HR: 1400h
AN: B13B-03    [Abstracts]
TI: Geochemical Interactions and Viral-Prokaryote Relationships in Freshwater Environments
AU: * Kyle, J E
EM: jennifer.kyle@utoronto.ca
AF: University of Toronto, Department of Geology 22 Russell Street, Toronto, ON M5S3B1, Canada
AU: Ferris, G
EM: grant.ferris@utoronto.ca
AF: University of Toronto, Department of Geology 22 Russell Street, Toronto, ON M5S3B1, Canada
AB: Viral and prokaryotic abundances were surveyed throughout southern Ontario aquatic habitats to determine relationships with geochemical parameters in the natural environment. Surface water samples were collected from acid mine drainage in summer of 2007 and 2008 and from circum-neutral pH environments in October to November 2008. Site determination was based on collecting samples from various aquatic habitats (acid mine drainage, lakes, rivers, tributaries, wetlands) with differing bedrock geology (limestone and shale dominated vs granitic Canadian Shield) to obtain a range of geochemical conditions. At each site, measurements of temperature, pH, and Eh were conducted. Samples collected for microbial counts and electron imaging were preserved to a final concentration of 2.5 % (v/v) glutaraldehyde. Additional sample were filtered into 60 mL nalgene bottles and amber EPA certified 40 mL glass vials to determine chemical constituents and dissolved organic carbon (DOC), respectively. Water was also collected to determine additional physiochemical parameters (dissolved total iron, ferric iron, nitrate, sulfate, phosphate, alkalinity, and turbidity). All samples were stored at 4 °C until analysis. Viral and prokaryotic abundance was determined by staining samples with SYBR Green I and examining with a epifluorescence microscope under blue excitation. Multiple regression analysis using stepwise backwards regression and general linear models revealed that viral abundance was the most influential predictor of prokaryotic abundance. Additional predictors include pH, sulfate, phosphate, and magnesium. The strength of the model was very strong with 90 % of the variability explained (R² = 0.90, p < 0.007). This is the first report, to our knowledge, of viruses exhibiting such strong controls over prokaryotic abundance in the natural environment. All relationships are positively correlated with the exception of Mg, which is negatively correlated. Iron was also noted as a contributor to prokaryotic abundance but given the elements strong multicollinearity with sulfate, iron was removed from the model (as sulfate acts more conservatively across the range of pH sampled, 2.5-9.0). Geochemical variables that have been reported to influence viral abundances under laboratory and field experiments (i.e. Ca²⁺, DOC, temperature) had minimal effect in the natural environment despite 2 to 3 orders of magnitude range in the data. However, log transformed viral abundance did revealed a significant relationship with pH (Pearson correlation coefficient of r = 0.70) when using principle component analysis. Prokaryotic abundance did not reveal significant correlations with geochemical parameters (all r < 0.38).
DE: 0448 Geomicrobiology
DE: 0456 Life in extreme environments
DE: 0465 Microbiology: ecology, physiology and genomics (4840)
DE: 0498 General or miscellaneous
SC: Biogeosciences [B]
MN: 2009 Joint Assembly