Literature DB >> 31491629

Airborne bacteria in the Central Mediterranean: Structure and role of meteorology and air mass transport.

Salvatore Romano1, Marco Di Salvo2, Gennaro Rispoli1, Pietro Alifano2, Maria Rita Perrone1, Adelfia Talà3.   

Abstract

The 16S rRNA gene metabarcoding approach has been used to characterize the structure of the airborne bacterial community of PM10 samples, and investigate the dependence on meteorology, seasons, and long-range transported air masses. The PM10 samples were collected at a Central Mediterranean coastal site, away from large sources of local pollution. Proteobacteria, Cyanobacteria, Actinobacteria, Firmicutes, and Bacteroidetes, which were found in all samples, were the most abundant phyla. Calothrix, Pseudomonas, and Bacillus were the most abundant genera. The within-sample relative abundance (RA) of each phylum/genus varied from sample to sample. Calothrix was the most abundant genus during the advection of desert dust and Atlantic air masses, Pseudomonas was the most abundant genus when the advected air flows spent several hours over lands or close to lands affected by anthropogenic activities, before reaching the study site. The bacterial community richness and biodiversity of the PM10 samples on average increased from winter to spring, while the sample dissimilarity on average decreased from winter to spring. The spring meteorological conditions over the Mediterranean, which have likely contributed to maintain for longer time the bacterial community in the atmosphere, could have been responsible for the above results. The analysis of the presumptive species-level characterization of the airborne bacterial community has revealed that the abundance of human (opportunistic) pathogens was highly inhomogeneous among samples, without any significant change from winter to spring. We also found that the PM10 samples collected during the advection of desert dust and Atlantic air masses were on average the less enriched in human (opportunistic) pathogenic species.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Advection patterns; Airborne bacterial community; Biodiversity indices; Meteorological parameters; PM10 samples; Principal Component Analysis

Mesh:

Substances:

Year:  2019        PMID: 31491629     DOI: 10.1016/j.scitotenv.2019.134020

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  8 in total

Review 1.  Infectious Diseases Associated with Desert Dust Outbreaks: A Systematic Review.

Authors:  Eleni Vergadi; Glykeria Rouva; Maria Angeli; Emmanouil Galanakis
Journal:  Int J Environ Res Public Health       Date:  2022-06-05       Impact factor: 4.614

2.  Effect of filter extraction solvents on the measurement of the oxidative potential of airborne PM2.5.

Authors:  Maria Chiara Pietrogrande; Dimitri Bacco; Arianna Trentini; Mara Russo
Journal:  Environ Sci Pollut Res Int       Date:  2021-02-09       Impact factor: 4.223

3.  Seasonal Variability of the Airborne Eukaryotic Community Structure at a Coastal Site of the Central Mediterranean.

Authors:  Mattia Fragola; Maria Rita Perrone; Pietro Alifano; Adelfia Talà; Salvatore Romano
Journal:  Toxins (Basel)       Date:  2021-07-24       Impact factor: 4.546

4.  Vitality of viruses, including SARS-CoV-2, in airborne particulate matter: the "micellar model" hypothesis.

Authors:  Emanuele Rizzo
Journal:  Environ Sci Pollut Res Int       Date:  2022-03-15       Impact factor: 5.190

5.  Simultaneous monitoring of SARS-CoV-2 and bacterial profiles from the air of hospital environments with COVID-19-affected patients.

Authors:  Maria Rita Perrone; Salvatore Romano; Giuseppe De Maria; Paolo Tundo; Anna Rita Bruno; Luigi Tagliaferro; Michele Maffia; Mattia Fragola
Journal:  Aerobiologia (Bologna)       Date:  2022-09-08       Impact factor: 2.376

6.  Compositional Data Analysis of 16S rRNA Gene Sequencing Results from Hospital Airborne Microbiome Samples.

Authors:  Maria Rita Perrone; Salvatore Romano; Giuseppe De Maria; Paolo Tundo; Anna Rita Bruno; Luigi Tagliaferro; Michele Maffia; Mattia Fragola
Journal:  Int J Environ Res Public Health       Date:  2022-08-16       Impact factor: 4.614

7.  An Integrative, Multiparametric Approach for the Comprehensive Assessment of Microbial Quality and Pollution in Aquaculture Systems.

Authors:  Loredana Stabili; Marco Di Salvo; Pietro Alifano; Adelfia Talà
Journal:  Microb Ecol       Date:  2021-05-04       Impact factor: 4.552

8.  Pollen Monitoring by Optical Microscopy and DNA Metabarcoding: Comparative Study and New Insights.

Authors:  Mattia Fragola; Augusto Arsieni; Nicola Carelli; Sabrina Dattoli; Sante Maiellaro; Maria Rita Perrone; Salvatore Romano
Journal:  Int J Environ Res Public Health       Date:  2022-02-24       Impact factor: 3.390

  8 in total

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