined leaves across all locations. Asexual spores (conidia) were produced in pycnidial fruiting bodies ranging in size 1.29 to 2.82 x 8.84 to 16.95 µm (n = 40, average 1.98 × 13.30 µm). The pycnidial fruiting bodies were often found adjacent to perithecia within the stromata. For molecular confirmation, stromata were aseptically removed from leaves collected at each location and DNA extracted using a phenol chloroform method. The internal transcribed spacer (ITS) regions of the ribosomal RNA gene were sequenced using ITS1/ITS4 universal primers (Larena et al. 1999). Amplicons were Sanger sequenced (Genewiz, Inc., South Plainfield, NJ), and a consensus sequence for each sample was deposited in GenBank: Kansas (OQ200487), Nebraska (OQ200488), and South Dakota (OQ200489). Using the BLASTn, sequences from Kansas, Nebraska and South Dakota showed 100% homology with 100% query cover to other P. maydis GenBank accessions (MG881848.1; OL342916.1; OL342915.1). Koch's postulates were not performed given the obligate nature of the pathogen (Muller and Samuels 1984). This report documents the first confirmation of tar spot on corn in Kansas, Nebraska, and South Dakota (Great Plains).

Improved Detection of Little Cherry Virus-2 Using a Hydrolysis Probe to Manage the Pacific Northwest Little Cherry Disease Epidemic.

Little cherry virus-2 (LChV-2) is a viral pathogen that is reaching epidemic levels in Washington State. This virus is insect vectored and has significant impacts on sweet cherry production. To aid growers in making informed management decisions, we sought to develop a diagnostic assay to better detect isolates of LChV-2 currently found in Washington, allowing more accurate estimations of disease occurrence. This study showed that there were two distinct genotypes of LChV-2 present in Washington State. This information was used to develop an up-to-date reverse transcription real-time quantitative PCR assay, which was then optimized, validated, and compared with four previously published assays of a panel of field samples. This comparison demonstrated that the newly developed assay provided greater sensitivity, accurately detecting <10 copies per reaction and could detect both LChV-2 genotypes. Finally, we examined the effect of potential inhibitors in various tissue types from cherry, finding that young leaf tissue affected sensitivity of detection less than root tissues.

Effect of 'Candidatus Phytoplasma pruni' Infection on Sweet Cherry Fruit.

In sweet cherry (Prunus avium), infection by 'Candidatus Phytoplasma pruni' results in small fruit with poor color and taste, rendering the fruit unmarketable. Yet the disease pathology is poorly understood, particularly at the cultivar level. Therefore, in this study we examined the physiological effects of Ca. P. pruni infection across a range of cultivars and locations in eastern Washington. We found that infection could be separated into early and established stages based on pathogen titer, which correlated with disease severity, including fruit size, color, and sugar and metabolite content. Furthermore, we observed that the effects of early-stage infections were largely indistinguishable from healthy, uninfected plants. Cultivar- and location-specific disease outcomes were observed with regard to size, color, sugar content, and citric acid content. This study presents the first in-depth assessment of X-disease symptoms and biochemical content of fruit from commercially grown sweet cherry cultivars known to be infected with Ca. P. pruni.

Titer and distribution of little cherry virus 2 in Prunus avium.

Little cherry virus 2 (LChV-2) is a causal agent of little cherry disease, which produces small, misshapen fruit with poor color and taste. As LChV-2 symptoms are only present near harvest, molecular detection is essential for effective control. Therefore, we determined the titer and distribution of this virus in infected trees over time. While initial infections were found to be basipetal, in field trees, early-stage infection was characterized by uneven distribution and low titer, concentrated in woody stems. In contrast, established infections were systemic, and detection was consistent across tissues. These data provide improved sampling recommendations for the detection of LChV-2.

Development of a Reverse Genetic System for Studying Rose Rosette Virus in Whole Plants.

Rose rosette virus (RRV) is a negative-sense RNA virus with a seven-segmented genome that is enclosed by a double membrane. We constructed an unconventional minireplicon system encoding the antigenomic (ag)RNA1 (encoding the viral RNA-dependent RNA polymerase [RdRp]), agRNA3 (encoding the nucleocapsid protein [N]), and a modified agRNA5 containing the coding sequence for the iLOV protein in place of the P5 open reading frame (R5-iLOV). iLOV expression from the R5-iLOV template was amplified by activities of the RdRp and N proteins in Nicotiana benthamiana leaves. A mutation was introduced into the RdRp catalytic domain and iLOV expression was eliminated, indicating RNA1-encoded polymerase activity drives iLOV expression from the R5-iLOV template. Fluorescence from the replicon was highest at 3 days postinoculation (dpi) and declined at 7 and 13 dpi. Addition of the tomato bushy stunt virus (TBSV) P19 silencing-suppressor protein prolonged expression until 7 dpi. A full-length infectious clone system was constructed of seven binary plasmids encoding each of the seven genome segments. Agro-delivery of constructs encoding RRV RNAs 1 through 4 or RNAs 1 through 7 to N. benthamiana plants produced systemic infection. Finally, agro-delivery of the full-length RRV infectious clone including all segments produced systemic infection within 60 dpi. This advance opens new opportunities for studying RRV infection biology.

Raman spectroscopy as an early detection tool for rose rosette infection.

MAIN CONCLUSION: Hand-held Raman spectroscopy is a potential tool for a confirmatory, non-invasive, and non-destructive detection and identification of rose rosette disease. Using this spectroscopic approach, structural changes in roses that are associated with this viral infection can be revealed. The commercial rose shrub industry in the United States is one of the largest of its kind. All commercial rose varieties are susceptible to rose rosette disease (RRD), a deadly viral disease vectored by eriophyid mites. This disease is typically diagnosed visually and/or by PCR-based detection assays. The present work demonstrates that Raman spectroscopy can detect RRD in intact leaf tissue. It is shown that chemometric analysis can distinguish between spectra collected from symptomatic and asymptomatic tissue, as well as between healthy and asymptomatic tissue. This method will be useful as an initial screen for RRD prior to PCR analysis to help conserve reagents and save time.