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Agilent technologies microarray-based gene expression analysis guide
NAC61 expression analysis. (A) NAC61 expression behavior in grapevine organs throughout development (bar plot) and compared in the heatmap (logarithmic value) with that of NAC60 and NAC33. The data were retrieved from the atlas transcriptomic dataset of cv. ‘Corvina’ ( Fasoli et al ., 2012 ). Each value represents the mean ±SD of three biological replicates. (B) Correlation between NAC61 expression level and sugar content in grape berries sampled from fruit set to maturity in cv. ‘Cabernet Sauvignon’ and cv. ‘Pinot noir’ ( Fasoli et al ., 2018 ). The black line represents the trend of the averaged values of the two varieties. The R 2 values shown correspond to the fitting of different polynomial regressions to each corresponding group of samples (orange for cv. ‘Cabernet Sauvignon’ samples, blue for cv. ‘Pinot noir’ samples, and black for the entire set of samples). (C) Correlation between NAC61 expression level and sugar content in grape berries sampled during post-harvest dehydration in six different varieties ( Zenoni et al ., 2016 ). (D) Correlation between NAC61 expression level and berry weight loss in cv. ‘Corvina’ berries sampled during traditional long and forced short post-harvest dehydration processes ( Zenoni et al ., 2020 ). Expression values were determined by <t>microarray</t> analysis and each value represents the mean ±SD from three biological replicates. (E) NAC61 GCNs based on berry, leaf, and tissue-independent (TI) datasets. Left, Venn diagram showing exclusive and shared genes based on the three datasets; right, three-dimensional plot of co-expressed genes in which NAC, WRKY, and ZIP family members already described as having involvement in berry ripening and/or stress responses are indicated.
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NAC61 expression analysis. (A) NAC61 expression behavior in grapevine organs throughout development (bar plot) and compared in the heatmap (logarithmic value) with that of NAC60 and NAC33. The data were retrieved from the atlas transcriptomic dataset of cv. ‘Corvina’ ( Fasoli et al ., 2012 ). Each value represents the mean ±SD of three biological replicates. (B) Correlation between NAC61 expression level and sugar content in grape berries sampled from fruit set to maturity in cv. ‘Cabernet Sauvignon’ and cv. ‘Pinot noir’ ( Fasoli et al ., 2018 ). The black line represents the trend of the averaged values of the two varieties. The R 2 values shown correspond to the fitting of different polynomial regressions to each corresponding group of samples (orange for cv. ‘Cabernet Sauvignon’ samples, blue for cv. ‘Pinot noir’ samples, and black for the entire set of samples). (C) Correlation between NAC61 expression level and sugar content in grape berries sampled during post-harvest dehydration in six different varieties ( Zenoni et al ., 2016 ). (D) Correlation between NAC61 expression level and berry weight loss in cv. ‘Corvina’ berries sampled during traditional long and forced short post-harvest dehydration processes ( Zenoni et al ., 2020 ). Expression values were determined by microarray analysis and each value represents the mean ±SD from three biological replicates. (E) NAC61 GCNs based on berry, leaf, and tissue-independent (TI) datasets. Left, Venn diagram showing exclusive and shared genes based on the three datasets; right, three-dimensional plot of co-expressed genes in which NAC, WRKY, and ZIP family members already described as having involvement in berry ripening and/or stress responses are indicated.

Journal: Journal of Experimental Botany

Article Title: NAC61 regulates late- and post-ripening osmotic, oxidative, and biotic stress responses in grapevine

doi: 10.1093/jxb/erad507

Figure Lengend Snippet: NAC61 expression analysis. (A) NAC61 expression behavior in grapevine organs throughout development (bar plot) and compared in the heatmap (logarithmic value) with that of NAC60 and NAC33. The data were retrieved from the atlas transcriptomic dataset of cv. ‘Corvina’ ( Fasoli et al ., 2012 ). Each value represents the mean ±SD of three biological replicates. (B) Correlation between NAC61 expression level and sugar content in grape berries sampled from fruit set to maturity in cv. ‘Cabernet Sauvignon’ and cv. ‘Pinot noir’ ( Fasoli et al ., 2018 ). The black line represents the trend of the averaged values of the two varieties. The R 2 values shown correspond to the fitting of different polynomial regressions to each corresponding group of samples (orange for cv. ‘Cabernet Sauvignon’ samples, blue for cv. ‘Pinot noir’ samples, and black for the entire set of samples). (C) Correlation between NAC61 expression level and sugar content in grape berries sampled during post-harvest dehydration in six different varieties ( Zenoni et al ., 2016 ). (D) Correlation between NAC61 expression level and berry weight loss in cv. ‘Corvina’ berries sampled during traditional long and forced short post-harvest dehydration processes ( Zenoni et al ., 2020 ). Expression values were determined by microarray analysis and each value represents the mean ±SD from three biological replicates. (E) NAC61 GCNs based on berry, leaf, and tissue-independent (TI) datasets. Left, Venn diagram showing exclusive and shared genes based on the three datasets; right, three-dimensional plot of co-expressed genes in which NAC, WRKY, and ZIP family members already described as having involvement in berry ripening and/or stress responses are indicated.

Article Snippet: The cDNA synthesis, labelling, hybridization, and washing steps were performed according to the Agilent Microarray-Based Gene Expression Analysis Guide ( https://www.agilent.com/cs/library/usermanuals/Public/G4140-90040_GeneExpression_OneColor_6.9.pdf ).

Techniques: Expressing, Microarray