Publication Date
Spring 2021
Degree Type
Master's Project
Degree Name
Master of Science in Bioinformatics (MSBI)
Department
Computer Science
First Advisor
Wendy Lee
Abstract
The existential threat of emerging antibiotic resistance in microbial communities poses significant risks to public health. In particular, wastewater can serve as a point of confluence for pharmaceuticals and antibiotic-resistant bacteria from urban and agricultural settings. While this is a prime environment for genetic drift and horizontal transfer of antibiotic resistance genes (ARGs) and mobile genetic elements, it also presents an opportunity for resistome monitoring via shotgun metagenomic sequencing and downstream analysis. This project reports the application of a hybrid assembly approach for the detection of ARGs within DNA derived from a wastewater sample collected from the San José-Santa Clara Regional Wastewater Facility, which serves a significant portion of the San Francisco Bay Area. Hybrid assembly (with polishing) of Nanopore-derived long reads and Illumina-derived short reads resulted in detection of additional ARGs compared to a previously-performed short-read-based approach.
Recommended Citation
Le, Alan Caparaz, "Detection of Antibiotic Resistance Genes in the Wastewater Microbial Metagenome" (2021). Master's Projects. 1026.
DOI: https://doi.org/10.31979/etd.pxra-x689
https://scholarworks.sjsu.edu/etd_projects/1026
