Characteristics of bacterial communities in fine particulate matter of severe cold region, China
ZHOU Yu-wei1, LV Yang1, CHEN Xi1, WANG Hai-feng1, CHEN Bin1, LIU Tao2, HE Xin2, ZHANG Lei3
1. School of Civil Engineering, Dalian University of Technology, Dalian 116024, China;
2. School of Environment, Dalian University of Technology, Dalian 116024, China;
3. School of Geoscience, Northeast Petroleum University, Daqing 163318, China
Through the long-term monitoring of indoor and outdoor fine particles of 3building types (office, classroom and residence) for 110 samples in heating season of Daqing, a typical city in cold region of China, it analyzed the relationship between indoor and outdoor fine particles during heating season. Using 16S rDNA gene analysis method and BLAST source apportionment, the components and sources of bacterial communities in fine particles of 3building types indoors and outdoors were studied. The results showed that average mass concentrations of indoor and outdoor PM2.5 in Daqing were (32±22) and (45±34) μg/m3, respectively during heating season. The average permeability coefficient of office was lower (0.2886), classroom was higher (0.5702), and rural residence (0.6513) was larger than urban residence (0.6057) slightly. Firmicuts, Proteobacteria, Bacteroidetes and Oxyphotobacteria were the dominant bacterial phyla in fine particulate matter of Daqing during heating season on the whole. The sources for 3building types of bacteria in fine particulate matter indoors and outdoors were mainly soil, water, human, corrupt organic and faeces, while different building types and sampling sites led to different source proportions of bacteria.
魏复盛,滕恩江,吴国平.我国4个大城市空气PM2.5, PM10污染及其化学组成[J]. 中国环境监测, 2001,17(7):1-6. Wei F S, Teng E J, Wu G P. Airborne PM2.5, PM10 pollution and its chemical composition in four major cities in China[J]. China Environmental Monitoring, 2001,17(7):1-6.
[2]
Dockery D W, Pope C A, Xu X P, et al. An association between air pollution and morality in six United-States cities[J]. New England Journal of Medicine, 1993,329(24):753-759.
[3]
Dockery D W, Spengler J D. Indoor-outdoor relationships of respirable sulfates and particles[J]. Atmospheric Environment, 1981, 15(3):335-343.
[4]
Koutrakis P, Briggs S L K, Leaderer B P. Source apportionment of indoor aerosols in Suffolk and Onondaga Counties, New York[J]. Environmental Science & Technology, 1992,26(3):521-527.
[5]
Ozkaynak H, Xue J, Spengler J, et al. Personal exposure to airborne particles and metals:results from the Particle TEAM study in Riverside, California[J]. Journal of Exposure Analysis and Environmental Epidemiology, 1995,6(1):57-78.
[6]
熊志明,张国强,彭建国,等.室内可吸入颗粒物污染研究现状[J]. 暖通空调, 2004,34(4):32-36. Xiong Z M, Zhang G Q, Peng J G, et al. Research status of indoor inhalable particulate pollution[J]. HVAC, 2004,34(4):32-36.
[7]
霍奇森,江桂斌,汪海林,等.现代毒理学[M]. 北京:科学出版社, 2011. Huo Q S, Jiang G B, Wang H L, et al. Modern toxicology[M]. Beijing:science Press, 2011.
[8]
陶燕,羊德容,兰岚,等.兰州市空气污染对呼吸系统疾病入院人数的影响[J]. 中国环境科学, 2013,33(1):175-180. Tao Y, Yang D R, Lan L, et al. Effect of air pollution on hospitalization of respiratory diseases in Lanzhou[J]. China Environmental Science, 2013,33(1):175
[9]
Cao C, Jiang W, Wang B, et al. Inhalable Microorganisms in Beijing's PM2.5 and PM10 Pollutants during a Severe Smog Event[J]. environmental science & technology, 2014,48(3):1499-1507
[10]
郑云昊,李菁,要茂盛,等.生物气溶胶的昨天、今天和明天[J]. 科学通报, 2018,63(10):878-894. Zheng Y H, Li J, Yao M S, et al. Biological aerosols yesterday, today and tomorrow[J]. Scientific Bulletin, 2018,63(10):878-894.
[11]
Cao C, Jiang W, wang B, et al. Inhalable microorganisms in Beijing's PM2.5 and PM10 pollutants during a severe smog event[J]. Environmental Science & Technology, 2014,48(3):1499-1507.
[12]
王步英,郎继东,张丽娜,等.基于16s rRNA基因测序法分析北京霾污染过程中PM2.5和PM10细菌群落特征[J]. 环境科学, 2015,36(8):2727-2734. Wang B Y, Lang J D, Zhang L N, et al. The characteristics of PM2.5 and PM10 bacterial communities in the process of haze pollution in Beijing were analyzed by 16s rRNA gene sequencing[J]. Environmental Science, 2015,36(8):2727-2734.
[13]
苟欢歌,鲁建江,李珊蔓,等.乌鲁木齐市冬季大气颗粒物中细菌群落结构研究[C]. 中国环境科学学会学术年会论文集, 2015:4835-4841. Gou H G, Lu J J, Li S M, et al. Study on the structure of bacterial community in atmospheric particulate matter in Urumqi in winter[C]. Proceedings of the Annual meeting of the Chinese Society of Environmental Sciences, 2015:4835-4841.
[14]
Bertolini V, Gandolfi I, Ambrosini R, et al. Tempotal variability and effect of environmental variables on airborne bacterial communities in an urban area of Northern Italy[J].Applied microbiology and biotechnology, 2013,97(14):6561-6570.
[15]
Zhou C, Zhu X, Wang Z, et al. Gas-particle partitioning of PAHs in the urban air of Dalian, China:measurements and assessments[J]. Polycyclic Aromatic Compounds, 2013,33(1):31-51.
[16]
MacNeill M, Wallace L, Kearney J, et al. Factors influencing variability in the infiltration of PM2.5 mass and its components[J]. Atmospheric environment, 2012,61:518-532.
[17]
Fan R, Wang D, Mao C, et al. Preliminary study of children's exposure to PAHs and its association with 8-hydroxy-2'-deoxyguanosine in Guangzhou, China[J]. Environment international, 2012,42:53-58.
[18]
赖森潮,苏广宁,邹世春,等.广州市部分居室空气中PM2.5污染特征[J]. 环境与健康杂志, 2006,23(1):39-41. Lai S C, Su G N, Zou S C, et al. Characteristics of PM2.5 pollution in the air of some bedrooms in Guangzhou[J]. Journal of Environment and Health, 2006,23(1):39-41.
[19]
Martin M. Cutadapt removes adapter sequences from high-throughput sequencing reads[J]. Embnet Journal, 2011,17(1).
[20]
Edgar R C, Haas B J, Clemente J C, et al. UCHIME improves sensitivity and speed of chimera detection[J]. Bioinformatics, 2011, 27(16):2194-2200.
[21]
Haas B J, Gevers D, Earl A M, et al. Chimeric 16S rRNA sequence formation and detection in Sanger and 454-pyrosequenced PCR amplicons[J]. Genome research, 2011,21(3):494-504.
[22]
Edgar R C. UPARSE:highly accurate OTU sequences from microbial amplicon reads. Nature methods, 2013,10(10):996-998.
[23]
Wang Q, Garrity G M, Tiedje J M, et al. Naive Bayesian classifier for rapid assignment of rRNA sequences into the new bacterial taxonomy[J]. Applied and environmental microbiology, 2007,73(16):5261-5267.
[24]
Quast C, Pruesse E, Yilmaz P, et al. The SILVA ribosomal RNA gene database project:improved data processing and web-based tools[J]. Nucleic Acids Research, 2013,1(41):D590-D596.
[25]
Edgar R C. MUSCLE:multiple sequence alignment with high accuracy and high flux. Nucleic Acids Research, 2004,32:1792-1797.
[26]
Ott W, Wallace L, Mage D. Predicting particulate (PM10) personal exposure distributions using a random component superposition statistical model[J]. Journal of the air & waste management association, 2000,50(8):1390-1406.
[27]
Hystad P U, Setton E M, Allen R W, et al. Modeling residential fine particulate matter infiltration for exposure assessment[J]. Environmental Epidemiology, 2009,19(6):570-579.
[28]
Barnp, Larson T, Noullett M, et al. Infiltration of forest fire and residential wood smoke:an evaluation of air cleaner effectiveness[J]. Environmental Epidemiology, 2008,18(5):503-511.
[29]
宋颖.西安市秋冬季微生物气溶胶中细菌群落结构特征研究[D]. 西安:长安大学, 2017. Song Y. Study on the characteristics of bacterial Community structure in microbial Aerosol in Xi'an in Autumn and Winter[D]. Xi'an:Changan University, 2017.
[30]
姚文冲.基于高通量测序的南方典型旅游城市空气细菌群落特征研究[D]. 杭州:浙江工商大学, 2016. Yao W C. Study on characteristics of Air bacterial Community in typical tourist cities in South China based on High Flux sequencing[D]. Hangzhou:Zhejiang University of Industry and Commerce, 2016.
[31]
张昊.典型城市颗粒物中微生物的群落结构及环境因素影响研究[D]. 杭州:浙江大学, 2018. Zhang H. Study on the Community structure and Environmental factors of microorganisms in typical Urban particulate matter[D]. Hangzhou:Zhejiang University, 2018.
[32]
廖旭,胡安谊,杨晓永,等.厦门冬季PM2.5颗粒物中细菌和真核微生物群落组成及其来源分析[J]. 生态环境学报, 2013,22(8):1395-1400. Liao X, Hu A Y,Yang X Y, et al. Composition and source analysis of bacteria and eukaryotes in winter PM2.5 particles in Xiamen[J]. Journal of Ecological Environment, 2013,22(8):1395-1400.
