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. 2022 Feb 17;12:2673. doi: 10.1038/s41598-022-06411-4

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© The Author(s) 2022

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

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Analysis of the 1075 significantly differentially expressed genes from differential expression analysis. (a) Venn diagram showing the overlap of significant genes identified at DIV3, DIV7 and DIV14. (b) Heatmap of differentially expressed genes between seed and control at timepoints DIV 3, DIV 7 and DIV 14. Row clustering was applied based on Pearson correlation between genes. Underlying data to generate plot can be found in Supplementary File 2. (c) Heatmap of fidelity scores from Cell Type Correlates Oldham Lab^22–24 for cell type specific expression of differentially expressed genes. Row clustering was applied based on Euclidean distance between genes.