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Escherichia coli is a Gram-negative bacterium, the second most common bacteria in the intestine and the main indicator of urban water pollution, is the most common cause of urinary tract infection and also is one of the main factors in food poisoning and diarrhea. Drug resistance of this bacterium to antibiotics is a global challenge. Horizontal gene transfer (HGT) is the movement of genetic material between unicellular and other gene transfer pathways which is an important factor in the evolution of many organisms, antibiotic resistance in bacteria, gene function. Antibiotic resistance in E. coli can be transferred to another species of bacteria through HGT mechanisms. Today, Bioinformatics methods have been used to understand of gene transfer from HGT mechanism. In this study, we used bioinformatics tools such as PredictBias, ACLAME, Mobil Genetic Elements (MGEs) PAI-ID, and Alien_Hunter in order to genes analysis that related from antibiotic resistance in E. coli. Bioinformatics and MIC assays result show that from 26 to 30 genes have been identified in all safthwers. Most of genes that identified show over 50 percent of GC content. put P gene with 178, blaCMY with 62, BlaTEM with 43, and aac-6 with 66 homology in the PredictBias website identified. Also in the ACLAME website, mob (A-C) and rep (A-C) gene family are highest number of horizontal gene transfer from infection bacteria strain. Those cluster genes are the highest resistant of laboratory tests which carries resistant genes such as  blaSHV and blaCHV on the blaCMY plasmid.       

Keywords: Horizontal gene transfer, Bioinformatics, MIC, antibiotic resistance, E. coli

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