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http://hdl.handle.net/11375/27336
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DC Field | Value | Language |
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dc.contributor.advisor | Schellhorn, Herb | - |
dc.contributor.author | DeVries, Jacob | - |
dc.date.accessioned | 2022-01-31T15:41:01Z | - |
dc.date.available | 2022-01-31T15:41:01Z | - |
dc.date.issued | 2021 | - |
dc.identifier.uri | http://hdl.handle.net/11375/27336 | - |
dc.description | A Thesis Submitted to the School of Graduate Studies in Partial Fulfilment of the Requirements for the Degree of Master of Science. | en_US |
dc.description.abstract | Onsite wastewater treatment systems may be improved by altering the design and environmental variables that affect microbial community composition. However, the two most common methods of examining microbial composition through metagenomic sequencing (16S and shotgun sequencing) produce different taxonomic identification results according to microbial community composition and the analytical methods in use. To identify discrepancies between these two sequencing methods, we analyzed the effect of environmental and tank design variables on onsite-wastewater treatment system microbial communities sequenced using both 16S and shotgun sequencing. Shotgun and 16S sequencing produced different results when examining genera-level taxonomic richness, quantifying the effect of system design and environmental variables on community similarity, and identifying differentially abundant taxa between system types. Results were consistent when subjectively examining patterns of community similarity and when examining genera-level taxonomic diversity above 0.1% relative abundance. Identifying methods that produce similar results between 16S and shotgun sequencing supports the reliable analysis of and optimization of OWTS processes. | en_US |
dc.language.iso | en | en_US |
dc.subject | Bioinformatics | en_US |
dc.subject | Anaerobic Digestion | en_US |
dc.subject | Wastewater Treatment | en_US |
dc.subject | Biostatistics | en_US |
dc.title | Assessing the Relationships Between Onsite Wastewater Treatment System Microbial Communities, System Design, and Environmental Variables. | en_US |
dc.type | Thesis | en_US |
dc.contributor.department | Biology | en_US |
dc.description.degreetype | Thesis | en_US |
dc.description.degree | Master of Science (MSc) | en_US |
dc.description.layabstract | Onsite-wastewater treatments systems such as household septic tanks are vital tools for managing wastewater. However, the microbial ecosystem which digests waste within septic tanks contains unknown interactions that can alter the rate of waste digestion. We used two DNA sequencing methods to assess how microbial communities within septic tanks responded to the tank design and surrounding environment. We then compared results produced by the two sequencing methods. The response of microbial communities to tank design and the environment differed between the two methods. However, the two methods both indicated that one system design produced a more variable microbial community. | en_US |
Appears in Collections: | Open Access Dissertations and Theses |
Files in This Item:
File | Description | Size | Format | |
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DeVries_Jacob_S_finalsumbission202112_MSc.pdf | 1.04 MB | Adobe PDF | View/Open |
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