Application of 16S rRNA metagenomics to analyze bacterial communities at a respiratory care centre in Taiwan

Verfasser / Beitragende:
[Chuan Tang, Siu-Ming Yiu, Han-Yueh Kuo, Te-Sheng Tan, Ki-Hok Liao, Chih-Chin Liu, Wing-Kai Hon, Ming-Li Liou]
Ort, Verlag, Jahr:
2015
Enthalten in:
Applied Microbiology and Biotechnology, 99/6(2015-03-01), 2871-2881
Format:
Artikel (online)
ID: 605499128
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024 7 0 |a 10.1007/s00253-014-6176-7  |2 doi 
035 |a (NATIONALLICENCE)springer-10.1007/s00253-014-6176-7 
245 0 0 |a Application of 16S rRNA metagenomics to analyze bacterial communities at a respiratory care centre in Taiwan  |h [Elektronische Daten]  |c [Chuan Tang, Siu-Ming Yiu, Han-Yueh Kuo, Te-Sheng Tan, Ki-Hok Liao, Chih-Chin Liu, Wing-Kai Hon, Ming-Li Liou] 
520 3 |a In this study, we applied a 16S ribosomal RNA (rRNA) metagenomics approach to survey inanimate hospital environments (IHEs) in a respiratory care center (RCC). A total of 16 samples, including 9 from medical devices and 7 from workstations, were analyzed. Besides, clinical isolates were retrospectively analyzed during the sampling period in the RCC. A high amount of microbial diversity was detected, with an average of 1,836 phylotypes per sample. In addition to Acinetobacter, more than 60% of the bacterial communities present among the top 25 abundant genera were dominated by skin-associated bacteria. Differences in bacterial profiles were restricted to individual samples. Furthermore, compliance with hand hygiene guidelines may be unsatisfactory among hospital staff according to a principal coordinate analysis that indicated clustering of bacterial communities between devices and workstations for most of the sampling sites. Compared to the high incidence of clinical isolates in the RCC, only Staphylococcus and Acinetobacter were highly abundant in the IHEs. Despite Acinetobacter was the most abundant genus present in IHEs of the RCC, potential pathogens, e.g., Acinetobacter baumannii, might remain susceptible to carbapenem. This study is the first in Taiwan to demonstrate a high diversity of human-associated bacteria in the RCC via 16S rRNA metagenomics, which allows for new assessment of potential health risks in RCCs, aids in the evaluation of existing sanitation protocols, and furthers our understanding of the development of healthcare-associated infections. 
540 |a Springer-Verlag Berlin Heidelberg, 2014 
690 7 |a 16S rRNA metagenomics  |2 nationallicence 
690 7 |a Healthcare-associated infection  |2 nationallicence 
690 7 |a Acinetobacter  |2 nationallicence 
690 7 |a Respiratory care center  |2 nationallicence 
700 1 |a Tang  |D Chuan  |u Department of Computer Science and Information Engineering, Providence University, Taichung County, Taiwan  |4 aut 
700 1 |a Yiu  |D Siu-Ming  |u Department of Computer Science, The University of Hong Kong, Hong Kong, China  |4 aut 
700 1 |a Kuo  |D Han-Yueh  |u Department of Medicine, National Taiwan University Hospital Hsin-Chu Branch, Hsin-Chu City, Taiwan  |4 aut 
700 1 |a Tan  |D Te-Sheng  |u Department of Computer Science, National Tsing Hua University, Hsin-Chu City, Taiwan  |4 aut 
700 1 |a Liao  |D Ki-Hok  |u Department of Computer Science, National Tsing Hua University, Hsin-Chu City, Taiwan  |4 aut 
700 1 |a Liu  |D Chih-Chin  |u Department of Computer Science and Information Engineering, Providence University, Taichung County, Taiwan  |4 aut 
700 1 |a Hon  |D Wing-Kai  |u Department of Computer Science, National Tsing Hua University, Hsin-Chu City, Taiwan  |4 aut 
700 1 |a Liou  |D Ming-Li  |u Department of Computer Science and Information Engineering, Providence University, Taichung County, Taiwan  |4 aut 
773 0 |t Applied Microbiology and Biotechnology  |d Springer Berlin Heidelberg  |g 99/6(2015-03-01), 2871-2881  |x 0175-7598  |q 99:6<2871  |1 2015  |2 99  |o 253 
856 4 0 |u https://doi.org/10.1007/s00253-014-6176-7  |q text/html  |z Onlinezugriff via DOI 
898 |a BK010053  |b XK010053  |c XK010000 
900 7 |a Metadata rights reserved  |b Springer special CC-BY-NC licence  |2 nationallicence 
908 |D 1  |a research-article  |2 jats 
949 |B NATIONALLICENCE  |F NATIONALLICENCE  |b NL-springer 
950 |B NATIONALLICENCE  |P 856  |E 40  |u https://doi.org/10.1007/s00253-014-6176-7  |q text/html  |z Onlinezugriff via DOI 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Tang  |D Chuan  |u Department of Computer Science and Information Engineering, Providence University, Taichung County, Taiwan  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Yiu  |D Siu-Ming  |u Department of Computer Science, The University of Hong Kong, Hong Kong, China  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Kuo  |D Han-Yueh  |u Department of Medicine, National Taiwan University Hospital Hsin-Chu Branch, Hsin-Chu City, Taiwan  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Tan  |D Te-Sheng  |u Department of Computer Science, National Tsing Hua University, Hsin-Chu City, Taiwan  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Liao  |D Ki-Hok  |u Department of Computer Science, National Tsing Hua University, Hsin-Chu City, Taiwan  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Liu  |D Chih-Chin  |u Department of Computer Science and Information Engineering, Providence University, Taichung County, Taiwan  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Hon  |D Wing-Kai  |u Department of Computer Science, National Tsing Hua University, Hsin-Chu City, Taiwan  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Liou  |D Ming-Li  |u Department of Computer Science and Information Engineering, Providence University, Taichung County, Taiwan  |4 aut 
950 |B NATIONALLICENCE  |P 773  |E 0-  |t Applied Microbiology and Biotechnology  |d Springer Berlin Heidelberg  |g 99/6(2015-03-01), 2871-2881  |x 0175-7598  |q 99:6<2871  |1 2015  |2 99  |o 253