Abstracts
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254 - Microbial community characterization at bioremediation<br />
sites using next generation sequencing<br />
Philip Dennis, Ximena Druar, & Peter Dollar<br />
SiREM, Guelph, Ontario, Canada<br />
Kirill Krivushin, Line Lomheim, & Elizabeth Edwards<br />
Department of Chemical Engineering – University of Toronto, Toronto, Ontario, Canada<br />
Next generation sequencing (NGS) is increasingly used to provide detailed microbial<br />
community characterization in public health, medical, wastewater treatment, industrial<br />
fermentation and resource extraction scenarios. The growing affordability of NGS now<br />
makes this technology practical for bioremediation monitoring and performance assessment.<br />
While NGS protocols are robust, the ability to analyze and interpret results in a<br />
meaningful way requires ongoing use and observations at a variety of remediation sites to<br />
better understand the benefits, and limitations, of NGS approaches.<br />
In this study, NGS using a 454 pyrotag platform and primers targeting 16S rRNA genes,<br />
were employed to characterize eubacteria and archaea from five geographically distinct<br />
chlorinated solvent bioremediation sites in Ontario (ON), Oregon (OR), Alaska (AK)<br />
Kansas (KS) and Florida (FL). All sites were bioaugmented and at various stages of remediation<br />
and had varying geochemistry and contaminant profiles. Archived genomic<br />
DNA samples spanning several years were used for the analyses. The resulting sequences<br />
were analyzed using cluster analysis, to compare the microbial communities over time and<br />
between sites and non-metric multidimensional scaling (NMDS) to provide correlations<br />
with geochemical parameters.<br />
NGS returned an average of 8,000 reads per sample, providing detailed microbial community<br />
profiles. Cluster analysis indicated that samples generally grouped together by site<br />
suggesting geographic uniqueness of microbial community structure across these diverse<br />
sites. Based on the number of operational taxonomic units (OTUs) the AK site had the<br />
lowest apparent microbial diversity and the FL site had the highest. Furthermore, cluster<br />
analysis indicated that microbial community at the FL site evolved to become the most<br />
similar to the bioaugmentation culture injected at the site (KB-1) and may indicate that<br />
the FL site was most compatible with bioremediation in general. Observations of OTU<br />
frequency indicated that changes in the abundance of individual microorganisms were significant,<br />
and could be correlated to specific changes in site geochemistry such as oxidation<br />
reduction potential, and metabolic processes such as toxicity, methanogenesis, sulfate reduction<br />
and methanotrophy. It would appear that NGS has great potential to increase our<br />
understanding of microbial communities in bioremediation systems and may find uses in<br />
site monitoring, diagnosis of problematic sites, remediation optimization and monitoring<br />
ecological recovery of aquifers. The technology’s usefulness will undoubtedly increase in<br />
tandem with our ability to meaningfully interpret NGS results.<br />
142 IAH-CNC 2015 WATERLOO CONFERENCE