Date of Completion
7-2020
Document Type
Thesis
Degree Name
Bachelor of Science in Biochemistry
Keywords
RNA, Ribosomal, 16S, Bacteria, Cell Phone, Computer Simulation
Abstract
This study was conducted to analyze the different bacteria present on electronic gadgets using published studies, sequence databases, phylogenetic analysis and to develop primers for faster detection of various bacterial species inhabiting the surfaces of the gadgets. The 16S rRNA genetic sequence of the chosen bacteria were downloaded from Genbank and a phylogenetic tree was constructed using the MEGA 6.0. Based on the results, Staphylococcus and Bacillus were the most dominant species while Pyrococcus woesei was the outgroup. Primers of selected bacterial species were constructed using Primer-BLAST application and the best primer pair was selected based on the parameters of primers. These primers can be used by further researchers for faster detection of selected bacterial species. In addition, identification of common primer sets among bacteria of different genus could create an even faster approach of nosocomial agent identification. The data acquired from this research and other similar researches can be consolidated to create a universal antibiotic affecting varying bacterial species thereby inhibiting their growth
First Advisor
April O. Bermejo
APA Citation
Tomas, B. S., & Senga, V. (2020, July). In silico diversity analysis of the 16S rRNA gene of the bacteria isolated from mobile phones and development of SNP primers for predominant bacterial species. [Bachelor's thesis, De La Salle Medical and Health Sciences Institute]. GreenPrints. https://greenprints.dlshsi.edu.ph/bch/15/