Xu Rui, Tao Wan, Lin Hanzhi, Huang Duanyi, Su Pingzhou, Gao Pin, Sun Xiaoxu, Yang Zhaohui, Sun Weimin
National-Regional Joint Engineering Research Center for Soil Pollution Control and Remediation in South China, Guangdong Key Laboratory of Integrated Agro-Environmental Pollution Control and Management, Institute of Eco-Environmental and Soil Sciences, Guangdong Academy of Sciences, Guangzhou, 510650, China.
Guangdong-Hong Kong-Macao Joint Laboratory for Environmental Pollution and Control, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou, 510640, China.
Microb Ecol. 2022 May;83(4):929-941. doi: 10.1007/s00248-021-01808-6. Epub 2021 Jul 20.
The extensive application of perfluoroalkyl and polyfluoroalkyl substances (PFASs) causes their frequent detection in various environments. In this work, two typical PFASs, perfluorooctanoic acid (PFOA) and perfluorooctanesulfonic acid (PFOS), are selected to investigate their effects on soil microorganisms. Microbial community structure and microbe-microbe relationships were investigated by high-throughput sequencing and co-occurrence network analysis. Under 90 days of exposure, the alpha-diversity of soil microbial communities was increased with the PFOS treatment, followed by the PFOA treatment. The exposure of PFASs substantially changed the compositions of soil microbial communities, leading to the enrichment of more PFASs-tolerant bacteria, such as Proteobacteria, Burkholderiales, and Rhodocyclales. Comparative co-occurrence networks were constructed to investigate the microbe-microbe interactions under different PFASs treatments. The majority of nodes in the PFOA and PFOS networks were associated with the genus Azospirillum and Hydrogenophaga, respectively. The LEfSe analysis further identified a set of biomarkers in the soil microbial communities, such as Azospirillum, Methyloversatilis, Hydrogenophaga, Pseudoxanthomonas, and Fusibacter. The relative abundances of these biomarkers were also changed by different PFASs treatments. Functional gene prediction suggested that the microbial metabolism processes, such as nucleotide transport and metabolism, cell motility, carbohydrate transport and metabolism, energy production and conversion, and secondary metabolites biosynthesis transport and catabolism, might be inhibited under PFAS exposure, which may further affect soil ecological services.
全氟烷基和多氟烷基物质（PFASs）的广泛应用导致它们在各种环境中频繁被检测到。在这项工作中，选择了两种典型的PFASs，全氟辛酸（PFOA）和全氟辛烷磺酸（PFOS），来研究它们对土壤微生物的影响。通过高通量测序和共现网络分析研究了微生物群落结构和微生物-微生物关系。在暴露90天的情况下，PFOS处理使土壤微生物群落的α多样性增加，其次是PFOA处理。PFASs的暴露显著改变了土壤微生物群落的组成，导致更多耐PFASs细菌的富集，如变形菌门、伯克霍尔德氏菌目和红环菌目。构建了比较共现网络以研究不同PFASs处理下的微生物-微生物相互作用。PFOA和PFOS网络中的大多数节点分别与固氮螺菌属和嗜氢菌属相关。LEfSe分析进一步确定了土壤微生物群落中的一组生物标志物，如固氮螺菌属、甲基嗜盐碱杆菌属、嗜氢菌属、假黄单胞菌属和梭杆菌属。不同PFASs处理也改变了这些生物标志物的相对丰度。功能基因预测表明，在PFAS暴露下，微生物代谢过程，如核苷酸转运和代谢、细胞运动、碳水化合物转运和代谢、能量产生和转换以及次级代谢产物生物合成转运和分解代谢，可能会受到抑制，这可能会进一步影响土壤生态服务功能。
