35Horizontal gene transfer, mediated by conjugative plasmids, is one of the main drivers of the 36 global spread of antibiotic resistance. However, the relative contributions of different factors 37 that underlie this plasmid spread are unclear, particularly for clinically relevant plasmids 38 harboring antibiotic resistance genes. Here, we analyze nosocomial outbreak-associated 39 plasmids that reflect the most relevant Extended Spectrum Beta-Lactamase (ESBL) mediated 40 drug resistance plasmids to i) quantify conjugative transfer dynamics, and ii) investigate why 41 some plasmid-strain associations are more successful than others, in terms of bacterial fitness 42 and plasmid spread. We show that, in the absence of antibiotics, clinical Escherichia coli 43 strains natively associated with ESBL-plasmids conjugate efficiently with three distinct E. coli 44 strains and one Salmonella enterica Serovar Typhimurium strain. In more than 40% of the in 45 vitro mating populations, ESBL-plasmids were transferred to recipients, reaching final 46 transconjugant frequencies of up to 1% within 23 hours. Variation of final transconjugant 47 Antibiotic resistance is a major obstacle to the treatment of bacterial infections in clinics. 58Plasmids encoding antibiotic resistance genes can spread between bacteria in a density-59 dependent manner and accelerate the rise of resistant bacterial strains. This is particularly 60 important for densely inhabited ecological niches such as the guts of humans and animals, 61 where many bacteria interact. Understanding the exact contribution plasmids make to the 62 global spread of antibiotic resistance remains an obstacle, because we lack quantitative 63 studies implementing large-scale experimental testing of conjugation rates between clinically 64 relevant bacterial strains. To counteract this knowledge gap, we studied clinical Escherichia 65 coli isolates from human patients that carry extended-spectrum beta-lactamase producing 66 plasmids. We found that these plasmids spread extensively through different bacterial 67 populations and that both bacterial-and plasmid-specific factors determined the extent of 68 plasmid spread. Our study combines detailed bioinformatic analyses, high-throughput in vitro 69 testing and validation in an animal model. It suggests a potential for laboratory testing to 70 understand and predict the spread of clinically relevant plasmids, including in the human gut 71 microbiota, and thereby generates insights into novel treatment strategies to manage 72 antibiotic resistance spread mediated by plasmids. 73 the clinical use of antibiotics [1]. Infections with bacteria resistant to antibiotics are 76 increasingly common and can result in death [2,3]. Importantly, resistance determinants are 77 often plasmid-encoded. Plasmids can be transferred horizontally between different bacterial 78 cells by conjugation, allowing rapid spread through diverse bacterial communities. This 79 includes transfer among and between clinically relevant bacterial pathogens and commensals...