Potential Human and Plant Pathogenic Species in Airborne PM10 Samples and Relationships with Chemical Components and Meteorological Parameters
Autor: | Adelfia Talà, Pietro Alifano, Maria Rita Perrone, Mattia Fragola, Salvatore Romano |
---|---|
Přispěvatelé: | Romano, S., Fragola, M., Alifano, P., Perrone, M. R., Tala, A. |
Jazyk: | angličtina |
Rok vydání: | 2021 |
Předmět: |
Mediterranean climate
Atmospheric Science 010504 meteorology & atmospheric sciences 010501 environmental sciences Environmental Science (miscellaneous) Biology 01 natural sciences Spearman's rank correlation coefficient Meteorological parameter airborne plant pathogens PM10 chemical component Spearman correlation coefficients PM10 chemical components Meteorology. Climatology airborne human pathogens 0105 earth and related environmental sciences Ecology Aquatic ecosystem Airborne human pathogen Redundancy discriminant analysi meteorological parameters 16S ribosomal RNA Airborne plant pathogen Aerosol Habitat redundancy discriminant analysis QC851-999 Dust emission |
Zdroj: | Atmosphere Volume 12 Issue 5 Atmosphere, Vol 12, Iss 654, p 654 (2021) |
ISSN: | 2073-4433 |
DOI: | 10.3390/atmos12050654 |
Popis: | A preliminary local database of potential (opportunistic) airborne human and plant pathogenic and non-pathogenic species detected in PM10 samples collected in winter and spring is provided, in addition to their seasonal dependence and relationships with meteorological parameters and PM10 chemical species. The PM10 samples, collected at a Central Mediterranean coastal site, were analyzed by the 16S rRNA gene metabarcoding approach, and Spearman correlation coefficients and redundancy discriminant analysis tri-plots were used to investigate the main relationships. The screening of 1187 detected species allowed for the detection of 76 and 27 potential (opportunistic) human and plant pathogens, respectively. The bacterial structure of both pathogenic and non-pathogenic species varied from winter to spring and, consequently, the inter-species relationships among potential human pathogens, plant pathogens, and non-pathogenic species varied from winter to spring. Few non-pathogenic species and even fewer potential human pathogens were significantly correlated with meteorological parameters, according to the Spearman correlation coefficients. Conversely, several potential plant pathogens were strongly and positively correlated with temperature and wind speed and direction both in winter and in spring. The number of strong relationships between presumptive (human and plant) pathogens and non-pathogens, and meteorological parameters slightly increased from winter to spring. The sample chemical composition also varied from winter to spring. Some potential human and plant pathogens were correlated with chemicals mainly associated with marine aerosol and/or with soil dust, likely because terrestrial and aquatic environments were the main habitats of the detected bacterial species. The carrier role on the species seasonal variability was also investigated. |
Databáze: | OpenAIRE |
Externí odkaz: |