1. Metagenome-Based Analysis of the Microbial Community Structure and Drug-Resistance Characteristics of Livestock Feces in Anhui Province, China.
- Author
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Shao, Ying, Qi, Zhao, Sang, Jinhui, Yu, Zhaorong, Li, Min, Wang, Zhenyu, Tu, Jian, Song, Xiangjun, and Qi, Kezong
- Subjects
MICROBIAL communities ,FECES ,GUT microbiome ,LIVESTOCK ,MICROBIAL diversity ,FACTOR analysis ,BACTERIAL communities ,INFLUENZA A virus, H7N9 subtype - Abstract
Simple Summary: In this study, we collected swine feces at different physiological stages for macrogenomic sequencing. By comparing the sequencing results of the samples, we analyzed the differences in microbial species in these samples at different physiological states. In addition, we also compared the differences in drug-resistance genes among different samples in order to provide a basis for the development of scientific pig breeding policies and management measures. We analyzed metagenome data of feces from sows at different physiological periods reared on large-scale farms in Anhui Province, China, to provide a better understanding of the microbial diversity of the sow intestinal microbiome and the structure of antibiotic-resistance genes (ARGs) and virulence genes it carries. Species annotation of the metagenome showed that in the porcine intestinal microbiome, bacteria were dominant, representing >97% of the microorganisms at each physiological period. Firmicutes and Proteobacteria dominated the bacterial community. In the porcine gut microbiome, the viral component accounted for an average of 0.65%, and the species annotation results indicated that most viruses were phages. In addition, we analyzed the microbiome for ARGs and virulence genes. Multidrug-like, MLS-like, and tetracycline-like ARGs were most abundant in all samples. Evaluation of the resistance mechanisms indicated that antibiotic inactivation was the main mechanism of action in the samples. It is noteworthy that there was a significant positive correlation between ARGs and the total microbiome. Moreover, comparative analysis with the Virulence Factor Database showed that adhesion virulence factors were most abundant. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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