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Impact of climate zones and seasons on indoor airborne microbial communities: Insights from a comprehensive analysis

  • Shengqi Wang
  • , Xiaohong Zheng
  • , Jin Ye
  • , Zongke Sun
  • , Ziguang Chen
  • , Guoqing Cao
  • , Yin Zhang
  • , Fangxia Shen
  • , Caroline X. Gao
  • , Hua Qian*
  • *Corresponding author for this work
  • Southeast University, Nanjing
  • University of Melbourne
  • ORYGEN Youth Health
  • Jiangsu University of Science and Technology
  • Chinese Center for Disease Control and Prevention
  • China Academy of Building Research
  • Beihang University
  • Monash University

Research output: Contribution to journalArticlepeer-review

Abstract

Bacteria and fungi are ubiquitous throughout built environments and are suspended in the air, potentially affecting human health. However, the impacts of climate zones on the diversity, structure, and stochastic assembly of indoor airborne microbes remain unknown. This study comprehensively analyzed indoor airborne microbes across five climate zones in China during the summer and winter using high-throughput sequencing. The diversity and structure of indoor airborne communities vary across climatic zones. A random forest model was used to identify biomarkers in different climate zones. The results showed no relationship between the biomarkers and their rankings in mean relative abundance. The Sloan neutral model fitting results indicated that the impact of climate zones on the stochastic process in the assembly of indoor airborne microbes was considerably more important than that of seasons. Additionally, the influence of seasons on the diversity, structure, and stochastic assembly process of indoor airborne microbes differed among different climate zones. The diversity, structure, and stochastic assembly processes of bacteria present distinctive outcomes in climate zones and seasons compared with those of fungi. Overall, these findings indicate that customized strategies are necessary to manage indoor airborne microbial communities in each climate zone, season, and for specific microbial species.

Original languageEnglish
Article number171879
JournalScience of the Total Environment
Volume926
DOIs
StatePublished - 20 May 2024

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Biomarker
  • High-throughput sequencing
  • Indoor air
  • Random forest model
  • Sloan neutral model

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