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Title: | Hi-C pipeline development for linking resistome and mobilome to the microbiome of wastewater samples |
Author: | Calderón Franco, David |
Tutor: | Paytuví Gallart, Andreu |
Others: | Prados Carrasco, Ferran |
Abstract: | Wastewater treatment plants are the responsible for treating and sanitizing water from different sources by physical, chemical and biological processes. One of the public concerns is the spread of engineered DNA and proliferation of antibiotic resistances released caused by transgenic microorganisms. Hotspots, such as wastewater samples, are composed by a large, complex microbial communities that, under certain environmental factors, are capable of taking up free genetic fragments or exchange DNA between them. Uptake of DNA by microorganisms could generate the well-known superbugs or microorganisms resistant to two or more antibiotics. Hi-C sequencing allows 3D-conformational linkage between genetic elements. Thus, giving the possibility to link which antibiotic resistance genes (ARGs) and mobile genetic elements (MGE) from complex communities, such as activated sludge, are enclosed inside which specific microorganisms. In this master thesis, an already published Hi-C dataset from activated sludge has been used to develop and test the pipeline. The bioinformatic analysis has consisted on developing and publishing (GitHub: https://github.com/davidcalfran/Linking-Hi-C-to-metagenome-data-pipeline) a pipeline in order to quantify the interactions between specific microbial clusters and contigs containing hits for ARGs, plasmids and integrons. Results have shown that there are specific microorganisms' families that have a bigger predisposition to uptake or exchange ARGs and MGEs, specifically microorganisms from the Aeromonadaceaee, Neisseriaceae and Moraxellaceae families, which corresponded to the microorganisms selected as hosts in the reference study. Hi-C results obtained with this pipeline does still follow the same trend as the reference study even if improvements must be performed in order to magnify the host:target gene resolution. |
Keywords: | microbiome Hi-C sequencing metagenomics wastewater |
Document type: | info:eu-repo/semantics/masterThesis |
Issue Date: | 24-Jun-2020 |
Publication license: | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
Appears in Collections: | Trabajos finales de carrera, trabajos de investigación, etc. |
Files in This Item:
File | Description | Size | Format | |
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davidcalfranTFM0620memoria.pdf | TFM memory | 3 MB | Adobe PDF | View/Open |
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