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. 2020 May 18;10:8165. doi: 10.1038/s41598-020-65164-0

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© The Author(s) 2020

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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.

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Heat-map of tissue-specific expression patterns of the five candidate genes. The in-silico gene expression of the six candidate genes were extracted for husk and other 13 tissues. The gene expressions were represented by the normalized Reads Per Kilobase per Million (RPKM). The log2 transformation of the ratio of gene expression in husk against the gene expression in other 13 tissues were hierarchically clustered in two dimensions (gene and tissue) and displayed using heat map. The expression of GRMZM2G012416 in husk were lower than all other tissues.