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  • ISSN 1674-8301
  • CN 32-1810/R
Volume 33 Issue 6
Nov.  2019
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Sun Meiqing, Ding Zhanlin, Wang Hong, Yu Guangping, Feng Zhe, Li Bingzhi, Li Penghui. Gelatin filter capture-based high-throughput sequencing analysis of microbial diversity in haze particulate matter[J]. The Journal of Biomedical Research, 2019, 33(6): 414-421. DOI: 10.7555/JBR.33.20180121
Citation: Sun Meiqing, Ding Zhanlin, Wang Hong, Yu Guangping, Feng Zhe, Li Bingzhi, Li Penghui. Gelatin filter capture-based high-throughput sequencing analysis of microbial diversity in haze particulate matter[J]. The Journal of Biomedical Research, 2019, 33(6): 414-421. DOI: 10.7555/JBR.33.20180121
shu

Gelatin filter capture-based high-throughput sequencing analysis of microbial diversity in haze particulate matter

  • 1.

    Wuqing District Center for Disease Control and Prevention, Tianjin 301700, China

  • 2.

    Key Laboratory of Systems Bioengineering (Ministry of Education), School of Chemical Engineering and Technology, Tianjin University, Tianjin 300072, China

  • 3.

    School of Environmental Science and Safety Engineering, Tianjin University of Technology, Tianjin 300384, China

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  • Corresponding author:

    Bingzhi Li, Key Laboratory of Systems Bioengineering (Ministry of Education), School of Chemical Engineering and Technology, Tianjin University, Tianjin 300072, China. Tel: +86-22-27402503, E-mail: bzli@tju.edu.cn

    Penghui Li, School of Environmental Science and Safety Engineering, Tianjin University of Technology, Tianjin 300384, China. Tel: +86-22-60214184, E-mail: lipenghui406@163.com

  • Received Date: December 03, 2018
  • Revised Date: February 09, 2019
  • Accepted Date: February 27, 2019
  • Available Online: April 29, 2019
    Abstract
  • Airborne particulate matter (PM), especially PM2.5, can be easily adsorbed by human respiratory system. Their roles in carrying pathogens for spreading epidemic diseases has attracted great concern. Herein, we developed a novel gelatin filter-based and culture-independent method for investigation of the microbial diversity in PM samples during a haze episode in Tianjin, China. This method involves particle capture by gelatin filters, filter dissolution for DNA extraction, and high-throughput sequencing for analysis of the microbial diversity. A total of 584 operational taxonomic units (OTUs) of bacteria and 370 OTUs of fungi at the genus level were identified during hazy days. The results showed that both bacterial and fungal diversities could be evaluated by this method. This study provides a convenient strategy for investigation of microbial biodiversity in haze, facilitating accurate evaluation of airborne epidemic diseases.
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    • References (32)
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    Corresponding author: Li Penghui, lipenghui406@163.com
    • 3.

      School of Environmental Science and Safety Engineering, Tianjin University of Technology, Tianjin 300384, China

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