Identification and molecular mapping of a major gene conferring resistance to Phytophthora sansomeana in soybean 'Colfax'.

KEY MESSAGE: The first single dominant resistance gene contributing major resistance to the oomycete pathogen Phytophthora sansomeana was identified and mapped from soybean 'Colfax'. Phytophthora root rot (PRR) is one of the most important diseases in soybean (Glycine max). PRR is well known to be caused by Phytophthora sojae, but recent studies showed that P. sansomeana also causes extensive root rot of soybean. Depending upon the isolate, it might produce aggressive symptoms, especially in seeds and seedlings. Unlike P. sojae which can be effectively managed by Rps genes, no known major resistance genes have yet been reported for P. sansomeana. Our previous study screened 470 soybean germplasm lines for resistance to P. sansomeana and found that soybean 'Colfax' (PI 573008) carries major resistance to the pathogen. In this study, we crossed 'Colfax' with a susceptible parent, 'Senaki', and developed three mapping populations with a total of 234 F2:3 families. Inheritance pattern analysis indicated a 1:2:1 ratio for resistant: segregating: susceptible lines among all the three populations, indicating a single dominant gene conferring the resistance in 'Colfax' (designated as Rpsan1). Linkage analysis using extreme phenotypes anchored Rpsan1 to a 30 Mb region on chromosome 3. By selecting nine polymorphic SNP markers within the region, Rpsan1 was genetically delimited into a 21.3 cM region between Gm03_4487138_A_C and Gm03_5451606_A_C, which corresponds to a 1.06 Mb genomic region containing nine NBS-LRR genes based on Gmax2.0 assembly. The mapping results were then validated using two breeding populations derived from 'E12076T-03' × 'Colfax' and 'E16099' × 'Colfax'. Marker-assisted resistance spectrum analyses with 9 additional isolates of P. sansomeana indicated that Rpsan1 may be effective towards a broader range of P. sansomeana isolates and has strong merit in protecting soybean to this pathogen in the future.

Genome-informed trophic classification and functional characterization of virulence proteins from the maize tar spot pathogen Phyllachora maydis.

Phyllachora maydis is an ascomycete foliar fungal pathogen and the causal agent of tar spot in maize. Though P. maydis is considered an economically important foliar pathogens of maize, our general knowledge of the trophic lifestyle and functional role of effector proteins from this fungal pathogen remains limited. Here, we utilized a genome-informed approach to predict the trophic lifestyle of P. maydis and functionally characterized a subset of candidate effectors from this fungal pathogen. Leveraging the most recent P. maydis genome annotation and the CATAStrophy pipeline, we show this fungal pathogen encodes a predicted Carbohydrate-active enzymes (CAZymes) repertoire consistent with that of biotrophs. To investigate fungal pathogenicity, we selected 18 candidate effector proteins that were previously shown to be expressed during primary disease development. We assessed whether these putative effectors share predicted structural similarity with other characterized fungal effectors and determined whether any suppress plant immune responses. Using AlphaFold2 and Foldseek, we showed one candidate effector, PM02_g1115, adopts a predicted protein structure similar to that of an effector from Verticillium dahlia. Furthermore, transient expression of candidate effector-fluorescent protein fusions in Nicotiana benthamiana revealed two putative effectors, PM02_g378 and PM02_g2610, accumulated predominantly in the cytosol, and three candidate effectors, PM02_g1115, PM02_g7882, and PM02_g8240 consistently attenuated chitin-mediated reactive oxygen species production. Collectively, these results presented herein provide insights into the predicted trophic lifestyle and putative functions of effectors from P. maydis and will likely stimulate continued research to elucidate the molecular mechanisms used by P. maydis to induce tar spot.

Host range characterization of Phytophthora sansomeana across corn, soybean, wheat, winter cereal rye, dry bean and oats, and an in vitro assessment of seed treatment sensitivity.

Formally described in 2009, Phytophthora sansomeana is a pathogen of increasing interest in native, agricultural, and horticulturally important plant species. The objective of this study was to elucidate the symptomatic and asymptomatic host range of P. sansomeana on six agricultural crop species commonly used in field crop rotations in Michigan. In addition, sensitivity to oomicides commonly used in seed treatments including, oxathiapiprolin, mefenoxam, ethaboxam, and pyraclostrobin was performed to aid in disease management recommendations. Plant biomass, quantity of P. sansomeana DNA in roots, and reisolations were used to assess pathogenicity and virulence of eighteen isolates of P. sansomeana on each plant species using an inoculated seedling growth chamber assay. Isolates displayed varying levels of virulence to the hosts tested. Reisolations were completed for each plant species tested, and varying quantities of P. sansomeana DNA were found within all plant species root samples. Corn, wheat, soybean, dry bean, and winter cereal rye plants were symptomatic hosts with significant reduction observed in total plant biomass. No significant reduction in total plant biomass was observed in oats, and oat roots harbored the least amount of P. sansomeana DNA. No P. sansomeana isolates were insensitive to the oomicide compounds tested with mean absolute EC50 values of 7.8 x 10-2 µg/ml for mefenoxam, 1.13 x 10-1 µg/ml for ethaboxam, 2.6 x 10-2 µg/ml for oxathiapiprolin, and 3.04 x 10-1 µg/ml for pyraclostrobin. These results suggest that common crop rotations in Michigan may not be a viable option to reduce soilborne inoculum accumulation and oomicide seed treatments should be considered for early season management of P. sansomeana.

Multistate Sensitivity Monitoring of Fusarium virguliforme to the SDHI Fungicides Fluopyram and Pydiflumetofen in the United States.

Sudden death syndrome (SDS), caused by Fusarium virguliforme, is an important yield-limiting disease of soybean (Glycine max). From 1996 to 2022, cumulative yield losses attributed to SDS in North America totaled over 25 million metric tons, which was valued at over US $7.8 billion. Seed treatments are widely used to manage SDS by reducing early season soybean root infection by F. virguliforme. Fluopyram (succinate dehydrogenase inhibitor [SDHI] - FRAC 7), a fungicide seed treatment for SDS management, has been registered for use on soybean in the United States since 2014. A baseline sensitivity study conducted in 2014 evaluated 130 F. virguliforme isolates collected from five states to fluopyram in a mycelial growth inhibition assay and reported a mean EC50 of 3.35 mg/liter. This baseline study provided the foundation for the objectives of this research: to detect any statistically significant change in fluopyram sensitivity over time and geographical regions within the United States and to investigate sensitivity to the fungicide pydiflumetofen. We repeated fluopyram sensitivity testing on a panel of 80 historical F. virguliforme isolates collected from 2006 to 2013 (76 of which were used in the baseline study) and conducted testing on 123 contemporary isolates collected from 2016 to 2022 from 11 states. This study estimated a mean absolute EC50 of 3.95 mg/liter in isolates collected from 2006 to 2013 and a mean absolute EC50 of 4.19 mg/liter in those collected in 2016 to 2022. There was no significant change in fluopyram sensitivity (P = 0.1) identified between the historical and contemporary isolates. A subset of 23 isolates, tested against pydiflumetofen under the same conditions, estimated an absolute mean EC50 of 0.11 mg/liter. Moderate correlation was detected between fluopyram and pydiflumetofen sensitivity estimates (R = 0.53; P < 0.001). These findings enable future fluopyram and pydiflumetofen resistance monitoring and inform current soybean SDS management strategies in a regional and national context.

It's a Trap! Part I: Exploring the Applications of Rotating-Arm Impaction Samplers in Plant Pathology.

Although improved knowledge on the movement of airborne plant pathogens is likely to benefit plant health management, generating this knowledge is often far more complicated than anticipated. This complexity is driven by the dynamic nature of environmental variables, diversity among pathosystems that are targeted, and the unique needs of each research group. When using a rotating-arm impaction sampler, particle collection is dependent on the pathogen, environment, research objectives, and limitations (monetary, environmental, or labor). Consequently, no design will result in 100% collection efficiency. Fortunately, it is likely that multiple approaches can succeed despite these constraints. Choices made during design and implementation of samplers can influence the results, and recognizing this influence is crucial for researchers. This article is for beginners in the art and science of using rotating-arm impaction samplers; it provides a foundation for designing a project, from planning the experiment to processing samples. We present a relatively nontechnical discussion of the factors influencing pathogen dispersal and how placement of the rotating-arm air samplers alters propagule capture. We include a discussion of applications of rotating-arm air samplers to demonstrate their versatility and potential in plant pathology research as well as their limitations.

It's a Trap! Part II: An Approachable Guide to Constructing and Using Rotating-Arm Air Samplers.

An increasing number of researchers are looking to understand the factors affecting microbial dispersion but are often limited by the costs of commercially available air samplers. Some have reduced these costs by designing self-made versions; however, there are no published sampler designs, and there is limited information provided on the actual construction process. Lack of appropriate reference material limits the use of these self-made samplers by many researchers. This manuscript provides a guide to designing and constructing rotating-arm impaction air samplers by covering (i) environmental considerations, (ii) construction materials and equipment, (iii) the construction process, and (iv) air sampler deployment. Information regarding how to calculate rotational velocity, motor speed, and power supply requirements and to troubleshoot common issues is presented in an approachable format for individuals without experience in electronics or machining. Although many of the components discussed in this guide may change in their availability or be updated over time, this document is intended to serve as a "builder's guide" for future research into air sampling technology for phytopathology research.

Management of Soybean Cyst Nematode and Sudden Death Syndrome with Nematode-Protectant Seed Treatments Across Multiple Environments in Soybean.

As soybean (Glycine max) production continues to expand in the United States and Canada, so do pathogens and pests that directly threaten soybean yield potential and economic returns for farmers. One such pathogen is the soybean cyst nematode (SCN; Heterodera glycines). SCN has traditionally been managed using SCN-resistant cultivars and rotation with nonhost crops, but the interaction of SCN with sudden death syndrome (SDS; caused by Fusarium virguliforme) in the field makes management more difficult. Nematode-protectant seed treatments have become options for SCN and SDS management. The objectives of this study were to evaluate nematode-protectant seed treatments for their effects on (i) early and full season SCN reproduction, (ii) foliar symptoms and root-rot caused by SDS, and (iii) soybean yield across environments accounting for the above factors. Using a standard protocol, field trials were implemented in 13 states and one Canadian province from 2019 to 2021 constituting 51 site-years. Six nematode-protectant seed treatment products were compared with a fungicide + insecticide base treatment and a nontreated check. Initial (at soybean planting) and final (at soybean harvest) SCN egg populations were enumerated, and SCN females were extracted from roots and counted at 30 to 35 days postplanting. Foliar disease index (FDX) and root rot caused by the SDS pathogen were evaluated, and yield data were collected for each plot. No seed treatment offered significant nematode control versus the nontreated check for in-season and full-season nematode response, no matter the initial SCN population or FDX level. Of all treatments, ILEVO (fluopyram) and Saltro (pydiflumetofen) provided more consistent increases in yield over the nontreated check in a broader range of SCN environments, even when FDX level was high.

Elucidating the Obligate Nature and Biological Capacity of an Invasive Fungal Corn Pathogen.

Tar spot is a devasting corn disease caused by the obligate fungal pathogen Phyllachora maydis. Since its initial identification in the United States in 2015, P. maydis has become an increasing threat to corn production. Despite this, P. maydis has remained largely understudied at the molecular level, due to difficulties surrounding its obligate lifestyle. Here, we generated a significantly improved P. maydis nuclear and mitochondrial genome, using a combination of long- and short-read technologies, and also provide the first transcriptomic analysis of primary tar spot lesions. Our results show that P. maydis is deficient in inorganic nitrogen utilization, is likely heterothallic, and encodes for significantly more protein-coding genes, including secreted enzymes and effectors, than previous determined. Furthermore, our expression analysis suggests that, following primary tar spot lesion formation, P. maydis might reroute carbon flux away from DNA replication and cell division pathways and towards pathways previously implicated in having significant roles in pathogenicity, such as autophagy and secretion. Together, our results identified several highly expressed unique secreted factors that likely contribute to host recognition and subsequent infection, greatly increasing our knowledge of the biological capacity of P. maydis, which have much broader implications for mitigating tar spot of corn. [Formula: see text] Copyright © 2023 The Author(s). This is an open access article distributed under the CC BY-NC-ND 4.0 International license.

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.

Field and Greenhouse Assessment of Seed Treatment Fungicides for Management of Sudden Death Syndrome and Yield Response of Soybean.

Seed treatments for the management of sudden death syndrome (SDS) caused by Fusarium virguliforme are available in the United States and Canada; however, side-by-side comparisons of these seed treatments are lacking. Sixteen field experiments were established in Illinois, Indiana, Iowa, Michigan, and Wisconsin, United States, and Ontario, Canada, in 2019 and 2020 to evaluate seed treatment combinations. Treatments included a nontreated check (NTC), fungicide and insecticide base seed treatments (base), fluopyram, base + fluopyram, base + saponin extracts from Chenopodium quinoa, base + fluopyram + heat-killed Burkholderia rinojenses, base + pydiflumetofen, base + thiabendazole + heat-killed B. rinojenses, and base + thiabendazole + C. quinoa extracts + heat-killed B. rinojenses. Treatments were tested on SDS moderately resistant and susceptible soybean cultivars at each location. Overall, NTC and base had the most root rot, most foliar disease index (FDX), and lowest yield. Base + fluopyram and base + pydiflumetofen were most effective for managing SDS. Moderately resistant cultivars reduced FDX in both years but visual root rot was greater on the moderately resistant than the susceptible cultivars in 2020. Yield response to cultivar was also inconsistent between the 2 years. In 2020, the susceptible cultivar provided significantly more yield than the moderately resistant cultivar. Treatment effect for root rot and FDX was similar in field and greenhouse evaluations. These results reinforce the need to include root rot evaluations in addition to foliar disease evaluations in the breeding process for resistance to F. virguliforme and highlights the importance of an integrated SDS management plan because not a single management tactic alone provides adequate control of the disease.

A ß-lactamase gene of Fusarium oxysporum alters the rhizosphere microbiota of soybean.

The rhizosphere is a multitrophic environment, and for soilborne pathogens such as Fusarium oxysporum, microbial competition in the rhizosphere is inevitable before reaching and infecting roots. This study established a tritrophic interaction among the plant growth-promoting rhizobacterium Burkholderia ambifaria, F. oxysporum and Glycine max (soybean) to study the effects of F. oxysporum genes on shaping the soybean microbiota. Although B. ambifaria inhibited mycelial growth and increased bacterial propagation in the presence of F. oxysporum, F. oxysporum still managed to infect soybean in the presence of B. ambifaria. RNA-Seq identified a putative F. oxysporum secretory ß-lactamase-coding gene, FOXG_18438 (abbreviated as Fo18438), that is upregulated during soybean infection in the presence of B. ambifaria. The ∆Fo18438 mutants displayed reduced mycelial growth towards B. ambifaria, and the complementation of full Fo18438 and the Fo18438 ß-lactamase domain restored mycelial growth. Using the F. oxysporum wild type, ∆Fo18438 mutants and complemented strains with full Fo18438, Fo18438 ß-lactamase domain or Fo18438 RTA1-like domain for soil inoculation, 16S rRNA amplicon sequencing revealed that the abundance of a Burkholderia operational taxonomic unit (OTU) was increased in the rhizosphere microbiota infested by the strains with Fo18438 ß-lactamase domain. Non-metric multidimensional scaling and PICRUSt2 functional analysis revealed differential abundance for the bacterial ß-lactam-related functions when contrasting the genotypes of F. oxysporum. These results indicated that the Fo18438 ß-lactamase domain provides F. oxysporum with the advantage of growing into the soybean rhizosphere, where ß-lactam antibiosis is involved in microbial competition. Accordingly, this study highlights the capability of an F. oxysporum gene for altering the soybean rhizosphere and taproot microbiota.

Identification and characterization of pleiotropic and epistatic QDRL conferring partial resistance to Pythium irregulare and P. sylvaticum in soybean.

KEY MESSAGE: Pleiotropic and epistatic quantitative disease resistance loci (QDRL) were identified for soybean partial resistance to different isolates of Pythium irregulare and Pythium sylvaticum. Pythium root rot is an important seedling disease of soybean [Glycine max (L.) Merr.], a crop grown worldwide for protein and oil content. Pythium irregulare and P. sylvaticum are two of the most prevalent and aggressive Pythium species in soybean producing regions in the North Central U.S. Few studies have been conducted to identify soybean resistance for management against these two pathogens. In this study, a mapping population (derived from E13390 x E13901) with 228 F4:5 recombinant inbred lines were screened against P. irregulare isolate MISO 11-6 and P. sylvaticum isolate C-MISO2-2-30 for QDRL mapping. Correlation analysis indicated significant positive correlations between soybean responses to the two pathogens, and a pleiotropic QDRL (qPirr16.1) was identified. Further investigation found that the qPirr16.1 imparts dominant resistance against P. irregulare, but recessive resistance against P. sylvaticum. In addition, two QDRL, qPsyl15.1, and qPsyl18.1 were identified for partial resistance to P. sylvaticum. Further analysis revealed epistatic interactions between qPirr16.1 and qPsyl15.1 for RRW and DRX, whereas qPsyl18.1 contributed resistance to RSE. Marker-assisted resistance spectrum analysis using F6:7 progeny lines verified the resistance of qPirr16.1 against four additional P. irregulare isolates. Intriguingly, although the epistatic interaction of qPirr16.1 and qPsyl15.1 can be confirmed using two additional isolates of P. sylvaticum, the interaction appears to be suppressed for the other two P. sylvaticum isolates. An 'epistatic gene-for-gene' model was proposed to explain the isolate-specific epistatic interactions. The integration of the QDRL into elite soybean lines containing all the desirable alleles has been initiated.

Ecology and diversity of culturable fungal species associated with soybean seedling diseases in the Midwestern United States.

AIMS: To isolate and characterize fungi associated with diseased soybean seedlings in Midwestern soybean production fields and to determine the influence of environmental and edaphic factors on their incidence. METHODS AND RESULTS: Seedlings were collected from fields with seedling disease history in 2012 and 2013 for fungal isolation. Environmental and edaphic data associated with each field was collected. 3036 fungal isolates were obtained and assigned to 76 species. The most abundant genera recovered were Fusarium (73%) and Trichoderma (11.2%). Other genera included Mortierella, Clonostachys, Rhizoctonia, Alternaria, Mucor, Phoma, Macrophomina and Phomopsis. Most recovered species are known soybean pathogens. However, non-pathogenic organisms were also isolated. Crop history, soil density, water source, precipitation and temperature were the main factors influencing the abundance of fungal species. CONCLUSION: Key fungal species associated with soybean seedling diseases occurring in several US production regions were characterized. This work also identified major environment and edaphic factors affecting the abundance and occurrence of these species. SIGNIFICANCE AND IMPACT OF THE STUDY: The identification and characterization of the main pathogens associated with seedling diseases across major soybean-producing areas could help manage those pathogens, and devise more effective and sustainable practices to reduce the damage they cause.

First Report of Southern Rust (Puccinia polysora) on Corn (Zea mays) in Michigan.

In Michigan, corn (Zea mays) is grown on 2.35 million acres with an annual production valued at $1.36 billion dollars (USDA-NASS). Southern rust is caused by the obligate biotrophic fungus Puccinia polysora Underw. and is often ranked in the top five most destructive corn diseases in the southern U.S. (Mueller et al. 2020). Yield losses due to southern rust in the northern U.S. have been considerable and estimated to be 231 million bushels from 2016 to 2019. In 2020 and 2021, corn leaf samples exhibiting signs typical of infection by P. polysora were collected from commercial production fields across Michigan. In 2020, samples were collected from two counties, Branch and Hillsdale. In 2021, samples were collected from 10 additional counties, Allegan, Barry, Calhoun, Eaton, Ingham, Kent, Montcalm, Shiawassee, Tuscola, and Van Buren. Uredinia of P. polysora were observed aggregated primarily on the upper leaf surface, light cinnamon brown to bright orange, ovular, and surrounded by yellow halos. Urediniospores were yellow to gold in the center, hyaline along the outer membrane, ellipsoid to obovoid, with short echinulations on the surface when viewed at 40x magnification under a light microscope. Urediniospores (n=180) measured 17 to 28 x 26 to 38 µm. No telia were observed. To confirm identification, the large subunit (28S) rDNA was amplified and sequenced with rust specific primers as described in Aime (2006) and Aime et al. (2018) on a sample collected from Shiawassee County in 2021. The resulting DNA sequence (GenBank Accession No. OL468037) shared 99.79% identity (932/934 bp) with P. polysora voucher BPI 863756 (GenBank Accession No. GU058024; Dixon et al. 2010). This report serves as the first documentation of southern rust in Michigan and an initial survey of its distribution throughout the state. Because of the ability of P. polysora spores to travel long distances via wind (Cammack 1959), it is likely that disease was present but not detected in additional counties not included in this report. Although widespread yield losses due to southern rust have not been documented in Michigan, there have been anecdotal reports of 30 bushels per acre losses in grain corn and 30% loss of tonnage from silage fields. Understanding the distribution of southern rust can help inform future disease management and corn breeding research. Furthermore, the distribution of southern rust is projected to move poleward by 15° by 2100 due to increasing global temperatures (Ramirez-Cabral et al. 2017), and the movement of southern rust into northern corn growing regions should be documented. Additional Michigan counties with confirmations of southern rust will continue to be reported via the corn IPMpipe https://corn.ipmpipe.org/.

First report of Diaporthe eres causing leaf spot disease on Machilus thunbergii in Korea.

Machilus thunbergii (Japanese bay tree) is native to warm temperate and subtropical regions in East Asia such as China, Japan, Korea, Taiwan, and Vietnam (Wu et al., 2006). This tree is used for landscape trees, windbreaks, and furniture because the wood is hard and dense (Hong et al., 2016). In May 2020, a leaf spot disease was observed on M. thunbergii in an arboretum on Wando Island, Korea. Among 25 trees surveyed in the arboretum, 7 trees showed 5 to 30% leaf spot disease. Symptoms consisted of gray and dry leaf spots up to approximately one to two centimeters in diameter, surrounded by a deep black margin. Leaf samples containing lesions were collected from the seven diseased trees. Pieces of leaf tissue (5mm × 5mm) were cut from the lesion margins and surface disinfected with 1% sodium hypochlorite (NaOCl) for 1 min and rinsed with sterile distilled water three times, patted dry on sterile paper towel and placed on Potato Dextrose Agar (PDA) in Petri dishes. From the cultures, ten fungal isolates were obtained and two representative isolates (CMML20-5 and CMML20-6) were stored at the Molecular Microbiology Laboratory, Chonnam National University, Gwangju, Korea. Colony morphology of the two isolates on PDA was observed after 7 days at 25°C in the dark. Conidiomata were induced after 7days in a 14h-10h light-dark condition using sufficiently grown mycelium in PDA, and both alpha and beta conidia were observed. Alpha conidia were 7.6 ± 0.9 × 2.8 ± 0.4 µm (n = 30), fusiform, aseptate, and hyaline. Beta conidia were 28.1 ± 3.6 × 2.7 ± 0.4 µm (n = 30), aseptate, hyaline, linear to hooked. Genomic DNA of the two isolates was extracted using the CTAB DNA extraction method (Cubero et al., 1999), followed by PCR using primer sets of the internal transcribed spacer (ITS1/ITS4) (White et al., 1990), elongation factor 1-α (EF1-728F/EF1-986R), calmodulin (CAL228F/CAL737R) (Carbone and Kohn, 1999), and TUB2 (Bt2a/Bt2b) (Glass and Donaldson 1995). PCR products were sequenced and analyzed to confirm species identity. The obtained sequences were deposited in GenBank (accession numbers OM049469, OM049470 for ITS, OM069429, OM069430 for EF1-α, OP130141, OP130142 for CAL, and OP130139, OP130140 for TUB2). BLASTn search analyses for ITS, EF1-α, CAL, and TUB2 sequences of two isolates selected resulted in near identical match (>97% for ITS, 100% for EF1-α, >99% for CAL, and >96% for TUB2) to sequences of Diaporthe eres strain AR4346 (=Phomopsis fukushii) (JQ807429 for ITS, JQ807355 for EF1-α, KJ435003 for CAL, and KJ420823 for TUB2). Phylogenetic analysis using maximum likelihood indicated that the two isolates grouped with reference strains (AR4346, AR4349, and AR4363) of D. eres with 76% bootstrap support. Based on morphological and phylogenetic analyses, the two isolates characterized in this study are members of the Diaporthe eres species complex as described by Udayanga et at. 2014. Pathogenicity tests were conducted using both detached leaf and whole plant assays. Mycelial PDA plugs (5-mm in diameter) or 10µl of 106 conidia suspensions were inoculated on detached leaves of M. thunbergii from 2-year-old trees and placed in 90 mm Petri-dishes containing wet filter papers or water agar medium. Mock inoculated controls used water in place of conidial suspensions. The plates were sealed with Parafilm and incubated at 25°C in the dark. Two year old M. thunbergii trees were inoculated with wet mycelia (1.5g) that was ground with a homogenizer and mixed with 50ml of sterile water and sprayed onto wounded leaves and stems with a needle. Mock inoculated controls were sprayed with water only. The inoculated seedlings were placed in plastic containers at 25 to 30°C to maintain high humidity. The pathogenicity tests were repeated three times with three replications. In detached leaves, symptoms of black spots were observed 6 days after mycelial plug inoculation and 20 days after conidia inoculation. In whole plants, typical symptoms were observed 9 days after inoculation. Symptoms were not observed on the control leaves and plants. Diaporthe eres was re-isolated from the inoculated leaf and whole plants and morphologically identified, fulfilling Koch's postulates. Diaporthe eres has been reported to cause a leaf spot on Photinia × fraseri 'Red Robin' in China (Song et al. 2019). To our knowledge, this is the first report of leaf spot disease caused by Diaporthe eres on Japanese bay tree (Machilus thunbergii) in Korea. It is expected that use of this tree will expand given its utility, however infection with D. eres can cause serious diseases to the leaves and stems. Therefore, further studies on disease management are needed.

Phytophthora sojae Pathotype Distribution and Fungicide Sensitivity in Michigan.

Identifying the pathotype structure of a Phytophthora sojae population is crucial for the effective management of Phytophthora stem and root rot of soybean (PRR). P. sojae has been successfully managed with major resistance genes, partial resistance, and fungicide seed treatments. However, prolonged use of resistance genes or fungicides can cause pathogen populations to adapt over time, rendering resistance genes or fungicides ineffective. A statewide survey was conducted to characterize this pathotype structure and fungicide sensitivity of P. sojae within Michigan. Soil samples were collected from 69 fields with a history of PRR and fields having consistent plant stand establishment issues. Eighty-three isolates of P. sojae were obtained, and hypocotyl inoculations were performed on 14 differential soybean cultivars, all of which carry a single Rps gene or no resistance gene. The survey identified a loss of effectiveness of Rps genes 1b, 1k, 3b, and 6, compared with a previous survey conducted in Michigan from 1993 to 1997. Three effective resistance genes were identified for P. sojae management in Michigan; Rps 3a, 3c, and 4. Additionally, the effective concentration of common seed treatment fungicides to inhibit mycelial growth by 50% (EC50) was determined. No P. sojae isolates were insensitive to the tested chemistries with mean EC50 values of 2.60 × 10-2 µg/ml for ethaboxam, 3.03 × 10-2 µg/ml for mefenoxam, 2.88 × 10-4 µg/ml for oxathiapiprolin, and 5.08 × 10-2 µg/ml for pyraclostrobin. Results suggest that while there has been a significant shift in Rps gene effectiveness, seed treatments are still effective for early season management of this disease.

Integration of Row Spacing, Seeding Rates, and Fungicide Applications for Control of Sclerotinia Stem Rot in Glycine max.

Soybean (Glycine max) farmers in the Upper Midwest region of the United States often experience severe yield losses due to Sclerotinia stem rot (SSR). Previous studies have revealed benefits of individual management practices for SSR. This study examined the integration of multiple control practices on the development of SSR, yield, and the economic implications of these practices. Combinations of row spacings, seeding rates, and fungicide applications were examined in multisite field trials across the Upper Midwest from 2017 to 2019. These trials revealed that wide row spacing and low seeding rates individually reduced SSR levels but also reduced yields. Yields were similar across the three highest seeding rates examined. However, site-years where SSR developed showed the highest partial profits at the intermediate seeding rates. This finding indicates that partial profits in diseased fields were reduced by high seeding rates, but this trend was not observed when SSR did not develop. Fungicides strongly reduced the development of SSR while also increasing yields. However, there was a reduction in partial profits due to their use at a low soybean sale price, but at higher sale prices fungicide use was similar to not treating. Additionally, the production of new inoculum was predicted from disease incidence, serving as an indicator of increased risk for SSR development in future years. Overall, this study suggests using wide rows and low seeding rates in fields with a history of SSR while reserving narrow rows and higher seeding rates for fields without a history of SSR.

Reduction of Pythium Damping-Off in Soybean by Biocontrol Seed Treatment.

Pythium spp. is one of the major groups of pathogens that cause seedling diseases on soybean, leading to both preemergence and postemergence damping-off and root rot. More than 100 species have been identified within this genus, with Pythium irregulare, P. sylvaticum, P. ultimum var ultimum, and P. torulosum being particularly important for soybean production given their aggressiveness, prevalence, and abundance in production fields. This study investigated the antagonistic activity of potential biological control agents (BCAs) native to the U.S. Midwest against Pythium spp. First, in vitro screening identified BCAs that inhibit P. ultimum var. ultimum growth. Scanning electron microscopy demonstrated evidence of mycoparasitism of all potential biocontrol isolates against P. ultimum var. ultimum and P. torulosum, with the formation of appressorium-like structures, short hyphal branches around host hyphae, hook-shaped structures, coiling, and parallel growth of the mycoparasite along the host hyphae. Based on these promising results, selected BCAs were tested under field conditions against six different Pythium spp. Trichoderma afroharzianum 26 used alone and a mix of T. hamatum 16 + T. afroharzianum 19 used as seed treatments protected soybean seedlings from Pythium spp. infection, as BCA-treated plots had on average 15 to 20% greater plant stand and vigor than control plots. Our results also indicate that some of these potential BCAs could be added with a fungicide seed treatment with minimum inhibition occurring, depending on the fungicide active ingredient. This research highlights the need to develop tools incorporating biological control as a facet of soybean seedling disease management programs. The harnessing of native BCAs could be integrated with other management strategies to provide efficient control of seedling diseases.

Molecular mapping of quantitative disease resistance loci for soybean partial resistance to Phytophthora sansomeana.

KEY MESSAGE: Two soybean QDRL were identified with additive interaction to P. sansomeana isolate MPS17-22. Further analyses uncovered four interaction patterns between the two QDRL and seven additional P. sansomeana isolates. Phytophthora sansomeana is a recently recognized species that contributes to root rot in soybean. Previous studies indicated that P. sansomeana is widely distributed among soybean growing regions and has a much wider host range than P. sojae, a well-known pathogen of soybean. Unlike P. sojae, no known disease resistance genes have been documented that can effectively control P. sansomeana. Therefore, it is important to identify resistance that can be quickly integrated into future soybean varieties. E13901 is an improved soybean line that confers partial resistance to P. sansomeana. A mapping population of 228 F4:5 families was developed from a cross between E13901 and a susceptible improved soybean variety E13390. Using a composite interval mapping method, two quantitative disease resistance loci (QDRL) were identified on Chromosomes 5 (designated qPsan5.1) and 16 (designated qPsan16.1), respectively. qPsan5.1 was mapped at 54.71 cM between Gm05_32565157_T_C and Gm05_32327497_T_C. qPsan5.1 was contributed by E13390 and explained about 6% of the disease resistance variation. qPsan16.1 was located at 39.01 cM between Gm16_35700223_G_T and Gm16_35933600/ Gm16_35816475. qPsan16.1 was from E13901 and could explain 5.5% of partial disease resistance. Further analysis indicated an additive interaction of qPsan5.1 and qPsan16.1 against P. sansomeana isolate MPS17-22. Marker assisted resistance spectrum analysis and progeny tests verified the two QDRL and their interaction patterns with other P. sansomeana isolates. Both QDRL can be quickly integrated into soybean varieties using marker assisted selection.

Influence of Soybean Tissue and Oomicide Seed Treatments on Oomycete Isolation.

Soybean seedlings are vulnerable to different oomycete pathogens. Seed treatments containing the two antioomycete (oomicide) chemicals, metalaxyl-M (mefenoxam) and ethaboxam, are used for protection against oomycete pathogens. This study aimed to evaluate the influence of these two oomicides on isolation probability of oomycetes from soybean taproot or lateral root sections. Soybean plants were collected between the first and third trifoliate growth stages from five Midwest field locations in 2016 and four of the same fields in 2017. Oomycetes were isolated from taproot and lateral root. In 2016, 369 isolation attempts were completed, resulting in 121 isolates from the taproot and 154 isolates from the lateral root. In 2017, 468 isolation attempts were completed, with 44 isolates from the taproot and 120 isolates from the lateral roots. In three of nine site-years, the probability of isolating an oomycete from a taproot or lateral root section was significantly different. Seed treatments containing a mixture of ethaboxam and metalaxyl significantly reduced the probability of oomycete isolation from lateral roots in Illinois in 2016 and 2017, but not in other locations, which may have been related to the heavy soil type (clay loam). Among the 439 isolates collected from the two years sampled, 24 oomycete species were identified, and community compositions differed depending on location and year. The five most abundant species were Pythium sylvaticum (28.9%), P. heterothallicum (14.3%), P. ultimum var. ultimum (11.8%), P. attrantheridium (7.9%), and P. irregulare (6.6%), which accounted for 61.7% of the isolates collected. Oomicide sensitivity to ethaboxam and mefenoxam was assessed for >300 isolates. There were large differences in ethaboxam sensitivity among oomycete species, with effective concentrations to reduce optical density at 600 nm by 50% compared with the nonamended control (EC50 values) ranging from <0.01 to >100 µg/ml and a median of 0.65 µg/ml. Isolates with insensitivity to ethaboxam (>12 µg/ml) belonged to the species P. torulosum and P. rostratifingens but were sensitive to mefenoxam. Oomicide sensitivity to mefenoxam ranged from <0.01 to 0.62 µg/ml with a median of 0.03 µg/ml. The mean EC50 value of the five most abundant species to ethaboxam ranged from 0.35 to 0.97 µg/ml of ethaboxam and from 0.02 to 0.04 µg/ml of mefenoxam. No shift in sensitivity to mefenoxam or ethaboxam was observed as a result of soybean seed treatment or year relative to the nontreated seed controls. In summary, this study contributed to the understanding of the composition of oomycete populations from different soybean root tissues, locations, years, and seed treatments. Finally, seed treatments containing mefenoxam or metalaxyl plus ethaboxam can be effective in reducing the probability of oomycete isolation from soybean roots.