College of Environmental and Resource Sciences, Zhejiang University, Hangzhou, China.
College of Environmental and Resource Sciences, Zhejiang University, Hangzhou, China; Zhejiang Province Key Laboratory for Water Pollution Control and Environmental Safety, Hangzhou, China; Key Laboratory of Environment Remediation and Ecological Health, Ministry of Education, College of Environmental Resource Sciences, Zhejiang University, Hangzhou, China.
Bioresour Technol. 2022 Oct;362:127824. doi: 10.1016/j.biortech.2022.127824. Epub 2022 Aug 24.
Antibiotic resistance genes (ARGs) fate in a full-scale Food waste (FW) facility was investigated. Results showed that with the changes in ARGs, microbial networks could be naturally divided into two clusters, named as the ARGs increasing group (AI group) and the ARGs decreasing group (AD group). The significant difference between two groups (i.e. stronger microbial competition in the AI group and stronger microbial cooperation in the AD group) implied that the variation in ARGs over time were caused by a switch between competition and cooperation. These results indicated that microbial competition might increase ARGs abundance, while cooperation might reduce it. Meanwhile, structural-equation-model (SEM model) showed that humification indexes (e.g. GI value) was an indicator for characterizing microbial interactions and ARGs. The results of the linear model further confirmed that mature compost (GI values > 92.6 %) could reduce the risk of ARGs.
本研究考察了在规模较大的厨余垃圾处理设施中抗生素抗性基因（ARGs）的命运。结果表明，随着 ARGs 的变化，微生物网络可以自然地分为两个聚类，分别命名为 ARGs 增加组（AI 组）和 ARGs 减少组（AD 组）。两组之间的显著差异（即 AI 组中微生物竞争更强，AD 组中微生物合作更强）表明，ARGs 的时间变化是由竞争和合作之间的转换引起的。这些结果表明，微生物竞争可能会增加 ARGs 的丰度，而合作可能会降低其丰度。同时，结构方程模型（SEM 模型）表明腐殖化指数（如 GI 值）是表征微生物相互作用和 ARGs 的指标。线性模型的结果进一步证实，成熟堆肥（GI 值>92.6%）可以降低 ARGs 的风险。
