基于宏基因组学的水产养殖系统中抗生素抗性基因多样性及其对环境因子响应研究

项目名称： 基于宏基因组学的水产养殖系统中抗生素抗性基因多样性及其对环境因子响应研究

项目编号： No.51509233

项目类型： 青年科学基金项目

立项/批准年度： 2016

项目学科： 其他

项目作者： 鲁伦慧

作者单位： 中国科学院重庆绿色智能技术研究院

项目金额： 20万元

中文摘要： 抗生素及抗生素抗性基因（antibiotic resistance genes，ARGs）作为新型污染物由于其构成潜在的人类健康风险已引起学者广泛关注。集约化水产养殖被认为是增加环境中抗生素及ARGs的主要因素之一。目前基于宏基因组高通量测序对水产养殖环境体系中ARGs的物种分布及多样性研究还相对较少，尤其在水产养殖环境高COD、高氮磷、重金属以及抗生素复合污染作用下环境因素对ARGs水平迁移转化的影响相关作用更是知之甚少。本项目以典型水产养殖环境样品为研究对象，分别采用宏基因组高通量测序及实时荧光定量PCR方法对典型水产养殖周期底泥中ARGs的分布及多样性变化进行整体研究，重点采用多元统计分析抗生素及重金属共同选择压力下环境因子对ARGs分布及迁移转化的影响大小。本项目以期为水产养殖环境中新型污染物ARGs迁移转化规律提供理论指导，为水产养殖生态系统管理提供科学依据。

中文关键词： 抗生素；抗生素抗性基因；宏基因组；水产养殖系统；环境因素

英文摘要： Antibiotics and antibiotic resistance genes (ARGs) have aroused widespread attentions as emerging contaminants posing a potential worldwide human health risk. Intensive aquaculture industry is believed to be a major contributor to the increased environmental burden of ARGs. Despite the volume of antibiotics used in China, little information is available regarding the corresponding ARGs associated with aquaculture ecosystems. However, the knowledge about the distributions and broad characterization of ARGs through a metagenomic approach is limited in aquaculture environment. Especially the correlations of ARGs and environmental variables in complicated aquaculture ecosystems were poorly understood. The aim of this project is to investigate the distribution, abundance and diversity of ARGs in the aquaculture pond sediments based on metagenomic approach and real-time quantitative PCR. The main point will be focused on the characteristics of dynamic responses of ARGs to the variation of micro-environmental conditions using redundancy analysis/canonical correspondence analysis under co-selections of heavy metals and antibiotics. This project would instruct new theoretical directions for broader characterization of ARGs and horizontal gene transfer mechanisms, and provide theoretical guidance for the control of ARGs and aquaculture ecosystems management.

英文关键词： antibiotics;antibiotic resistance genes;metagenomic;aquaculture ecosystems ;environmental factors