dc.contributor.advisor | Naser, Iftekhar Bin | |
dc.contributor.advisor | Hossain, Mohammad Enayet | |
dc.contributor.author | Sarwar, Subyeta Binte | |
dc.date.accessioned | 2024-09-10T09:50:55Z | |
dc.date.available | 2024-09-10T09:50:55Z | |
dc.date.copyright | ©2023 | |
dc.date.issued | 2023-08 | |
dc.identifier.other | ID 22276014 | |
dc.identifier.uri | http://hdl.handle.net/10361/24046 | |
dc.description | This thesis submitted to the Department of Mathematics and Natural Sciences in partial fulfillment of the requirements for the degree of Master of Science in Biotechnology, 2023. | en_US |
dc.description | Cataloged from PDF version of thesis. | |
dc.description | Includes bibliographical references (pages 55-60). | |
dc.description.abstract | Coronavirus Disease 2019 (COVID-19), an infectious respiratory disease caused by the viral
strain, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has become a distinct
cause of the global burden and a rising concern to global public health. It has single-handedly
destroyed economies of every country it has affected. Despite the policy makers trying to tackle
this virus, SARS-CoV-2 having a rapid mutation rate makes it difficult to monitor and create
effective therapeutics to completely avoid fatalities. Since the only way to detect presence of
COVID-19 and circulating strain was by testing every individual, it was a tedious and very
inefficient method as it required a significant amount of time.
This study aims to provide an alternate method of detecting the genetic diversity of SARS-CoV-2
and the strain currently circulating in an area by wastewater monitoring. Collecting samples from
community wastewater as well as hospital discharge is faster and does not require testing hundreds
of individual. This method provides an understanding of the strains currently present in a selected
area as the virus is present in fecal discharge of affected individuals.
We carried out RNA extraction of over 300 samples and selected the samples with positive RT
PCR values and performed whole genome sequencing using Oxford Nanopore Technology. The
sequences were then analyzed and the data were compared. It was seen that the most abundant
variant of Omicron was of clades XBB and XBB.1 with majority of the mutations taking place in
the Non-Structural Proteins and Spike Proteins of the virus, these are responsible for the cell
attachments and play a key role in pathogenesis of the virus. This study further helps in
understanding how despite mass vaccination against COVID-19, this virus seems to be present in
significant concentrations in the community. | en_US |
dc.description.statementofresponsibility | Subyeta Binte Sarwar | |
dc.format.extent | 61 pages | |
dc.language.iso | en | en_US |
dc.publisher | Brac University | |
dc.rights | Brac University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. | |
dc.subject | SARS-CoV-2 | en_US |
dc.subject | COVID-19 | en_US |
dc.subject | Genetic diversity | en_US |
dc.subject | Wastewater | en_US |
dc.subject.lcsh | SARS-CoV-2--genetics. | |
dc.subject.lcsh | COVID-19--Transmission. | |
dc.title | Detection of genetic diversity of SARS-CoV-2 in wastewater to monitor COVID-19 transmission | en_US |
dc.type | Thesis | en_US |
dc.contributor.department | Department of Mathematics and Natural Sciences, Brac University. | |
dc.description.degree | M. Biotechnology | |