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Characterization of bacterial species and antibiotic resistance observed in Seoul, South Korea's popular Gangnam-gu area

Public transportation facilities, especially road crossings, which raise the pathogenic potential of urban environments, are the most conducive places for the transfer of germs between people and the environment. It is necessary to study the variety of the microbiome and describe its unique characte...

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Autores principales: Sharma, Shambhavi, Bakht, Ahtesham, Jahanzaib, Muhammad, Kim, Minkyeong, Lee, Hyunsoo, Park, Choonsoo, Park, Duckshin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10694155/
http://dx.doi.org/10.1016/j.heliyon.2023.e21751
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author Sharma, Shambhavi
Bakht, Ahtesham
Jahanzaib, Muhammad
Kim, Minkyeong
Lee, Hyunsoo
Park, Choonsoo
Park, Duckshin
author_facet Sharma, Shambhavi
Bakht, Ahtesham
Jahanzaib, Muhammad
Kim, Minkyeong
Lee, Hyunsoo
Park, Choonsoo
Park, Duckshin
author_sort Sharma, Shambhavi
collection PubMed
description Public transportation facilities, especially road crossings, which raise the pathogenic potential of urban environments, are the most conducive places for the transfer of germs between people and the environment. It is necessary to study the variety of the microbiome and describe its unique characteristics to comprehend these relationships. In this investigation, we used 16 S rRNA gene sample sequencing to examine the biological constituents and inhalable, thoracic, and alveolar particles in aerosol samples collected from busy areas in the Gangnam-gu district of the Seoul metropolitan area using a mobile vehicle. We also conducted a comparison analysis of these findings with the previously published data and tested for antibiotic resistance to determine the distribution of bacteria related to the human microbiome and the environment. Actinobacteria, Cyanobacteria, Bacteriodetes, Proteobacteria, and Firmicutes were the top five phyla in the bacterial 16 S rRNA libraries, accounting for >90 % of all readings across all examined locations. The most prevalent classes among the 12 found bacterial classes were Bacilli (45.812 %), Gammaproteobacteria (25.238 %), Tissierellia (13.078 %), Clostridia (5.697 %), and Alphaproteobacteria (5.142 %). The data acquired offer useful information on the variety of bacterial communities and their resistance to antibiotic drugs on the streets of Gangnam-gu, one of the most significant social centers in the Seoul metropolitan area. This work emphasizes the relevance of biological particles and particulate matter in the air, and it suggests more research is needed to perform biological characterization of the ambient particulate matter.
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spelling pubmed-106941552023-12-05 Characterization of bacterial species and antibiotic resistance observed in Seoul, South Korea's popular Gangnam-gu area Sharma, Shambhavi Bakht, Ahtesham Jahanzaib, Muhammad Kim, Minkyeong Lee, Hyunsoo Park, Choonsoo Park, Duckshin Heliyon Research Article Public transportation facilities, especially road crossings, which raise the pathogenic potential of urban environments, are the most conducive places for the transfer of germs between people and the environment. It is necessary to study the variety of the microbiome and describe its unique characteristics to comprehend these relationships. In this investigation, we used 16 S rRNA gene sample sequencing to examine the biological constituents and inhalable, thoracic, and alveolar particles in aerosol samples collected from busy areas in the Gangnam-gu district of the Seoul metropolitan area using a mobile vehicle. We also conducted a comparison analysis of these findings with the previously published data and tested for antibiotic resistance to determine the distribution of bacteria related to the human microbiome and the environment. Actinobacteria, Cyanobacteria, Bacteriodetes, Proteobacteria, and Firmicutes were the top five phyla in the bacterial 16 S rRNA libraries, accounting for >90 % of all readings across all examined locations. The most prevalent classes among the 12 found bacterial classes were Bacilli (45.812 %), Gammaproteobacteria (25.238 %), Tissierellia (13.078 %), Clostridia (5.697 %), and Alphaproteobacteria (5.142 %). The data acquired offer useful information on the variety of bacterial communities and their resistance to antibiotic drugs on the streets of Gangnam-gu, one of the most significant social centers in the Seoul metropolitan area. This work emphasizes the relevance of biological particles and particulate matter in the air, and it suggests more research is needed to perform biological characterization of the ambient particulate matter. Elsevier 2023-11-07 /pmc/articles/PMC10694155/ http://dx.doi.org/10.1016/j.heliyon.2023.e21751 Text en © 2023 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research Article
Sharma, Shambhavi
Bakht, Ahtesham
Jahanzaib, Muhammad
Kim, Minkyeong
Lee, Hyunsoo
Park, Choonsoo
Park, Duckshin
Characterization of bacterial species and antibiotic resistance observed in Seoul, South Korea's popular Gangnam-gu area
title Characterization of bacterial species and antibiotic resistance observed in Seoul, South Korea's popular Gangnam-gu area
title_full Characterization of bacterial species and antibiotic resistance observed in Seoul, South Korea's popular Gangnam-gu area
title_fullStr Characterization of bacterial species and antibiotic resistance observed in Seoul, South Korea's popular Gangnam-gu area
title_full_unstemmed Characterization of bacterial species and antibiotic resistance observed in Seoul, South Korea's popular Gangnam-gu area
title_short Characterization of bacterial species and antibiotic resistance observed in Seoul, South Korea's popular Gangnam-gu area
title_sort characterization of bacterial species and antibiotic resistance observed in seoul, south korea's popular gangnam-gu area
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10694155/
http://dx.doi.org/10.1016/j.heliyon.2023.e21751
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