Shenzhen Institute of Research and Innovation, The University of Hong Kong, Shenzhen, China.
Environmental Microbiome Engineering and Biotechnology Laboratory, The University of Hong Kong, Hong Kong, China.
FEMS Microbiol Ecol. 2020 Jul 1;96(7). doi: 10.1093/femsec/fiaa107.
Metagenomic analysis reveals that antibiotic-resistance genes (ARGs) are widely distributed in both human-associated and non-human-associated habitats. However, it is difficult to equally compare ARGs between samples without a standard method. Here, we constructed a comprehensive profile of the distribution of potential ARGs in bacterial tree of life and global habitats by investigating ARGs in 55 000 bacterial genomes, 16 000 bacterial plasmid sequences, 3000 bacterial integron sequences and 850 metagenomes using a standard pipeline. We found that >80% of all known ARGs are not carried by any plasmid or integron sequences. Among potential mobile ARGs, tetracycline and beta-lactam resistance genes (such as tetA, tetM and class A beta-lactamase gene) distribute in multiple pathogens across bacterial phyla, indicating their clinical relevance and importance. We showed that class 1 integrases (intI1) display a poor linear relationship with total ARGs in both non-human-associated and human-associated environments. Furthermore, both total ARGs and intI1 genes show little correlation with the degree of anthropogenicity. These observations highlight the need to differentiate ARGs of high clinical relevance. This profile is published on an online platform (ARGs-OSP, http://args-osp.herokuapp.com/) as a valuable resource for the most challenging topics in this field, i.e. the risk, evolution and emergence of ARGs.
宏基因组分析显示,抗生素耐药基因(ARGs)广泛分布于人类相关和非人类相关的生境中。然而,如果没有标准方法,就很难在样本之间平等地比较 ARGs。在这里,我们通过对 55000 个细菌基因组、16000 个细菌质粒序列、3000 个细菌整合子序列和 850 个宏基因组进行研究,构建了一个细菌生命树和全球生境中潜在抗生素耐药基因分布的综合图谱,使用了标准的分析流程。我们发现,超过 80%的已知 ARGs 并不存在于任何质粒或整合子序列中。在潜在的可移动 ARGs 中,四环素和β-内酰胺类抗生素耐药基因(如 tetA、tetM 和 A 类β-内酰胺酶基因)分布在多个细菌门的多种病原体中,这表明它们具有临床相关性和重要性。我们表明,类 1 整合酶(intI1)与非人类相关和人类相关环境中的总 ARGs 之间呈较差的线性关系。此外,总 ARGs 和 intI1 基因与人为因素的程度几乎没有相关性。这些观察结果强调了需要区分具有高临床相关性的 ARGs。该图谱已发布在一个在线平台(ARGs-OSP,http://args-osp.herokuapp.com/)上,是该领域最具挑战性的话题(即 ARGs 的风险、进化和出现)的宝贵资源。