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Passive Sampling Reveals Composition of Airborne Bacteria and Fungi Across Five East African Cities

aut.relation.articlenumber50
aut.relation.issue1
aut.relation.journalNPJ Clean Air
aut.relation.startpage50
aut.relation.volume2
dc.contributor.authorKalisa, Egide
dc.contributor.authorHarner, Tom
dc.contributor.authorSudmant, Andrew
dc.contributor.authorAdams, Matthew
dc.contributor.authorOlea-Popelka, Francisco
dc.contributor.authorUjeneza, Yves
dc.contributor.authorKwabe, Franck
dc.contributor.authorLee, Kevin
dc.contributor.authorPointing, Stephen
dc.contributor.authorNsabimana, Antoine
dc.contributor.authorNtakirutimana, Theoneste
dc.contributor.authorSaini, Amandeep
dc.contributor.authorMastin, Jacob
dc.date.accessioned2026-10-19T01:27:08Z
dc.date.issued2026-08-05
dc.description.abstractAirborne microbes significantly influence environmental processes and human exposure, yet they remain poorly characterized in Africa. This study presents a regional survey of airborne bacterial and fungal communities across 10 sites in five East African countries: Burundi, the Democratic Republic of the Congo, Kenya, Rwanda, and Tanzania. Polyurethane foam passive air samplers (PUF-PASs) were deployed concurrently, and airborne bacterial and fungal communities were characterized using 16S rRNA gene and ITS amplicon sequencing. Genus-level analyses identified both bacterial taxa (Massilia, Sphingomonas, Pseudomonas, Bacillus, and Kocuria) and fungal genera (Cladosporium, Alternaria, Aspergillus, Curvularia, and Penicillium) that are commonly detected in outdoor air and urban atmospheric environments. Beta-diversity analysis revealed no significant country-level differences in bacterial communities (ANOSIM (R = -0.045, p = 0.597)), while fungal communities exhibited significant differences among countries (ANOSIM (R = 0.652, p = 0.002)). Cross-border comparisons showed that nearby sites within 10 km did not consistently share similar microbial profiles. These findings indicate a broadly shared regional bacterial aerobiome, with more pronounced spatial structuring among fungal communities. This study serves as a proof-of-concept demonstration that PUF-PASs can be used to characterize airborne microbial communities in East Africa, while highlighting the need for future bioaerosol research with enhanced temporal replication and broader spatial coverage to support long-term public health surveillance in the African region.
dc.identifier.citationNPJ Clean Air, ISSN: 3059-2240 (Print); 3059-2240 (Online), Springer Science and Business Media LLC, 2(1), 50-. doi: 10.1038/s44407-026-00093-2
dc.identifier.doi10.1038/s44407-026-00093-2
dc.identifier.issn3059-2240
dc.identifier.issn3059-2240
dc.identifier.urihttp://hdl.handle.net/10292/22165
dc.languageeng
dc.publisherSpringer Science and Business Media LLC
dc.relation.urihttps://www.nature.com/articles/s44407-026-00093-2
dc.rights.accessrightsOpenAccess
dc.rights.licenseCreative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectEcology
dc.subjectEnvironmental sciences
dc.subjectMicrobiology
dc.subjectEcology
dc.subjectEnvironmental sciences
dc.subjectMicrobiology
dc.subject3107 Microbiology
dc.subject31 Biological Sciences
dc.subject3103 Ecology
dc.subjectInfectious Diseases
dc.subject2.2 Factors relating to the physical environment
dc.subjectInfection
dc.subject11 Sustainable Cities and Communities
dc.titlePassive Sampling Reveals Composition of Airborne Bacteria and Fungi Across Five East African Cities
dc.typeJournal Article
pubs.elements-id771057

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