Cao Huaiyu, Ye Hanbing, Tian Yucheng, Zhang Jinhong, Xie Yongchao, Chen Yuan, Mo Qiuyue, Huang Song, Tao Yiqi, Liu Tang
School of Architecture and Urban Planning, Shenzhen University, Shenzhen, China.
School of Environment and Energy, Peking University Shenzhen Graduate School, Shenzhen, China.
Front Microbiol. 2025 Jul 15;16:1604064. doi: 10.3389/fmicb.2025.1604064. eCollection 2025.
Exposure to indoor microbes, particularly potential pathogens, poses significant health risks to occupants. While the indoor microbiome has been extensively studied in various settings, its spatial distribution in university dormitories within hot and humid climates remains poorly understood. In this study, 56 samples were collected from four functional areas (air conditioning, sink, toilet, and floor) in student dormitories in Shenzhen, China. 16S rRNA gene sequencing revealed that the indoor microbial communities were predominantly composed of human-associated genera such as , and with marked compositional differences among functional zones. FAPROTAX predictions further identified 74 potential human pathogens, mainly linked in literature to the risks of nosocomial infections and pneumonia. Notably, a significant portion of these pathogens belongs to the genus , with elevated concentrations found in air conditioning systems, suggesting their potential as reservoirs of clinically relevant microbes. Environmental variations across room functional areas significantly influenced the composition profile of the microbiome, while the impact of occupant characteristics appeared negligible. Key environmental factors, particularly temperature, played a major role in shaping both microbial and pathogen dynamics. Floor surfaces were identified as key microbial hotspots, exhibiting complex microbial networks that interacted strongly with communities from other functional areas. This underscores the floor's vital role in maintaining connectivity within the indoor environment. The assembly processes of indoor microbial and predicted pathogen communities were both dominated by stochastic processes, with the former primarily governed by dispersal limitations and the latter by ecological drift. Overall, this study provides critical insights into the spatial distribution, environmental drivers, and assembly mechanisms of microbial and pathogen communities in university dormitories, contributing to future assessments of indoor microbial exposure and hygiene management.
接触室内微生物,尤其是潜在病原体,会对居住者构成重大健康风险。虽然室内微生物群已在各种环境中得到广泛研究,但其在炎热潮湿气候下大学宿舍中的空间分布仍知之甚少。在本研究中,从中国深圳学生宿舍的四个功能区域(空调、水槽、厕所和地板)采集了56个样本。16S rRNA基因测序显示,室内微生物群落主要由与人类相关的属组成,如 , , ,且功能区之间存在明显的组成差异。FAPROTAX预测进一步鉴定出74种潜在的人类病原体,主要在文献中与医院感染和肺炎风险相关。值得注意的是,这些病原体中有很大一部分属于 属,在空调系统中浓度升高,表明它们可能是临床相关微生物的储存库。房间功能区域的环境变化显著影响了微生物群的组成概况,而居住者特征的影响似乎可以忽略不计。关键环境因素,尤其是温度,在塑造微生物和病原体动态方面发挥了主要作用。地板表面被确定为关键的微生物热点,呈现出复杂的微生物网络,与其他功能区域的群落强烈相互作用。这突出了地板在维持室内环境连通性方面的重要作用。室内微生物群落和预测病原体群落的组装过程均由随机过程主导,前者主要受扩散限制控制,后者受生态漂变控制。总体而言,本研究为大学宿舍中微生物和病原体群落的空间分布、环境驱动因素及组装机制提供了关键见解,有助于未来对室内微生物暴露和卫生管理的评估。