Study on the spatial distribution of ureolytic microorganisms in farmland soil around tailings with different heavy metal pollution

被引:69
|
作者
Hu, Xuesong [1 ]
Liu, Xiaoxia [2 ]
Qiao, Longkai [1 ]
Zhang, Shuo [1 ]
Su, Kaiwen [1 ]
Qiu, Ziliang [1 ]
Li, Xianhong [1 ]
Zhao, Qiancheng [1 ]
Yu, Caihong [1 ]
机构
[1] China Univ Min & Technol Beijing, Sch Chem & Environm Engn, Beijing 100083, Peoples R China
[2] MOA, Beijing Stn Agroenvironm Monitoring, Test & Supervis Ctr Agroenvironm Qual, Beijing 100032, Peoples R China
基金
中国国家自然科学基金;
关键词
Ureolytic microbial community; ureC gene; Metagenome; Horizontal and vertical; Farmland soil; PARTICLE-SIZE FRACTIONS; MICROBIAL COMMUNITY; CARBONATE PRECIPITATION; HELICOBACTER-PYLORI; BACTERIAL DIVERSITY; CONTAMINATED SOIL; UREASE ACTIVITY; PB; ABUNDANCE; CALCITE;
D O I
10.1016/j.scitotenv.2021.144946
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Ureolytic microorganisms, a kind of microorganism which can secrete urease and decompose urea, have great potential in remediation of soil heavy metals based on microbial induced carbonate precipitation. However, the horizontal and vertical distribution of ureolytic microbial community in heavy metals contaminated soils is poorly understood. In this study, urease genes in agricultural soils surrounding tailings were first investigated using metagenomic in two dimensions: heavy metal pollution (Low-L, Middle-M, High-H) and soil depth (0-20 cm, 20-40 cm, 40-60 cm, 60-80 cm, 80-100 cm). Results showed that the effect of heavy metal concentration on ureolytic microorganisms was indeed significant, while the changes of ureolytic microorganisms with increasing soil depth varied in the vertical direction at the same level of heavy metal contamination. H site had the highest diversity of ureolytic microorganisms except for the topsoil. And at the same heavy metal contamination level, the ureolytic microbial diversity was lower in deeper soils. Proteobacteria, Actinobacteria and Thaumarchaeota (Archaea) were the dominant phyla of ureolytic microorganisms in all three sites, accounting for more than 80% of the total. However, the respond to the heavy metal concentrations of three phyla were different, which were increasing, decreasing and essentially unchanged, respectively. Besides, other environmental factors such as SOM and pH had different effects on ureolytic microorganisms, with Proteobacteria being positively correlated and Actinobacteria being the opposite. Another phenomenon was that Actinobacteria and Verrucomicrobia were biomarkers of group L, which could significantly explain the difference with the other two sites. These results provided valuable information for further research on the response mechanism and remediation of heavy metal pollution by ureolytic microbial system. (c) 2021 Published by Elsevier B.V.
引用
收藏
页数:12
相关论文
共 50 条
  • [41] Spatial distribution characteristics and risk assessment of soil heavy metal pollution around typical coal gangue hill located in Fengfeng Mining area
    Song, Shijie
    Peng, Ruisi
    Wang, Yi
    Cheng, Xing
    Niu, Ruilin
    Ruan, Hao
    ENVIRONMENTAL GEOCHEMISTRY AND HEALTH, 2023, 45 (10) : 7215 - 7236
  • [42] Spatial distribution characteristics and risk assessment of soil heavy metal pollution around typical coal gangue hill located in Fengfeng Mining area
    Shijie Song
    Ruisi Peng
    Yi Wang
    Xing Cheng
    Ruilin Niu
    Hao Ruan
    Environmental Geochemistry and Health, 2023, 45 : 7215 - 7236
  • [43] Spatial Contamination and Potential Ecological Risk Assessment of Heavy Metals in Farmland Soil around Nonferrous Metal Smeltery in North China
    Han, Dongmei
    Li, Xiliang
    Wang, Menglu
    Liang, Shuxuan
    MINERALS, 2021, 11 (12)
  • [44] Spatial Distribution Characteristics, Pollution, and Ecological Risk Assessment of Soil Heavy Metals Around Mercury Mining Areas
    Wang R.
    Deng H.
    Jia Z.-M.
    Wang J.-B.
    Yu F.
    Zeng Q.-Q.
    Huanjing Kexue/Environmental Science, 2021, 42 (06): : 3018 - 3027
  • [45] Assessment of Heavy Metal Pollution in Soil Around a plastic metal factory in Jiaxing, China
    Liu, Ting-ting
    Hu, Wen-zhen
    Wang, Guo-fang
    Xue, Jia-ping
    2019 5TH INTERNATIONAL CONFERENCE ON ADVANCES IN ENERGY RESOURCES AND ENVIRONMENT ENGINEERING (ICAESEE 2019), 2020, 446
  • [46] Assessment of Pollution and Distribution of Heavy Metals in the Soil Near the Flotation Tailings Gornje Polje
    Galjak, Jovana
    Dokic, Jelena
    Dervisevic, Irma
    Milentijevic, Gordana
    Mojsic, Miljan
    Zivkovic, Bojana
    POLISH JOURNAL OF ENVIRONMENTAL STUDIES, 2022, 31 (05): : 4097 - 4106
  • [47] Pollution Characteristics, Spatial Distribution, and Evaluation of Heavy Metal(loid)s in Farmland Soils in a Typical Mountainous Hilly Area in China
    Shen, Guohui
    Ru, Xin
    Gu, Yanting
    Liu, Wei
    Wang, Kunzhen
    Li, Baiyi
    Guo, Yanzhi
    Han, Juan
    FOODS, 2023, 12 (03)
  • [48] Review of the Spatial Distribution, Source and Extent of Heavy Metal Pollution of Soil in China: Impacts and Mitigation Approaches
    Sodango, Terefe Hanchiso
    Li, Xiaomei
    Sha, Jinming
    Bao, Zhongcong
    JOURNAL OF HEALTH AND POLLUTION, 2018, 8 (17) : 53 - 70
  • [49] Spatial Variation and Assessment of Heavy Metal and Radioactive Risk in Farmland around a Retired Uranium Mine
    Liang, Jie
    Shi, Chen-hao
    Zeng, Guang-ming
    Zhong, Min-zhou
    Yuan, Yu-jie
    8TH INTERNATIONAL CONFERENCE ON ENVIRONMENTAL SCIENCE AND TECHNOLOGY (ICEST 2017), 2017, 78
  • [50] Characteristics and Source Analysis of Heavy Metal Pollution in Farmland Around a Coal-fired Power Plant
    Zhang J.
    Li X.
    Liu L.-Y.
    Li Y.-R.
    Huanjing Kexue/Environmental Science, 2023, 44 (12): : 6921 - 6932