DOI: 10.6084/m9.figshare.26991676.v1
title: Additional file 2 of Biogeographic survey of soil bacterial communities across Antarctica

description: Additional file 2: Table S1. Specifics for all analysed datasets. The total number of samples was 1164, whereas the number of samples passing all the quality steps was 988. *ACBRs from 1 to 16 correspond to those described from Terauds and Lee (2016), "AUI" stands for “ACBR unclassified islands” and represents islands associated with the Antarctic mainland not included in the ACBR classification, and sub- and peri-Antarctic islands.  **years correspond to Austral summers except from when specified otherwise. ***number of samples after a cutoff of 5000 reads per sample was applied. Table S2. Sample specifics. BIO1: mean annual air temperature, °C; BIO2: mean diurnal air temperature range, °C; BIO4: temperature seasonality, °C/100; BIO5: mean daily maximum air temperature of the warmest month, °C; BIO10: mean daily mean air temperatures of the warmest quarter, °C; BIO12: annual precipitation, kg m-2; BIO14: precipitation in the driest month, kg m-2; BIO15: precipitation seasonality, %; BIO17: mean monthly precipitation in the driest quarter, kg m-2; BIO18: mean monthly precipitation in the warmest quarter, kg m-2; SWE: snow water equivalent, kg m-2; Distance to coast: km; Distance to ocean: km; Elevation: m. ACBRs from 1 to 16 correspond to those described from Terauds and Lee (2016). ACBR 1: North-east Antarctic Peninsula; ACBR 3: North-west Antarctic Peninsula; ACBR 4: Central South Antarctic Peninsula; ACBR 6: Dronning Maud Land; ACBR 7: East Antarctica; ACBR 8: North Victoria Land; ACBR 9: South Victoria Land; ACBR 10: Transantarctic Mountains; ACBR 12: Marie Byrd Land; ACBR 16: Prince Charles Mountains. AUI: ACBR unclassified islands. Table S3. Paramenters used in the dada2 function filterAndTrim() in each dataset. All the other options were set to default except for truncQ which was set to 0. Table S4. Number of reads at each step of the 16S rRNA gene processing pipeline for all datasets. *counts reported as read pairs. Table S5. Taxonomic relative abundance at phylum- (A), class- (B), order- (C) and family-level (D). Table S6. Relative abundance and taxonomy associated to genus dataset. Table S7. Analyses of variance (ANOVA) performed on bioclimatic variables, elevation and sample distance from coast/ocean. BIO1 (mean annual air temperature, °C), BIO2 (mean diurnal air temperature range, °C), BIO4 (temperature seasonality,°C), BIO5 (mean daily maximum air temperature of the warmest month, °C), BIO10 (mean daily mean air temperatures of the warmest quarter, °C), BIO12 (annual precipitation amount, kg m-2), BIO14 (precipitation amount of the driest month, kg m-2), BIO15 (precipitation seasonality, kg m-2), BIO17 (mean monthly precipitation amount of the driest quarter, kg m-2), BIO18 (mean monthly precipitation amount of the warmest quarter, kg m-2) and SWE (snow water equivalent, kg m-2). Table S8. Statistics from dbRDA (A-B) and variation partitioning (C-G). A and B only performed on bioclimatc varaibles selected by interactive dbRDA selection. Statistics from function varpart() with X1 as bioclimac dataset and X2 as geography (C) and individual statistical tests using anova.cca(): geography without controlling for environmental variables (D), environmental variables without controlling geography (E, geography alone (F) and environmental variables alone (G). Table S9. Indicator taxa across ACBRs and AUI at genus-level (LEfSe analysis based on Kruskal–Wallis p &lt; 0.01).