Presentation Title

Analysis of the Metagenomic and Phylogenetic Relationships of Hot Spring Diversity Using 16S rRNA Sequencing on Microbes in the Ainsworth and Nakusp Hot Springs of the Kootenays (Canada)

Format of Presentation

Poster to be presented Friday March 31, 2017

Abstract

The aim of this study was to conduct a metagenomic analysis of microbes for two hot springs located in the Kootenay region of British Columbia, Canada: the Ainsworth and Nakusp Hot Springs. This was carried out using the 16S rRNA gene sequence. Once amplified and sequenced, these segments were aligned against multiple databases to identify the microbes present to at least the phyla taxonomical level. This resulted in Proteobacteria and Thaumarchaeota to be the most abundant bacterial and archaeal phyla present, respectively. Additional analysis allowed for complete microbial diversity to be looked at.

Further analysis was conducted using the 16S rRNA gene sequences: evolutionary relationships between microbes in the form of a constructed phylogenetic trees. This was carried out using MEGA (Molecular Evolutionary Genetics Analysis); using maximum likelihood statistics and bootstrap tests, a phylogenetic tree for the phyla of each hot spring was constructed. This preliminary study provides a platform for further analyses of these hot springs and their microbial distributions.

Department

Biological Sciences

Faculty Advisor

Nathan Bialas

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Analysis of the Metagenomic and Phylogenetic Relationships of Hot Spring Diversity Using 16S rRNA Sequencing on Microbes in the Ainsworth and Nakusp Hot Springs of the Kootenays (Canada)

The aim of this study was to conduct a metagenomic analysis of microbes for two hot springs located in the Kootenay region of British Columbia, Canada: the Ainsworth and Nakusp Hot Springs. This was carried out using the 16S rRNA gene sequence. Once amplified and sequenced, these segments were aligned against multiple databases to identify the microbes present to at least the phyla taxonomical level. This resulted in Proteobacteria and Thaumarchaeota to be the most abundant bacterial and archaeal phyla present, respectively. Additional analysis allowed for complete microbial diversity to be looked at.

Further analysis was conducted using the 16S rRNA gene sequences: evolutionary relationships between microbes in the form of a constructed phylogenetic trees. This was carried out using MEGA (Molecular Evolutionary Genetics Analysis); using maximum likelihood statistics and bootstrap tests, a phylogenetic tree for the phyla of each hot spring was constructed. This preliminary study provides a platform for further analyses of these hot springs and their microbial distributions.