Abstract：
Municipal solid waste treatment (MSWT) system emits a cocktail of microorganisms that jeopardize environmental and public health. However, the dynamics and risks of airborne microbiota associated with MSWT are poorly understood. Here, we analyzed the bacterial community of inhalable air particulates (PM10, n = 71) and the potentially exposed on-site workers\' throat swabs (n = 30) along with waste treatment chain in Shanghai, the largest city of China. Overall, the airborne bacteria varied largely in composition and abundance during the treatment (P < 0.05), especially in winter. Compared to the air conditions, MSWT-sources that contributed to 15 ∼ 70% of airborne bacteria more heavily influenced the PM10-laden bacterial communities (PLS-SEM, β = 0.40, P < 0.05). Moreover, our year-span analysis found PM10 as an important media spreading pathogens (104 ∼ 108 copies/day) into on-site workers. The machine-learning identified Lactobacillus and Streptococcus as pharynx-niched featured biomarker in summer and Rhodococcus and Capnocytophaga in winter (RandomForest, ntree = 500, mtry = 10, cross = 10, OOB = 0%), which closely related to their airborne counterparts (Procrustes test, P < 0.05), suggesting that MSWT a dynamic hotspot of airborne bacteria with the pronounced inhalable risks to the neighboring communities.
摘要：
城市固体废物处理（MSWT）系统释放出危害环境和公共卫生的微生物混合物。然而,与MSWT相关的空气微生物群的动态和风险知之甚少。这里,我们分析了上海的可吸入空气颗粒物（PM10，n=71）的细菌群落和可能暴露的现场工人的咽拭子（n=30）以及废物处理链，中国最大的城市。总的来说,处理期间空气传播的细菌在组成和丰度上差异很大（P<0.05），尤其是在冬天。与空气条件相比，MSWT-sourcesthatcontributedto15-70%ofariborbactersmorethreadlyinfluencethePM10-ladenbacteriacommunities(PLS-SEM,β=0.40,P<0.05)。此外，我们的年跨度分析发现，PM10是一种重要的媒介，传播病原体(104~108份/天)到现场工人。机器学习在夏季将乳酸杆菌和链球菌确定为咽部特征生物标志物，在冬季将红球菌和Capnocytophaga（RandomForest，ntree=500，m=10，cross=10，OOB=0%），这与他们的机载同行密切相关(普鲁斯特试验，P<0.05),表明MSWT是空气传播细菌的动态热点，对邻近社区具有明显的可吸入风险。
