Seogchan Kang’s research while affiliated with Pennsylvania State University and other places

What is this page?


This page lists works of an author who doesn't have a ResearchGate profile or hasn't added the works to their profile yet. It is automatically generated from public (personal) data to further our legitimate goal of comprehensive and accurate scientific recordkeeping. If you are this author and want this page removed, please let us know.

Publications (178)


Phylogeny of nematode-trapping fungi. Phylogenic relationships were determined using concatenated nucleotide sequences of the single-copy orthologous genes present in all species. Dactylella cylindrospora, a non-NTF species, was used as the outgroup. Bootstrap values were 100% for each node. Gene-concordance factors (gCF) were calculated using IQ-TREE (noted on each node), with green indicating nodes greater than 60% gCF values and red indicating nodes less than 60%.
Extensive conflict between the gene trees and the species tree. (a) Densitree plot. Blue represents the gene trees, and red represents the consensus tree inferred by the Densitree software, which is consistent with the topology of the species tree. (b) A plot resulting from MDS analysis illustrates the topological differences between the gene trees (denoted by blue dots) and the species tree (denoted by the red pentagram). The axes (MDS1 and MDS2) represent dimensions in the reduced Euclidean space obtained from the Robinson-Foulds distance matrix calculated between all pairs of gene trees and the species tree. MDS1 and MDS2 have no intrinsic biological significance but are used to visualize the relative differences and conflicts in tree topologies in a low-dimensional space.
Origins of conflict between the gene trees and the species tree. (a) ILS analysis based on the MSC analysis. Specifically, each vertex represents a particular four-taxa tree topology, and the position of each point within the triangle is determined by the proportions of the three topologies among all gene trees for the four taxa. Blue circles represent four-taxa scenarios in which the topology can be explained solely by the ILS. Red triangles represent scenarios in which this hypothesis is rejected, indicating that the topology is explained by other factors. The closer the blue circles are to the center of the triangle, the stronger the influence of ILS. (b) Schematic representation of D-statistic results. The D-statistic was derived from the ABBA-BABA test, which detects introgression by comparing the counts of ABBA and BABA SNP patterns across the genome. For the lineages Arthrobotrys (P1), Dactylellina (P2), Drechslerella (P3), and an outgroup (O), ABBA sites are those where P2 and P3 share a derived allele while P1 and the outgroup have the ancestral allele, and BABA sites are where P1 and P3 share the derived allele while P2 and the outgroup have the ancestral allele. The results showed a non-significant D value, indicating no significant introgression events between P2 and P3, as well as between P1 and P3. (c) Reticulate phylogenetic tree inferred by Phylonet, with red indicating gene introgression sites. When the number of hybridization events was set to three, the tree inferred by PhyloNet matched the species tree and the fit was optimal. (d) Sankey diagram depicting suspected HGT events among NTF and the predicted sources of genes. The left column represents different NTF species, the middle column represents gene families (orthogroups), and the right column represents the predicted sources of genes, including different kingdoms and phyla. Each flow line indicates a possible path for gene transfer between species, with colors representing different species and gene families.
Divergence nodes and cumulative branch lengths for the three NTF genera. (a) Schematic representation of the topological structures of the three gene trees and their divergence branch lengths. The root node was labeled as node 1, and the second divergence node of the three lineages was labeled as node 2. The dashed red line represents the branch length scale of the divergence nodes in the species tree. Each evolutionary branch is colored to correspond with its genus name. The branch lengths shown are the average branch lengths of the gene trees supporting each topological structure, with statistical tests performed on the three groups of data. (b) Stacked bar chart showing the proportions of the three types of gene tree topologies inconsistent with the species tree. (c) Box plot of cumulative branch lengths for the four types of gene trees.
Functional enrichment analysis. Functional enrichment analysis of ILS genes that are linked to the divergence of the three NTF lineages and display signs of significant positive selection. The Gene Ontology (GO) terms enriched among those associated with the cell membrane system and polarity division are shown. The bar chart on the left shows GO terms, with the length of each bar representing the percentage of genes associated with that term. The numbers on the bars indicate the gene count and the P-value for each term. The dot plot on the right shows the enrichment analysis results, with the x-axis representing the RichFactor (the ratio of the number of genes in the term to the total number of annotated genes). The size of the dots corresponds to the number of genes, while the color indicates the significance (P-value) of the enrichment, with red indicating higher significance and blue indicating lower significance.
Characterization of genome-wide phylogenetic conflict uncovers evolutionary modes of carnivorous fungi
  • Article
  • Full-text available

August 2024

·

206 Reads

·

Yani Fan

·

·

[...]

·

Mass extinction has often paved the way for rapid evolutionary radiation, resulting in the emergence of diverse taxa within specific lineages. The emergence and diversification of carnivorous nematode-trapping fungi (NTF) in Ascomycota have been linked to the Permian-Triassic (PT) extinction, but the processes underlying NTF radiation remain unclear. We conducted phylogenomic analyses using 23 genomes that represent three NTF lineages, each employing distinct nematode traps—mechanical traps (Drechslerella spp.), three-dimensional (3D) adhesive traps (Arthrobotrys spp.), and two-dimensional (2D) adhesive traps (Dactylellina spp.), and the genome of one non-NTF species as the outgroup. These analyses revealed multiple mechanisms that likely contributed to the tempo of the NTF evolution and rapid radiation. The species tree of NTFs based on 2,944 single-copy orthologous genes suggested that Drechslerella emerged earlier than Arthrobotrys and Dactylellina. Extensive genome-wide phylogenetic discordance was observed, mainly due to incomplete lineage sorting (ILS) between lineages. Two modes of non-vertical evolution (introgression and horizontal gene transfer) also contributed to phylogenetic discordance. The ILS genes that are associated with hyphal growth and trap morphogenesis (e.g., those associated with the cell membrane system and polarized cell division) exhibited signs of positive selection. IMPORTANCE By conducting a comprehensive phylogenomic analysis of 23 genomes across three NTF lineages, the research reveals how diverse evolutionary mechanisms, including ILS and non-vertical evolution (introgression and horizontal gene transfer), contribute to the swift diversification of NTFs. These findings highlight the complex evolutionary dynamics that drive the rapid radiation of NTFs, providing valuable insights into the processes underlying their diversity and adaptation.

Download

Plant-Associated Volatile Organic Compound (VOC) Database (PVD): A Resource Supporting Research on VOCs Produced by Plants and Plant-Associated Microbes

August 2024

·

15 Reads

PhytoFrontiers™

Diverse volatile organic compounds (VOCs) perform functions crucial for plant growth and health. However, studies on the nature and mechanisms of action of bioactive VOCs, except those mediating plant-insect interactions, lag considerably behind those on waterborne compounds. We built the Plant-Associated VOC Database (PVD) to facilitate research on VOCs released by plants and plant-associated microbes. This platform presents the physicochemical characteristics, biosynthetic pathways, and known or hypothesized functions of VOCs. We present the design, utility, and planned expansion of PVD. [Formula: see text] Copyright © 2024 The Author(s). This is an open access article distributed under the CC BY-NC-ND 4.0 International license .


The infection cycle of soybean cyst nematode (SCN), SCN suppressiveness of the field soils used in this study, and how various soil treatments affected SCN suppressiveness. A SCN eggs in the cyst hatch to release infective second-stage juvenile (J2) when a host is available. The J2 migrate towards soybean roots, penetrate to reach the vascular cylinder, and stimulate cylinder cells to form the syncytium (S), a feeding site that supports J2 differentiation into an adult nematode. Lemon-shaped adult female protrudes through the root surface and becomes the cyst when the female dies. Mature cysts typically fall off into the surrounding soil and remain dormant until stimulated by root exudates. ED, PC, PM and XM denote endodermis, pericycle, phloem, and xylem, respectively. B Egg densities were measured after growing soybean plants for 56 days in field-treated soils inoculated with 1500 eggs per 100 g of dry soil. Different letters denote statistically significant differences according to the LSD test (p < 0.05). Suppressive (S) and conducive (C) soils collected from two provinces, transplantation soil (CS; created by mixing 10% S soil with 90% C soil), heat (80 °C)-treated S soil (S80), and S soil fumigated with formalin (SF) were used. C Identification of the likely sources of microbiota-suppressing SCN. Treatments of C, S and CS identical to those shown in B were included as references. The cyst and soybean rhizosphere treatments were conducted by replacing 10% S in the CS treatment with the following preparations derived from S soils: native cysts isolated from S field soils (C1-F), newly-formed cysts developed on soybean in S soils under greenhouse condition (C2-G) and suspension prepared from C2-G cysts (C3-G). For soybean rhizosphere, soybean seedling grown in S soil for 2 weeks and transplanted in C soil (Sb-G), rhizosphere soil prepared from soybean seedlings grown in S soils and then transfer to C soils (R1-G), and suspension prepared from of soybean rhizosphere and root in S soils and transferred to C soils (R2-G). D and E The number of J2s hatched after 100 cysts harvested from various soils were placed for 2 weeks in water. A solution of 0.05% ZnCl2 was used to stimulate egg hatching. The native cysts used were extracted from the field S and C soils. Fresh cysts referred to the cysts collected after growing soybean for 56 days in autoclaved soil. Newly formed cysts referred to the cysts collected after growing soybean in the soils of S, C, and CS treatments
Analyses of cyst-associated bacterial communities to identify candidate taxa for SCN suppressiveness. A Within-sample diversity (α-diversity) of bacteria associated with the cysts formed in the S, C, and CS soils and the S soil treated with heat (S80) or formalin (SF). The horizontal bar within each box indicates median value. The top and bottom of boxes denote the 75th and 25.th percentiles, respectively. Upper and lower whiskers extend 1.5 × the interquartile range from the upper and lower edges, respectively. All outliers are plotted as individual points. Different letters indicate statistically significant differences according to the LSD test (p < 0.05). B Numbers of unique and shared OTUs associated with cyst samples collected from the C, S and CS soils. C Linear regression relationship between cyst bacterial diversity and egg density (eggs/100 g of dry soil). The regression line is denoted by brown, and the shaded region indicates the confidence interval (geom_smooth function, method = lm). D Cluster analysis based on Bray–Curtis dissimilarity indicates the clear separation of bacterial communities inhabiting the cysts formed in the S and CS soils from those formed in the C, S80, and SF soils. OTUs with RA > 1‰ in at least one sample were included in the analysis. E Average RA of the most dominant taxa in the cysts formed in the S, C, CS, S80, and SF soils. Only taxa with RA > 1‰ in at least one sample were included in the analysis. Different letters above the bars indicate significant differences at the P < 0.05 level, according to the LSD test. F Linear regression relationship between four bacterial phyla associated with cysts and the egg density in the soil. The regression line is denoted by brown, and the shaded region corresponds to the confidence interval (geom_smooth function, method = lm)
Identification of candidate bacterial OTUs associated with SCN suppressiveness in two different locations. A Ternary plots show OTUs significantly enriched in the cysts formed in the S and CS soils compared to those formed in the C soils of BC and FL. The colour and size of the circle denote the samples in which individual OTUs are enriched and their relative abundance (RA), respectively. Golden (OTUs significantly enriched in those formed in S compared to C; S > C OTUs); Pink (OTUs significantly enriched in those formed in CS compared to C; CS > C OTUs); Green (OTUs enriched in those formed in both S and CS compared to C; S + CS > C OTUs); Grey (those that were not enriched in any samples). The position of each circle is determined by the contribution of the indicated compartments to the total RA. Only the OTUs with RA > 1‰ in at least one sample were included in the analysis. B Heatmaps showing RAs of the OTUs significantly enriched in the cysts formed in the S (golden circle), CS (pink circle) and both S and CS (green circle) soils. The OTUs highlighted were enriched in cysts formed in both the S and CS soils from Baicheng (BC) and Fulaerji (FL). C The RA of six OTUs enriched in cysts formed in S and CS compared to the other three treatments. Different letters above the bars indicate significant differences at the P < 0.05 level, according to the LSD test. D Linear regression relationship between the RA of Chitinophaga (OTU9 and OTU 18), Nocardiopsis (OTU20), Dyadobacter (OTU26), Ralstonia (OTU48), and Microbacterium (OTU55) and the egg density (eggs/100 g dry soil). The regression line is denoted by brown, and the shaded region represents the confidence interval (geom_smooth function, method = lm)
Analyses of how Chitinophaga and Dyadobacter isolates affect SCN individually and in combinations. A Cladogram showing the phylogenetic relationship among the cultured strains (identified using their 16S rRNA sequences). B Phylogenetic tree showing the relationship of OTU9, OTU18 and OTU26 with previously characterized Chitinophaga and Dyadobacter spp. Black and green denote those retrieved from GenBank and the isolates from this study, respectively. Two OTUs corresponding to Chitinophaga and one OTU corresponding to Dyadobacter (red) were included in this analysis. C The effect of Chitinophaga (C7, C18, C42, C54, CN, C1, C3) and Dyadobacter (D18, D18C, D27) isolates on the viability of SCN J2s (percentage of living J2s after coincubation). D The number of J2s hatched from 100 cysts 7 days after incubation with each isolate. Water was used as the control (CK). E The numbers of Chitinophaga (C54 and CN7) and Dyadobacter (D18C) cells per SCN female and cyst were quantified. The females and cysts collected after 8 weeks of soybean growth in autoclaved C soil infested with SCN eggs were used. F Egg densities were measured 56 days after growing soybean plants in the C soil amended with SCN eggs (1500/100 g of dry soil) and C54, CN7, D18C, C54-CN7, C54-D18C, CN7-D18C, and C54-CN7-D18C. Two independent assays were performed. The total number of inoculated bacterial cells was 10⁷ CFU/g of dry soil, regardless the number of isolates used. G After measuring egg densities as described in (F), two more cycles of soybean plant growth for 56 days in the same soils were performed without adding new bacterial cells. Egg density was measured after each cycle. Error bar denotes the standard error of the mean. Different letters indicate statistically significant differences between treatments as determined by one-way ANOVA with the LSD test (P < 0.05). H Colony morphology of Chitinophaga (C54 and CN7) and Dyadobacter (D18C) isolates on R2A medium. I Microscopic observation of eggs carrying J1 after incubating the cysts with Chitinophaga (C54 and CN7) and Dyadobacter (D18C) in autoclaved C soil. Water served as the control (CK). J Chitinase activity of Chitinophaga isolates C54 and CN7 in the presence of SCN eggs. K J2 with attached Dyadobacter isolate D18C. Scale bar = 5 µm. L Heatmap showing relative expression levels of selected soybean defence-related genes involved in the salicylic acid, jasmonic acid and ethylene signalling pathway. GmSAMT, salicylic acid methyltransferase; GmPR1, pathogenesis related-1; GmNPR1, non-expresser of pathogenesis related-1 gene; GmACS9b, 1-Aminocyclopropane-1-carboxylic acid synthase; GmCHIA1, chitinase class I; GmPR10, pathogenesis related-10; GmPAD4, phytoalexin deficient 4; GmPAL, phenylalanine ammonia lyase; GmWRKY31. The data were normalized using the reference gene GmActin
Conceptual model illustrating the mechanism of SCN suppression in suppressive soils. Two cyst-associated bacteria employ distinct mechanisms to suppress SCN. (1) Enrichment of Chitinophaga in cysts causes malformation of first-stage juveniles presumably due to their chitinases, significantly reducing viable J2s. (2) Enrichment of Dyadobacter in cysts leads to its attachment to the surface coat of hatching J2s, and such J2s induce resistance in soybean by increasing defence-related gene expression, thereby reducing plant infection
Redundancy in microbiota-mediated suppression of the soybean cyst nematode

July 2024

·

494 Reads

·

1 Citation

Background Soybean cyst nematodes (SCN) as animal parasites of plants are not usually interested in killing the host but are rather focused on completing their life cycle to increase population, resulting in substantial yield losses. Remarkably, some agricultural soils after long-term crop monoculture show a significant decline in SCN densities and suppress disease in a sustainable and viable manner. However, relatively little is known about the microbes and mechanisms operating against SCN in such disease-suppressive soils. Results Greenhouse experiments showed that suppressive soils (S) collected from two provinces of China and transplantation soils (CS, created by mixing 10% S with 90% conducive soils) suppressed SCN. However, SCN suppressiveness was partially lost or completely abolished when S soils were treated with heat (80 °C) and formalin. Bacterial community analysis revealed that the specific suppression in S and CS was mainly associated with the bacterial phylum Bacteroidetes, specifically due to the enrichment of Chitinophaga spp. and Dyadobacter sp., in the cysts. SCN cysts colonized by Chitinophaga spp. showed dramatically reduced egg hatching, with unrecognizable internal body organization of juveniles inside the eggshell due to chitinase activity. Whereas, Dyadobacter sp. cells attached to the surface coat of J2s increased soybean resistance against SCN by triggering the expression of defence-associated genes. The disease-suppressive potential of these bacteria was validated by inoculating them into conducive soil. The Dyadobacter strain alone or in combination with Chitinophaga strains significantly decreased egg densities after one growing cycle of soybeans. In contrast, Chitinophaga strains alone required more than one growing cycle to significantly reduce SCN egg hatching and population density. Conclusion This study revealed how soybean monoculture for decades induced microbiota homeostasis, leading to the formation of SCN-suppressive soil. The high relative abundance of antagonistic bacteria in the cyst suppressed the SCN population both directly and indirectly. Because uncontrolled proliferation will likely lead to quick demise due to host population collapse, obligate parasites like SCN may have evolved to modulate virulence/proliferation to balance these conflicting needs. BVs6NXuQzznnTv7j41Q5n6Video Abstract


Figure 5. Three ecological models for studying the interaction between Trichoderma spp. with aflatoxigenic A.f. 3357 and A.p. B62. A schematic representation of the effect of (A) physical interaction between Trichoderma and Aspergillus using a dual culture plate interaction assay, (B) Trichoderma volatiles on Aspergillus using a sandwich plate assay, and (C) Trichoderma non-volatile compounds or secreted metabolites on Aspergillus. Abbreviations: T-Trichoderma strain, A-Aspergillus strain, W-sterile DI water control, R-radius, d-diameter; orange circles-A.p. B62 growth, green circles-Trichoderma growth.
Growth inhibition and classification of the interaction type between Trichoderma and As- pergillus in the dual culture plate assay on PDA at 30 • C for 5 days.
Three Ecological Models to Evaluate the Effectiveness of Trichoderma spp. for Suppressing Aflatoxigenic Aspergillus flavus and Aspergillus parasiticus

July 2024

·

48 Reads

Toxins

Chemical pesticides help reduce crop loss during production and storage. However, the carbon footprints and ecological costs associated with this strategy are unsustainable. Here, we used three in vitro models to characterize how different Trichoderma species interact with two aflatoxin producers, Aspergillus flavus and Aspergillus parasiticus, to help develop a climate-resilient biological control strategy against aflatoxigenic Aspergillus species. The growth rate of Trichoderma species is a critical factor in suppressing aflatoxigenic strains via physical interactions. The dual plate assay suggests that Trichoderma mainly suppresses A. flavus via antibiosis, whereas the suppression of A. parasiticus occurs through mycoparasitism. Volatile organic compounds (VOCs) produced by Trichoderma inhibited the growth of A. parasiticus (34.6 ± 3.3%) and A. flavus (20.9 ± 1.6%). The VOCs released by T. asperellum BTU and T. harzianum OSK-34 were most effective in suppressing A. flavus growth. Metabolites secreted by T. asperellum OSK-38, T. asperellum BTU, T. virens OSK-13, and T. virens OSK-36 reduced the growth of both aflatoxigenic species. Overall, T. asperellum BTU was the most effective at suppressing the growth and aflatoxin B1 production of both species across all models. This work will guide efforts to screen for effective biological control agents to mitigate aflatoxin accumulation.


The Genomes of Nematode-Trapping Fungi Provide Insights into the Origin and Diversification of Fungal Carnivorism

March 2024

·

91 Reads

·

1 Citation

Nematode-trapping fungi (NTF), most of which belong to a monophyletic lineage in Ascomycota, cannibalize nematodes and other microscopic animals, raising questions regarding the types and mechanisms of genomic changes that enabled carnivorism and adaptation to the carbon-rich and nitrogen-poor environment created by the Permian-Triassic extinction event. Here, we conducted comparative genomic analyses of 21 NTF and 21 non-NTF to address these questions. Carnivorism-associated changes include expanded genes for nematode capture, infection, and consumption (e.g., adhesive proteins, CAP superfamily, eukaryotic aspartyl proteases, and serine-type peptidases). Although the link between secondary metabolite (SM) production and carnivorism remains unclear, we found that the numbers of SM gene clusters among NTF are significantly lower than those among non-NTF. Significantly expanded cellulose degradation gene families (GH5, GH7, AA9, and CBM1) and contracted genes for carbon-nitrogen hydrolases (enzymes that degrade organic nitrogen to ammonia) are likely associated with adaptation to the carbon-rich and nitrogen-poor environment. Through horizontal gene transfer events from bacteria, NTF acquired the Mur gene cluster (participating in synthesizing peptidoglycan of the bacterial cell wall) and Hyl (a virulence factor in animals). Disruption of MurE reduced NTF's ability to attract nematodes, supporting its role in carnivorism. This study provides new insights into how NTF evolved and diversified after the Permian-Triassic mass extinction event.


Characterization of Genome-wide Phylogenetic Conflict Uncovers Evolutionary Modes of Carnivorous Fungi

March 2024

·

95 Reads

Mass extinction has often paved the way for rapid evolutionary radiation, resulting in the emergence of diverse taxa within specific lineages. While the emergence and diversification of carnivorous nematode-trapping fungi (NTF) in Ascomycota has been linked to the Permian-Triassic (PT) extinction, the processes underlying NTF radiation remain unclear. Here, we conducted phylogenomic analyses using 23 genomes spanning three NTF lineages, each employing distinct nematode traps - mechanical traps (Drechslerella spp.), three-dimensional (3-D) adhesive traps (Arthrobotrys spp.), and two-dimensional (2-D) adhesive traps (Dactylellina spp.), and one non-NTF species as the outgroup. This analysis revealed how diverse mechanisms contributed to the tempo of NTF evolution and rapid radiation. The genome-scale species tree of NTFs suggested that Drechslerella emerged earlier than Arthrobotrys and Dactylellina. Extensive genome-wide phylogenetic discordance was observed, mainly due to incomplete lineage sorting (ILS) between lineages (~81.3%). Modes of non-vertical evolution (i.e., introgression and horizontal gene transfer) also contributed to phylogenetic discordance. The ILS genes that are associated with hyphal growth and trap morphogenesis (e.g., those associated with the cell membrane system and cellular polarity division) exhibited signs of positive selection.


FIGURE 1
FIGURE 2 Principal coordinate analysis (PCoA) plots showing the Bray-Curtis dissimilarity-based distribution pattern of rhizosphere soil samples for fungal and bacterial communities. Samples belong to CON (control treatment), T1 (pre-transplant treatment with T. virens), T2 (at-transplant treatment with T. virens), and T3 (post-transplant treatment with T. virens), and two tomato varieties (Bonny Best and Red Deuce) are depicted. Marker color and shape correspond to the Trichoderma treatment and tomato variety, respectively.
FIGURE 3
FIGURE 4
Trichoderma application methods differentially affect the tomato growth, rhizomicrobiome, and rhizosphere soil suppressiveness against Fusarium oxysporum

February 2024

·

107 Reads

·

1 Citation

Trichoderma spp. are widely used to enhance crop growth and suppress diverse diseases. However, inconsistent field efficacy remains a major barrier to their use as a reliable alternative to synthetic pesticides. Various strategies have been investigated to enhance the robustness of their application. Here, we evaluated how T. virens application methods (pre-, at-, and post-transplant) affect the growth of two tomato varieties and their rhizosphere fungal and bacterial communities. Although the greatest rhizosphere abundance of T. virens was observed in the post-transplant application, the at-transplant application promoted tomato growth the most, indicating that greater rhizosphere abundance does not necessarily result in better tomato growth. None of the application methods significantly altered the global rhizosphere fungal and bacterial communities of the tested varieties. Changes in specific microbial genera and guilds may underpin the enhanced tomato growth. We also investigated whether the resulting microbiome changes affect the mycelial growth and conidial germination of Fusarium oxysporum f. sp. lycopersici and F. oxysporum f. sp. radicis-lycopersici , soilborne fungal pathogens of tomato, upon exposure to volatile compounds emitted by culturable rhizosphere microbes and metabolites extracted from the rhizosphere soils after Trichoderma treatments. Volatile compounds produced by cultured rhizosphere microbes after the at-transplant application suppressed the mycelial growth of both pathogens better than those after the other treatments. Similarly, water-soluble metabolites extracted from the rhizosphere soil samples after the at-transplant application most effectively suppressed the germination rate of F. oxysporum spores. Overall, our results suggest that the at-transplant application is most advantageous for promoting the growth of the tested tomato varieties and building soil suppressiveness against the tested fusaria. However, further studies are needed before applying this method to support tomato production. We discuss critical future questions.



Overexpression of an NLP protein family member increases virulence of Verticillium dahliae

January 2024

·

47 Reads

·

1 Citation

Plant Pathology

Verticillium dahliae is a xylem‐invading fungal pathogen that causes vascular wilt in a wide range of angiosperms. The pathogen uses a variety of virulence factors to invade and colonize its hosts. Here, we report that VdNEP, an NLP (Necrosis and ethylene inducing peptide 1‐Like Protein), functions as one such factor in multiple hosts. Eggplant leaves treated with VdNEP developed necrotic symptoms. Overexpression of VdNEP by incorporating extra copies of the VdNEP gene increased virulence to cotton, eggplant and tomato plants, suggesting its role as a virulence factor in diverse plants. Increased expression of VdNEP among the transformants did not correlate with the number of VdNEP inserts, suggesting that its expression was affected by the genomic context of the insertion sites. Interestingly, a transformant derived from a defoliating strain with high VdNEP transcript levels caused disease symptoms in tomato plants, whereas the corresponding wild‐type strain did not cause visible symptoms. The amount of V . dahliae DNA in plants infected with this VdNEP ‐overexpressing transformant was 22 times higher than that in plants infected with the wild‐type isolate, further supporting the critical role of VdNEP in infection. A VdNEP‐EGFP fusion was constructed to follow its localization in fungal cells and during infection.


A palisade-shaped membrane reservoir is required for rapid ring cell inflation in Drechslerella dactyloides

November 2023

·

238 Reads

·

5 Citations

Fusion of individual vesicles carrying membrane-building materials with the plasma membrane (PM) enables gradual cell expansion and shape change. Constricting ring (CR) cells of carnivorous fungi triple in size within 0.1-1 s to capture passing nematodes. Here, we investigated how a carnivorous fungus, Drechslerella dactyloides, executes rapid and irreversible PM expansion during CR inflation. During CR maturation, vesicles carrying membrane-building materials accumulate and fuse, forming a structure named the Palisade-shaped Membrane-building Structure (PMS) around the rumen side of ring cells. After CR inflation, the PMS disappears, with partially inflated cells displaying wavy PM and fully inflated cells exhibiting smooth PM, suggesting that the PMS serves as the reservoir for membrane-building materials to enable rapid and extensive PM expansion. The DdSnc1, a v-SNARE protein, accumulates at the inner side of ring cells and is necessary for PMS formation and CR inflation. This study elucidates the unique cellular mechanisms underpinning rapid CR inflation.


Citations (49)


... However, our results revealed that T. harzianum metabolites and antagonist interactions inhibit the pathogen and increase the growth of pea plants. The authors of the reference [48] found out that Trichoderma BCAs detected the presence of F. oxysporum by detecting particular F. oxysporum VCs as signals and increasing antifungal metabolite release [49][50][51][52][53]. ...

Reference:

Cultivating a greener future: Exploiting trichoderma derived secondary metabolites for fusarium wilt management in peas
Multifaceted effects of volatile organic compounds released by Fusarium oxysporum on Trichoderma biocontrol agents
  • Citing Article
  • February 2024

Biological Control

... The high threshold of the overexpressed gene, accelerated the proliferation of the disease-causing organism, V. dahliae, resulting in enhanced disease index among the OE plants compared to the wild type. The results obtained were in agreement with previous ndings in which overexpression of necrosis and ethylene-inducing peptide 1-like Protein (NLP) gene signi cantly increased the virulence of Verticillium dahliae in eggplant, tomato, and cotton [41], which, which showed that the increased copy of VdNEP acerbated the virulence factor in plants, thus enhancing their susceptibility to pathogens. ...

Overexpression of an NLP protein family member increases virulence of Verticillium dahliae
  • Citing Article
  • January 2024

Plant Pathology

... The differential expression patterns of these genes and pathways were confirmed in the wild-type strain through qPCR analysis, consistent with their involvement in trap formation. The combined genomic, transcriptomic, and qPCR data and past research suggest a model of nematode trap formation in D. dactyloides [11][12][13] (Figure 7). In this model, Trap formation in D. dactyloides is involved by multiple pathways and gene sets. ...

A palisade-shaped membrane reservoir is required for rapid ring cell inflation in Drechslerella dactyloides

... Cost-effective and accurate detection of Pythium and Phytophthora plant pathogens is important, and VOCs hold promise for enabling both economical and accurate pathogen detection. Alongside existing DNA-based detection technologies in diagnostic assay development, using VOCs is an emerging technology (Geiser et al. 2023). VOCs can be used to detect both plant disease and plant pathogen, and this is often done by detecting VOCs that are likely produced by either the infected plant or constitutively produced or infection-induced in the plant pathogen. ...

Knowledge Gaps, Research Needs, and Opportunities in Plant Disease Diagnostic Assay Development and Validation

PhytoFrontiers™

... The sequencing of A. oligospora's genome took place in 2011, numerous studies have focused on the regulation of mycelial development and trap formation in this fungus. Several gene (Peng et al. 2022;Liu et al. 2022;Zhao et al. 2023), protein (Song et al. 2017;Xie et al. 2022;D. Zhou et al. 2021), signaling pathways (K. ...

DhFIG_2, a Gene of Nematode-Trapping Fungus Dactylellina haptotyla that Encodes a Component of the Low-Affinity Calcium Uptake System, Is Required for Conidiation and Knob-Trap Formation
  • Citing Article
  • February 2023

Fungal Genetics and Biology

... The differential expression patterns of these genes and pathways were confirmed in the wild-type strain through qPCR analysis, consistent with their involvement in trap formation. The combined genomic, transcriptomic, and qPCR data and past research suggest a model of nematode trap formation in D. dactyloides [11][12][13] (Figure 7). In this model, Trap formation in D. dactyloides is involved by multiple pathways and gene sets. ...

SNARE Protein DdVam7 of the Nematode-Trapping Fungus Drechslerella dactyloides Regulates Vegetative Growth, Conidiation, and the Predatory Process via Vacuole Assembly

Microbiology Spectrum

... Different concentrations of NaCl (0.1 M, 0.2 M, 0.3 M) were added to test resistance to osmotic stress; different concentrations of SDS (0.01%, 0.02%, 0.03%) were added to test resistance to detergent; different concentrations of Menadione (0.03 mM, 0.06 mM) were added to test resistance to oxidative stress. Menadione was chosen instead of H 2 O 2 because the wild-type D. dactyloides strain is highly sensitive to H 2 O 2 [11]. ...

DdaCrz1, a C2H2-Type Transcription Factor, Regulates Growth, Conidiation, and Stress Resistance in the Nematode-Trapping Fungus Drechslerella dactyloides

Journal of Fungi

... It uses methods such as microarray analysis, SOLiD-SAGE, and RNA sequencing (RNA-seq) for transcriptional profiling (Chen et al., 2022). Transcriptome analysis quantifies the expression and provides sequences of all samples, enabling the exploration of regulatory alterations, mutation scrutiny, sequence variants, differential expression, and alternative splicing (Weidemüller et al., 2021;Jeon et al., 2022). Transcriptome analyses have identified genes crucial in transitioning plant-microbe interactions from mutualistic to pathogenic, shedding light on disrupted associations (Rathnasamy et al., 2023). ...

Alternative splicing diversifies the transcriptome and proteome of the rice blast fungus during host infection

... These approaches allow for the exploration of complex interactions between plant genotype, phenotype, and associated microbiota, revealing how microbial communities can significantly influence plant traits [25]. Next-generation sequencing technologies, coupled with advanced informatics tools, have further revolutionized our ability to characterize microbiome profiles by analyzing the total gene content involved in various functions crucial for plant health [26]. ...

Genomics and Informatics, Conjoined Tools Vital for Understanding and Protecting Plant Health
  • Citing Article
  • December 2021

Phytopathology

... The Tef1 phylogeny sorted the set of strains analyzed in this study into two well-supported clades, corresponding to F. subglutinans and F. temperatum, respectively. Although several studies distinguished these entities using sequences of multiple phylogenetically informative loci [11][12][13], the 680 bp 5 ′ portion of Tef1 gene was confirmed to be highly informative at the taxonomic level, supporting the trend of the research community to adopt this gene as the primary barcoding locus in the Fusarium genus [8,22]. Furthermore, this nucleotide variability, related to taxonomical boundaries, has been exploited for the development of two species-specific primer pairs, usable indifferently and singularly, when discriminating between F. subglutinans and F. temperatum, because both of them amplify only target species and not the non-target species. ...

FUSARIUM-ID v.3.0: An updated, downloadable resource for Fusarium species identification

Plant Disease