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. 2026 Mar 4:1023:181623.
doi: 10.1016/j.scitotenv.2026.181623. Online ahead of print.

Season and city shape urban bioaerosol composition beyond vegetation and socioeconomic gradients

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Free article

Season and city shape urban bioaerosol composition beyond vegetation and socioeconomic gradients

Sarah Poirier et al. Sci Total Environ. .
Free article

Abstract

Urban vegetation varies with socio-economic gradients, as lower-income neighborhoods often host sparser and less diverse green spaces. This disparity may affect respiratory health by influencing exposure to bioaerosols. Understanding the characteristics of this aerobiome could help anticipate risks related to allergies and other respiratory conditions. Here, we hypothesized that urban vegetation cover and socio-economic status shape urban bioaerosol dynamics. We sampled bioaerosols at 65 sites across three Canadian cities of varying population size and density using an active air sampler over four months, and characterized their bacterial, fungal, and plant particles composition using amplicon sequencing. Seasonal alpha diversity varied significantly for fungi and plant particles. Based on beta diversity, sampling period alone explained up to 40% of plant particle, 29% of fungal, and 11% of bacterial bioaerosol composition variation. In contrast, vegetation cover explained only a minor portion of the variance in bioaerosol composition, and median household income, almost none. These findings provide a critical baseline for understanding the urban aerobiome and highlight the need to study how vegetation identity and diversity, rather than cover alone, may shape bioaerosol dynamics in cities. As cities grow and urban greening initiatives expand, demystifying the aerobiome dynamics becomes an urgent public health priority.

Keywords: Aerobiome; Bacteria; Fungi; Metagenomics; Microbial ecology; Plant particles; Urban ecology.

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Conflict of interest statement

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

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