Engineering Research Center of Ministry of Education on Groundwater Pollution Control and Remediation, College of Water Sciences, Beijing Normal University, Beijing, 100875, China.
National Engineering Laboratory for Lake Pollution Control and Ecological Restoration, Chinese Research Academy of Environmental Sciences, Beijing, 100012, China.
Ecotoxicol Environ Saf. 2020 Oct 15;203:110931. doi: 10.1016/j.ecoenv.2020.110931. Epub 2020 Jul 15.
Numerous studies have enriched our knowledge of the microbial community composition and metabolic versatility of contaminated soil. However, there remains a substantial gap regarding the bioassembly patterns of the indigenous microbial community distribution in contaminated deep soils. Herein, the indigenous microbial community structure diversity, function, and co-occurrence relationships in aged PAH-contaminated deep soil collected from an abandoned chemical facility were investigated using high-throughput sequencing. The results showed that the dominant phyla in all samples were responsible for PAH degradation and included Proteobacteria (20.86%-81.37%), Chloroflexi (2.03%-28.44%), Firmicutes (3.06%-31.16%), Actinobacteria (2.92%-11.91%), Acidobacteria (0.41%-12.68%), and Nitrospirae (0.81%-9.21%). Eighty biomarkers were obtained by linear discriminant analysis of effect size (LEfSe), and most of these biomarkers were PAH degraders. Functional predictions using Tax4Fun indicated that the aged contaminated soil has the potential for PAH degradation. Statistical analysis showed that in contrast with the PAH concentration, edaphic properties (nutrients and pH) were significantly correlated (r > 0.25, P < 0.01) with the bacterial community and functional composition. Co-occurrence network analysis (modularity index of 0.781) revealed non-random assembly patterns of the bacterial communities in the PAH-contaminated soils. The modules in the network were mainly involved in carbon and nitrogen cycles, organic substance degradation, and biological electron transfer processes. Microbes from the same module had strong ecological linkages. Additionally, SAR202 clade, Thermoanaerobaculum, Nitrospira, and Xanthomonadales, which were identified as keystone species, played an irreplaceable role in the network. Overall, our results suggested that environmental factors such as nutrients and pH, together with ecological function, are the main factors driving the assembly of microbial communities in aged PAH-contaminated deep soils.
大量研究丰富了我们对污染土壤中微生物群落组成和代谢多样性的认识。然而,对于污染深层土壤中土著微生物群落分布的生物组装模式,我们仍有很大的认识空白。在此,我们使用高通量测序技术研究了来自废弃化工厂的老化多环芳烃污染深层土壤中土著微生物群落结构多样性、功能和共生关系。结果表明,所有样本中的优势门都负责多环芳烃降解,包括变形菌门(20.86%-81.37%)、绿弯菌门(2.03%-28.44%)、厚壁菌门(3.06%-31.16%)、放线菌门(2.92%-11.91%)、酸杆菌门(0.41%-12.68%)和硝化螺旋菌门(0.81%-9.21%)。通过线性判别分析效应大小(LEfSe)获得了 80 个生物标志物,其中大多数生物标志物为多环芳烃降解菌。使用 Tax4Fun 进行功能预测表明,老化污染土壤具有多环芳烃降解的潜力。统计分析表明,与多环芳烃浓度相比,土壤性质(养分和 pH 值)与细菌群落和功能组成呈显著相关(r > 0.25,P < 0.01)。共生网络分析(模块性指数为 0.781)揭示了多环芳烃污染土壤中细菌群落的非随机组装模式。网络中的模块主要涉及碳和氮循环、有机物质降解和生物电子传递过程。来自同一模块的微生物具有很强的生态联系。此外,SAR202 进化枝、Thermoanaerobaculum、硝化螺旋菌和黄单胞菌目被鉴定为关键种,在网络中发挥着不可替代的作用。总的来说,我们的研究结果表明,养分和 pH 值等环境因素以及生态功能是驱动老化多环芳烃污染深层土壤中微生物群落组装的主要因素。