Antibiotic Resistance as a Functional Characteristic of Urban Dust Particles’ Microbial Communities

Urban dust samples were collected in Moscow (Russia) in June 2021. The samples were collected in three functional zones of Moscow (traffic, residential, and recreational) and included air microparticles, leaf dust, and paved dust. Data on the taxonomic composition of bacterial communities were obtained for dust samples, and their functional characteristics were predicted using PICRUSt2 2.5.0 and FAPROTAX 1.8.0 software. The culturable part of the bacterial community was examined for the presence of antibiotic-resistant strains with respect to β-lactams, tetracyclines, amphenicols, and aminoglycosides. The presence of bacteria resistant to ceftazidime, cefepime, and tetracycline was detected in all dust samples. The presence of bacteria resistant to meropenem and amikacin was only observed in the dust collected from leaves in the residential and traffic zones. The overall abundance of cultured antibiotic-resistant bacteria from the total heterotrophs ranged from 0.03% to 1.88%, with the highest percentage observed in dust from the residential zone. Notably, strains resistant to all antibiotics tested were observed in the leaf dust bacterial community. © 2024 by the authors.

Authors
Vetrova A.A. , Ivanova A.A. , Petrikov K.V. , Gavrichkova O. , Korneykova M.V. , Sazonova O.I.
Publisher
MDPI
Issue number
12
Language
English
State
Published
Number
1022
Volume
13
Year
2024
Organizations
  • 1 Federal Research Center “Pushchino Scientific Center for Biological Research of the Russian Academy of Sciences”, Pushchino, 142290, Russian Federation
  • 2 Research Institute on Terrestrial Ecosystems, National Research Council, Porano, 05010, Italy
  • 3 Agrarian and Technological Institute, Peoples’ Friendship University of Russia (RUDN University), Moscow, 117198, Russian Federation
  • 4 Institute of North Industrial Ecology Problems, Subdivision of the Federal Research Center “Kola Science Centre of Russian Academy of Science”, Apatity, 184209, Russian Federation
Keywords
16S rRNA; antibiotic resistance; FAPROTAX; metabarcoding; microbiome; PICRUSt
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