Most common OTU_0.03 occurring in 90% of the samples (i.e. in ≥25 out of 27 samples), their taxonomic affiliation, and their sequence abundance in this global set of deep-sea surface sediment samples.

<p>Most common OTU_0.03 occurring in 90% of the samples (i.e. in ≥25 out of 27 samples), their taxonomic affiliation, and their sequence abundance in this global set of deep-sea surface sediment samples.</p

Distance-decay and geographic patterns of bacterial deep-sea sediment communities.

The proportion of shared OTU0.03 between samples significantly decreased with geographic (earth surface) distance (a) and with distance through water (b). The proportion of shared OTU0.03 decreased with longitudinal distance (c), showed no correlation with latitudinal distance (d), and correlated with water depth (e). Dotted lines are linear model fits. Linear model’s R2, Spearman’s rho correlations, and their significance (Mantel tests with 1000 permutations) are reported in each panel (n.s., not significant). The dotted line in d displays a LOESS curve to indicate the trend with latitudinal distance.</p

Community composition of bacterial communities in deep-sea sediment (water depth ≥ 1000 m), at the class level (89 classes).

The large pie chart (top left) summarizes the findings based on all samples (N = 27 samples), and indicates the average relative abundances (only when ≥ 2%) of each class and the associated ranges in individual samples. Small pie charts on the map give the average community compositions in nine different oceanic regions. The numbers of samples as well as the number of sequences (n) are indicated. For comparison, the average community composition in subsurface sediments (2.5–90 mbsf, N = 5 samples, 98 classes) (http://icomm.mbl.edu, projects ICM_CFU and KCK_ODP) is displayed (top right). All sequence data were denoised and analysed using the standard operating procedure in mothur.</p

Range-abundance relationships.

a) Log-transformed relative OTU0.03 sequence abundance (filled orange squares) as a function of the number of samples an OTU0.03 was detected in, and the fraction of OTU0.03 from the total number of OTU0.03 (filled blue circles) that fall into the different categories. b) Log-transformed relative OTU0.03 sequence abundance (filled orange squares) as a function of the maximum distance an OTU0.03 was detected at, and the fraction of OTU0.03 from the total number of OTU0.03 (filled blue circles) that fall into the different range classes. Dashed lines indicate linear models for range-abundance relationships: a) Adj. R2 = 0.66, p2 = 0.30, p<0.0001.</p

Proportions of unique and cosmopolitan OTU between oceanic regions and individual samples at the class (a, b) and OTU_0.03 (c, d) level, after averaging of 100 sequence random resampling results (n sequences = 6883, standard deviations are indicated).

<p>Proportions of unique and cosmopolitan OTU between oceanic regions and individual samples at the class (a, b) and OTU_0.03 (c, d) level, after averaging of 100 sequence random resampling results (n sequences = 6883, standard deviations are indicated).</p

Bacteria_unique_sequence_abundance

Abundance of unique bacterial sequences in each sampl

rarefied microbial communiy matrixes

Excell file containing the rarefied microbial communities matrix used in this stud

Fungi_unique_sequence_abundance

Abundance of each unique sequence in each sampl

Fasta file of bacterial unique sequences

Bacterial unique sequences from soils of alpine grasslands dominated by Carex curvula or C. curvula sp roase and subalpine pastures dominated by Nardus strict

Soil data for multivariate analysis,

Solid chemical parameters by samplng site and grassland typ