Abstract
Microbial water quality evaluations are essential for determining the vulnerability of subsurface drinking water sources to fecal pathogen intrusion. Rather than directly monitor waterborne pathogens using culture- or enumeration-based techniques, the potential of assessing bacterial community using 16S rRNA gene amplicon sequencing to support these evaluations was investigated. A framework for analyzing 16S rRNA gene amplicon sequencing results featuring negative-binomial generalized linear models is demonstrated, and applied to bacterial taxa sequences in purge water samples collected from a shallow, highly aerobic, unconfined aquifer. Bacterial taxa relevant as indicators of fecal source and surface connectivity were examined using this approach. Observed sequences of Escherichia, a genus suggestive of fecal source, were consistently detected but not confirmed by culture-based methods. On the other hand, episodic appearance of anaerobic taxa sequences in this highly aerobic environment, namely Clostridia and Bacteroides, warrants further investigation as potential indicators of fecal contamination. Betaproteobacteria sequences varied significantly on a seasonal basis, and therefore may be linked to understanding surface-water groundwater interactions at this site. However, sequences that are often encountered in surface water bodies (Cyanobacteria and Flavobacteriia) were notably absent or present at very low levels, suggesting that microbial transport from surface-derived sources may be rather limited. This work demonstrates the utility of 16S rRNA gene amplicon sequencing for contextualizing and complementing conventional microbial techniques, allowing for hypotheses about source and transport processes to be tested and refined.
| Original language | English |
|---|---|
| Article number | 140472 |
| Number of pages | 11 |
| Journal | Science of the Total Environment |
| Volume | 743 |
| DOIs | |
| Publication status | Published - 15 Nov 2020 |
Funding
Metagenom Bio Inc., performed the 16S rRNA gene sequencing. We thank Oxford County and Dr. Dave Rudolph for providing site access. We are also grateful to Dr. Kirsten Mueller (UW), Dr. Maria Mesquita (UW) and Dr. Ilias Lagkouvardos (Technische Universität München) for insightful discussions. Terry Ridgway, Mark Sobon, Benjamin J.M. Beelen, and Caitlin Wong are acknowledged for their help throughout the sampling campaigns. The authors also acknowledge the support of this research by the Regional Municipality of Waterloo and Alberta Innovates Grant No AI2385 .
Keywords
- 16S rRNA gene amplicon sequencing
- Bacterial community analysis
- Groundwater surface water interactions
- Microbial water quality
- Pathogen vulnerability
- Purge water sampling
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