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Doctor of Philosophy / Department of Diagnostic Medicine/Pathobiology / Sanjeev Narayanan / Antimicrobial resistance (AMR) has arisen as one of the most important public health concerns in the last 60 years. AMR results from pathogenic strains of bacteria adapting to antimicrobial-containing environments through mutations or through horizontal gene transfer (HGT) of genetic material containing resistance genes. Conjugation machinery offers an efficient method for acquisition of AMR and virulence genes, which may be responsible for propelling the evolution of pathogenic bacteria. This dissertation explores the factors, specifically catecholamines and antimicrobials that influence the conjugation frequencies of enteric bacteria including Salmonella, E. coli and Enterococcus. We found that the catecholamine norepinephrine (NE) at physiological concentrations enhanced conjugation efficiencies of a conjugative plasmid from a clinical strain of Salmonella Typhimurium to an E. coli recipient in vitro. Additional experiments determined the influence of the antimicrobial concentrations above, equal to and below the minimum inhibitory concentration (MIC) under in vitro conditions on conjugation efficiencies using an Enterococcus to Enterococcus mating pair in addition to the Salmonella to E. coli mating pair. Conjugation occurred in all concentrations, but efficiencies of transfer were consistently low in 0 MIC and 1 MIC, with increased activity both above and below 1 MIC. These data were fit to a previously described mathematical model and the rate constant E that relates the rate of gene transfer to drug concentration was determined. The data showed highly similar patterns of conjugation efficiencies when compared to the rate constant E. A final study we measured conjugation frequencies when donor Salmonella Typhimurium and the E. coli recipient were exposed to both variable concentrations of oxytetracycline and NE. Conjugation was increased pre- and post- MIC, but conjugation frequencies were not enhanced further by the combination of the oxytetracycline and the NE. This dissertation defines the role of outside factors in conjugative gene transfer, and may provide future insight into better control of AMR.

Der Gen-Knockdown mittels RNAi hat sich als essentiell erwiesen, um Inhibitoren der induzierten Transdifferenzierung in C. elegans zu identifizieren (Tursun et al., 2011). Bakterienstämme, die dsRNA exprimieren, das die Expression spezifischer Gene mindert, können dem Wurm direkt zugefüttert werden, um einen genomweiten RNAi-screen der insgesamt 20.000 Gene in C. elegans durchzuführen. Allerdings werden die meisten biologischen Prozese durch mehr als ein Gen reguliert, was den Bedarf nach einer Methode generiert, die es erlaubt, zwei oder mehr Gene gleichzeitig herunter zu regulieren, um die Steuerung biologischer Prozesse studieren zu können. Die derzeitig vorhandenen Methoden liefern entweder nicht reproduzierbare Ergebnisse oder sind nicht skalierbar. Wir nutzen baktierelle Konjugation, die es durch ein konjugatives Plasmid ermöglicht Bakterienzellen zu generieren, die zwei verschiedene RNAi-Plasmide enthalten. Das Ziel war es, modifizierte RNAi-Donor-Plasmide mittels bakterieller Konjugation an eine Vielzahl anderer Bakterienzellen zu übertragen, die bereits ein anderes RNAi-Plasmid enthalten und dies dann im Hochdurchsatzverfahren durchführen zu können. Um Enhancer induzierter Expression von unc-25::gfp in der Keimbahn, ermöglicht durch den Knockdown des Histonchaperons LIN-53 (RbAp46/48 in Menschen), zu finden, wurden RNAi-Klone generiert, die gleichzeitig lin-53 als auch eines von insgesamt 800 verschiedenen Chromatin-bezogenen Gene herunter regulieren. Dabei identifizierten wir RBBP-5, Mitglied des Set1/ MLL-Methyltransferase-Komplexes, als neuen Barrierefaktor der induzierten Transdifferenzierung. RBBP-5 agiert dabei mutmaßlich parallel zu LIN-53. Doppelte RNAi, ermöglicht durch bakterielle Konjugation, erlaubt den simultanen Knockdown zweier oder mehr Gene, um genetische Interaktionen studieren zu können und erweitert damit die Einsatzmöglichkeiten von RNAi-Screens, um untereinander verbundene biologische Prozesse zu studieren. / The knock down of genes by RNAi has been fundamental to identify inhibitors of induced cell transdifferentiation in C. elegans (Tursun et al., 2011). Bacteria strains expressing dsRNA that target specific genes can be fed to the worm allowing straightforward whole-genome RNAi screens of the 20,000 genes in theC. elegans genome. However, many biological processes are regulated by more than one gene raising the need for simultaneous knock down of two or more genes to more fully interrogate the regulation of complex biological processes. Two approaches are currently available for double RNAi knockdown, − two bacteria strains expressing specific dsRNA can be mixed and grown together and fed simultaneously, which gives highly variable results. Alternatively, a new bacterial clone can be generated carrying a plasmid on which two RNAi targets of interest are 'stitched' together, which is not scalable. To address this challenge, we have developed a protocol using bacterial conjugation mediated by the 'Fertility Factor' (F) Episome in order to combine two different RNAi plasmids in a single bacterium. The objective was to be able to transfer a single RNAi plasmid to a large number of bacterial cells carrying different RNAi clones in one step in a high-throughput manner for large scale 'double' or even 'triple' RNAi screens. To find enhancers of induced unc-25::gfp expression in the germ line enabled by the depletion of histone chaperone LIN-53 (RbAp46/48 in humans), double RNAi clones targeting lin-53 and a total of 800 chromatin-related genes were generated and screened. We identified the Set1/MLL methyltransferase complex member RBBP-5 as a novel reprogramming barrier that putatively acts in a parallel pathway to LIN-53. Double RNAi by conjugation permits to reliably knock down two genes simultaneously in order to study genetic interactions at a genome-wide level, thus further increasing the versatility of RNAi screens to investigate interconnected biological processes.