<p>The food-borne pathogen, <em>Listeria monocytogenes</em>, is a global health concern as it has been responsible for multiple food contamination outbreaks over the past century. Current detection methods like the enzyme-linked immunoassays (ELISA), and polymerase chain reaction (PCR) take over 24 h to attain results, are costly, require specialized equipment and trained personnel. In this study we investigated the use of functional nucleic acid (FNA) to develop a rapid and cost-effective detection method for <em>L. monocytogenes</em>. We carried out in<em> vitro</em> selection in order to isolate a fluorescently labeled DNA-RNA hybrid strand that can be bound and cleaved by specific endoribonucleases (RNase) from <em>L. monocytogenes</em>. We termed these DNA-RNA hybrid strands RNase-cleaved fluorescent substrate (RFS). Since no past studies have isolated RNases from <em>L. monocytogenes</em>, we first identified the genes based on sequence similarities with well characterized RNases. We purified and characterized RNase HII, RNase III and RNase G. Since this study focused primarily on developing RFS for RNase HII, we performed an in depth <em>in vitro</em> biochemical analysis to characterize this enzyme. We found that RNase HII from <em>L. monocytogenes</em> plays an important role in DNA replication and repair. Furthermore, we obtained six sequence classes by <em>in vitro</em> selection which could interact with RNase HII. The key nucleotide regions involved with RNase HII interactions were identified. In the final study, we showed the sequences isolated by <em>in vitro</em> selection could also be used as a tool to study ribonuclease function and identify new interaction between enzyme and substrate.</p> / Master of Science (MSc)
| Identifer | oai:union.ndltd.org:mcmaster.ca/oai:macsphere.mcmaster.ca:11375/15256 |
| Date | 19 August 2014 |
| Creators | Kanda, Pushpinder S. |
| Contributors | Li, Yingfu, Guarné, Alba, Burrows, Lori, Biochemistry and Biomedical Sciences |
| Source Sets | McMaster University |
| Detected Language | English |
| Type | thesis |
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