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70 results for “Fusarium graminearum”
A versatile microfluidic platform measures hyphal interactions between Fusarium graminearum and Clonostachys rosea in real-time
<p>Routinely, fungal-fungal interactions (FFIs) are studied on agar surfaces. However, this format restricts high-resolution dynamic imaging. To gain experimental access to FFIs at the hyphal level in real-time, we developed a microfluidic platform, a FFI device. This device utilises microchannel geometry to enhance the visibility of hyphal growth and provides control channels to allow comparisons between localised and systemic effects. We demonstrate its function by investigating the FFI between the biological control agent (BCA) <em>Clonostachys rosea </em>and the plant pathogen <em>Fusarium graminearum. </em>Microscope image analyses confirm the inhibitory effect of the necrotrophic BCA and we show that a loss of fluorescence in parasitised hyphae of GFP-tagged <em>F. graminearum </em>coincides with the detection of GFP in mycelium of <em>C. rosea</em>. The versatility of our device to operate under both water-saturated and nutrient-rich as well as dry and nutrient-deficient conditions, coupled with its spatio-temporal output, opens new opportunities to study relationships between fungi.</p>
Extracellular vesicles from Fusarium graminearum contain protein effectors expressed during infection of corn
<p><em>Fusarium</em> <em>graminearum</em> (<em>Fgr</em>) is a devastating filamentous fungal pathogen that causes diseases in cereals, while producing mycotoxins that are toxic for humans and animals, and render grains unusable. Low efficiency in managing <em>Fgr</em> poses a constant need for identifying novel control mechanisms. Evidence that fungal extracellular vesicles (EVs) from pathogenic yeast have a role in human disease led us to question whether this is also true for fungal plant pathogens. We separated EVs from <em>Fgr</em> and performed a proteomic analysis to determine if EVs carry proteins with potential roles in pathogenesis. We revealed that protein effectors, which are crucial for fungal virulence, were detected in EV preparations and some of them did not contain predicted secretion signals. Furthermore, a transcriptomic analysis of corn (<em>Zea</em> <em>mays</em>) plants infected by <em>Fgr</em> revealed that the genes of some of the effectors were highly expressed in vivo, suggesting that the <em>Fgr</em> EVs are a mechanism for the unconventional secretion of effectors and virulence factors. Our results expand the knowledge on fungal EVs in plant pathogenesis and cross-kingdom communication, and may contribute to the discovery of new antifungals.</p> <p>The following are available online at www.mdpi.com/xxx/s1, Figure S1. Controls for the separation of EVs from <em>Fusarium</em> <em>graminearum</em> (<em>Fgr</em>) by SEC. Figure S2. The superoxide dismutase [Cu-Zn] (SOD1) from F. <em>graminearum</em> (<em>Fgr</em>) contains a diacidic amino acid motif implicated in unconventional secretion. Figure S3. Sequence alignment of the chitinase GH18 domain. Figure S4. Computational prediction of effector candidates detected in EV samples from <em>Fusarium</em> <em>graminearum</em> (<em>Fgr</em>). Table S1. List of proteins detected in EVs from <em>Fusarium</em> <em>graminearum</em> (<em>Fgr</em>). Table S2. List of proteins employed in the computational effector prediction analysis. Table S3. Proteins identified in the secretome from <em>Fusarium</em> <em>graminearum</em> (<em>Fgr</em>). Table S4. List of transcripts identified in corn (<em>Zea</em> <em>mays</em>) infected by <em>Fusarium</em> <em>graminearum</em> (<em>Fgr</em>). Table S5. Gene expression values per biological replicate.</p>
Phenotype pictures of wheat heads infected with Fusarium graminearum
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Fig. 2 in Polyketides, diketopiperazines and an isochromanone from the marine-derived fungal strain Fusarium graminearum FM1010 from Hawaii
Fig. 2. Key COSY (bolds) and HMBC (red arrows) correlations of compound 1–4, and 6. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
Fig. 1 in Polyketides, diketopiperazines and an isochromanone from the marine-derived fungal strain Fusarium graminearum FM1010 from Hawaii
Fig. 1. Chemical structures of compounds 1–6.
Fig. 3 in Polyketides, diketopiperazines and an isochromanone from the marine-derived fungal strain Fusarium graminearum FM1010 from Hawaii
Fig. 3. Experimental and calculated ECD of compound 6.
Effect of L-tryptophan, tryptamine and indole-3 acetaldehyde on gene expression in Fusarium graminearum
GEO Series GSE100318. Fusarium graminearum. 18 samples. Type: Expression profiling by array.
RNA-seq analysis of FSS1-dependent genes in Fusarium graminearum Z-3639
GEO Series GSE59177. Fusarium graminearum. 6 samples. Type: Expression profiling by high throughput sequencing.
Genomics and Transcriptomics of 3ANX (NX-2) and NX (NX-3) producing isolates of Fusarium graminearum
GEO Series GSE292521. Fusarium graminearum. 60 samples. Type: Expression profiling by high throughput sequencing.
RNA-seq Analysis of RFX1-dependent Genes in Fusarium graminearum Z-3639
GEO Series GSE52198. Fusarium graminearum. 2 samples. Type: Expression profiling by high throughput sequencing.
Transcriptome analyses during fruiting body formation in Fusarium graminearum and Fusarium verticillioides reflect species life history and ecology
GEO Series GSE61865. Fusarium graminearum; Fusarium verticillioides. 12 samples. Type: Expression profiling by high throughput sequencing.
Transcriptional responses of Fusarium graminearum when exposed to bacterial MAMPs
GEO Series GSE65311. Fusarium graminearum PH-1. 54 samples. Type: Expression profiling by high throughput sequencing.
RNA-seq analysis of transcriptomes at 5 day after sexual induction in Fusarium graminearum strains
GEO Series GSE87724. Fusarium graminearum. 7 samples. Type: Expression profiling by high throughput sequencing.
Effect of edeine B1 in gene expression of Fusarium graminearum
GEO Series GSE214312. Fusarium graminearum. 12 samples. Type: Expression profiling by high throughput sequencing.
The Transcription factor FgSfp1 orchestrates mycotoxin deoxynivalenol biosynthesis in Fusarium graminearum
GEO Series GSE262607. Fusarium graminearum PH-1. 6 samples. Type: Expression profiling by high throughput sequencing.
Transcriptome analyses of toxoflavin-dependent genes in Fusarium graminearum wild-type GZ03639 and toxoflavin-sensitive mutants
GEO Series GSE104623. Fusarium graminearum. 16 samples. Type: Expression profiling by high throughput sequencing.
Comparative transcriptomics reveal contrasting fungal strategies in a plant pathogen (Fusarium graminearum) versus an endophyte (Metarhizium anisopliae) during initial host colonization
GEO Series GSE277787. Fusarium graminearum. 24 samples. Type: Expression profiling by high throughput sequencing.
RNA-seq analysis of transcriptomes at 1 day after sexual induction in Fusarium graminearum strains
GEO Series GSE79532. Fusarium graminearum. 9 samples. Type: Expression profiling by high throughput sequencing.
RNA-seq analysis of Fusarium graminearum Z-3639 in heat stress
GEO Series GSE78885. Fusarium graminearum. 6 samples. Type: Expression profiling by high throughput sequencing.
Leucine metabolism regulates TRI6 expression and affects deoxynivalenol production and virulence in Fusarium graminearum
GEO Series GSE71604. Fusarium graminearum. 6 samples. Type: Expression profiling by high throughput sequencing.
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Allen Brain Atlas
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International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.