期刊论文详细信息
PeerJ
Human gut resistome can be country-specific
article
Yao Xia1  Yanshan Zhu3  Qier Li4  Jiahai Lu3 
[1] Kunming Institute of Zoology, Chinese Academy of Sciences;Kunming College of Life Science, University of Chinese Academy of Sciences;School of Public Health, Sun Yat-sen University;School of Mathematics, Sun Yat-sen University;One Health Center of Excellence for Research & Training, Sun Yat-Sen University;Key Laboratory for Tropical Disease Control of Ministry of Education, Sun Yat-Sen University
关键词: Resistome;    Antibiotic resistance gene;    Metagenomics;    Machine learning;   
DOI  :  10.7717/peerj.6389
学科分类:社会科学、人文和艺术(综合)
来源: Inra
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【 摘 要 】

The emergence and spread of antibiotic resistance have become emerging threats to human health. The human gut is a large reservoir for antibiotic resistance genes. The gut resistome may be influenced by many factors, but the consumption of antibiotics at both individual and country level should be one of the most significant factors. Previous studies have suggested that the gut resistome of different populations may vary, but lack quantitative characterization supported with relatively large datasets. In this study, we filled the gap by analyzing a large gut resistome dataset of 1,267 human gut samples of America, China, Denmark, and Spain. We built a stacking machine-learning model to determine whether the gut resistome can act as the sole feature to identify the nationality of an individual reliably. It turned out that the machine learning method could successfully identify American, Chinese, Danish, and Spanish populations with F1 score of 0.964, 0.987, 0.971, and 0.986, respectively. Our finding does highlight the significant differences in the composition of the gut resistome among different nationalities. Our study should be valuable for policy-makers to look into the influences of country-specific factors of the human gut resistome.

【 授权许可】

CC BY   

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