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Investigation of bacterial and fungal population structure on environmental surfaces of three medical institutions during the COVID-19 pandemic

OBJECTIVES: To evaluate the population structure of environmental bacteria and fungi in three different types of medical institutions and the potential risks due to antibiotic resistance during the coronavirus disease 2019 (COVID-19) pandemic. METHODS: One hundred twenty-six environmental surface sa...

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Autores principales: Dai, Rongchen, Wu, Hanting, Liu, Guiming, Shen, Linlai, Geng, Yuanyuan, Zhang, Shu, Zhou, Haijian, Jiang, Canran, Gong, Jie, Fan, Xin, Ji, Conghua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10033641/
https://www.ncbi.nlm.nih.gov/pubmed/36970696
http://dx.doi.org/10.3389/fmicb.2023.1089474
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author Dai, Rongchen
Wu, Hanting
Liu, Guiming
Shen, Linlai
Geng, Yuanyuan
Zhang, Shu
Zhou, Haijian
Jiang, Canran
Gong, Jie
Fan, Xin
Ji, Conghua
author_facet Dai, Rongchen
Wu, Hanting
Liu, Guiming
Shen, Linlai
Geng, Yuanyuan
Zhang, Shu
Zhou, Haijian
Jiang, Canran
Gong, Jie
Fan, Xin
Ji, Conghua
author_sort Dai, Rongchen
collection PubMed
description OBJECTIVES: To evaluate the population structure of environmental bacteria and fungi in three different types of medical institutions and the potential risks due to antibiotic resistance during the coronavirus disease 2019 (COVID-19) pandemic. METHODS: One hundred twenty-six environmental surface samples were collected from three medical institutions during the COVID-19 pandemic. A total of 6,093 and 13,514 representative sequences of 16S and ITS ribosomal RNA (rRNA) were obtained by amplicon sequencing analysis. The functional prediction was performed using the Phylogenetic Investigation of Communities by Reconstruction of Unobserved States tool based on the Greengenes database and the FAPROTAX database. RESULTS: On environmental surfaces in three medical institutions during the COVID-19 pandemic, Firmicutes (51.6%) and Bacteroidetes (25%) were the dominant bacteria, while Ascomycota (39.4%) and Basidiomycota (14.2%) were the dominant fungi. A number of potential bacterial and fungal pathogens were successfully identified by the metagenomic approach. Furthermore, compared with the bacterial results, the fungi showed a generally closer Bray Curtis distance between samples. The overall ratio of Gram-negative bacteria to Gram-positive bacteria was about 3:7. The proportion of stress-tolerant bacteria in medical institutions A, B and C reached 88.9, 93.0 and 93.8%, respectively. Anaerobic bacteria accounted for 39.6% in outdoor environments, 77.7% in public areas, 87.9% in inpatient areas and 79.6% in restricted areas. Finally, the β-Lactam resistance pathway and polymyxin resistance pathway were revealed through functional prediction. CONCLUSION: We described the microbial population structure changes in three different types of medical institutions using the metagenomic approach during the COVID-19 pandemic. We found that the disinfection measures performed by three healthcare facilities may be effective on the “ESKAPE” pathogens, but less effective on fungal pathogens. Moreover, emphasis should be given to the prevention and control of β-lactam and polymyxin antibiotics resistance bacteria during the COVID-19 pandemic.
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spelling pubmed-100336412023-03-24 Investigation of bacterial and fungal population structure on environmental surfaces of three medical institutions during the COVID-19 pandemic Dai, Rongchen Wu, Hanting Liu, Guiming Shen, Linlai Geng, Yuanyuan Zhang, Shu Zhou, Haijian Jiang, Canran Gong, Jie Fan, Xin Ji, Conghua Front Microbiol Microbiology OBJECTIVES: To evaluate the population structure of environmental bacteria and fungi in three different types of medical institutions and the potential risks due to antibiotic resistance during the coronavirus disease 2019 (COVID-19) pandemic. METHODS: One hundred twenty-six environmental surface samples were collected from three medical institutions during the COVID-19 pandemic. A total of 6,093 and 13,514 representative sequences of 16S and ITS ribosomal RNA (rRNA) were obtained by amplicon sequencing analysis. The functional prediction was performed using the Phylogenetic Investigation of Communities by Reconstruction of Unobserved States tool based on the Greengenes database and the FAPROTAX database. RESULTS: On environmental surfaces in three medical institutions during the COVID-19 pandemic, Firmicutes (51.6%) and Bacteroidetes (25%) were the dominant bacteria, while Ascomycota (39.4%) and Basidiomycota (14.2%) were the dominant fungi. A number of potential bacterial and fungal pathogens were successfully identified by the metagenomic approach. Furthermore, compared with the bacterial results, the fungi showed a generally closer Bray Curtis distance between samples. The overall ratio of Gram-negative bacteria to Gram-positive bacteria was about 3:7. The proportion of stress-tolerant bacteria in medical institutions A, B and C reached 88.9, 93.0 and 93.8%, respectively. Anaerobic bacteria accounted for 39.6% in outdoor environments, 77.7% in public areas, 87.9% in inpatient areas and 79.6% in restricted areas. Finally, the β-Lactam resistance pathway and polymyxin resistance pathway were revealed through functional prediction. CONCLUSION: We described the microbial population structure changes in three different types of medical institutions using the metagenomic approach during the COVID-19 pandemic. We found that the disinfection measures performed by three healthcare facilities may be effective on the “ESKAPE” pathogens, but less effective on fungal pathogens. Moreover, emphasis should be given to the prevention and control of β-lactam and polymyxin antibiotics resistance bacteria during the COVID-19 pandemic. Frontiers Media S.A. 2023-03-09 /pmc/articles/PMC10033641/ /pubmed/36970696 http://dx.doi.org/10.3389/fmicb.2023.1089474 Text en Copyright © 2023 Dai, Wu, Liu, Shen, Geng, Zhang, Zhou, Jiang, Gong, Fan and Ji. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Microbiology
Dai, Rongchen
Wu, Hanting
Liu, Guiming
Shen, Linlai
Geng, Yuanyuan
Zhang, Shu
Zhou, Haijian
Jiang, Canran
Gong, Jie
Fan, Xin
Ji, Conghua
Investigation of bacterial and fungal population structure on environmental surfaces of three medical institutions during the COVID-19 pandemic
title Investigation of bacterial and fungal population structure on environmental surfaces of three medical institutions during the COVID-19 pandemic
title_full Investigation of bacterial and fungal population structure on environmental surfaces of three medical institutions during the COVID-19 pandemic
title_fullStr Investigation of bacterial and fungal population structure on environmental surfaces of three medical institutions during the COVID-19 pandemic
title_full_unstemmed Investigation of bacterial and fungal population structure on environmental surfaces of three medical institutions during the COVID-19 pandemic
title_short Investigation of bacterial and fungal population structure on environmental surfaces of three medical institutions during the COVID-19 pandemic
title_sort investigation of bacterial and fungal population structure on environmental surfaces of three medical institutions during the covid-19 pandemic
topic Microbiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10033641/
https://www.ncbi.nlm.nih.gov/pubmed/36970696
http://dx.doi.org/10.3389/fmicb.2023.1089474
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