| Summary: | 碩士 === 國立中正大學 === 應用地球物理研究所 === 101 === Salmonella is a ubiquitous enteric pathogen with a worldwide distribution that comprises a large number of serovars which characterized by displaying different host specificities. Most of salmonella strains that are resistant to a great variety of antibiotics have become a major public health concern. In this study, we detected Salmonella in Puzih stream and Kaupin River by polymerase chain reaction (PCR)
and identified the serovar of Salmonella by pulsed-field gel electrophoresis (PFGE), multiplex PCR (mPCR) and multilocus sequence typing (MLST). In addition, we used PCR and Disk Diffusion Method to evaluate the antibiotic resistance and the resistant genes of Salmonella. The fifty-four Salmonella isolates from culture method were further identified as S. Typhimurium, S. Bareilly, S. Albany, S. Newport et al. by serological identification, PFGE and MLST. We also used five house-keeping genes (aroC, dnaN, hemD, hisD, purE) to analyze Salmonella isolates. The results show that the prediction of eleven Salmonella serovars by PFGE and MLST with similar resolution. For antibiotic resistance of Salmonella, the results show that the highest percentage of resistance was found as following antimicrobial agents: sulfadiazine (37%), chloramphenicol (31.5%), ampicillin (31.5%), tetracycline (33.3%), nalidixic acid (33.3%) and streptomycin (29.6%). Most of which were resistant to one or more of tested antibiotics. Furthermore, multiple antimicrobial resistant was observed in thirty isolates (55.6%). We also found eleven different patterns of resistance in Salmonella isolates. The most frequent of antimicrobial resistance phenotype about multiple antimicrobial resistant were ampicillin, chloramphenicol, sulfadiazine, tetracycline, and nalidixic acid. We also found class 1 integron carrying multi-drug resistance in Salmonella isolates. The results showed the serious situation ofmulti-drug resistant about different serotypes of Salmonella in Taiwan we suggest to continuously monitor the changes of resistance trends in the environment.
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