抗菌素耐药性(AMR)通过降低抗生素治疗细菌感染的有效性而严重威胁公众健康。大气颗粒物(APM)是一种常见的环境危害,通过引起各种疾病和传播细菌致病机制,影响人类健康,其中病原菌和AMR是必不可少的部分。APM微生物群和抗性体的性质,连同他们的塑造因素和相互关系,需要进一步检查。为了解决这个问题,我们分析了从四个集群(华北和华南,内蒙古,和西藏)。对于APM的微生物组(P<0.001)和核心电阻组(P<0.001)均发现了显着的区域化,统计分析显示不同地区存在显著差异。主坐标分析(PCoA)和随附的ANOSIM分析表明,微生物组和核心抗性组遵循相同的区域子聚类层次结构模式。这个发现,结合APM微生物群和核心抗性对环境参数的响应分析,显示出相似的响应模式,以及APM微生物群和核心电阻体之间的Procrustes分析(M2=0.963,P<0.05),强烈建议APM微生物群与核心抗性相关。共现网络分析进一步揭示了APM微生物群与核心抗性体之间相互作用的关键类群和抗微生物抗性决定因素。因此,结论是APM微生物组和耐药组组成具有高度区域性,环境污染物和APM水平影响APM微生物群和抗性体,APMs中的微生物组和抗性组显著相关(P<0.05)。重要性与大气颗粒物(APM)相关的细菌可以长距离传播。这些细菌的很大一部分可能会威胁人类健康。APM携带的病原菌的抗微生物耐药性(AMR)阻止了感染的治愈。因此,APMs中的病原菌及其AMR越来越受到重视。文献表明,APM中细菌AMR和细菌发病机理存在知识空白,包括它们的分布模式,相互关系,以及影响其成分的因素。这项工作旨在通过研究从13个城市收集的APM样本来弥合这一知识差距。结果表明,细菌和抗生素耐药性决定因素都是高度区域性的,它们的组成模式是显著相关的,并受到同一组环境因素的影响。
Antimicrobial resistance (AMR) seriously threatens public health by reducing antibiotic effectiveness in curing bacterial infections. Atmospheric particulate matter (APM) is a common environmental hazard that affects human health by causing various diseases and disseminating bacterial pathogenesis, of which pathogenic bacteria and AMR are essential parts. The properties of APM microbiomes and resistomes, along with their shaping factors and mutual relationships, need further examination. To address this, we analyzed APMs collected from 13 cities within four clusters (North and South China, Inner Mongolia, and Tibet). Significant regionalization was found for both the microbiomes (P < 0.001) and core resistomes (P < 0.001) for APMs, with statistical analyses showing significant differences in different regions. Principal coordinate analysis (PCoA) and accompanying ANOSIM analyses showed that microbiomes and core resistomes followed the same regional subclustering hierarchy patterns. This finding, together with response analysis of APM microbiomes and core resistomes to environmental parameters that showed similar response patterns, as well as Procrustes analysis (M2 = 0.963, P < 0.05) between APM microbiomes and core resistomes, strongly suggested that APM microbiomes and core resistomes are correlated. Co-occurrence network analysis further revealed key taxa and antimicrobial resistance determinants in the interactions between APM microbiomes and core resistomes. Thus, it was concluded that APM microbiome and resistome compositions were highly regional, that environmental pollutants and APM levels impacted APM microbiomes and resistomes, and that microbiomes and resistomes in APMs are significantly correlated (P < 0.05). IMPORTANCE Bacteria associated with atmospheric particulate matter (APMs) can transmit over long distances. A large portion of these bacteria can potentially threaten human health. The antimicrobial resistance (AMR) of pathogenic bacteria carried by APMs prevents curing from infections. Therefore, both the pathogenic bacteria in APMs and their AMR are receiving more attention. The literature suggests a knowledge gap that exists for bacterial AMR and bacterial pathogenesis in APMs, including their distribution patterns, mutual relationships, and factors influencing their compositions. This work aimed to bridge this knowledge gap by studying APM samples collected from 13 cities. The results demonstrated that both bacteria and antibiotic resistance determinants were highly regional and that their composition patterns were significantly correlated, and influenced by the same group of environmental factors. This study thus determined the relationship between the two important aspects of bacterial pathogenesis in APMs and represents significant progress in understanding bacterial pathogenesis in APMs.