Airborne bacteria structure and chemical composition relationships in winter and spring PM10 samples over southeastern Italy

• DOI: 10.1016/j.scitotenv.2020.138899
• Publication Date: 2020-04-28T06:34:47Z
• Authors: S. Romano; S. Becagli; F. Lucarelli; G. Rispoli; M.R. Perrone
• Keywords: Chryseobacterium

The Redundancy Discrimination Analysis (RDA) and Spearman correlation coefficients were used to investigate relationships between airborne bacteria at the phylum genus level chemical species in winter spring PM10 samples over Southeastern Italy. identification of main species/pollution sources that related likely affected bacterial community structure was goal this work. 16S rRNA gene metabarcoding approach characterize bacteria. Seventeen phyla seventy-nine genera contributing each by mean within-sample relative abundance percentage > 0.01% identified samples, which chemically characterized for 33 species, including ions, metals, OC, EC (organic elemental carbon, respectively). Chemical associated with six different pollution sources. A shift from both mass concentrations/sources them observed. RDA triplots pointed out significant correlations all tested (genera) other and/or contrast coefficient results, showed few significantly correlated species. More specifically, Bacillus Chryseobacterium only particles soil-dust anthropogenic source, respectively. In spring, Enterobacter Sphingomonas marine sources, results study also best tool obtain unequivocal identifications seasonal changes composition, microbial structure, their suggested atmospheric may have contributed atmosphere.