{"title":"An Emerging Disease of Leaf Spot Caused by Paramyrothecium vignicola on Soybean in China.","authors":"Danhua Wang, Wenqi Wu, Canxing Duan, Zixiang Cheng, Zhendong Zhu, Suli Sun","doi":"10.5423/PPJ.OA.10.2025.0160","DOIUrl":"10.5423/PPJ.OA.10.2025.0160","url":null,"abstract":"<p><p>Soybean (Glycine max) is an important legume crop worldwide. An emerging leaf spot was observed in soybean plants with obvious black necrotic spot symptoms during the disease survey in Changping District, Beijing, China. To confirm the causal agent, the pathogen was isolated from the diseased leaves. Three isolates were obtained and showed a morphology extremely similar to Paramyrothecium vignicola. The isolates were identified by morphological and molecular characteristics. Phylogenetic analyses were performed using multiple gene regions (ITS, cmdA, rpb2, and tub2). The result indicated that the three isolates showed a high similarity (100%) with the known P. vignicola strains. Pathogenicity and host range tests of the isolates were performed on soybean and other legume crops. Three isolates were strongly pathogenic to soybean, hyacinth bean, common bean, faba bean, pea, mung bean, and lentil; moderate pathogenicity on adzuki bean; mild pathogenicity on cowpea and peanut. To screen resistant germplasms for disease control, the screening experiment of inoculum concentration of P. vignicola were performed. The result showed the most suitable concentration of P. vignicola isolate is 1 × 105 spores/mL for evaluation of germplasms resistance. Paramyrothecium species have been frequently identified to cause leaf spot and blight disease on a wide range of vegetables, ornamental plants, and economic crops. To our knowledge, this is the first report of P. vignicolaa inducing leaf spot on soybean worldwide. This study indicates P. vignicola might pose a potential risk to legume crops in the future.</p>","PeriodicalId":20173,"journal":{"name":"Plant Pathology Journal","volume":"42 3","pages":"364-377"},"PeriodicalIF":2.6,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13243906/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148199669","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Plant Pathology JournalPub Date : 2026-06-01Epub Date: 2026-04-15DOI: 10.5423/PPJ.OA.12.2025.0189
Young Min Ko, Donggye Lee, Min Seong Seok, Donah Mary Macoy, Youn-Sig Kwak
{"title":"Evaluation of Fungicide Resistance of the Brown Shot-hole Pathogens of Cherry Trees in Korea.","authors":"Young Min Ko, Donggye Lee, Min Seong Seok, Donah Mary Macoy, Youn-Sig Kwak","doi":"10.5423/PPJ.OA.12.2025.0189","DOIUrl":"10.5423/PPJ.OA.12.2025.0189","url":null,"abstract":"<p><p>Cherry trees (Prunus serrulata var. spontanea, Prunus × yedoensis), a widely cultivated ornamental street trees grown in Korea, are vulnerable to variety of diseases particularly the prevailing brown shot-hole disease, thus needs effective maintenance strategies for optimum plant growth and observation. The major fungal genera causing cherry brown shot-hole disease in Korea were identified as Alternaria, Diaporthe, Epicoccum, and Botryosphaeria, and their resistance to tebuconazole and difenoconazole was investigated. Both fungicides are classified as demethylation inhibitors and the emergence of resistant strains has been reported worldwide. In this study, we found significant differences in fungicide resistance depending on the type of pathogen and regional differences and performed base sequence analysis of the CYP51 gene on some Alternaria isolates with fungicide resistance to confirm the occurrence of point mutations and amino acid substitutions. However, point mutations were not detected in some resistant Alternaria isolates, suggesting that the resistance of some isolates is possibly unrelated to the alterations in the target site or may be due to genetic variations in unidentified genomic sequence CYP51 gene. These results will contribute to understanding the mechanism of antifungal resistance development in fungal plant pathogens and are expected to contribute to the control of brown shot hole disease in cherry trees.</p>","PeriodicalId":20173,"journal":{"name":"Plant Pathology Journal","volume":" ","pages":"273-286"},"PeriodicalIF":2.6,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13243902/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147691517","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Plant Pathology JournalPub Date : 2026-06-01Epub Date: 2026-04-24DOI: 10.5423/PPJ.ER.04.2025.0024
Jihyun Kim, Subin Lee, Min-Ki Seo, Dongmin Byun, Eunyoung Chae, Eunsook Park, Doil Choi
{"title":"Erratum: Effector-Triggered Immunity Is a Key Component of Nonhost Resistance in Nicotiana benthamiana against the Rice Blast Pathogen Magnaporthe oryzae.","authors":"Jihyun Kim, Subin Lee, Min-Ki Seo, Dongmin Byun, Eunyoung Chae, Eunsook Park, Doil Choi","doi":"10.5423/PPJ.ER.04.2025.0024","DOIUrl":"10.5423/PPJ.ER.04.2025.0024","url":null,"abstract":"","PeriodicalId":20173,"journal":{"name":"Plant Pathology Journal","volume":" ","pages":"378"},"PeriodicalIF":2.6,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13243900/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147778385","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Kay Tha Ye Soe Win, Navid Iqbal, Youngchul Yoo, Yundo Jang, Sang Won Lee
{"title":"NIT24 and NIT29-Dependent Auxin Biosynthesis Promotes Virulence and Auxin-SA Antagonism in Rice During Xanthomonas oryzae pv. oryzae Infection.","authors":"Kay Tha Ye Soe Win, Navid Iqbal, Youngchul Yoo, Yundo Jang, Sang Won Lee","doi":"10.5423/PPJ.OA.03.2026.0036","DOIUrl":"10.5423/PPJ.OA.03.2026.0036","url":null,"abstract":"<p><p>Auxin production by plant-associated bacteria is increasingly recognized as a determinant of host colonization, yet its integration into virulence networks remains incompletely understood. Nitrilase-dependent auxin (IAA) biosynthesis contributes to virulence in Xanthomonas oryzae pv. oryzicola (Xoc), but whether this mechanism operates in X. oryzae pv. oryzae (Xoo) has remained unclear. Here, we identify two conserved nitrilases, NIT24 and NIT29, in the Xoo strain PXO99A and examine their contributions to IAA production and virulence. Deletion of either gene reduces IAA accumulation, and under the tested conditions ΔNIT29 tended to show a stronger reduction, together with attenuated virulence characterized by shorter lesions and decreased in planta bacterial growth. Hormone profiling indicates a shift from auxin toward salicylic acid (SA)-associated responses in nitrilase-deficient infections, accompanied by reduced expression of auxin-responsive genes and enhanced activation of SA-related defense markers. In addition, nitrilase mutants display defects in biofilm formation, cellulase activity, and chemotactic motility, and exhibit altered expression of type III secretion system regulators, transcription activator-like effectors, and diffusible signal factor quorum-sensing components. Together, these findings support that nitrilase-mediated auxin biosynthesis contributes to multiple aspects of Xoo virulence and bacterial fitness and is associated with modulation of host hormone balance, suggesting a conserved role for auxin in X. oryzae pathosystems and its involvement in the interplay between bacterial physiology and host immune responses.</p>","PeriodicalId":20173,"journal":{"name":"Plant Pathology Journal","volume":"42 3","pages":"346-363"},"PeriodicalIF":2.6,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13243903/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148199736","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Plant Pathology JournalPub Date : 2026-06-01Epub Date: 2026-04-24DOI: 10.5423/PPJ.OA.02.2026.0014
Sohyeon An, Donghyuk Lee, Heung Tae Kim
{"title":"Interaction of Soil Type and Elevated Temperature Drives the Emergence of Macrophomina phaseolina in Soybean Fields.","authors":"Sohyeon An, Donghyuk Lee, Heung Tae Kim","doi":"10.5423/PPJ.OA.02.2026.0014","DOIUrl":"10.5423/PPJ.OA.02.2026.0014","url":null,"abstract":"<p><p>Charcoal rot (Macrophomina phaseolina) is an emerging threat to Korean soybean production under climate warming. This study examined how soil type and temperature influence the composition and dominance of soilborne pathogens. Blighted soybeans were collected from upland and paddy fields nationwide (2020-2022) and isolated at 25°C and 35°C. Isolation frequency was significantly affected by soil type, temperature, and their interaction. M. phaseolina predominated in upland soils but was rarely recovered from paddy fields. In contrast, Fusarium spp. associated with soybean blight, Diaporthe longicolla causing pod and stem blight, and Calonectria ilicicola causing red crown rot were frequently isolated but showed reduced recovery or pathogenicity at 35°C. Growth and pathogenicity assays revealed a temperature-driven shift in dominance: various pathogens were virulent at 25°C, while M. phaseolina showed enhanced growth and severity at 35°C. Greenhouse experiments demonstrated that moisture stress (reduced irrigation) significantly increased charcoal rot severity, strengthening the competitive advantage of M. phaseolina. These findings suggest that soil type and temperature interact to restructure pathogen communities. M. phaseolina is emerging primarily in upland systems where high temperature coincides with moisture stress, necessitating targeted management under climate change. While culture-based recovery reflects a pathogen's potential under specific thermal conditions, it may not directly represent actual field density.</p>","PeriodicalId":20173,"journal":{"name":"Plant Pathology Journal","volume":" ","pages":"312-321"},"PeriodicalIF":2.6,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13243901/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147778357","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Surakshya Ghimire, Rajan Lamsal, Anvesh Sankuratri, Pradeep Lakkarsu, Sairam Vutla
{"title":"Artificial Intelligence-Driven Plant Disease Detection and Diagnosis: A Comprehensive Review of Deep Learning Approaches, Multimodal Sensing Technologies, and Future Perspectives in Precision Agriculture.","authors":"Surakshya Ghimire, Rajan Lamsal, Anvesh Sankuratri, Pradeep Lakkarsu, Sairam Vutla","doi":"10.5423/PPJ.RW.01.2026.0004","DOIUrl":"10.5423/PPJ.RW.01.2026.0004","url":null,"abstract":"<p><p>Plant diseases remain a major threat to global food production, causing significant yield losses and economic impact worldwide. Early and precise disease detection is crucial for effective crop management, yet conventional diagnostic approaches are often slow, labor-intensive, and rely on specialized expertise that may not be widely accessible. Recent advances in artificial intelligence (AI), particularly deep learning-based image analysis, offer scalable and automated solutions for plant disease recognition. This review critically examines forty-one peer-reviewed studies published between 2008 and 2025, selected following PRISMA guidelines from major scientific databases. We summarize key methodological developments, including convolutional neural networks, vision transformers, transfer and few-shot learning, and multimodal sensing approaches, highlighting their reported performance and limitations. Although many models achieve high accuracy in controlled datasets, their effectiveness often decreases under real-field conditions due to environmental variability, limited training data, and practical deployment constraints. We discuss existing challenges and propose future research directions, emphasizing improved robustness in field environments, development of lightweight and explainable models suitable for edge deployment, and integration with precision agriculture systems. This review aims to guide the design of reliable, practical, and scalable AI-driven plant disease detection strategies.</p>","PeriodicalId":20173,"journal":{"name":"Plant Pathology Journal","volume":"42 2","pages":"121-137"},"PeriodicalIF":2.6,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13066816/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147645463","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Plant Pathology JournalPub Date : 2026-04-01Epub Date: 2026-03-04DOI: 10.5423/PPJ.OA.09.2025.0137
Gyeong-Seo Jo, Yeong-Hyeok Kwak, Min-Goo Park, Hae-Jun Park
{"title":"Radiation Disinfection Threshold of Botrytis cinerea Under X-ray and Gamma Irradiation.","authors":"Gyeong-Seo Jo, Yeong-Hyeok Kwak, Min-Goo Park, Hae-Jun Park","doi":"10.5423/PPJ.OA.09.2025.0137","DOIUrl":"10.5423/PPJ.OA.09.2025.0137","url":null,"abstract":"<p><p>Radiation-based disinfection is a validated approach for controlling microbes and plant pathogens in agriculture and the food chain. Botrytis cinerea, a major necrotrophic pathogen of many crops, is a pertinent target for such non-chemical treatments. Here, we compared the effectiveness of gamma and X-ray irradiation with an emphasis on dose rate as a process variable, and assessed survival/regrowth on potato dextrose agar and loss of pathogenicity on strawberry fruit. At a fixed total dose of 6 kGy, gamma irradiation showed a clear dose-rate dependence: 0.5 kGy h⁻¹ permitted regrowth within 28 days, 1.0 kGy h⁻¹ resulted in lagged regrowth beginning after day 14, whereas 2.0 kGy h⁻¹ yielded no regrowth during the observation period. X-ray treatment at 6 kGy (≈2.5 kGy h⁻¹) likewise resulted in no colony expansion for a period of up to 28 days. Culture negativity was concordant with loss of pathogenicity on strawberries, supporting culture negativity as a practical disinfection endpoint. Collectively, these results indicate that, under our conditions, the critical disinfection dose (D_crit) for B. cinerea is ≤6 kGy when delivered at ≥2.0 kGy h⁻¹ (gamma) or at approximately 2.5 kGy h⁻¹ (X-ray), and that dose rate materially modulates survival/repair dynamics at a given total dose. This study defines process windows for effective application of irradiation and supports the practical deployment of radiation disinfection for quarantine and postharvest management of B. cinerea.</p>","PeriodicalId":20173,"journal":{"name":"Plant Pathology Journal","volume":" ","pages":"138-145"},"PeriodicalIF":2.6,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13066819/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147348839","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jihye Choi, Dae Sung Kim, Chae Woo Lim, Sung Chul Lee
{"title":"Pepper G-type Lectin Receptor-like Kinase, CaRLK1, Modulates ABA-Mediated Stomatal Closure and Drought Tolerance.","authors":"Jihye Choi, Dae Sung Kim, Chae Woo Lim, Sung Chul Lee","doi":"10.5423/PPJ.NT.01.2026.0008","DOIUrl":"10.5423/PPJ.NT.01.2026.0008","url":null,"abstract":"<p><p>Lectin receptor-like kinases (LecRLKs) are plant-specific kinases that play critical roles in stress signaling. G-type LecRLKs, which possess an α-mannose-binding bulb lectin domain, are implicated in diverse stress responses; however, their roles in drought responses in pepper plants remain poorly understood. Therefore, this study aims to identify and functionally characterize a pepper G-type LecRLK, CaRLK1. CaRLK1 expression was significantly induced by multiple abiotic stresses, particularly dehydration. Additionally, functional analysis using virus-induced gene silencing revealed that CaRLK1-silenced pepper plants showed reduced drought tolerance and increased leaf water loss, associated with impaired stomatal closure and attenuated leaf temperature increases following abscisic acid (ABA) treatment. Moreover, CaRLK1 silencing reduced the expression of several drought-responsive genes, including CaOSR1, CaDREBLP1, and CaLOX1, under dehydration conditions. Collectively, these findings suggest that CaRLK1 functions as a positive regulator of drought stress responses in pepper plants by modulating ABA-dependent stomatal aperture dynamics and drought-responsive gene expression.</p>","PeriodicalId":20173,"journal":{"name":"Plant Pathology Journal","volume":"42 2","pages":"228-233"},"PeriodicalIF":2.6,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13066813/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147645986","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Plant Pathology JournalPub Date : 2026-04-01Epub Date: 2026-03-04DOI: 10.5423/PPJ.ER.02.2025.0154
Eseul Baek, Ho-Jong Ju, Jiwan Seo, Ju-Yeon Yoon
{"title":"Erratum: A Vibe Coding Workflow for AI-Assisted Analysis and Visualization of Genbank Records of Pepper Infecting Viruses.","authors":"Eseul Baek, Ho-Jong Ju, Jiwan Seo, Ju-Yeon Yoon","doi":"10.5423/PPJ.ER.02.2025.0154","DOIUrl":"10.5423/PPJ.ER.02.2025.0154","url":null,"abstract":"","PeriodicalId":20173,"journal":{"name":"Plant Pathology Journal","volume":" ","pages":"234-236"},"PeriodicalIF":2.6,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13066798/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147348734","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Plant Pathology JournalPub Date : 2026-04-01Epub Date: 2026-03-12DOI: 10.5423/PPJ.NT.10.2025.0142
Seo Yoon Yang, In-Jeong Kang, Ji-Min Kim, Sungtaeg Kang, Sungwoo Lee
{"title":"Genetic Dissection of Resistance to Pseudomonas amygdali pv. tabaci in Soybean [Glycine max (L.) Merr.] by Linkage Analysis.","authors":"Seo Yoon Yang, In-Jeong Kang, Ji-Min Kim, Sungtaeg Kang, Sungwoo Lee","doi":"10.5423/PPJ.NT.10.2025.0142","DOIUrl":"10.5423/PPJ.NT.10.2025.0142","url":null,"abstract":"<p><p>Wildfire, caused by Pseudomonas amygdali pv. tabaci (Pat), is a severe bacterial disease of soybean [Glycine max (L.) Merr.]. Enhancing resistance to wildfire is an important breeding goal, yet genetic studies remain limited. This study aimed to identify quantitative trait loci (QTL) associated with partial resistance to Pat using a Daepung × Taekwang recombinant inbred line (RIL) population. Sixty RILs were evaluated for resistance to the Pat isolate 'W14-M1'. Two QTL associated with resistance to Pat were identified on chromosomes 4 and 5, explaining 14.1% and 19.1% of the phenotypic variance, respectively. Daepung contributed the resistance alleles at both loci. The identified genomic regions overlapped with previously reported resistance QTL for bacterial, fungal, and nematode Pathogens. These findings indicate that Daepung is a valuable source of resistance to Pat, and the detected QTL may facilitate the development of molecular markers for pyramiding multiple disease resistance traits in soybean breeding program.</p>","PeriodicalId":20173,"journal":{"name":"Plant Pathology Journal","volume":"42 2","pages":"207-214"},"PeriodicalIF":2.6,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13066806/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147645996","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}