Distribution of antibiotic resistance genes and the evolution of the resistance gene in the Haihe River Basin
|School||Shenyang Pharmaceutical University|
|Course||Microbial and Biochemical Pharmacy|
|Keywords||Haihe River Basin Antibiotic resistance genes Quantitative PCR Evolutionary analysis|
In the first of the seven major river systems in the Haihe River Basin and coastal pollution , and pollution has a direct impact on the Bohai Sea water quality . Which pollution has a very serious abuse of antibiotics lead to antibiotic resistance genes . Therefore it is necessary to the Haihe River Basin as a typical area , carried out for the study of antibiotic resistance of the base of the Haihe River Basin and coastal pollution . Firstly, through the ordinary PCR detection of environmental samples , including seven kinds of antibiotic resistance genes in water samples and sediment samples , respectively, for the tetracycline resistance gene : tetT , tetO tetQ tetM and tetB gene ; sulfa resistance gene : sul Ⅰ I sul Ⅱ. The detected samples containing the resistance gene , using real-time quantitative PCR instrument quantitative detection purposes resistance gene . The experimental results show that the sulfa resistance gene sul Ⅰ and sul Ⅱ of the highest detection rate in all samples , and the detection rate of 100% , the resistance gene detection in Xinkai , Hung Nihe , and happiness of the river in the type and copy number on are generally higher than in other regions , three places by the antibiotic resistance genes is more polluted . Entrez gene data search a variety of antibiotic resistance genes . These resistance genes , using the nearest neighbor method , the minimum the evolutionary fat and maximum parsimony constructed phylogenetic tree of antibiotic resistance genes and evolutionary analysis of these resistance genes . Found that similar protein coding function or have a similar mechanism of resistance mediated by the resistance of the different types of antibiotic resistance genes in the evolutionary tree of evolutionary relationships are closer .