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• W4383677215 endingPage "102930" @default.
• W4383677215 startingPage "102930" @default.
• W4383677215 abstract "Mycoplasma gallisepticum (MG) is one of the important pathogens in poultry industry and has led to major economic losses. Understanding the epidemiology is crucial to improve the control and eradication program of MG. This study collected 1,250 chicken samples, including trachea and lung, from China in 2022 to investigate the epidemiology of MG. Among the collected samples, 938 samples were positive for MG infection, resulting in an average positive rate of 75.04%. Additionally, 570 samples were positive for both MG and MS (Mycoplasma synoviae) coinfection, with an average positive rate of 45.60%. A total of 183 MG infection positive samples in this study were selected for genotyping, and the multi-locus sequence typing (MLST) method based on seven housekeeping genes was used. As a result, 183 samples belonged to 11 sequence types (STs), with ST-78 being the most prevalent. After BURST analysis, all 183 sequences were divided into group 3. Besides, 119 reference sequences from database and 183 sequences of this study were selected to construct the phylogenetic tree using the neighbor-joining method. The results revealed that the sequences from China, total 196 sequences, were classified into four branches. The findings suggest that the MG strains in China exhibit diverse genotypes, which may be related to international trade and the use of live vaccines. Furthermore, we detected the drug susceptibility of ten isolated strains randomly, which may be helpful to guide the clinical use of drugs to control MG infection." @default.
• W4383677215 created "2023-07-09" @default.
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• W4383677215 date "2023-11-01" @default.
• W4383677215 modified "2023-09-27" @default.
• W4383677215 title "Epidemiological Investigations and Multi-locus Sequence Typing of Mycoplasma gallisepticum collected in China" @default.
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• W4383677215 doi "https://doi.org/10.1016/j.psj.2023.102930" @default.
• W4383677215 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/37716233" @default.
• W4383677215 hasPublicationYear "2023" @default.
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