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. 2018 Jul 10;6:128. doi: 10.1186/s40168-018-0513-5

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© The Author(s). 2018

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. 5 — a SEED subsystems-based heatmap using the assembled coding sequences coming from contigs > 1 Kb. Proteins were grouped by depth (stratified samples UP, DCM, and LP) and season (MIX). For each one of the SEED categories, values were normalized by their standard score (z-score). b Number of glycoside hydrolases (GHs) detected in all the contigs > 5 Kb assigned the different phyla using the Carbohydrate-Active enZYmes (CAZy) database. EQ, number of GH per 1000 genes analyzed. NORM, number of GH per 1000 genes normalized by the percentage of 16S rRNA reads. c Heatmap of the different GH families. Abundance of GH was clustered by phylum and depth of the samples