Metagenomic analysis reveals the microbial response to petroleum contamination in oilfield soils

被引:4
|
作者
Liu, Qinglong [1 ]
He, Wenxiang [2 ]
Zhang, Wenzhu [1 ]
Wang, Lan [1 ]
Tang, Jingchun [1 ,3 ]
机构
[1] Nankai Univ, Coll Environm Sci & Engn, Tianjin Engn Ctr Environm Diag & Contaminat Remedi, MOE Key Lab Pollut Proc & Environm Criteria, Tianjin 300350, Peoples R China
[2] Northwest A&F Univ, Coll Nat Resources & Environm, Key Lab Plant Nutr & Agroenvironm Northwest China, Minist Agr, Yangling 712100, Shaanxi, Peoples R China
[3] Nankai Univ, Coll Environm Sci & Engn, 38 Tongyan Rd, Tianjin 300350, Peoples R China
基金
中国国家自然科学基金;
关键词
Petroleum contamination; Metagenomic analysis; Microbial community; Petroleum-degrading gene; Nitrogen cycle; LOESS PLATEAU; DIVERSITY; HYDROCARBONS; PHENANTHRENE; DEGRADATION; BACTERIA; PROTEIN; IMPACT; MARSH; RIVER;
D O I
10.1016/j.scitotenv.2023.168972
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The response of the microbes to total petroleum hydrocarbons (TPHs) in three types of oilfield soils was researched using metagenomic analysis. The ranges of TPH concentrations in the grassland, abandoned well, working well soils were 1.16 x 102-3.50 x 102 mg/kg, 1.14 x 103-1.62 x 104 mg/kg, and 5.57 x 103-3.33 x 104 mg/kg, respectively. The highest concentration of n-alkanes and 16 PAHs were found in the working well soil of Shengli (SL) oilfield compared with those in Nanyang (NY) and Yanchang (YC) oilfields. The abandoned well soils showed a greater extent of petroleum biodegradation than the grassland and working well soils. A-diversity indexes based on metagenomic taxonomy showed higher microbial diversity in grassland soils, whereas petroleum-degrading microbes Actinobacteria and Proteobacteria were more abundant in working and abandoned well soils. RDA demonstrated that low moisture content (MOI) in YC oilfield inhibited the accumulation of the petroleum-degrading microbes. Synergistic networks of functional genes and Spearman's correlation analysis showed that heavy petroleum contamination (over 2.10 x 104 mg/kg) negatively correlated with the abundance of the nitrogen fixation genes nifHK, however, in grassland soils, low petroleum content facilitated the accumulation of nitrogen fixation genes. A positive correlation was observed between the abundance of petroleum-degrading genes and denitrification genes (bphAa vs. nirD, todC vs. nirS, and nahB vs. nosZ), whereas a negative correlation was observed between alkB (alkane-degrading genes) and amo (ammonia oxidation), hao (nitrification). The ecotoxicity of petroleum contamination, coupled with petroleum hydrocarbons (PH) degra-dation competing with nitrifiers for ammonia inhibited ammonia oxidation and nitrification, whereas PH metabolism promoted the denitrification process. Moreover, positive correlations were observed between the abundance of amo gene and MOI, as well as between the abundance of the dissimilatory nitrate reduction gene nirA and clay content. Thus, improving the soil physicochemical properties is a promising approach for decreasing nitrogen loss and alleviating petroleum contamination in oilfield soils.
引用
收藏
页数:11
相关论文
共 50 条
  • [21] Integrative metagenomic analysis reveals distinct gut microbial signatures related to obesity
    Hu, Xinliang
    Yu, Chong
    He, Yuting
    Zhu, Songling
    Wang, Shuang
    Xu, Ziqiong
    You, Shaohui
    Jiao, Yanlei
    Liu, Shu-Lin
    Bao, Hongxia
    [J]. BMC MICROBIOLOGY, 2024, 24 (01)
  • [22] Metagenomic analysis reveals the microbial degradation mechanism during kitchen waste biodrying
    Cai, Lu
    Guo, Han-Tong
    Zheng, Guo-Di
    Wang, Xin-Yu
    Wang, Kan
    [J]. Chemosphere, 2022, 307
  • [23] Integrative metagenomic analysis reveals distinct gut microbial signatures related to obesity
    Xinliang Hu
    Chong Yu
    Yuting He
    Songling Zhu
    Shuang Wang
    Ziqiong Xu
    Shaohui You
    Yanlei Jiao
    Shu-Lin Liu
    Hongxia Bao
    [J]. BMC Microbiology, 24
  • [24] Metagenomic Analysis of Microbial Community Affiliated with Termitarium Reveals High Lignocellulolytic Potential
    Arumugam, Manjula
    Sundararaju, Sathyavathi
    Jagadesan, Sankarasubramanian
    Gunasekaran, Paramasamy
    Rajendhran, Jeyaprakash
    [J]. CURRENT MICROBIOLOGY, 2021, 78 (04) : 1551 - 1565
  • [25] Metagenomic analysis reveals microbial diversity and function in the rhizosphere soil of a constructed wetland
    Bai, Yaohui
    Liang, Jinsong
    Liu, Ruiping
    Hu, Chengzhi
    Qu, Jiuhui
    [J]. ENVIRONMENTAL TECHNOLOGY, 2014, 35 (20) : 2521 - 2527
  • [26] Metagenomic analysis reveals the microbial degradation mechanism during kitchen waste biodrying
    Cai, Lu
    Guo, Han-Tong
    Zheng, Guo-Di
    Wang, Xin-Yu
    Wang, Kan
    [J]. CHEMOSPHERE, 2022, 307
  • [27] Metagenomic analysis reveals functional genes in soil microbial electrochemical removal of tetracycline
    Zhao, Xiaodong
    Li, Xiaojing
    Li, Yue
    Zhang, Xiaolin
    Zhai, Feihong
    Ren, Tianzhi
    Li, Yongtao
    [J]. JOURNAL OF HAZARDOUS MATERIALS, 2021, 408
  • [28] Metagenomic Analysis of Microbial Community Affiliated with Termitarium Reveals High Lignocellulolytic Potential
    Manjula Arumugam
    Sathyavathi Sundararaju
    Sankarasubramanian Jagadesan
    Paramasamy Gunasekaran
    Jeyaprakash Rajendhran
    [J]. Current Microbiology, 2021, 78 : 1551 - 1565
  • [29] Ecological network analysis reveals distinctive microbial modules associated with heavy metal contamination of abandoned mine soils in Korea
    Chun, Seong-Jun
    Kim, Young-Joong
    Cui, Yingshun
    Nam, Kyong-Hee
    [J]. ENVIRONMENTAL POLLUTION, 2021, 289
  • [30] Microbial Community Analysis of Soils Contaminated with Lead, Chromium and Petroleum Hydrocarbons
    Janet Joynt
    Marianne Bischoff
    Ron Turco
    Allan Konopka
    Cindy H. Nakatsu
    [J]. Microbial Ecology, 2006, 51 : 209 - 219