Fate of antibiotic resistance genes in sewage treatment plant revealed by metagenomic approach.
Fate of antibiotic resistance genes in sewage treatment plant revealed by metagenomic approach.
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DOI：
10.1016/j.watres.2014.05.019
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发表时间：
2014-10
期刊：
影响因子：
12.8
通讯作者：
Ying Yang;Bing Li;S. Zou;H. Fang;Tong Zhang
中科院分区：
文献类型：
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作者：
Ying Yang;Bing Li;S. Zou;H. Fang;Tong Zhang
抗生素耐药性已成为人类健康的严重威胁。污水处理厂（STP）是自然环境中抗生素抗性基因（ARG）的主要来源之一。应用基于高通量测序的宏基因组方法来研究全规模 STP 中 ARG 的广谱谱和命运。通过宏基因组分析的广泛扫描，总共鉴定出了属于 18 个 ARG 类型的 271 个 ARG 亚型。进水的 ARGs 丰度最高，其次是出水、厌氧消化污泥和活性污泥。 78 个 ARG 亚型在生物废水和污泥处理过程中持续存在。废水中总 ARGs 的去除率高达 99.82%，表明污水处理工艺可有效减少 ARGs。但污泥处理中ARGs的去除效果不如污水处理。此外，还检查了微生物群落的组成，并使用冗余分析研究了微生物群落与 ARG 之间的相关性。发现 6 个属与 ARGs 分布之间存在显着相关性，并且 6 个属中的 5 个属包含潜在病原体。这是首次利用宏基因组分析和高通量测序来研究 STP 中 ARG 的命运，希望能够增强我们对 STP 中 ARG 命运的了解。
Antibiotic resistance has become a serious threat to human health. Sewage treatment plant (STP) is one of the major sources of antibiotic resistance genes (ARGs) in natural environment. High-throughput sequencing-based metagenomic approach was applied to investigate the broad-spectrum profiles and fate of ARGs in a full scale STP. Totally, 271 ARGs subtypes belonging to 18 ARGs types were identified by the broad scanning of metagenomic analysis. Influent had the highest ARGs abundance, followed by effluent, anaerobic digestion sludge and activated sludge. 78 ARGs subtypes persisted through the biological wastewater and sludge treatment process. The high removal efficiency of 99.82% for total ARGs in wastewater suggested that sewage treatment process is effective in reducing ARGs. But the removal efficiency of ARGs in sludge treatment was not as good as that in sewage treatment. Furthermore, the composition of microbial communities was examined and the correlation between microbial community and ARGs was investigated using redundancy analysis. Significant correlation between 6 genera and the distribution of ARGs were found and 5 of the 6 genera included potential pathogens. This is the first study on the fate of ARGs in STP using metagenomic analysis with high-throughput sequencing and hopefully would enhance our knowledge on fate of ARGs in STP.