Changes in the Functional Potential of Diverse and Active Bacterial Communities in Arctic Deep-Sea Sediments along a Water Depth Gradient

The deep sea covers approximately 70% of the Earth’s surface and the majority of its seafloor is composed of fine-grained sediments. Bacteria are the dominant organisms in these sediments, accounting for up to 90% of total benthic biomass. Although benthic bacterial communities are assumed to play a central role in biogeochemical cycling at the seafloor, we still have very limited knowledge of their diversity, activity and ecological functions. We sampled Arctic deep-sea surface sediments from seven stations along a gradient from 1000 m to 5500 m water depth at the long-term ecological research station HAUSGARTEN in Fram Strait. Bacterial cell numbers decreased with depth from 3.8*10⁸ to 1.3*10⁸ cells per ml sediment. Illumina 16S rRNA gene surveys based on DNA and cDNA revealed substantial shifts in the structure of the total and active bacterial community along this gradient, which could be linked to environmental parameters, especially organic matter availability. The functional potential and actual activity of microbial communities was investigated using meta-genomic and -transcriptomic sequencing of four representative samples. Reconstruction of 16S rRNA genes from metagenomic data indicated a stronger contribution of certain groups at 1200-2500 m depth (e.g. OM190, Planctomycetacia, Betaproteobacteria) as compared to 3500-5500 m depth (e.g. SAR202 clade, Subgroup 22, Cytophagia). Analysis of orthologous gene clusters and protein families suggested that the genetic potential of microbial communities at the deepest station varied from that of communities at shallower depth, with higher representation of genes involved in the TCA cycle and in the biosynthesis of fatty acids, amino acids and vitamin biosynthesis at the deepest station. The observed variations may result from the accumulation of organic matter at the deepest station caused by the funnel-like topography at this site. The research contributes to European Research Council Advanced Investigator grant no. 294757.