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. 2014 Mar 17;9(3):e92139. doi: 10.1371/journal.pone.0092139

Table 1. Classification and overall patterns of Aminicenantes relative abundance in various habitats and sub-habitats1.

Dataset type Total datasets Datasets with Aminicenantes (%) Average Aminicenantes abundance (%) Maximum relative abundance
Total datasets 3,141 918 (29.22%) 0.20%2 10.20%
Total 16S rRNA sequences 1,820,857,401 47,315 0.0026%
Marine datasets 1,154 248 (21.50%) 0.28% 5.28%
Deep marine sediments 32 30 0.50% 2.89%
Coral associated microbiome 19 10 0.89% 4.67%
Pelagic 390 40 0.20% 2.46%
Hydrothermal vents 101 60 0.23% 5.28%
Coastal 612 107 0.20% 1.87%
Aquatic non-marine datasets 1,665 645 (38.74%) 0.15% 10.20%
Spring and ground water 25 10 2.80% 10.20%
Temperate freshwater 1569 587 0.11% 2.50%
Salt marshes 71 48 0.03% 0.67%
Soil datasets 276 14 (5.072%) 0.07% 0.80%
Agriculture 28 2 0.03% 0.06%
Grassland 140 10 0.00% 0.00%
Heavy metal/hydrocarbon contaminated 8 1 0.00% 0.01%
Arid and Semi-arid 46 0 0% 0%
Permafrost 54 1 0.01% 0.01%
Hydrocarbon-impacted datasets 14 10 (71.43%) 0.32% 0.95%
Herbivorous gut and other datasets3 32 1 (3.125%) 0.02% 0.02%
1

A detailed description of every dataset is provided as supplementary material (Table S1 in File S1).

2

Average abundance values in datasets where Aminicenantes sequences were identified.

3

26 Datasets were designated “other”; these datasets originated from dust, air and animal associated habitat. See Supplementary Table S1 in File S1 for details.