Inhalable Microorganisms in Beijing’s PM2.5 and PM10 Pollutants during a Severe Smog Event

微生物 污染物 微粒 基因组 环境科学 北京 污染 空气污染 环境化学 生物 细菌 生态学 地理 化学 基因 考古 中国 生物化学 遗传学
作者
Chen Cao,Wenjun Jiang,Buying Wang,Jianhuo Fang,Jidong Lang,Geng Tian,Jingkun Jiang,Ting Zhu
出处
期刊:Environmental Science & Technology [American Chemical Society]
卷期号:48 (3): 1499-1507 被引量:681
标识
DOI:10.1021/es4048472
摘要

Particulate matter (PM) air pollution poses a formidable public health threat to the city of Beijing. Among the various hazards of PM pollutants, microorganisms in PM2.5 and PM10 are thought to be responsible for various allergies and for the spread of respiratory diseases. While the physical and chemical properties of PM pollutants have been extensively studied, much less is known about the inhalable microorganisms. Most existing data on airborne microbial communities using 16S or 18S rRNA gene sequencing to categorize bacteria or fungi into the family or genus levels do not provide information on their allergenic and pathogenic potentials. Here we employed metagenomic methods to analyze the microbial composition of Beijing's PM pollutants during a severe January smog event. We show that with sufficient sequencing depth, airborne microbes including bacteria, archaea, fungi, and dsDNA viruses can be identified at the species level. Our results suggested that the majority of the inhalable microorganisms were soil-associated and nonpathogenic to human. Nevertheless, the sequences of several respiratory microbial allergens and pathogens were identified and their relative abundance appeared to have increased with increased concentrations of PM pollution. Our findings may serve as an important reference for environmental scientists, health workers, and city planners.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
研友_LwlAgn完成签到,获得积分10
4秒前
MoChin完成签到,获得积分10
4秒前
4秒前
4秒前
jhy完成签到 ,获得积分10
5秒前
笨笨发布了新的文献求助30
5秒前
思源的应助被西南林彭于晏采纳,获得10
7秒前
谷云完成签到,获得积分10
10秒前
风趣秋白完成签到,获得积分0
11秒前
哈哈哈的应助被zyy采纳,获得10
12秒前
桐桐的应助被魔修采纳,获得10
12秒前
13秒前
14秒前
UAECT完成签到,获得积分10
14秒前
15秒前
ygh完成签到,获得积分10
15秒前
Nole的应助被JIW采纳,获得10
15秒前
16秒前
西南林彭于晏完成签到,获得积分10
16秒前
秋风的应助被naikuizi采纳,获得10
16秒前
meng若发布了新的文献求助10
18秒前
耸耸完成签到 ,获得积分10
18秒前
18秒前
19秒前
英俊的铭的应助被高昱菲采纳,获得10
19秒前
苯巴比妥完成签到,获得积分10
19秒前
20秒前
FashionBoy的应助被Lwm采纳,获得10
21秒前
21秒前
22秒前
22秒前
zzuli_liu完成签到,获得积分10
23秒前
大个的应助被逐梦小绳采纳,获得10
23秒前
李健的应助被和田玉采纳,获得10
23秒前
Akim的应助被好事成双采纳,获得10
24秒前
25秒前
红糖馒头发布了新的文献求助10
26秒前
hamzhang0426发布了新的文献求助10
26秒前
B_lue完成签到 ,获得积分10
26秒前
XiaonanTang完成签到 ,获得积分10
27秒前
高分求助中
(应助此贴封号)通过应助OA文献获取积分 10000
Rosenblum, Global Change Biology 800
Computational Chemical Reaction Engineering: Modeling, Simulation, and Design with MATLAB 600
Organizational Behavior 510
Management and the Arts 510
A Will for the Machine: Computerization, Automation, and the Arts in South Africa 400
Decentring Leadership 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 计算机科学 工程类 纳米技术 内科学 物理 有机化学 化学工程 生物化学 复合材料 光电子学 细胞生物学 心理学 量子力学 催化作用 物理化学 电极
热门帖子
关注 科研通微信公众号,转发送积分 7810206
求助须知:如何正确求助?哪些是违规求助? 9342090
关于积分的说明 20510773
捐赠科研通 7403078
什么是DOI,文献DOI怎么找? 3329336
关于科研通互助平台的介绍 2476182
邀请新用户注册赠送积分活动 2348212