Fig. 1: Community composition of RWS and TWS and its temporal dynamics.

A Taxonomic community composition at genus level deduced from the identified proteins (metaproteomics data) for RWS (top graphs) and TWS (bottom graphs) (1 and 2 indicate the biological duplicates). Relative abundance of proteins based on NSAFs (normalized spectral abundance factors) was aggregated at the genus level for stacked bar plot representation. The group “Others” gather phyla with relative abundance less than 1% in the dataset. Within major phyla, the group “Others” gathers genera with relative abundance less than 2% in the dataset or unclassified genera. Proteins belonging to the same bacterial phylum were represented with the same color palette: Bacteroidetes (Bacteroidota) (blue), Firmicutes (Bacillota) (red); Proteobacteria (Pseudomonadota) (green), Spirochaetes (Spirochaetota) (purple), Fibrobacteres (Fibrobacterota) (orange). B Impact of the inoculum origin evidenced by Principal components analysis (PCA) ordination; PCA component 1 and 2 explained respectively 46% and 25.4% of the total variance and C. Impact of the incubation time in the community dynamic of RWS and TWS metaproteomes, assessed by Multivariate Integrative Partial Least Square Discriminant Analysis (MINT-PLS-DA) based on the abundance of taxa deduced from proteins (genus level, CLR-transformed data). MINT-PLS-DA component 1 and 2 explained 59% and 24% of the total variance. Ellipses at 95% confidence. D Clustered Image Map (CIM) represented the most discriminant genera of the different sampling times for RWS and TWS. CIM was built using the genera contributing the most to the two first MINT-PLS-DA dimensions. Hierarchical clustering was derived using the Euclidean distance and Ward methodology. Genera are represented in columns and samples in rows. The boxes on the left highlights the clusters discriminating the sampling points (yellow, gray, purple and dark-red). The abundance of proteins affiliated to each genus is indicated by the white-to-red color gradient (increasing values).