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Characterization of the public transit air microbiome and resistome reveals geographical specificity.
Leung, M H Y; Tong, X; Bøifot, K O; Bezdan, D; Butler, D J; Danko, D C; Gohli, J; Green, D C; Hernandez, M T; Kelly, F J; Levy, S; Mason-Buck, G; Nieto-Caballero, M; Syndercombe-Court, D; Udekwu, K; Young, B G; Mason, C E; Dybwad, M; Lee, P K H.
Affiliation
  • Leung MHY; School of Energy and Environment, City University of Hong Kong, Hong Kong SAR, China.
  • Tong X; School of Energy and Environment, City University of Hong Kong, Hong Kong SAR, China.
  • Bøifot KO; Comprehensive Defence Division, Norwegian Defence Research Establishment FFI, Kjeller, Norway.
  • Bezdan D; Department of Analytical, Environmental & Forensic Sciences, King's College London, London, UK.
  • Butler DJ; Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA.
  • Danko DC; Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA.
  • Gohli J; Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA.
  • Green DC; Comprehensive Defence Division, Norwegian Defence Research Establishment FFI, Kjeller, Norway.
  • Hernandez MT; Department of Analytical, Environmental & Forensic Sciences, King's College London, London, UK.
  • Kelly FJ; Environmental Engineering Program, College of Engineering and Applied Science, University of Colorado, Boulder, CO, USA.
  • Levy S; Department of Analytical, Environmental & Forensic Sciences, King's College London, London, UK.
  • Mason-Buck G; HudsonAlpha Institute of Biotechnology, Huntsville, AL, USA.
  • Nieto-Caballero M; Department of Analytical, Environmental & Forensic Sciences, King's College London, London, UK.
  • Syndercombe-Court D; Environmental Engineering Program, College of Engineering and Applied Science, University of Colorado, Boulder, CO, USA.
  • Udekwu K; Department of Analytical, Environmental & Forensic Sciences, King's College London, London, UK.
  • Young BG; Department of Aquatic Sciences & Assessment, Swedish University of Agriculture, Uppsala, Sweden.
  • Mason CE; Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA.
  • Dybwad M; Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA. chm2042@med.cornell.edu.
  • Lee PKH; The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA. chm2042@med.cornell.edu.
Microbiome ; 9(1): 112, 2021 05 26.
Article in En | MEDLINE | ID: mdl-34039416
ABSTRACT

BACKGROUND:

The public transit is a built environment with high occupant density across the globe, and identifying factors shaping public transit air microbiomes will help design strategies to minimize the transmission of pathogens. However, the majority of microbiome works dedicated to the public transit air are limited to amplicon sequencing, and our knowledge regarding the functional potentials and the repertoire of resistance genes (i.e. resistome) is limited. Furthermore, current air microbiome investigations on public transit systems are focused on single cities, and a multi-city assessment of the public transit air microbiome will allow a greater understanding of whether and how broad environmental, building, and anthropogenic factors shape the public transit air microbiome in an international scale. Therefore, in this study, the public transit air microbiomes and resistomes of six cities across three continents (Denver, Hong Kong, London, New York City, Oslo, Stockholm) were characterized.

RESULTS:

City was the sole factor associated with public transit air microbiome differences, with diverse taxa identified as drivers for geography-associated functional potentials, concomitant with geographical differences in species- and strain-level inferred growth profiles. Related bacterial strains differed among cities in genes encoding resistance, transposase, and other functions. Sourcetracking estimated that human skin, soil, and wastewater were major presumptive resistome sources of public transit air, and adjacent public transit surfaces may also be considered presumptive sources. Large proportions of detected resistance genes were co-located with mobile genetic elements including plasmids. Biosynthetic gene clusters and city-unique coding sequences were found in the metagenome-assembled genomes.

CONCLUSIONS:

Overall, geographical specificity transcends multiple aspects of the public transit air microbiome, and future efforts on a global scale are warranted to increase our understanding of factors shaping the microbiome of this unique built environment.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Microbiota Type of study: Prognostic_studies Limits: Humans Country/Region as subject: Asia Language: En Journal: Microbiome Year: 2021 Document type: Article Affiliation country: China

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Microbiota Type of study: Prognostic_studies Limits: Humans Country/Region as subject: Asia Language: En Journal: Microbiome Year: 2021 Document type: Article Affiliation country: China