CC-BY-NC-ND 4.0 International license not peer-reviewed) is the author/funder. It is made available under aThe copyright holder for this preprint (which was . http://dx.doi.org/10.1101/247759 doi: bioRxiv preprint first posted online Jan. 15, 2018; 2 relative abundance (11.2 and 11.1 %) and prevalence (74.2 and 62.9 % 36 respectively) across physicochemical spectrums of 13.9 -100.6 °C and pH < 1 37 -9.7. This study provides an unprecedented insight into the ecological 38 conditions that drive community assembly in geothermal springs, and can be implicated temperature 8,13,14 , pH 15 , and seasonality 16 as the primary drivers of 60 community diversity in these ecosystems; with niche specialisation observed within 61 both local and regional populations 17,18 . The neutral action of microbial dispersal is 62 also thought to be a significant driver behind the distribution of microorganisms 23 , 63 with endemism and allopatric speciation reported in intercontinental hotsprings 21,22 . It 64 is important to note that significant community differences have been found between 65 aqueous and soil/sediment samples from the same springs 13,15,23 (Fig. 1). Samples included representatives of 122 both extreme pH (< 0 -9.7) and temperature (13.9 -100.6 °C) ( Supplementary Fig. 123 1). Supplementary Fig. 3), while further multiple regression analysis showed It has been previously hypothesised that pH has significant influence on microbial 158 community composition because changes in proton gradients will drastically alter 159 nutrient availability, metal solubility, or organic carbon characteristics 12 . Similarly, 160 acidic pH will also reduce the number of taxa observed due to the low number that 161 can physiologically tolerate these conditions. Here, we demonstrate that pH had the 162 most significant effect on diversity across all springs measured, but due to our high 163 sampling frequency, we see this influence reduced above 70 °C (Fig. 2). Inversely, suggesting temperature has a more profound effect on this domain than bacteria.
187However, the primers used in this study are known to be unfavourable towards some Supplementary Fig. 7).
217The extent of measured physicochemical properties across 925 individual habitats, Supplementary Fig. 9).ND 4.0 International license not peer-reviewed) is the author/funder. It is made available under a The copyright holder for this preprint (which was . http://dx.doi.org/10.1101/247759 doi: bioRxiv preprint first posted online Jan. 15, 2018
249Further, characteristic geochemical signatures from these fields were identified and 250 analysis suggests they could be predictive of community composition. For example, 251 the Rotokawa and Waikite geothermal fields (approx. 35 km apart) (Fig. 3N & 3F (Supplementary Fig. 8). Of the 19 most abundant proteobacterial genera 275 (average relative abundance > 0.1 %), the majority are characterised as aerobic 276 chemolithoautotrophs, utilising either sulfur species and/or hydrogen for metabolism. was also the most pr...