Comparative Analysis of Airborne Bacterial and Fungal Communities in South-Eastern Italy and in Albania Using the Compositional Analysis of 16S and ITS rRNA Gene Sequencing Datasets
This study investigates airborne bacterial and fungal communities in south-eastern Italy and Albania using advanced DNA-based techniques and compositional data analysis (CoDa). We assess the significance of airborne microbial communities, detailing our methodologies for site selection, sample collec...
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MDPI AG
2024-09-01
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| author | Salvatore Romano Lekë Pepkolaj Mattia Fragola Dalila Peccarrisi Jostina Dhimitri Alessandro Buccolieri Adelfia Talà Pietro Alifano Gianluca Quarta Lucio Calcagnile |
| author_facet | Salvatore Romano Lekë Pepkolaj Mattia Fragola Dalila Peccarrisi Jostina Dhimitri Alessandro Buccolieri Adelfia Talà Pietro Alifano Gianluca Quarta Lucio Calcagnile |
| author_sort | Salvatore Romano |
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| description | This study investigates airborne bacterial and fungal communities in south-eastern Italy and Albania using advanced DNA-based techniques and compositional data analysis (CoDa). We assess the significance of airborne microbial communities, detailing our methodologies for site selection, sample collection, DNA extraction, and data analysis. Our results reveal distinct differences in microbial composition between the two regions, driven by local environmental factors. Specifically, Albanian samples showed higher abundances of bacterial species such as <i>Rubellimicrobium roseum</i> and <i>Sphingomonas cynarae</i>, while Italian samples were characterized by a prevalence of <i>Truepera radiovictrix</i> and <i>Rubrobacter radiotolerans</i>. In terms of fungi, Albanian sites exhibited greater abundance of <i>Mycosphaerella tassiana</i>, <i>Aureobasidium pullulans</i>, and <i>Ascochyta herbicola</i>. Aitchison distance-based dendrograms and principal component analysis (PCA) biplots, utilizing singular value decomposition, clearly delineated a geographical separation of microbial communities, underscoring the impact of regional atmospheric conditions on microbial composition. In the discussion, we interpret these findings in the context of regional environmental factors, highlighting their implications for understanding regional differences in airborne microbial communities. The conclusion emphasizes the effectiveness of advanced DNA techniques and CoDa in environmental microbiology, offering insights into how local environmental conditions shape microbial communities and suggesting directions for future research and public health considerations. |
| format | Article |
| id | doaj-art-de85c385cc194edbbc40f0791eb81744 |
| institution | OA Journals |
| issn | 2073-4433 |
| language | English |
| publishDate | 2024-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Atmosphere |
| spelling | doaj-art-de85c385cc194edbbc40f0791eb817442025-08-20T02:11:08ZengMDPI AGAtmosphere2073-44332024-09-011510115510.3390/atmos15101155Comparative Analysis of Airborne Bacterial and Fungal Communities in South-Eastern Italy and in Albania Using the Compositional Analysis of 16S and ITS rRNA Gene Sequencing DatasetsSalvatore Romano0Lekë Pepkolaj1Mattia Fragola2Dalila Peccarrisi3Jostina Dhimitri4Alessandro Buccolieri5Adelfia Talà6Pietro Alifano7Gianluca Quarta8Lucio Calcagnile9CEDAD-Centre of Applied Physics, Dating and Diagnostics, Department of Mathematics and Physics “Ennio de Giorgi”, University of Salento, Via per Arnesano, 73100 Lecce, ItalyDepartment of Computer Science, Faculty of Computer Science and IT, Metropolitan Tirana University, Rruga Sotir Kolea, 1001 Tirana, AlbaniaCEDAD-Centre of Applied Physics, Dating and Diagnostics, Department of Mathematics and Physics “Ennio de Giorgi”, University of Salento, Via per Arnesano, 73100 Lecce, ItalyCEDAD-Centre of Applied Physics, Dating and Diagnostics, Department of Mathematics and Physics “Ennio de Giorgi”, University of Salento, Via per Arnesano, 73100 Lecce, ItalyDepartment of Geography, Faculty of History and Philology, University of Tirana, Rruga e Elbasanit, 1001 Tirana, AlbaniaCEDAD-Centre of Applied Physics, Dating and Diagnostics, Department of Mathematics and Physics “Ennio de Giorgi”, University of Salento, Via per Arnesano, 73100 Lecce, ItalyDepartment of Biological and Environmental Sciences and Technologies, University of Salento, Via Monteroni, 73100 Lecce, ItalyDepartment of Biological and Environmental Sciences and Technologies, University of Salento, Via Monteroni, 73100 Lecce, ItalyCEDAD-Centre of Applied Physics, Dating and Diagnostics, Department of Mathematics and Physics “Ennio de Giorgi”, University of Salento, Via per Arnesano, 73100 Lecce, ItalyCEDAD-Centre of Applied Physics, Dating and Diagnostics, Department of Mathematics and Physics “Ennio de Giorgi”, University of Salento, Via per Arnesano, 73100 Lecce, ItalyThis study investigates airborne bacterial and fungal communities in south-eastern Italy and Albania using advanced DNA-based techniques and compositional data analysis (CoDa). We assess the significance of airborne microbial communities, detailing our methodologies for site selection, sample collection, DNA extraction, and data analysis. Our results reveal distinct differences in microbial composition between the two regions, driven by local environmental factors. Specifically, Albanian samples showed higher abundances of bacterial species such as <i>Rubellimicrobium roseum</i> and <i>Sphingomonas cynarae</i>, while Italian samples were characterized by a prevalence of <i>Truepera radiovictrix</i> and <i>Rubrobacter radiotolerans</i>. In terms of fungi, Albanian sites exhibited greater abundance of <i>Mycosphaerella tassiana</i>, <i>Aureobasidium pullulans</i>, and <i>Ascochyta herbicola</i>. Aitchison distance-based dendrograms and principal component analysis (PCA) biplots, utilizing singular value decomposition, clearly delineated a geographical separation of microbial communities, underscoring the impact of regional atmospheric conditions on microbial composition. In the discussion, we interpret these findings in the context of regional environmental factors, highlighting their implications for understanding regional differences in airborne microbial communities. The conclusion emphasizes the effectiveness of advanced DNA techniques and CoDa in environmental microbiology, offering insights into how local environmental conditions shape microbial communities and suggesting directions for future research and public health considerations.https://www.mdpi.com/2073-4433/15/10/1155airborne microbiomebioaerosolmetagenomics16S rRNA sequencingITS rRNA sequencingcompositional data analysis |
| spellingShingle | Salvatore Romano Lekë Pepkolaj Mattia Fragola Dalila Peccarrisi Jostina Dhimitri Alessandro Buccolieri Adelfia Talà Pietro Alifano Gianluca Quarta Lucio Calcagnile Comparative Analysis of Airborne Bacterial and Fungal Communities in South-Eastern Italy and in Albania Using the Compositional Analysis of 16S and ITS rRNA Gene Sequencing Datasets Atmosphere airborne microbiome bioaerosol metagenomics 16S rRNA sequencing ITS rRNA sequencing compositional data analysis |
| title | Comparative Analysis of Airborne Bacterial and Fungal Communities in South-Eastern Italy and in Albania Using the Compositional Analysis of 16S and ITS rRNA Gene Sequencing Datasets |
| title_full | Comparative Analysis of Airborne Bacterial and Fungal Communities in South-Eastern Italy and in Albania Using the Compositional Analysis of 16S and ITS rRNA Gene Sequencing Datasets |
| title_fullStr | Comparative Analysis of Airborne Bacterial and Fungal Communities in South-Eastern Italy and in Albania Using the Compositional Analysis of 16S and ITS rRNA Gene Sequencing Datasets |
| title_full_unstemmed | Comparative Analysis of Airborne Bacterial and Fungal Communities in South-Eastern Italy and in Albania Using the Compositional Analysis of 16S and ITS rRNA Gene Sequencing Datasets |
| title_short | Comparative Analysis of Airborne Bacterial and Fungal Communities in South-Eastern Italy and in Albania Using the Compositional Analysis of 16S and ITS rRNA Gene Sequencing Datasets |
| title_sort | comparative analysis of airborne bacterial and fungal communities in south eastern italy and in albania using the compositional analysis of 16s and its rrna gene sequencing datasets |
| topic | airborne microbiome bioaerosol metagenomics 16S rRNA sequencing ITS rRNA sequencing compositional data analysis |
| url | https://www.mdpi.com/2073-4433/15/10/1155 |
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