30 research outputs found

    Some genes in selected modules with central roles in biosynthesis of secondary metabolites.

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    Some genes in selected modules with central roles in biosynthesis of secondary metabolites.</p

    Transcription factors involved in the modules related to the production of secondary metabolites.

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    Transcription factors involved in the modules related to the production of secondary metabolites.</p

    Correlation of modules and secondary metabolites.

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    Module Eigengenes (MEs) and secondary metabolites are respectively represented by each row and column. Each cell contains the corresponding correlation at the top and P-value at the bottom. The positive correlation of the module with secondary metabolites and the negative correlation are respectively shown in red and green. The white spectrum indicates the inexistence of modules and secondary metabolites correlations.</p

    Clustering of 180 modules.

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    The horizontal red line shows the height cut of 0.25, which corresponds to the correlation of 0.75, to merging the modules.</p

    Protein kinases involved to the biosynthesis of secondary metabolites.

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    Protein kinases involved to the biosynthesis of secondary metabolites.</p

    Annotation of hub protein interactions.

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    Annotation of each node in protein-protein interactions of hub proteins. (DOCX)</p

    The scatterplot of Gene Significance (GS) for digitoxigenin bis-digitoxoside vs. Module Membership (MM) in chocolate3.

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    The high significant correlation between GS and MM for Digitoxigenin bis-digitoxoside in the chocolate3 module.</p

    Two-year-old <i>Digitalis purpurea</i> pots.

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    The plants were treated with 100 μM MeJA (plus 0.1% Tween-20) in 0.1% ethanol. In addition, the controls were sprayed and watered with 0.1% Tween-20 in 0.1% ethanol. The leaf samples were collected at 3, 6, 24, and 48 hours after treatment. (TIF)</p

    The comparative relative expression of the candidate genes under 100 μM MeJA treatment in <i>Digitalis purpurea</i> L.

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    Here, the expression pattern of JAZ3, SCL14, DWF1, and HYD1 is compared. X axis represents the fold change of the expression of candidate genes. Y axis represents time points. Vertical bars indicate ± SE of the mean (n = 3). The different letters on columns represent the significant difference given by Duncan’s multiple range tests (P-value ≤ 0.05). There were no significant differences between equal letters (P-value ≤ 0.05). The interesting point is that the expression of HYD1, involved in the biosynthesis of cholesterol and subsequently the cardiac glycosides, shows a stable increase after 48 h. In contrast, other genes are suppressing and JAZ3, inducing the downstream genes, shows a significant suppression.</p

    Selection of an appropriate soft threshold power of β.

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    Left; the scale-free fit index of power (β) was estimated to be 16 based on the threshold limit of 0.9. Right; the mean connectivity versus soft-thresholding power.</p
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