Identifying ecological processes driving vertical and horizontal archaeal community assemblages in a contaminated...

Understanding environmental factors driving ecological processes of archaeal communities in heavily contaminated rivers is crucial for improvements in river ecological monitoring and indication. However, succession mechanisms underlying vertical and horizontal archaeal community assemblages in contaminated rivers remains largely unstudied. Here, to investigate ecological processes controlling archaeal community succession in a contaminated urban river, multivariate statistics approaches were applied to fields samples collected from locations representing vertical and horizontal assemblages of archaeal community. Our results revealed that archaeal community in the river showed distinct vertical and horizontal distribution patterns and the differences between water and sediment samples were most significant. Beta-diversity patterns in the vertical and horizontal assemblages are both almost completely caused by species replacement between sampling points (horizontal β_SIM = 0.60 ± 0.09, β_NES = 0.09 ± 0.05; vertical β_SIM = 0.40 ± 0.07, β_NES = 0.10 ± 0.06). Considering phylogenetic turnover deviation, homogenizing dispersal was the most crucial process dominating archaeal community assemblages in water samples while main ecological process in sediment samples was variable selection. Euryarchaeota and Thaumarchaeota were found to prefer high-nutrients and low-nutrients environments, respectively. Analysis of environmental drivers of archaeal phyla distribution and community assemblages indicated that nutrients played a decisive role in driving the sediment archaeal community. Dissolved oxygen (DO) explained the most variation in phylogenetic turnover deviation within all water archaeal community while oxidation reduction potential (ORP) contributed most for horizontal sediment archaeal community assemblages. These findings help to indicate the pollution situation of the river and provide information to predict how archaeal communities would respond to different environmental variations.