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Fig. S1 Venn diagram showing the number of bacterial OTUs that were unique to small cell (SC) fractions (0.1-μm filter samples) and large cell (LC) fractions (1.2-μm filter samples), and those shared between the two fractions.

Fig. S2 Rank-abundance curves showing the relative abundance of each OTU (log scaled) versus abundance ranks in the presence and absence of singletons.

Fig. S3 Hierarchical clustering of OTUs (3% distance threshold) based on distance matrices calculated using (A) the Bray-Curtis similarity index for community structure and (B) Jaccard similarity coefficient for community membership after normalizing the overall sequences in small cell (SC) fractions down to those in large cell (LC) fractions (54 867 sequences; = 21 each).

Fig. S4 Relative abundance of the different Bacteria phyla in small cell fractions compared to large cell fractions.

Fig. S5 Heat map showing the relative abundance and distribution of 30 major OTUs in small cell fractions, defined here as ≥5 sequences per OTU (3% distance threshold).

Table S1 Physical and environmental characteristics of samples from seven transects used in this study.

Table S2 Number of sequences and diversity estimates of bacterial sequences from individual small cell (SC) fractions (0.1-μm filter samples) and large cell (LC) fractions (1.2-μm filter samples) from each transect.

Table S3 anosim test between the major groups in samples from the small cell fractions (n = 31) designated as those from the north (N), intermediate zone (Iz), and central (C) as computed from their respective weighted UniFrac distances without singletons.

Table S4 Differentially abundant taxa (≥0.5% of all subsampled sequences) between the North and the Central Red Sea as determined with Metastat.

Table S5 Number of Bacterial sequences (including singletons) and operational taxonomic units (OTUs; clustered at 3% distance threshold) for the frequenctly detected phyla, classes, and orders.

Table S6 Spearman’s rank correlation coefficient (r) between between the first principle coordinate of the weighted UniFrac (which explains 37.6% of the variation in the original data) of the small cell fractions and key environmental parameters.

Table S7 Spearman’s rank correlation coefficient (r) between between the second principle coordinate of the weighted UniFrac (which explains 13.8% of the variation in the original data) of the large cell fractions and key environmental parameters.

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MEC_5378_sm_FigureS1-5.pdf178KSupporting info item
MEC_5378_sm_TableS1-S7.xlsx71KSupporting info item

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