Comparative study of the airborne microbial communities and their functional composition in fine particulate matter (PM2.5) under non-extreme and extreme PM2.5 conditions

被引:45
|
作者
Abd Aziz, Azilah [1 ]
Lee, Kwangyul [1 ]
Park, Byeonghyeok [2 ]
Park, Hongjae [2 ]
Park, Kihong [1 ]
Choi, In-Geol [2 ]
Chang, In Seop [1 ]
机构
[1] GIST, Sch Earth Sci & Environm Engn, 123 Cheorndangwagi Ro, Gwangju 61005, South Korea
[2] Korea Univ, Coll Life Sci & Biotechnol, 5 Anam Ro, Seoul 02841, South Korea
关键词
Airborne microorganism; Microbial community; Shotgun metagenomics; Fine particulate matter; PM2.5; Functional composition; ASIAN DUST EVENTS; BACTERIAL COMMUNITIES; SEASONAL VARIABILITY; CHEMICAL CHARACTERISTICS; HUMAN HEALTH; MG-RAST; METAGENOMICS; PARTICLES; FUNGI; DIVERSITY;
D O I
10.1016/j.atmosenv.2018.09.027
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Asian dust (AD) events increase environmental pollution and have a detrimental effect on human health. Particulate matter with an aerodynamic diameter < 2.5 mu m (PM2.5) and containing airborne microorganisms increases during AD events due to the transportation of dust by wind from several arid regions in China. This study analyzed the bacterial and fungal communities associated with average daily PM2.5 concentrations less than (on non-event day: ND) and exceeding (on event day: ED) the air quality standard (36 mu g PM(2.5)m(-3)) set by the Korean government. The taxon compositions and functional genes of airborne microorganisms were assessed using shotgun metagenomics sequencing and metagenome rapid annotation using subsystem technology (MGRAST) analysis. MG-RAST is an open source web application, serving as a platform that automatically analyzes uploaded metagenomes. During ND, 51% of total bacteria sequences consisted of those from Proteobacwria, which were closely related to nitrogen-fixing bacterial species. A high percentage of functional genes consisted of those genes related to nitrogen metabolism, suggesting that the airborne microorganisms are associated with environmental nitrogen cycles. During ED, 57% of total bacteria sequences consisted of those from Bacteroidetes, accompanied by high relative abundance of sequences from pathogenic species of Bacillus and Staphylococcus. Fungal sequences were mainly composed of those from the phyla Ascomycota and Basidiomycota, which include spore -forming species transported frequently by wind. The abundance of Ascomycota sequences was higher in ED (81%) than in ND (22%) samples, and mainly included those from the plant pathogens Phaeosphaeria and Pyrenophora. These findings indicated that microbial composition shifted from ND to ED samples, even at the phylum level. This switch was likely due to the sources of dust particles, with those during ED being primarily
引用
收藏
页码:82 / 92
页数:11
相关论文
共 50 条
  • [1] Fine Particulate Matter (PM2.5) and Chronic Kidney Disease
    Zhang, Yilin
    Liu, Dongwei
    Liu, Zhangsuo
    REVIEWS OF ENVIRONMENTAL CONTAMINATION AND TOXICOLOGY, VOL 254, 2021, 254 : 183 - 215
  • [2] Integrating nephelometer measurements for the airborne fine particulate matter (PM2.5) mass concentrations
    Shendrikar, AD
    Steinmetz, WK
    ATMOSPHERIC ENVIRONMENT, 2003, 37 (9-10) : 1383 - 1392
  • [3] Genotoxicity biomarkers for airborne particulate matter (PM2.5) in an area under petrochemical influence
    Lemos, Andreia Torres
    de Lemos, Clarice Torres
    Flores, Andressa Negreiros
    Pantoja, Eduarda Ozorio
    Vaz Rocha, Jocelita Aparecida
    Ferrao Vargas, Vera Maria
    CHEMOSPHERE, 2016, 159 : 610 - 618
  • [4] Infiltration Characteristic of Outdoor Fine Particulate Matter (PM2.5) for the Window Gaps
    Wan, Yali
    Chen, Chao
    Wang, Ping
    Wang, Yafeng
    Chen, Ziguang
    Zhao, Li
    9TH INTERNATIONAL SYMPOSIUM ON HEATING, VENTILATION AND AIR CONDITIONING (ISHVAC) JOINT WITH THE 3RD INTERNATIONAL CONFERENCE ON BUILDING ENERGY AND ENVIRONMENT (COBEE), 2015, 121 : 191 - 198
  • [5] Network Analysis of Fine Particulate Matter (PM2.5) Emissions in China
    Yan, Shaomin
    Wu, Guang
    SCIENTIFIC REPORTS, 2016, 6
  • [6] Variation in Tree Species Ability to Capture and Retain Airborne Fine Particulate Matter (PM2.5)
    Chen, Lixin
    Liu, Chenming
    Zhang, Lu
    Zou, Rui
    Zhang, Zhiqiang
    SCIENTIFIC REPORTS, 2017, 7
  • [7] Measurement and Analysis of Fine Particulate Matter (PM2.5) in Urban Areas of Pakistan
    Rasheed, Anjum
    Aneja, Viney P.
    Aiyyer, Anantha
    Rafique, Uzaira
    AEROSOL AND AIR QUALITY RESEARCH, 2015, 15 (02) : 426 - 439
  • [8] A Study on the Design Method of Indoor Fine Particulate Matter (PM2.5) Pollution Control in China
    Wang, Qingqin
    Fan, Dongye
    Zhao, Li
    Wu, Weiwei
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2019, 16 (23)
  • [9] Impacts of condensable particulate matter on atmospheric organic aerosols and fine particulate matter (PM2.5) in China
    Li, Mengying
    Yu, Shaocai
    Chen, Xue
    Li, Zhen
    Zhang, Yibo
    Song, Zhe
    Liu, Weiping
    Li, Pengfei
    Zhang, Xiaoye
    Zhang, Meigen
    Sun, Yele
    Liu, Zirui
    Sun, Caiping
    Jiang, Jingkun
    Wang, Shuxiao
    Murphy, Benjamin N.
    Alapaty, Kiran
    Mathur, Rohit
    Rosenfeld, Daniel
    Seinfeld, John H.
    ATMOSPHERIC CHEMISTRY AND PHYSICS, 2022, 22 (17) : 11845 - 11866
  • [10] Determinants of personal exposure to fine particulate matter (PM2.5) adult subjects in Hong Kong
    Chen, Xiao-Cui
    Ward, Tony J.
    Cao, Jun-Ji
    Lee, Shun-Cheng
    Chow, Judith C.
    Lau, Gabriel N. C.
    Yim, Steve H. L.
    Ho, Kin-Fai
    SCIENCE OF THE TOTAL ENVIRONMENT, 2018, 628-629 : 1165 - 1177