Additional file 10: Figure S6. of Shared and divergent pathways for flower abscission are triggered by gibberellic acid and carbon starvation in seedless Vitis vinifera L

Distribution of differentially changed transcripts and metabolites according to functional categories. Each pie chart corresponds to changes occurred as response to GAc and shade treatments at 5 and 7 days after 100 % cap fall (d). (PDF 234 kb

Additional file 11: Table S5. of Shared and divergent pathways for flower abscission are triggered by gibberellic acid and carbon starvation in seedless Vitis vinifera L

Enzymatic classification of differentially expressed genes and respective fold-change for each treatment at 5 and 7d. (XLSX 68 kb

Additional file 6: Table S3. of Shared and divergent pathways for flower abscission are triggered by gibberellic acid and carbon starvation in seedless Vitis vinifera L

List of genes significantly affected by GAc and shade treatments. Gene annotation, functional categories and respective fold-change. The abbreviations GAc5d, GAc7d, SH5d and SH7d mean the log2 fold-change between gene relative expression obtained in treated and control inflorescences, at 5 and 7 days after 100 % cap fall. (XLSX 777 kb

Additional file 4: Table S2. of Shared and divergent pathways for flower abscission are triggered by gibberellic acid and carbon starvation in seedless Vitis vinifera L

Parameters for hormone identification in Mass Spectrometry. Cone voltage potential, collision energy (CE) and other performance characteristics. (PDF 67 kb

Paired sample analysis for sites sampled within 20 km of each other in the historical and modern datasets.

<p>n = number of pairs.</p

Frequency of Yellow <i>C. nemoralis</i> recorded as population averages in quarter degree cells of latitude and longitude.

<p>(a) the modern and historic datasets combined (b) the modern dataset and (c) the historical dataset. The Key shows the division of the frequency of the Yellow morph by intervals of 0.2.</p

Definitions of independent variables used in the statistical analysis.

<p>Definitions of independent variables used in the statistical analysis.</p

A collection of snails from a polymorphic population of <i>Cepaea nemoralis</i> in Poland.

<p>This illustrates the variety of shell colours (Yellow, Pink, Brown) and banding (0, 1, 5) typically found. Photograph by Robert Cameron.</p

Frequency of morphs in four habitat types, as predicted from the models in <b>Table 2</b>.

<p>Standard errors are shown. (a) Yellow, all differences between habitats are significant P<0.001; (b) Mid-banded, differences between dune habitat and all others are significant P<0.001. Other differences are not significant; (c) Unbanded. All differences are significant except for that between grassland and woodland. (P<0.001 for all comparisons involving dune, P = 0.023 for woodland v hedge, P = 0.027 for hedge v grassland). All P values in these comparisons were corrected for multiple testing using Bonferroni.</p

Summary of the results of General Additive Modeling of shell polymorphism in <i>Cepaea nemoralis</i> in the combined dataset of historical and 2009 samples collected throughout Europe.

<p>Statistics shown are coefficients (α) and t-values for unsmoothed terms and F-values for smoothed terms. P-values are approximate. n = sample size (number of populations), Dev% is the percent deviance accounted for by the model. Mid-banded frequency is calculated as a percentage of banded. Coefficient values are not given for the terms entered as smooth functions, because such function cannot be described by a single coefficient.</p>†<p>In this case the model omitting Habitat as an independent variable fits slightly better in terms of deviance than the model including Habitat, so no test statistic or p value can be calculated.</p