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PhytoFrontiers®

@phytofrontiers.bsky.social
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An interdisciplinary open-access journal publishing high-quality research covering basic to applied aspects of plant health. Published by The American Phytopathological Society.

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PhytoFrontiers® @phytofrontiers.bsky.social · 02/10/2026
C. Couture et al. developed a robust, sensitive, and inexpensive DNA-based detection system for mating-type identification in #Plasmopara viticola, the causal agent of grapevine downy mildew, one of the most damaging grapevine diseases worldwide: doi.org/10.1094/PHYTOFR-10-25-0120-…
FIGURE 1 Correspondence analysis (CA) of Plasmopara viticola strains based on the presence or absence of 76 structural variants found in the Plvit020 and Plvit030 scaffolds. Each point represents a strain with positioning reflecting similarity in structural variant profiles. The axes correspond to the first two CA dimensions, summarizing the main sources of variation in the dataset.
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PhytoFrontiers® @phytofrontiers.bsky.social · 28/09/2026
Can grapevine genome editing move beyond tissue culture? Hilal Betul Kaya et al. examine the biological and technical barriers to transformation in de novo meristems and propose strategies for improving efficiency: doi.org/10.1094/PHYTOFR-01-26-0001-…
FIGURE 3 Outcomes of attempted editing of the VvPDS1 gene and developmental regulator-mediated shoot regeneration by meristem transformation in grapevine. A and B, Partial whitening of shoots consistent with VvPDS1 disruption (0.6% of shoots); shoots deteriorated before molecular confirmation could be performed. C, A single gall formation that did not transition to shoots. D and E, Abnormal growth potentially associated with injection damage.
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PhytoFrontiers® @phytofrontiers.bsky.social · 25/09/2026
“Applying a Systems Approach to Validation and Proficiency Testing in Plant Virology to Meet ISO 17025 Accreditation Requirements,” by Annelien Roenhorst et al. Learn more: doi.org/10.1094/PHYTOFR-12-25-0139-P
FIGURE 1 Schematic representation of the building blocks of the systems approach to validation for workflows in plant virology. Left side lists diagnostic methods (not exhaustive) used in plant virology; right side indicates performance criteria considered for validation. ELISA, enzyme-linked immunosorbent assay; HTS, high-throughput sequencing; LAMP, loop-mediated isothermal amplification; RPA, recombinase polymerase amplification; PCR, polymerase chain reaction. Note that methods are listed alphabetically rather than by importance.
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PhytoFrontiers® @phytofrontiers.bsky.social · 23/09/2026
Review: Jun Zhang et al. examined the diversity and benefits associated with endophytic fungi in tea plants and other economically important crop systems, including wheat, maize, sugarcane, banana, tomato, and cotton: doi.org/10.1094/PHYTOFR-12-25-0145-…
FIGURE 1 Pesticides influence the microbial communities associated with plant hosts.
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PhytoFrontiers® @phytofrontiers.bsky.social · 18/09/2026
Review: Xinpeng Zhang et al. introduce key members of the genus Didymella that cause plant diseases, promote plant growth, impact human health, or offer therapeutic potential for human diseases. Learn more: doi.org/10.1094/PHYTOFR-10-25-0116-…
FIGURE 2 Diagram illustrating typical symptoms of plant diseases caused by strains of the genus Didymella.
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PhytoFrontiers® @phytofrontiers.bsky.social · 14/09/2026
Results from Mana Ohkura et al. show that growers can minimize #boxwood blight disease losses by growing plants further apart so that their canopies do not touch and by irrigating less frequently so that the foliage dries quickly: doi.org/10.1094/PHYTOFR-09-25-0104-…
FIGURE 1 Top, 3.8-liter container (industry 1-gal. size) boxwood plants placed 15 cm apart with canopies separated (left) or placed pot tight (0 cm apart) with plant canopies touching (right) at two nurseries specializing in boxwood production. Bottom, overview of experimental facilities with subplots consisting of 49 plants placed in a 7 × 7 grid (left). Plants within subplots were spaced 15 cm apart (middle) or 0 cm apart (right), and the center plant in each subplot was inoculated with Calonectria pseudonaviculata. Subplots were then irrigated 1, 2, or 3×/day (40 liters/day), and disease spread was monitored.
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PhytoFrontiers® @phytofrontiers.bsky.social · 11/09/2026
Biological control is a promising management strategy for #boxwood blight. Ping Kong, Claire Carter, and Chuanxue Hong found Bacillus subtilis 19FCG3-4 and Burkholderia sp. SSG consistently demonstrated superior performance under standardized conditions: doi.org/10.1094/PHYTOFR-09-25-0091-…
FIGURE 1 Suppression of Calonectria pseudonaviculata (Cps) by individual endophytic bacterial isolates in dual culture assays.
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PhytoFrontiers® @phytofrontiers.bsky.social · 09/09/2026
Olanike Omolehin et al. identified Wilt-Pruf and TransFilm as the two most promising anti-desiccants for #boxwood blight management, with significant potential savings in labor cost: doi.org/10.1094/PHYTOFR-10-25-0112-…
FIGURE 2 Phytotoxicity symptoms on “American” and ‘Vardar Valley’ boxwood treated with Vapor Gard monthly and every 2 months when compared with plants treated with Concert II every 3 weeks. Photos taken on 22 and 23 September 2022.
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PhytoFrontiers® @phytofrontiers.bsky.social · 04/09/2026
Although more work is needed to determine the best fungicide regimes in #boxwood, experiments conducted by Gabriel Sacher and Jay W. Pscheidt suggest that high-volume triazole fungicide applications can be a useful tool in managing boxwood blight: doi.org/10.1094/PHYTOFR-09-25-0101-…
FIGURE 1 Trials 1 and 2, drench treatments with triazole fungicides. Mean area under the disease progress curve on a per-leaf basis (AUDPCL) from a time series of disease assessments of detached leaves collected from containerized Buxus ‘Winter Gem’ plants treated with one of five triazole fungicides or a no-fungicide water control and challenged with Calonectria pseudonaviculata (CPS) 010 spore suspension. Error bars represent one standard error.
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PhytoFrontiers® @phytofrontiers.bsky.social · 31/08/2026
Thorough coverage of #boxwood canopies with foliar sprays can be difficult due to dense foliage with tight growth habit. B. W. Warneke et al. advise growers to use high-volume solutions when spraying foliar fungicides for boxwood blight management: doi.org/10.1094/PHYTOFR-09-25-0105-…
FIGURE 2 Sprayers used in the spray coverage experiments. Clockwise from top left: The airblast/intelligent sprayer used in all three studies, the cannon sprayer used at nursery B, the air-assisted boom sprayer used at nursery B, and the high-clearance boom sprayer used at nursery A.
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PhytoFrontiers® @phytofrontiers.bsky.social · 28/08/2026
Results from Chuanxue Hong confirmed that pruning shears can efficiently spread the #boxwood blight pathogen between plants. The study also identified and defined three major factors affecting plant-to-plant dispersal via pruners: doi.org/10.1094/PHYTOFR-09-25-0098-…
FIGURE 1 Inoculum plants loaded with whitish conidia masses on the underside of affected leaves after 8 h of air drying A, without and B, with deionized water misting, and leaf debris left on the pruner blade surface after six cuts on an inoculum plant with C, dry and D, wetted foliage.
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PhytoFrontiers® @phytofrontiers.bsky.social · 26/08/2026
John T. Dobbs et al. generated the first in planta transcriptomic dataset for #Calonectria henricotiae, elucidating genetic factors that may contribute to the aggressiveness of the European #boxwood blight pathogen: doi.org/10.1094/PHYTOFR-04-26-0044-…
FIGURE 4 Venn diagram and UpSet plot comparisons of orthologous genes among significantly upregulated in planta (UIP) genes from Calonectria henricotiae (Che) and C. pseudonaviculata (Cps)
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PhytoFrontiers® @phytofrontiers.bsky.social · 21/08/2026
#Calonectria pseudonaviculata populations in Oregon may be uniquely adapted to their environment. Christine L. Stone et al. identified 5 novel genotypes of C. pseudonaviculata and found that most isolates grew best at 5°C cooler than previously reported: doi.org/10.1094/PHYTOFR-09-25-0107-…
FIGURE 1 Minimum spanning network showing the genetic relationship among 9 simple sequence repeat-multilocus genotypes of 123 isolates of Calonectria pseudonaviculata collected from nine nurseries and a greenery operation in Oregon, U.S.A., between 2020 and 2022. Each nursery is indicated with a different color. The size of each circle is proportional to the number (n) of isolates in each simple sequence repeat-multilocus genotype. G25 to G29 represent new multilocus genotypes identified in this study.
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PhytoFrontiers® @phytofrontiers.bsky.social · 17/08/2026
How much value can plant health research generate? Charles R. Hall et al. estimate that Boxwood Blight Insight Group innovations could deliver $1.6 to $2.1 billion in aggregate benefits over 10 years: doi.org/10.1094/PHYTOFR-08-25-0083-… #Boxwood #BBIG
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PhytoFrontiers® @phytofrontiers.bsky.social · 15/08/2026
PhytoFrontiers Vol. 6, No. 3 features the focus section “Reclaiming Boxwood from the Blight,” led by Guest Editors Chuanxue Hong, Margery Daughtrey, Douglas Luster, and Jill Calabro and with nine contributions from #Boxwood Blight Insight Group: doi.org/10.1094/PHYTOFR-07-26-0079-…
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PhytoFrontiers® @phytofrontiers.bsky.social · 29/07/2026
Aaron J. Onufrak et al. conducted a growth chamber experiment in which field soils that differed in microbial diversity were inoculated with two genetically distinct #Sphaerulina musiva isolates to explore the role of S. musiva in belowground habitats: doi.org/10.1094/PHYTOFR-07-25-0065-R
FIGURE 1
Schematic representation of Sphaerulina musiva’s life cycle.
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PhytoFrontiers® @phytofrontiers.bsky.social · 24/07/2026
“Successful Propagation of Single-Pair Nematode Cultures on Pluronic-Enhanced Carrot Discs,” by Amandeep Kaur and Amanda M. V. Brown. Read now: doi.org/10.1094/PHYTOFR-08-25-0082-…
FIGURE 1
Workflow for extracting nematode populations from carrot disc cultures.
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PhytoFrontiers® @phytofrontiers.bsky.social · 22/07/2026
In recent years, tomato spotted wilt of peanut incidence has become substantial. Results from a multiyear trial by K. L. Bowen et al. highlights that cultivar resistance remains the best management strategy for tomato spotted wilt. Learn more: doi.org/10.1094/PHYTOFR-09-25-0090-R
FIGURE 1
Proportion of peanut rows (12.2 m) showing symptoms of tomato spotted wilt, A, averaged for each year and B, averaged for each cultivar. Four replications are included in averages. Letters above bars, when different, indicate significant differences (P ≤ 0.05) between values. Cultivars: GA06, Georgia-06G; GA09, Georgia-09B; GA12, Georgia-12Y; GA14, Georgia-14N; TifNV, TifNV-High O/L.
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PhytoFrontiers® @phytofrontiers.bsky.social · 17/07/2026
#Gaultheria procumbens essential oil (GEO) is a natural source of defense inducers. Olivier André et al. performed transcriptomic and metabolomic analyses of GEO-treated #Arabidopsis thaliana plants: doi.org/10.1094/PHYTOFR-10-25-0115-R
FIGURE 3
Methyl salicylate (MeSA), free salicylic acid (SA), and total SA quantification in sid2 Arabidopsis line upon Gaultheria essential oil (GEO) treatment. Quantification was performed 30 min and 48 h after the treatment (GEO, 0.1% vol/vol), as indicated. FW, fresh weight.
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PhytoFrontiers® @phytofrontiers.bsky.social · 15/07/2026
#Sclerotinia sclerotiorum causes substantial economic damage in the U.S. and globally. William Underwood evaluated growth and development traits for a collection of 227 S. sclerotiorum isolates from 26 different host plants across 27 U.S. states: doi.org/10.1094/PHYTOFR-08-25-0084-R
FIGURE 2
Representative images of potato dextrose agar (PDA) plates illustrating variation among 227 Sclerotinia sclerotiorum isolates for four phenotypes.
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PhytoFrontiers® @phytofrontiers.bsky.social · 10/07/2026
S. N. Yurgel, R. McGee, and L. D. Porter applied ITS rRNA amplicon sequencing to evaluate mycobiomes associated with the soil, roots, and nodules of four winter pea cultivars to identify putative pathogens in winter pea production systems in Washington: doi.org/10.1094/PHYTOFR-01-25-0002-R
FIGURE 5
Correlation-based network analysis showing potential interactions between fungal genera. A, Soil; B, root; and C, nodule microbiome. D, Pathogenic and AMF taxa in root. AMF, arbuscular mycorrhizal fungi; PPP, putative plant pathogen. The lines connecting nodes (edges) represent positive (red) or negative (blue) co-occurrence relationships. The intensity of the color and the length of the edges reflect the strength of correlation. The size of the node is proportional to a taxon's average relative abundance across all the samples in the specific niche. The network was built based on ITS2 short-read sequencing of soil, root, and nodule mycobiomes associated with Pisum sativum L. USDA MiCa, USDA Klondike, USDA Dint, and Windham.
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PhytoFrontiers® @phytofrontiers.bsky.social · 08/07/2026
#Pseudomonas syringae pv. aptata threatens the sugar beet industry worldwide. Anja Milosavljević et al. isolated a suitable biocontrol agent from the sugar beet phyllosphere, identifying the highly effective strain BK17—identified as #Bacillus velezensis: doi.org/10.1094/PHYTOFR-11-25-0126-R
FIGURE 4
Principal component analysis of the efficacy of indigenous strain BK17, copper hydroxide, and copper hydroxide + BK17 mixture against six Pseudomonas syringae pv. aptata strains based on combined data from the pot and field experiment assays. Principal component analysis revealed that Bacillus velezensis BK17 and the copper treatments exhibited similar efficacy. FE, field experiment; PC, principal component; PE, pot experiment.
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PhytoFrontiers® @phytofrontiers.bsky.social · 03/07/2026
To explore the effect of foliar fungicides on the incidence of soybean seed infection by the pathogens #Diaporthe spp. and #Cercospora spp. in Arkansas. S. R. Segalin et al. compared 3 fungicides with an untreated control at 2 locations in 2018 and 2019: doi.org/10.1094/PHYTOFR-08-25-0081-R
FIGURE 1
Soybean seed on potato dextrose agar infected by A, Diaporthe spp. (white, fast-growing, appressed mycelium) or B, Cercospora spp. (purple staining of the seed coat, slow-growing gray to purple mycelium).
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PhytoFrontiers® @phytofrontiers.bsky.social · 30/06/2026
#Cercospora beticola significantly impacts #sugarbeet crop productivity. Austin K. Lien and Ashok K. Chanda developed and validated a high-throughput microplate-based assay to determine DMI fungicide sensitivity in C. beticola using optical density measurements: bit.ly/4fjlcyc
FIGURE 1
The procedure for evaluating fungicide sensitivity is divided into four main steps: (i) Technical-grade fungicide dilutions: preparing a series of dilutions for the fungicide to establish a range of concentrations. (ii) Preparation of mycelial suspensions: creating uniform mycelial suspensions to ensure consistent inoculation. (iii) Inoculation of microplates: introducing the mycelial suspensions into microplates containing the fungicide dilutions. (iv) Absorbance reading and EC50 estimation: measuring absorbance to assess fungal growth and calculating the EC50 value to determine the effective concentration at which the fungicide inhibits 50% of the fungal growth. Figure created using BioRender.com.
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PhytoFrontiers® @phytofrontiers.bsky.social · 25/06/2026
Resource Announcement: “Mitochondrial Genome Resource for the Highly Aflatoxigenic Aspergillus flavus Isolate AF13,” by Santiago Emil A. Joson, IV et al. Learn more: doi.org/10.1094/PHYTOFR-12-25-0138-A #Aspergillus
FIGURE 1
A mitogenomic map of Aspergillus flavus AF13. The outer track is a physical map of the genes in the mitogenome color-coded by gene functional annotations. The inner track in gray shows variations in GC content throughout the mitogenome.
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PhytoFrontiers® @phytofrontiers.bsky.social · 22/06/2026
Katie N. Horton et al. used an isolate of #Xanthomonas hortorum pv. vitians for the study of Asteraceae immune responses. Learn more: doi.org/10.1094/PHYTOFR-10-25-0114-R
FIGURE 3
Lettuce cultivar Ninja does not recognize the XopO N terminus, whereas Kordaat does. JSKH1901 expressing the empty vector pHM1 (EV), the full-length XopO effector (FL), or XopONTGA with an early stop codon after amino acid position 123 (N) was infiltrated into Ninja (left) and Kordaat (right) at OD600nm 0.01. The presence of a hypersensitive response indicates effector recognition. Pictures were taken 3 days postinfiltration.
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PhytoFrontiers® @phytofrontiers.bsky.social · 18/06/2026
Resource Announcement: “Draft Genome Sequence of Botrytis fabiopsis, a Causal Agent of Chocolate Spot on Broad Bean (Vicia faba) Newly Recorded in Japan,” by Akira Ashida, Toshiharu Ishikawa, and Daigo Takemoto. Learn more: doi.org/10.1094/PHYTOFR-10-25-0121-A #Botrytis
FIGURE 1
Disease symptoms caused by Botrytis fabiopsis on broad bean. A, Chocolate spot disease of broad bean (Vicia faba) resulting from natural infection with B. fabiopsis. B and C, Colonies of B. fabiopsis strain VfpI5 isolated from broad bean grown on potato dextrose agar (PDA) at 23°C. D, Disease symptoms on broad bean leaves inoculated with B. fabiopsis strain VfpI5 and incubated at 23°C for 3 days. E, Sclerotia produced by B. fabiopsis strain VfpI5 grown on PDA at 23°C for 2 weeks. Bar = 1 mm.
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PhytoFrontiers® @phytofrontiers.bsky.social · 15/06/2026
Edgar H. Nieto-Lopez, Shrishail S. Navi, and Daren S. Mueller compared different culture media and different spawn substrata to increase inoculum of #Cercospora sojina and #Septoria glycines: doi.org/10.1094/PHYTOFR-07-25-0069-R
IGURE 1
Pairwise comparisons of grain spawn colonization by Cercospora sojina and Septoria glycines under a 12-h dark/12-h light regime at 25°C using the suspension (susp) inoculation method. Treatments represent combinations of pathogen × substrate × inoculation method and were compared using Dunn's test with Bonferroni correction. The plug inoculation method was excluded from the analysis to reduce multiple comparisons, as colonization levels were consistently lower. A, 14 days after inoculation (DAI); B, 28 DAI. *P < 0.05; **P < 0.01; ***P < 0.001; ****P < 0.0001; ns, not significant. Treatment labels: C. sojina_sor_susp (sorghum), C. sojina_mil_susp (proso millet), C. sojina_rice_susp (rice); S. glycines_sor_susp (sorghum), S. glycines_mil_susp (proso millet), and S. glycines_rice_susp (rice).
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PhytoFrontiers® @phytofrontiers.bsky.social · 12/06/2026
Resource Announcement: “Genome Resource of Representative Isolates of Fusarium solani and Fusarium falciforme Pathogenic on Soybean,” by Arpan Parajuli and Jeffrey J. Coleman. Learn more: doi.org/10.1094/PHYTOFR-10-25-0113-A 🫛
doi.org
Genome Resource of Representative Isolates of Fusarium solani and Fusarium falciforme Pathogenic on Soybean | PhytoFrontiers™
Soybean (Glycine max) is highly susceptible to diseases caused by members of the Fusarium solani species complex (FSSC), a genetically diverse lineage of fungi responsible for foot rot, crown rot, and damping-off. To understand the molecular basis of pa...
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PhytoFrontiers® @phytofrontiers.bsky.social · 10/06/2026
Findings from Muhammad Azmat Ullah Khan et al. suggest that the use of infectious RNA transcripts in combination with mechanical inoculation is a potential tool for studying potato–potato mop-top virus interactions at the omics level: doi.org/10.1094/PHYTOFR-07-25-0067-…
FIGURE 1
Schematic view of a potato plant showing the locations where inoculation was performed and the corresponding leaves collected for testing. (This figure was adapted from Vecteezy.com under free license.)
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PhytoFrontiers® @phytofrontiers.bsky.social · 05/06/2026
Resource Announcement: “Complete Reference Genome Resource Announcement: De Novo Genome Assembly and Functional Annotation for the Plant Pathogen Fusarium cerealis,” by Maxwell O. Chibuogwu et al. Learn more: doi.org/10.1094/PHYTOFR-09-25-0103-A
FIGURE 1
The left panel shows genome alignment between the current study's genome, Fus_cer_56_polished_assembly_consensus (top axis), and the previous draft assembly reference genome of Fusarium cerealis strain S18/34 (GCA_019055205.1) (right axis). The right panel shows the summary of identity between both isolates with coloration of alignment corresponsding to the percent sequence identity. Alignment and figure were generated using D-GENIES (Cabanettes and Klopp 2018).
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PhytoFrontiers® @phytofrontiers.bsky.social · 03/06/2026
To better understand the diverse biology of #Radopholus similis, C. L. Wram et al. sequenced and compared the genomes of 18 populations from 5 continents: doi.org/10.1094/PHYTOFR-08-25-0072-R
FIGURE 1
Map of Radopholus similis populations collected and analyzed in this study. R. similis was collected from banana (10 populations, yellow), plantain (5 populations, brown), citrus (1 population, orange), and anthurium (2 populations, red). Populations are colored based on their collection host.
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PhytoFrontiers® @phytofrontiers.bsky.social · 29/05/2026
Resource Announcement: “Draft Genome Sequence Resource of the Citrus Greasy Spot Fungal Pathogen Zasmidium citri-griseum Isolate MCC3,” by Daniela E. Cárdenas et al. Learn more: doi.org/10.1094/PHYTOFR-06-25-0058-A
FIGURE 1
Histogram showing the distribution of Clusters of Orthologous Groups (COG) categories in the proteome of Zasmidium citri-griseum. Functional classification is based on eggNOG v.5.0. The x axis of the histogram shows the frequency of proteins, and the y axis lists the identified COG functional categories. These annotations provide insight into the biological functions of the proteome of Z. citri-griseum and support downstream comparative analyses.
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PhytoFrontiers® @phytofrontiers.bsky.social · 26/05/2026
Nabin K. Dangal and more than 25 collaborators from land grant universities, industry, and government agencies conducted a network meta-analysis to assess the efficacy of fungicides in reducing disease and protecting yield in corn. Learn more: doi.org/10.1094/PHYTOFR-08-25-0079-R
FIGURE 9
Expected net benefit surfaces for each fungicide across shared ranges of revenue potential per hectare and nontreated disease severity (
X
n
t
). Purple areas represent combinations of revenue potential and disease severity associated with negative expected net benefit per hectare, whereas orange areas represent positive expected net benefit. Dashed lines represent the “breakeven” frontier for each fungicide. The surfaces depicted assume the fungicide-specific treatment costs in Table 10.
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PhytoFrontiers® @phytofrontiers.bsky.social · 23/05/2026
“Large-Scale Bioinformatical Analysis of Host Factors Commonly Induced by Phytophthora Infection,” by Claude Simo and Kay Hofmann. Learn more: doi.org/10.1094/PHYTOFR-08-25-0076-R
FIGURE 2
Network display of upregulated sequence clusters (USCs). Simplified version of the similarity network of USCs. The full network, including node labels and connection strengths, is available as Supplementary File S1, available from Figshare under the link https://figshare.com/ndownloader/files/49941600. The network shows the connected fraction of the upregulated gene list, including 930 out of 1,766 Arabidopsis thaliana genes (red dots), 906 out of 1,019 Glycine max genes (green dots), and 1,120 out of 1,451 Theobroma cacao genes (blue dots). The other upregulated genes are singletons and therefore not displayed. Lines represent significant BLAST hits, and line thickness scales with the log10 of BLAST significance, ranging from P = 0.01 (thinnest line) to P < 10−100 (thickest line).
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PhytoFrontiers® @phytofrontiers.bsky.social · 20/05/2026
Results from Yi Huang et al. show that NAD+ has significant effects on reducing powdery mildew severity and imply the potential role of the LecRLK gene family in disease resistance in squash: doi.org/10.1094/PHYTOFR-02-25-0012-R
FIGURE 1
Effect of NAD+ treatment on powdery mildew in squash.
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PhytoFrontiers® @phytofrontiers.bsky.social · 12/05/2026
In this exploratory sequential mixed-methods study, Lena Le, David Gent, and Jair Johnson examined Pacific Northwest hop growers’ perceptions of sustainable agriculture and potential motivations for and barriers to adoption: doi.org/10.1094/PHYTOFR-06-25-0059-R
FIGURE 1
How hop growers’ perceptions of sustainable agriculture match the USDA definition.
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PhytoFrontiers® @phytofrontiers.bsky.social · 08/05/2026
Sydney Houston et al. developed and validated internal transcribed spacer region next-generation sequencing and qPCR assays for detecting decay-disease infections in western redcedar seedlings with high sensitivity and specificity. Learn more: doi.org/10.1094/PHYTOFR-04-25-0042-R
FIGURE 1
Research steps toward development and validation of molecular tools for diagnosis of wood-decay fungi in western redcedar.
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PhytoFrontiers® @phytofrontiers.bsky.social · 06/05/2026
Samuel S. Liu et al. provide insights on numbers of lettuce and spinach downy mildew sporangia in different California agricultural production valleys that may be useful to improve disease management and the strategic timing of fungicide applications: doi.org/10.1094/PHYTOFR-04-25-0045-R
FIGURE 1
The estimated airborne sporangia numbers of Peronospora effusa and Bremia lactucae in the Salinas, Imperial, and Coachella valleys in 2021/2022. The sampling period was from 1 September 2021 to 30 March 2022. Sporangia numbers were estimated using equations 1 and 2. To provide more details, the y axes of P. effusa and B. lactucae were truncated. The cutoff estimated sporangia numbers are available in Supplementary Figures S2 to S5 and Figure 3. Scatterplots were generated in R v.4.2.1/RStudio. The smooth curves represent the local trends in estimated sporangia numbers. The blue solid line is for Salinas data, green long dashed line is for Imperial data, and red short dashed is line for Coachella data.
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PhytoFrontiers® @phytofrontiers.bsky.social · 01/05/2026
“Estimating the Potential for Soybean Seed Infection by Diaporthe spp. and Cercospora spp. at Physiological Maturity,” by J. C. Rupe et al. Learn more: doi.org/10.1094/PHYTOFR-05-25-0051-R 🫛
FIGURE 1
Soybean pods and seeds plated on potato dextrose agar: A, pods with Diaporthe spp.; B, soybean seeds infected with Diaporthe spp.; C, seeds infected with Cercospora spp. Pods were collected at physiological maturity from plants grown at the Vegetable Research Station, Kibler, AR, on 25 September 2015 and placed in a moist chamber for 3 days before assaying.
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PhytoFrontiers® @phytofrontiers.bsky.social · 29/04/2026
Kelly Schlarbaum et al. conducted a 3-year study to compare yield and yield components, fiber quality, root weight, and other morphological parameters of cotton leafroll dwarf virus-infected and noninfected plants grown under high heat conditions: doi.org/10.1094/PHYTOFR-06-25-0060-R
FIGURE 1
The average ± standard error of A, daily temperature and B, dew point for inside and outside the screenhouse. Numbers are averaged across all days and years. Means with the same letter are not significantly different (P ≤ 0.05, Tukey's least significant difference).
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PhytoFrontiers® @phytofrontiers.bsky.social · 24/04/2026
Sugarcane contributed $1.6 billion to Louisiana’s economy in 2024. Mary Beth Rollins et al. characterize bacterial contaminants in the state’s sugarcane meristem tissue culture labs and provide actionable recommendations to mitigate contamination: doi.org/10.1094/PHYTOFR-07-25-0064-R
FIGURE 1
A, Overnight cultures of Bacillus safensis isolates. B, Spreading the cultures onto Luria broth (LB) plates. C, Application of the sterile filter paper disks onto LB plates. D, Application of the antibiotics onto filter paper disks. Each disk received one type of antibiotic solution. E, Incubation of bacterial colonies at 25°C. F, Measuring inhibition zones after incubation.
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PhytoFrontiers® @phytofrontiers.bsky.social · 22/04/2026
Briana K. Whitaker designed and validated a novel peptide nucleic acid (PNA) targeting the ITS2 gene region in barley and wheat. This PNA will substantially improve the cost efficiency of fungal surveys in the two globally important small grain crops: doi.org/10.1094/PHYTOFR-07-25-0066-… 🌾
FIGURE 1
Consensus aligned internal transcribed spacer 2 (ITS2) gene region for four crops spanning the first 75 bp from the forward primer fITS7. Ta, Triticum aestivum; Hv, Hordeum vulgare; Zm, Zea mays; Gm, Glycine max.
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PhytoFrontiers® @phytofrontiers.bsky.social · 15/04/2026
Results from Gena Mahato et al. suggest that short-term, single-year cover crop rotations do not reduce the abundance of soilborne pathogens of winter wheat compared with fallow in the inland U.S. Pacific Northwest: doi.org/10.1094/PHYTOFR-01-25-0007-R
FIGURE 1
Timeline of major field activities during the cover crop and winter wheat growing season in 4 site-years.
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PhytoFrontiers® @phytofrontiers.bsky.social · 08/04/2026
“Differences in ‘Candidatus Phytoplasma pruni’ Gene Expression When Infecting Sweet Cherry Versus Leafhoppers,” by S. J. Harper et al. Learn more: bit.ly/4czEcqP
FIGURE 1
Differentially expressed ‘Candidatus Phytoplasma pruni’ genes upregulated (twofold log2, false discovery rate P ≥ 0.05) in Colladonus reductus leafhopper (white) and Prunus avium (black) sweet cherry tissues compared with non-differentially expressed genes (gray) that are involved in A, metabolic and biosynthetic processes; B, transport activity; C, replication, gene expression, and protein expression; or D, expressing structural, secreted, and hypothetical proteins.
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PhytoFrontiers® @phytofrontiers.bsky.social · 01/04/2026
Results from Carl A. Strausbaugh, Erik J. Wenninger, and Eric Vincill contribute substantively to the cataloging of #leafhopper taxa present in southern Idaho and will aid in developing vector and disease management decisions. Learn more: doi.org/10.1094/PHYTOFR-04-25-0043-R
FIGURE 5
Phylogenetic relationships for the leafhopper haplotypes in the Deltocephalinae tribes Chiasmini (Athysanella and Doratura spp.) and Pendarini (Chlorotettix and Paraphlepsius spp.) samples collected on yellow sticky cards in southern Idaho and compared with sequences from GenBank based on a 585-bp region of the cytochrome oxidase gene. Numbers on the nodes of the maximum-likelihood (ML) tree represent the statistical support for ML (1,000 replicates). The tree is drawn to scale, with the branch lengths measured in substitutions per site. The tree is rooted to Circulifer tenellus. GenBank accession numbers are followed by genus and species names when available (samples from this study are highlighted in yellow). The best substitution model was GTR + G + I.
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PhytoFrontiers® @phytofrontiers.bsky.social · 25/03/2026
Farmers in the north central U.S. face soybean yield loss from #Sclerotinia sclerotiorum. Models from a meta-analysis by Hope Renfroe-Becton et al. power an interactive app to compare fungicide program probabilities for net returns and profitability: doi.org/10.1094/PHYTOFR-07-25-0068-R
FIGURE 1
Map of locations where uniform trials were conducted to evaluate Sclerotinia stem rot (SSR) on soybean.
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PhytoFrontiers® @phytofrontiers.bsky.social · 18/03/2026
Potato late blight affects potato cultivation worldwide. Rosita S. Fratini et al. tested ONT amplicon sequencing as a quantitative method for detecting and monitoring #Phytophthora infestans in artificially inoculated potato plants: doi.org/10.1094/PHYTOFR-02-25-0011-R
FIGURE 1
Sample images of potato late blight progression based on leaf symptoms in the artificially inoculated cultivar Agata compared with healthy leaves. dpi, days postinfection.
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PhytoFrontiers® @phytofrontiers.bsky.social · 11/03/2026
“Antibiosis, Endophytic Colonization, and Efficacy of Trichoderma Against the Laurel Wilt Pathogen in Avocado,” by Sara Salcedo-Sarmiento et al. Learn more: doi.org/10.1094/PHYTOFR-04-25-0036-R 🥑
FIGURE 1
Inhibition of mycelial growth of Harringtonia lauricola (RL4) observed 20 days after inoculation. Potato dextrose agar plates were supplemented with 10% (vol/vol) of each Trichoderma filtrate and incubated in the dark at 25°C (Metabolite experiment I).
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PhytoFrontiers® @phytofrontiers.bsky.social · 06/03/2026
Seogchan Kang et al. review the materials, tools, and approaches employed to fabricate volatile organic compound sensor devices. Read the open access review in PhytoFrontiers: doi.org/10.1094/PHYTOFR-05-25-0053-…
FIGURE 2
Known and hypothesized roles of volatile organic compounds (VOCs). The double-headed arrows denote VOC-mediated organismal interactions. VOCs from individual organisms and those released from complex sources (e.g., greenhouse gases from the soil) affect diverse processes. Soils function as both sources and sinks of VOCs. PGPR, plant growth–promoting rhizobacteria. This illustration was reproduced from Bitas et al. (2013) (Bitas, V., et al., 2013, Sniffing on microbes: Diverse roles of microbial volatile organic compounds in plant health, Mol. Plant-Microbe Interact. 26:835-843) with permission from the American Phytopathological Society.
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