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. 2020 Apr 10;10:6180. doi: 10.1038/s41598-020-63018-3

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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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Transcriptomic analysis at harvest for fruit batches with contrasted phenotype for superficial scald. (a) Three comparisons were setup in dye-swap between peel samples collected at early harvest from fruit batches with “low” versus “high” scald incidence after cold storage and shelf-life. The three comparisons were combined in one statistical analysis setting the “low” scald samples as “control”, and “high” scald samples as “test”. (b) DETs assignment to functional categories: 1050 DETs with BH < 0.05 were selected and 57% were assigned (based on Mapman ontology using the Mercator web tool). (c) Relative gene expression level (RT-qPCR) in fruit peel samples collected at harvest from “low” (2014) or “high” (2015 and 2017) scald years for HSP17.6CII (MD15G1053800), HSP21 (MD13G1108500), HSP40 (MD10G1289200), HSP90.1 (MD01G1208700) and HSP101 (MD06G1201600). Data are mean values ± SD of n = 3.