Project description:Single-cell assembled genomes and cell enrichment metagenome-assembled genomes from PaintPots, Kootenay National Park, BC, Canada Genome sequencing and assembly
Project description:Groundwater samples were collected from five wells in Alberta, Canada. The sampling location and time are indicated in the table below. 13 to 29 genomes were assembled from each metagenome. Proteomic analyses were performed to investigate which genomes and genes were expressed in each well. Sample ID Location Latitude (NAD 83) Longitude (NAD 83) Sampling date 19GWC19026 218 Cluny 50.85 -112.84 30/07/2019 19GWC19028 114 Ross Creek 49.99 -110.46 31/07/2019 19GWC19045 265 Metiskow 52.42 -110.61 18/09/2019 19GWE00050 991 Cynthia 56.22 -117.81 04/09/2019 19GWE00515 33 Fort McMurray 56.98 -111.85 17/09/2019
Project description:<p>Understanding biogeochemical conversions of dissolved organic matter (DOM) in aquifers is paramount for the effective management of groundwater supplies. On its passage through the critical zone, DOM is subject to biogeochemical conversions and therefore carries cross-habitat information useful for monitoring and predicting the stability of groundwater ecosystem services. Groundwater metabolomics assesses this information. However, challenges arise from insufficient knowledge on groundwater metabolite composition and dynamics, and the necessity to maintain analytical conditions for long-term monitoring. We explored fractured sedimentary bedrock by 5-year untargeted metabolomics monitoring for oxic perched and anoxic phreatic sites along a hillslope recharge area, to evaluate DOM as groundwater tracer. Dimension reduction by principal component analysis revealed that metabolome dissimilarities between distant wells coincide with transient cross-stratal flow indicated by groundwater levels and environmental tracers. The metabolome was highly variable lacking seasonal patterns, and did not segregate by geographic location of sampling wells thus ruling out surface vegetation or (agricultura) land use as driving factor. The metabolome time series provide detailed insights into subsurface responses to recharge dynamics. Metabolomics monitoring provides information on groundwater flows, and allows concluding about below ground ecology and water quality evolution, required to understand the impact of interannual wet-dry cycles.</p>