厌氧消化技术是城市污泥资源化利用的重要途径之一，关于厌氧消化技术能否有效控制污泥中抗生素耐药性传播风险问题仍存在较大争议。本项目拟基于宏基因组学技术和多元数理统计方法，结合实地调查和多批次厌氧消化实验，全面探究污泥厌氧消化过程中抗生素抗性基因、可移动基因元件和抗生素耐药菌群的广谱分布特征；构建抗性基因与耐药群菌的分子生态网络，甄别承载抗性基因的关键基因元件和宿主菌群；解析抗性基因随着可移动基因元件和耐药菌群发生水平、垂直迁移的行为机制；明确厌氧消化技术影响抗性基因动态变化的关键机理，揭示能够有效切断抗生素耐药性传播的控制方法；通过筛选、优化关键厌氧消化运行参数，构建一套即可促进污泥厌氧消化效率，又能有效削减抗性基因耐药性传播风险的强化厌氧消化工艺流程。

Anaerobic digestion (AD) is a promising technology for the resource utilization of sewage sludge.Researches have been also arguing for decades about the control effects of anaerobic digestion on the antibiotic resistance of sludge. This study combines meta-genomic approach, multivariate statistical analysis, background investigation and anaerobic digestion lab-scale experiments jointly, to (1) investigate the wide distribution of antibiotic resistance genes (ARG), mobile genetic elements (MGE) and antibiotic resistance bacteria (ARB) during the AD process; (2) identify the key genetic elements and possible hosts that carrying ARG based on the molecular ecological networks; (3) understand the behavior mechanism of interactions between MGE and ARB that response for the horizonal/vertical transfer ; (4) reveal how AD parameters affect the variation of ARG and how to effectively eliminate the spread of ARG from sludge; (5) propose an enhanced anaerobic digestion technology of sewage sludge for methane generation and ARG reduction under the optimal parameters.