ỨNG DỤNG PHƯƠNG PHÁP METAGENOMIC TRONG PHÂN TÍCH ĐA DẠNG VI KHUẨN ĐƯỜNG RUỘT TRÊN MÔ HÌNH CHUỘT BỊ TIÊU CHẢY DO SỬ DỤNG KHÁNG SINH

Abstract

Objective: To use metagenomic methods in 16s DNA gene analysis to evaluate the variation of gut microbiota in a white rat model of antibiotic-associated diarrhea. Methods: White rats were induced diarrhea with Lincomycine at a dose of 5g/kg/24h. At the end of the experiment, the mouse cecum samples were collected, sequenced the V3 -V4 region of the 16S rDNA gene and used Qiime2 software to analyze the diversity of bacterial species in the intestinal tract of white rats. Results: Antibiotics reduced the alpha diversity of the gut microbiota. In terms of bacterial composition at the phylum level, the group using antibiotics increased the phylum Bacteroidota and Proteobacteria and decreased the phylum Firmicutes. At the bacterial genera level, antibiotics reduced the abundance of the genera Lactobacillus, Bacillus, Clostridium innocuum, Romboutsia, Erysipelatoclostridium, Muribaculaceae, Hungatella, and UBA1819 and increased the abundance for the genera Bacteroides, Pseudomonas, Escherichia-Shigella, Lachnoclostridium, Proteus, Robinsoniella. Conclusion: The diversity of the gut microbiota was reduced with the use of Lincomycin. Antibiotics significantly increase harmful genera such as Bacteroides, Escherichia-Shigella are two prominent and interesting genera in the gut microbiota.