First report of Calonectria ilicicola causing red crown rot of soybean in Indiana.

Soybean (Glycine max [L.] Merr.) samples from commercial fields in Decatur and Spencer counties, Indiana were submitted to the Purdue Plant and Pest Diagnostic Lab in August to October 2022. Plants exhibited whole-leaf to interveinal chlorosis of the foliage, red to dark brown external lesions on the crown spreading from the soil-line upward, and severe root rot. In the fields, patches of diseased plants were observed, with greater than 50% of the plants affected and yield loss up to 50%. Orange to red perithecia were present on the exterior of symptomatic stem tissue and ranged in size from 329 to 433 × 232 to 306 µm (n = 10). Stems were surface sterilized in 10% Clorox (0.825% NaOCl) for 1 min, then rinsed with sterile distilled water and dried. In a laminar flow hood, sections of symptomatic stem tissue were plated on using quarter-strength potato dextrose agar (QPDA) and incubated under fluorescent lights on a 12-hr light/dark cycle at 20°C. After 6 days, fungal colonies with fluffy aerial hyphae, which were white near the colony margins and orange to burnt-red near their center, grew uniformly from the stem tissue plated. Elongate, cylindrical hyaline conidia with zero to three septations measuring 45.5 to 73.8 × 4.4 to 6.7 µm (n = 22) grew in clusters from symptomatic stem tissue within the plate. Perithecia developed after 14 days. Falcate, hyaline ascospores with one to two septa measuring 29.4 to 54.7 × 4.6 to 6.8 (n = 23) µm developed within the perithecia. Calonectria ilicicola Boedijn & Reitsma was confirmed based on morphological characteristics (Padgett et al. 2015). Isolate PPDL 22-01457B was used for DNA extraction using the ZR Fungal/Bacterial DNA Miniprep kit (Zymo Research, Irvine, CA). The internal transcriber region (ITS), actin (ACT) and ß-tubulin (TUB2) genes were amplified (Carbone and Kohn 1999; Glass and Donaldson 1995; O'Donnell and Cigelnik 1997; White et al. 1990). Amplicons were sent for Sanger sequencing (Genewiz, Inc., South Plainfield, NJ), submitted to Genbank, and assigned accession numbers ITS: OQ932995, Actin: OR484986, and ß-tubulin: OR546281. Sequences were analyzed using the NCBI BLASTn tool with results showing 99.5 to 100% identical to C. ilicicola (GenBank accessions LC500063, OQ303403, CP085825, respectively). To perform Koch's Postulates, 90 soybean seeds (CP3620E) were planted in potting media (Berger, Saint-Modeste, Quebec, Canada) in a seed flat with 45 of the plants used as controls and grown under grow lights for 16hr light/8hr dark at 20℃. Individual seedling crowns were inoculated 3 days post-emergence with a 5 to 10 ml spore and hyphal suspension that was scraped from the surface of a 14-day old QPDA culture after adding 300 mL deionized (DI) to each plate grown at 20 to 22°C. The control plants received sterile-DI water. Plants were covered in a plastic bag for 72 h. Plant stems were sprayed with sterile-DI water once a day for seven days. Symptoms were observed after four days, but significant crown rot and lesions developed after two weeks before wilting and dying. Calonectria iliciola was isolated uniformly from symptomatic plants and identified morphologically. Control plants showed no symptoms. Inoculations were repeated 3 times with similar results. As of fall 2023, red crown rot has been confirmed in Adams and Rush counties in Indiana. Red crown rot has been confirmed in several Midwest states (Kleczewski et al. 2019, Neves et al. 2023), but the extent of its distribution and disease management strategies are still limited.

Whole Genome Sequencing-Based Tracing of a 2022 Introduction and Outbreak of Xanthomonas hortorum pv. pelargonii.

Globalization has made agricultural commodities more accessible, available, and affordable. However, their global movement increases the potential for invasion by pathogens and necessitates development and implementation of sensitive, rapid, and scalable surveillance methods. Here, we used 35 strains, isolated by multiple diagnostic laboratories, as a case study for using whole genome sequence data in a plant disease diagnostic setting. Twenty-seven of the strains were isolated in 2022 and identified as Xanthomonas hortorum pv. pelargonii. Eighteen of these strains originated from material sold by a plant breeding company that had notified clients following a release of infected geranium cuttings. Analyses of whole genome sequences revealed epidemiological links among the 27 strains from different growers that confirmed a common source of the outbreak and uncovered likely secondary spread events within facilities that housed plants originating from different plant breeding companies. Whole genome sequencing data were also analyzed to reveal how preparatory and analytical methods can impact conclusions on outbreaks of clonal pathogenic strains. The results demonstrate the potential power of using whole genome sequencing among a network of diagnostic labs and highlight how sharing such data can help shorten response times to mitigate outbreaks more expediently and precisely than standard methods.

Uncovering the Infection Strategy of Phyllachora maydis during Maize Colonization: A Comprehensive Analysis.

Tar spot, a disease caused by the ascomycete fungal pathogen Phyllachora maydis, is considered one of the most significant yield-limiting diseases of maize (Zea mays L.) within the United States. P. maydis may also be found in association with other fungi, forming a disease complex which is thought to result in the characteristic fish eye lesions. Understanding how P. maydis colonizes maize leaf cells is essential for developing effective disease control strategies. Here, we used histological approaches to elucidate how P. maydis infects and multiplies within susceptible maize leaves. We collected tar spot-infected maize leaf samples from four different fields in northern Indiana at three different time points during the growing season. Samples were chemically fixed and paraffin-embedded for high-resolution light and scanning electron microscopy. We observed a consistent pattern of disease progression in independent leaf samples collected across different geographical regions. Each stroma contained a central pycnidium that produced asexual spores. Perithecia with sexual spores developed in the stomatal chambers adjacent to the pycnidium, and a cap of spores formed over the stroma. P. maydis reproductive structures formed around but not within the vasculature. We observed P. maydis associated with two additional fungi, one of which is likely a member of the Paraphaeosphaeria genus; the other is an unknown fungi. Our data provide fundamental insights into how this pathogen colonizes and spreads within maize leaves. This knowledge can inform new approaches to managing tar spot, which could help mitigate the significant economic losses caused by this disease.

Characterization of Virulence Phenotypes of Heterodera glycines during 2020 in Indiana.

The soybean cyst nematode (SCN, Heterodera glycines) is the most yield-limiting pathogen of soybean in the US. This study was carried out in order to provide updated information on SCN virulence phenotypes in Indiana. A total of 124 soil samples were collected from soybean fields in 2020 and all of them tested positive for SCN. The virulence phenotypes of 42 representative SCN populations were determined with seven soybean indicator lines using the standard HG type test. The most predominant HG types were 2.5.7 and 1.2.5.7, which accounted for 64% and 14% of the SCN populations tested, respectively. None of the SCN populations tested were rated as HG type 0, compared with 28% of the populations in a previous survey in Indiana during 2006-2008. Nearly 88% of the SCN populations evaluated in this study overcame the resistance provided by PI 88788, which is the most common source of resistance in soybean, up from 56% in the 2006-2008 survey. Approximately 14% of SCN populations tested were virulent to PI 548402 (Peking), in contrast to 0% in the 2006-2008 survey. This study reveals a trend of increasing virulence of SCN populations to resistant sources of soybean in Indiana. The results highlighted the importance of rotating soybean varieties with different types of resistance and identifying new sources of resistance for sustainable management of SCN.

First Report of Belonolaimus Longicaudatus Infecting Soybean in Indiana.

Soybeans (Glycine max) are an important crop for Indiana, playing a major role in the state's economy. In June 2021, symptomatic soybean plants were submitted to Purdue University's Plant and Pest Diagnostic Laboratory for diagnosis. Sting nematodes were observed on the surface of the washed roots using stereo- and brightfield compound microscopy. A total of 76 sting nematodes per 100 cm3 soil were recovered from a composite soil sample. Morphological features and measurements of adult females and males of the sting nematode population were similar to those described for Belonolaimus longicaudatus. Molecular analysis confirmed the morphological identification using D2-D3 expansion segment of the 28S large subunit ribosomal DNA and internal transcribed spacer (ITS) regions. The consensus sequences were submitted to the National Center for Biotechnology Information (NCBI) database with accession numbers OM632679 and OM632681 for the D2-D3 and ITS regions, respectively. Parasitism of the sting nematode population to soybean plants was confirmed as its average population increased from 27 to 40 nematodes per pot 4 wk after inoculation under greenhouse conditions. To the best of our knowledge, this represents the first report of the sting nematode B. longicaudatus in Indiana.

Bacterial Gall of Loropetalum chinense caused by Pseudomonas amygdali pv. loropetali pv. nov.

In 2012, stem gall samples on Loropetalum chinense were sent to Florida diagnostic labs from Alabama and Florida nurseries. A fluorescent pseudomonad was consistently isolated from the galls. The organism was originally identified in Alabama based on 16S rRNA sequencing as Pseudomonas savastanoi, which causes a production-limiting disease of olive. The loropetalum strains and reference strains were compared using LOPAT, Biolog, fatty acid analysis, multilocus sequence analysis (MLSA), and pathogenicity tests. The LOPAT tests placed the loropetalum strains within Pseudomonas syringae. Biolog and fatty acid analysis placed the strains in various pathovars of P. syringae and P. savastanoi, respectively. MLSA of a set of housekeeping genes separated the loropetalum strains from the olive knot-inducing strains. Our work indicates there is a need to use more tests than 16S rRNA to accurately diagnose new bacterial diseases. In pathogenicity tests, the loropetalum strains produced galls only on loropetalum, but not on olive, mandevilla, or almond, indicating this strain is not a threat to the olive industry. Based on the pathogenicity assays and molecular tests, loropetalum strains represent a distinct and new pathovar, P. amygdali pv. loropetali pv. nov., for which the strain PDC13-208 (= DSMZ 105780PT) has been designated as the pathotype strain.

Everything Is Faster: How Do Land-Grant University-Based Plant Diagnostic Laboratories Keep Up with a Rapidly Changing World?

Plant diagnostic laboratories (PDLs) are at the heart of land-grant universities (LGUs) and their extension mission to connect citizens with research-based information. Although research and technological advances have led to many modern methods and technologies in plant pathology diagnostics, the pace of adopting those methods into services at PDLs has many complexities we aim to explore in this review. We seek to identify current challenges in plant disease diagnostics, as well as diagnosticians' and administrators'perceptions of PDLs' many roles. Surveys of diagnosticians and administrators were conducted to understand the current climate on these topics. We hope this article reaches researchers developing diagnostic methods with modern and new technologies to foster a better understanding of PDL diagnosticians' perspective on method implementation. Ultimately, increasing researchers' awareness of the factors influencing method adoption by PDLs encourages support, collaboration, and partnerships to advance plant diagnostics.