Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/137695
Title: Exploring the spatial variability of airborne bacterial and fungal communities : a comparative study across five central Mediterranean areas
Authors: Fragola, Mattia
Romano, Salvatore
Peccarrisi, Dalila
Pepkolaj, Leke
Ammoscato, Ivano
Calidonna, Roberta Claudia
Malacaria, Luana
De Benedetto, Giorgia
Scerri, Mark M.
Kalimeris, Anastasios
Kampioti, Adamantia
Maruccio, Lucio
Alifano, Pietro
Talà, Adelfia
Quarta, Gianluca
Calcagnile, Lucio
Keywords: Air -- Microbiology -- Mediterranean Region
Bacteria -- Classification
Fungi -- Classification
Multivariate analysis
Genomics
Pathogenic microorganisms
Issue Date: 2025
Publisher: Elsevier Ltd.
Citation: Fragola, M., Romano, S., Peccarrisi, D., Pepkolaj, L., Ammoscato, I., Calidonna, R. C.,…Calcagnile, L. (2025). Exploring the spatial variability of airborne bacterial and fungal communities: A comparative study across five central Mediterranean areas. Environmental Advances, 21, 100660. DOI: https://doi.org/10.1016/j.envadv.2025.100660
Abstract: In this study the distribution of airborne bacterial and fungal communities was investigated in five different areas of the Central Mediterranean (Salento Peninsula and Lamezia Terme in South Italy, Albania, Malta, and Zakynthos in Greece). Advanced DNA-based approaches and compositional data analysis (CoDa) were used to explore microbial community compositions and their spatial variability associated with the different types of sampling site (urban, rural, and coastal). Analytical results revealed distinct patterns of the airborne microbial community mainly shaped by geographic and environmental features. Among the identified airborne bacterial genera, Sphingomonas was found in all the selected sites, while Brevundimonas, Geodermatophilus, and Rubrobacter were prevalent in coastal and rural locations. Among the airborne fungal genera, Cladosporium and Alternaria were abundant in rural and coastal areas. The clustering of detected samples by geographic characteristics and monitoring site type was further highlighted by the Aitchison distance-based dendrograms and principal component analysis biplots by utilizing singular value decomposition. This statistical approach allowed proving that some specific microbial genera were associated with different environmental characteristics related to the selected sampling areas. Therefore, this study points out the complex relationship between spatial variability and microbial distributions, underlining that environmental and geographic variations can significantly contribute to microbial community composition.
URI: https://www.um.edu.mt/library/oar/handle/123456789/137695
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