School of Environmental and Municipal Engineering, Lanzhou Jiaotong University, 730070, Lanzhou, People's Republic of China.
Environ Sci Pollut Res Int. 2021 Jun;28(24):31447-31461. doi: 10.1007/s11356-021-12955-1. Epub 2021 Feb 19.
Soil microbial community structure is altered by petroleum contamination in response to compound toxicity and degradation. Understanding the relation between petroleum contamination and soil microbial community structure is crucial to determine the amenability of contaminated soils to bacterial- and fungal-aided remediation. To understand how petroleum contamination and soil physicochemical properties jointly shaped the microbial structure of soils from different oilfields, high-throughput sequencing of 16S and ITS amplicons were used to evaluate the shifts of microbial communities in the petroleum-contaminated soils in Ughelli East (UE), Utorogu (UT), and Ughelli West (UW) oilfields located in Delta State, Nigeria. The results showed 1515 bacteria and 919 fungal average OTU number, and community richness and diversity, trending as AL > UT > UW > UE and AL > UW > UT > UE for bacteria, and AL > UW > UT > UE and UW > UT > AL > UE for fungi, respectively. The bacterial taxa KCM-B-112, unclassified Saccharibacteria, unclassified Rhizobiales, Desulfurellaceae, and Acidobacteriaceae and fungal Trichocomaceae, unclassified Ascomycota, unclassified Sporidiobolales, and unclassified Fungi were found to be the dominant families in petroleum-contaminated soils. Redundancy analysis (RDA) and Spearman's correlation analysis revealed that total carbon (TC), electric conductivity (EC), pH, and moisture content (MO) were the major drivers of bacterial and fungal communities, respectively. Gas chromatography-mass spectrophotometer (GC-MS) analysis exhibited that the differences in C-C, C-C, and C-C compounds in the crude oil composition and soil MO content jointly constituted the microbial community variance among the contaminated soils. This study revealed the bacterial and fungal communities responsible for the biodegradation of petroleum contamination from these oilfields, which could serve as biomarkers to monitor oil spill site restoration within these areas. Further studies on these contaminated sites could offer useful insights into other contributing factors such as heavy metals.
土壤微生物群落结构因石油污染而发生改变,以应对化合物毒性和降解。了解石油污染与土壤微生物群落结构之间的关系对于确定受污染土壤对细菌和真菌辅助修复的适宜性至关重要。为了了解石油污染和土壤理化性质如何共同塑造来自不同油田土壤的微生物结构,使用高通量测序 16S 和 ITS 扩增子来评估尼日利亚三角洲州 Ughelli East (UE)、Utorogu (UT) 和 Ughelli West (UW) 油田受石油污染土壤中微生物群落的变化。结果表明,细菌和真菌的平均 OTU 数、群落丰富度和多样性分别为 1515 和 919,趋势为 AL > UT > UW > UE 和 AL > UW > UT > UE。细菌的优势类群为 KCM-B-112、未分类的 Saccharibacteria、未分类的 Rhizobiales、Desulfurellaceae 和 Acidobacteriaceae,真菌的优势类群为 Trichocomaceae、未分类的 Ascomycota、未分类的 Sporidiobolales 和未分类的 Fungi。冗余分析 (RDA) 和 Spearman 相关性分析表明,总碳 (TC)、电导率 (EC)、pH 和水分含量 (MO) 分别是细菌和真菌群落的主要驱动因素。气相色谱-质谱联用仪 (GC-MS) 分析表明,原油成分中 C-C、C-C 和 C-C 化合物的差异以及土壤 MO 含量共同构成了受污染土壤中微生物群落的差异。本研究揭示了这些油田石油污染生物降解的细菌和真菌群落,可作为监测这些地区溢油现场修复的生物标志物。对这些污染场地的进一步研究可以为重金属等其他因素提供有用的见解。