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opennotspecifiedMay 2021View details →

Fig. 2 in Deciphering the roles of leucine-rich repeat receptor-like protein kinases (LRR-RLKs) in response to Fusarium wilt in the Vernicia fordii (Tung tree)

Fig. 2. The circos figures for chromosome locations with segmental duplication links in M. esculenta (Me; green), H. brasiliensis (Hb; orange), J. curcas (Jc; yellow), R. communis (Rc; blue), and V. fordii (Vf; cyan). The different lines suggested segmented duplicated gene pairs among these five Euphorbiaceae genomes. All the collinearity pairs are represented by grey background. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)

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.

opennotspecifiedJan 2021View details →

Fig. 8 in Antibacterial kaneoheoic acids A-F from a Hawaiian fungus Fusarium sp. FM701

Fig. 8. Key COSY (bolds) and HMBC (red arrows) correlations of compounds 5 and 6. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)

opennotspecifiedJan 2021View details →

Fig. 4 in Antibacterial kaneoheoic acids A-F from a Hawaiian fungus Fusarium sp. FM701

Fig. 4. Key COSY (bolds) and HMBC (red arrows) correlations of compounds 3 and 4. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)

opennotspecifiedJan 2021View details →

Fig. 2 in Antibacterial kaneoheoic acids A-F from a Hawaiian fungus Fusarium sp. FM701

Fig. 2. Key COSY (bolds) and HMBC (red arrows) correlations of compounds 1 and 2. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)

opencc-zeroAug 2023View details →

Data from: Phase-dependent differential in vitro and ex vivo susceptibility of Aspergillus flavus and Fusarium keratoplasticum to azole antifungals

Fungal keratitis (FK) is an invasive infection of the cornea primarily associated with Aspergillus and Fusarium species. FK is treated empirically with a limited selection of topical antifungals with varying levels of success. Though clinical infections are typically characterized by a dense network of mature mycelium, traditional models used to test antifungal susceptibility of FK isolates exclusively evaluate susceptibility in fungal cultures derived from asexual spores known as conidia. The purpose of this study was to characterize differences in fungal response when topical antifungal treatment is initiated at progressive phases of fungal development. We compared efficacy of voriconazole and luliconazole against in vitro cultures of A. flavus and F. keratoplasticum at 0, 24, and 48 h of fungal development. Data from this assay is included here, reported as end-point absorbance values. A porcine cadaver corneal model was used to compare antifungal efficacy of voriconazole and luliconazole in ex vivo tissue cultures of A. flavus and F. keratoplasticum at 0, 24, and 48 h of fungal development. Data from this assay may be found here, reported as pixel counts of the determined area.

publicDec 2019View details →

Fusarium virguliforme transcriptional plasticity is revealed by host colonization of corn vs. soybean

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publicAug 2023View details →

Data from: Phase-dependent differential in vitro and ex vivo susceptibility of Aspergillus flavus and Fusarium keratoplasticum to azole antifungals

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publicOct 2022View details →

The transcriptome responses of Fusarium head blight and Fusarium root rot in B. distachyon

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publicJul 2022View details →

Spatial pattern of genetic diversity in field populations of Fusarium incarnatum-equiseti species complex

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opencc-by-4.0Jun 2020View details →

Figure 3 from: Ezekiel CN, Kraak B, Sandoval-Denis M, Sulyok M, Oyedele OA, Ayeni KI, Makinde OM, Akinyemi OM, Krska R, Crous PW, Houbraken J (2020) Diversity and toxigenicity of fungi and description of Fusarium madaense sp. nov. from cereals, legumes and soils in north-central Nigeria. MycoKeys 67: 95-124. https://doi.org/10.3897/mycokeys.67.52716

Figure 3 The first of 1000 equally parsimonious trees obtained from Maximum-Parsimony (MP) analysis of RPB2 sequences of 76 isolates of Fusarium and Neocosmospora spp. Numbers on the nodes are MP bootstrap values (BS) and Maximum-Likelihood BS values above 70%. Branch lengths are proportional to distance. Ex-type and ex-epitype strains are indicated with T and ET, respectively. The names of 17 species complexes of Fusarium are shown in grey. Nigerian isolates obtained in this study are shown in red together with their geographical origin and source of isolation. The internal square shows MP statistics as follows: TL = tree length, CI = consistency index, RI = retention index and HI = homoplasy index.

opencc-zeroJun 2020View details →

Supplementary material 1 from: Ezekiel CN, Kraak B, Sandoval-Denis M, Sulyok M, Oyedele OA, Ayeni KI, Makinde OM, Akinyemi OM, Krska R, Crous PW, Houbraken J (2020) Diversity and toxigenicity of fungi and description of Fusarium madaense sp. nov. from cereals, legumes and soils in north-central Nigeria. MycoKeys 67: 95-124. https://doi.org/10.3897/mycokeys.67.52716

Tables S1, S2

opencc-by-4.0Jun 2020View details →

Figure 2 from: Ezekiel CN, Kraak B, Sandoval-Denis M, Sulyok M, Oyedele OA, Ayeni KI, Makinde OM, Akinyemi OM, Krska R, Crous PW, Houbraken J (2020) Diversity and toxigenicity of fungi and description of Fusarium madaense sp. nov. from cereals, legumes and soils in north-central Nigeria. MycoKeys 67: 95-124. https://doi.org/10.3897/mycokeys.67.52716

Figure 2 Distribution of fungal species in food and soil in two states A Nasarawa state B Niger state C combined/both states) in north-central Nigeria.