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49 results for “Fusarium oxysporum”
Annotation of the the assembled genome of Fusarium oxysporum f. sp. albedinis strain 133, the causal agent of date palm dieback.
<p>Annotation of the the assembled genome of <em>Fusarium oxysporum f. sp. albedinis</em> strain 133 (Khayi et al., 2020). Gene prediction and annotation were carried out using funnotate pipeline v1.8.1 (Stajich, 2020), which includes masking, ab initio gene-prediction training, using Augustus and Genmark, with the EST dataset reported to the Ganoderma mycocosm repository, gene prediction, and the assignment of functional annotation to protein-coding gene models.</p>
Genome assembly of Fusarium oxysporum f.sp. sesami
<p>Here we summarized the scripts used for the genome assembly of the sesame wilt disease pathogen (<em>Fusarium oxysporum f.sp. sesami</em>).</p> <p> </p>
Datasets "Exploring the Impact of Apocarotenoids on Pathogenic Fusarium oxysporum f.sp. lini and Endophytic Fo47 strains".
<p><strong>Dataset 1 comprises files related to qPCR analysis, measurements of mass and spore counts, and assessments of colony size. Dataset 2 includes photographic documentation of Fol and Fo47 treatments, while Dataset 3 contains microscopic images of Fol and Fo47 following treatments. The UPLC dataset provides files detailing the analysis of fusaric acid production. These datasets support the findings presented in the article <em>'Exploring the Impact of Apocarotenoids on Pathogenic Fusarium oxysporum f. sp. lini and Endophytic Fo47 Strains.'</em> Comprehensive information regarding the methods and experimental designs can be found within the article.</strong></p>
Complete workflow for the prediction of the secretome of Fusarium oxysporum f. sp. albedinis, the causal agent of palm dieback
<p>Custom scripts for mining the secretome of <em>Fusarium oxysporum</em> f. sp. <em>albedinis</em>, the causal agent of date palm dieback disease. </p>
Fusarium oxysporum chlamydospores
<p>Fusarium oxysporum chlamydospores</p>
Fusarium oxysporum, Macroconidia and microconidia
<p>Fusarium oxysporum, Macroconidia and microconidia</p>
Fig. 6 in Flavonoid biosynthesis in Dianthus caryophyllus L. is early regulated during interaction with Fusarium oxysporum f. sp. dianthi
Fig. 6. Most-important flavonoids from roots of resistant carnation cultivar (GRC) at 96 h post-inoculation (hpi). (a) Top-ranked rt/m/z features by t-test associated with Fod-inoculated or non-inoculated (control) plants of GRC. The ranking is organized from top to bottom according t-test. Each colored cell on the map the heat map indicates the higher (red) or lower (blue) autoscaled feature intensities. Bold numbers in parenthesis correspond to the annotated features listed in Table 1. (b) Classical receiver operating characteristic (ROC) curves of the three top-ranked features comparing Fod-inoculated/control plants of GRC at 96 hpi. Sensitivity on the y-axis; Specificity on the x-axis. Area-under-the-curve (AUC) in blue. Box-plots of the autoscaled intensity of each selected feature between inoculated and control groups within the dataset are presented at left side of each ROC curve. A horizontal red line in box-plots define the optimal cutoff. (c) Time-course profiles of crossvalidated, top-ranked features of GRC. GRC = red time-course; MSC = green time-course. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
Fig. 7 in Flavonoid biosynthesis in Dianthus caryophyllus L. is early regulated during interaction with Fusarium oxysporum f. sp. dianthi
Fig. 7. Fod inoculation effect on transcriptional levels of putative genes encoding the CHS, CHI and FLS enzymes (i.e., chi, chs and fls) and gene encoding the MYB11 transcription factor (cmyb11) in carnation roots for 'Golem' resistant (GRC) and 'Mizuki' susceptible (MSC) cultivars. Gene expression levels of Fod-inoculated and non-inoculated (control) carnation plants based on real-time RT-PCR experiments. Box plots for the relative quantification of mRNA to histone (left) and the ratio of inoculated/control mRNA levels (right) for (a) chs, (b) chi, (c) fls, and (d) cmyb11. Green boxes = control GRC; light green boxes = inoculated GRC; Blue boxes = control MSC; light blue boxes = inoculated MSC; red boxes = inoculated/control mRNA level ratio of GRC; purple boxes = inoculated/control mRNA level ratio of MSC. Different letter indicates significant differences for each post-inoculation time examined according to Tukey test (P <0.05). (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
Fig. 4 in Flavonoid biosynthesis in Dianthus caryophyllus L. is early regulated during interaction with Fusarium oxysporum f. sp. dianthi
Fig. 4. Important features selected by fold-change (FC) analysis, principal component analysis (PCA) and multivariate empirical bayes approach (MEBA) of carnation samples according to the profiles of constitutive flavonoids from both non-inoculated cultivars. (a) Paired FC analysis with threshold |2| of GCR/MSC ratio as comparison type. UV-based filtered features were labelled retention time–mass/charge ratio (rt/m/z) pairs. A feature was highlighted as significant if this ratio was above/below threshold. Red dots represent features above the threshold and related to GRC; Blue dots represent features below the threshold and related to MSC. (b) PCA-derived 3D-scores plot (81% of explained variance). Cultivars are differentiated by colors (blue = MSC; red = GRC); Sampling times (in h) are differentiated by shapes (circles = 0 h; squares = 12 h; triangles = 24 h; diamonds = 48 h; octagons = 96 h). GRC samples collected at later times (24, 48, and 96 h) are highlighted with the semi-transparent red ellipse. (c) PCA-derived 3D-loadings plot. Each dot represents a feature and the distribution across the 3D-plot is related to its statistical influence on principal components for discriminating the samples. The most-influencing GCR-related features are highlighted the semi-transparent red ellipse. (d) Time-course profiles of those high-ranked features for GRC. GRC = red time-course; MSC = green time-course. (e) Hotelling-T2-ranked features from MEBA. Autoscaled relative abundances per cultivar according to the heat map colors: red = higher; blue = lower. Bold numbers in parenthesis correspond to the annotated features listed in Table 1. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
Fig. 3 in Flavonoid biosynthesis in Dianthus caryophyllus L. is early regulated during interaction with Fusarium oxysporum f. sp. dianthi
Fig. 3. (a) Total Phenolic Content (TPC) and (b) Total Flavonoid Content (TFC) of carnation roots at early times during the 96-h Fod-inoculation in vivo assay. TPC expressed as micrograms of gallic acid equivalents per gram of fresh weight (μg CE/100 g fw). TFC expressed as micrograms of catechin equivalents per gram of fresh weight (μg CE/g fw). Each data point is expressed as mean values ± standard error of the mean (SEM) as vertical bars (n = 3). Different letter indicates significant differences for each post-inoculation time examined according to Tukey test (P <0.05). Carnation cultivars: GRC = 'Golem' resistant cultivar; MSC = 'Mizuki' susceptible cultivar.
Fig. 2 in Flavonoid biosynthesis in Dianthus caryophyllus L. is early regulated during interaction with Fusarium oxysporum f. sp. dianthi
Fig. 2. Vascular wilt severity, expressed as severity index (SI), during the 7- week in vivo assay. Each data point is expressed as mean SI ± standard error of the mean (SEM) as vertical bars (n = 3). Different letter marking each data point indicates significant differences for each post-inoculation time examined according to Tukey test (P <0.05). Carnation cultivars: GRC = 'Golem' resistant cultivar; MSC = 'Mizuki' susceptible cultivar.
Fig. 5 in Flavonoid biosynthesis in Dianthus caryophyllus L. is early regulated during interaction with Fusarium oxysporum f. sp. dianthi
Fig. 5. Distribution and factor-associated patterns of flavonoid-related features during the in vivo Fod-inoculation assay. (a) Two-factor clustering in the form of heat map ordering by condition (i.e., combinations of GRC/MSC cultivars and Fod-inoculated/non-inoculated (as control) plants) and post-inoculation times (12, 24, 48, 96 hpi). Condition was used for primary ordering. Each colored cell on the map indicates the higher (red) or lower (blue) autoscaled relative abundances. (b) Major patterns identified by ANOVA-simultaneous component analysis (ASCA) associated with condition (b-1) and time (b-2). G + i = inoculated GRC; GC = GRC control; M + i = inoculated MSC; MC = MSC control. (c) Major patterns identified by ASCA associated with two-component factor interaction submodels: interaction 'condition × time' scores on the first (c-1 and c-3) and second (c-2 and c-4) components. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
Fig. 1 in Flavonoid biosynthesis in Dianthus caryophyllus L. is early regulated during interaction with Fusarium oxysporum f. sp. dianthi
Fig. 1. Three-phase workflow performed in this study. Each colored segment comprises the general steps (in boxes) adopted in each study phase. hpi = hours postinoculation. TPC = Total phenolic content. TFC = Total flavonoid content.
['Genomic Characterization and Virulence Potential of Two Fusarium oxysporum Isolates Cultured from the International Space Station']
['Two isolates of Fusarium oxysporum, ISS-F3 and ISS-F4, were cultured from the dining table on the International Space Station (ISS). Genomic analyses using EF-1α sequences, presence/absence of effector proteins, k-mer comparisons, and single nucleotide polymorphisms indicate that these two strains are genomically different from 65 known sequenced strains. Functional analysis revealed that ISS-F3/F4 had higher relative abundances of polyketide synthase domains than a non-plant-pathogenic soil isolate, used for biocontrol properties (Fo47), and a clinical isolate (FOSC-3a). Putative secondary metabolite analysis indicates that ISS-F3/F4 may produce yet-unreported polyketides and nonribosomal peptides. While genomic analysis showed that these ISS strains are unlikely to be plant pathogens, a virulence assay using an immunocompromised Caenorhabditis elegans model of fusariosis revealed that they were virulent and may represent opportunistic pathogens in animals, including humans. However, its effects on the health of immunocompromised humans warrant further study.']
['Draft Genome Sequences of Two Fusarium oxysporum Isolates Cultured from Infected Zinnia hybrida Plants Grown on the International Space Station']
['Draft genome sequences of two Fusarium oxysporum isolates cultured from infected Zinnia hybrida plants grown on the International Space Station']
Transcriptome profiling and digital gene expression analysis of sweet potato challenged with Fusarium oxysporum f. sp.batatas.
GEO Series GSE89290. Ipomoea batatas. 16 samples. Type: Expression profiling by high throughput sequencing.
Transcriptional profiling of wilt-resistant and wilt-susceptible chickpea cultivars after Fusarium oxysporum f.sp. ciceri (Foc) inoculation
GEO Series GSE86377. Cicer arietinum. 4 samples. Type: Expression profiling by high throughput sequencing.
Response by Fusarium oxysporum f.sp. lycopersici 4287 to 28 and 37 degrees celcius
GEO Series GSE113332. Fusarium oxysporum f. sp. lycopersici 4287. 6 samples. Type: Expression profiling by high throughput sequencing.
mRNA-profiles of Arabidopsis thaliana (Col-0) roots infected with Fusarium oxysporum 5176 over a time course of six days
GEO Series GSE168015. Fusarium oxysporum; Arabidopsis thaliana. 52 samples. Type: Expression profiling by high throughput sequencing.
Transcriptome profiles in compatible and incompatible interactions between soybean and Fusarium oxysporum
GEO Series GSE66861. Glycine max. 18 samples. Type: Expression profiling by high throughput sequencing.
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
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
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