Soil bacterial community and functional shifts in response to altered snowpack in moist acidic tundra of northern Alaska

• Published in: Soil 2016-01, Vol.2 (3), p.459-474
• Main Authors: Ricketts, Michael P, Poretsky, Rachel S, Welker, Jeffrey M, Gonzalez-Meler, Miquel A
• Format: Article
• Language: English
• Subjects: Abundance; Accumulation; Arctic zone; Bacteria; Carbon cycle; Chemical precipitation; Chemical properties; Chemicophysical properties; Climate change; Climate prediction; Community composition; Community structure; Decomposition; Deoxyribonucleic acid; DNA; Ecosystems; Enzyme kinetics; Extracellular; Genes; Ice environments; Insulating materials; Insulation; Microbial activity; Microorganisms; Mineralization; Nitrogen; Nucleotide sequence; Nutrients; Organic matter; Organic soils; Permafrost; pH effects; Phylogeny; Physical properties; Plant communities; Precipitation; Relative abundance; Respiration; rRNA 16S; Snow; Snow accumulation; Snowpack; Soil; Soil analysis; Soil characteristics; Soil chemistry; Soil microorganisms; Soil moisture; Soil organic matter; Soil physical properties; Soil properties; Soil structure; Soil temperature; Soils; Steel pipes; Structure-function relationships; Taiga & tundra; Temperature; Temperature effects; Tundra; Vegetation; Winter
• ISSN: 2199-398X; 2199-3971; 2199-398X; 2199-3971
• DOI: 10.5194/soil-2-459-2016

Soil microbial communities play a central role in the cycling of carbon (C) in Arctic tundra ecosystems, which contain a large portion of the global C pool. Climate change predictions for Arctic regions include increased temperature and precipitation (i.e. more snow), resulting in increased winter soil insulation, increased soil temperature and moisture, and shifting plant community composition. We utilized an 18-year snow fence study site designed to examine the effects of increased winter precipitation on Arctic tundra soil bacterial communities within the context of expected ecosystem response to climate change. Soil was collected from three pre-established treatment zones representing varying degrees of snow accumulation, where deep snow ∼ 100 % and intermediate snow ∼ 50 % increased snowpack relative to the control, and low snow ∼ 25 % decreased snowpack relative to the control. Soil physical properties (temperature, moisture, active layer thaw depth) were measured, and samples were analysed for C concentration, nitrogen (N) concentration, and pH. Soil microbial community DNA was extracted and the 16S rRNA gene was sequenced to reveal phylogenetic community differences between samples and determine how soil bacterial communities might respond (structurally and functionally) to changes in winter precipitation and soil chemistry. We analysed relative abundance changes of the six most abundant phyla (ranging from 82 to 96 % of total detected phyla per sample) and found four (Acidobacteria, Actinobacteria, Verrucomicrobia, and Chloroflexi) responded to deepened snow. All six phyla correlated with at least one of the soil chemical properties (% C, % N, C : N, pH); however, a single predictor was not identified, suggesting that each bacterial phylum responds differently to soil characteristics. Overall, bacterial community structure (beta diversity) was found to be associated with snow accumulation treatment and all soil chemical properties. Bacterial functional potential was inferred using ancestral state reconstruction to approximate functional gene abundance, revealing a decreased abundance of genes required for soil organic matter (SOM) decomposition in the organic layers of the deep snow accumulation zones. These results suggest that predicted climate change scenarios may result in altered soil bacterial community structure and function, and indicate a reduction in decomposition potential, alleviated temperature limitations on extracellular enzymatic e