State Key Laboratory for Turbulence and Complex Systems, Department of Biomedical Engineering, College of Future Technology, Peking University, Beijing 100871, China.
Center for Quantitative Biology, Peking University, Beijing 100871, China.
Environ Sci Technol. 2022 Jul 19;56(14):9891-9902. doi: 10.1021/acs.est.1c07923. Epub 2022 Jul 4.
Airborne microbiome alterations, an emerging global health concern, have been linked to anthropogenic activities in numerous studies. However, these studies have not reached a consensus. To reveal general trends, we conducted a meta-analysis using 3226 air samples from 42 studies, including 29 samples of our own. We found that samples in anthropogenic activity-related categories showed increased microbial diversity, increased relative abundance of pathogens, increased co-occurrence network complexity, and decreased positive edge proportions in the network compared with the natural environment category. Most of the above conclusions were confirmed using the samples we collected in a particular period with restricted anthropogenic activities. Additionally, unlike most previous studies, we used 15 human-production process factors to quantitatively describe anthropogenic activities. We found that microbial richness was positively correlated with fine particulate matter concentration, NH emissions, and agricultural land proportion and negatively correlated with the gross domestic product per capita. Airborne pathogens showed preferences for different factors, indicating potential health implications. SourceTracker analysis showed that the human body surface was a more likely source of airborne pathogens than other environments. Our results advance the understanding of relationships between anthropogenic activities and airborne bacteria and highlight the role of airborne pathogens in public health.
空气微生物组的改变是一个新兴的全球健康关注点,在许多研究中都与人为活动有关。然而,这些研究尚未达成共识。为了揭示一般趋势,我们使用来自 42 项研究的 3226 个空气样本进行了荟萃分析,其中包括 29 个我们自己的样本。我们发现,与自然环境类别相比,在与人为活动相关类别的样本中,微生物多样性增加,病原体的相对丰度增加,共生网络的复杂性增加,网络中的正边缘比例降低。使用我们在特定时期采集的、人为活动受限的样本,验证了上述大部分结论。此外,与大多数先前的研究不同,我们使用了 15 个人类生产过程因素来定量描述人为活动。我们发现,微生物丰富度与细颗粒物浓度、NH3 排放和农业用地比例呈正相关,与人均国内生产总值呈负相关。空气传播病原体对不同因素表现出偏好,表明可能对健康有影响。SourceTracker 分析表明,人体表面比其他环境更可能是空气传播病原体的来源。我们的研究结果推进了对人为活动与空气细菌之间关系的理解,并强调了空气传播病原体在公共卫生中的作用。