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. 2019 Jul 9;19:300. doi: 10.1186/s12870-019-1793-z

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© The Author(s). 2019

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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 Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

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Fig. 3 — a An outline of functional classification for 64 differentially expressed proteins identified in the seedling leaves of two chickpea genotypes under salinity. This classification is according to the assignment of protein putative function(s) by searching in UniProt, NCBI, and associated literature; b Self-organizing tree algorithm (SOTA) clustering analysis of expression profiles for identified proteins under salinity for 1, 3, 5 and 10 days (t1, t2, t3, and t4, respectively); c Proteins were classified into six clusters and three patterns, based on their expression profiles, listed in Additional file 3: Table S1. The gray lines represent the expression profile of each protein, while the mean expression profile is marked in pink for each cluster. The expression change is based on fold-changes over respective controls (FC *)