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沉积物缓解抗生素对反硝化的抑制作用:功能基因、微生物群落和抗生素抗性基因分析。

Sediments alleviate the inhibition effects of antibiotics on denitrification: Functional gene, microbial community, and antibiotic resistance gene analysis.

机构信息

College of Environmental Sciences and Engineering, Peking University, The Key Laboratory of Water and Sediment Sciences, Ministry of Education, Beijing 100871, China; State Environmental Protection Key Laboratory of All Material Fluxes in River Ecosystems, International Joint Laboratory for Regional Pollution Control, Ministry of Education, Beijing 100871, China.

College of Environmental Sciences and Engineering, Peking University, The Key Laboratory of Water and Sediment Sciences, Ministry of Education, Beijing 100871, China; State Environmental Protection Key Laboratory of All Material Fluxes in River Ecosystems, International Joint Laboratory for Regional Pollution Control, Ministry of Education, Beijing 100871, China.

出版信息

Sci Total Environ. 2022 Jan 15;804:150092. doi: 10.1016/j.scitotenv.2021.150092. Epub 2021 Sep 7.

Abstract

Both antibiotics and sediments can affect the denitrification in aquatic systems. However, little is known how antibiotics influence the denitrification in the presence of sediments. Here, the effects of antibiotics (sulfamethoxazole, tetracycline and ofloxacin) on denitrification in the absence and presence of sediments were investigated. The influencing mechanisms were revealed by quantifying the denitrification functional genes (DNGs), 16S-seq of bacteria, and antibiotic resistance genes (ARGs). The results showed that the presence of antibiotics inhibited NO-N reduction by decreasing the abundances of narG, nirK, nosZ, total DNGs, and denitrifying bacteria. However, the inhibition effect was alleviated by sediments, which promoted the growth of bacteria and decreased the selective pressure of antibiotics as the vector of bacteria and antibiotics, thus increasing the abundances of denitrifying bacteria and all the DNGs. Partial least-squares path model disclosed that antibiotics had negative effects on bacteria, ARGs and DNGs, while sediments had negative effects on ARGs but positive effects on bacteria and DNGs. The network analysis further revealed the close relation of the genera Bacillus, Acinetobacter, and Enterobacter with the ARGs and DNGs. The findings are helpful to understand the denitrification in antibiotic-polluted natural waters.

摘要

抗生素和沉积物都可以影响水生系统中的反硝化作用。然而,对于抗生素在沉积物存在的情况下如何影响反硝化作用,人们知之甚少。本研究在无沉积物和有沉积物的条件下,考察了抗生素(磺胺甲恶唑、四环素和氧氟沙星)对反硝化作用的影响。通过定量测定反硝化功能基因(DNGs)、细菌 16S-seq 和抗生素抗性基因(ARGs),揭示了影响机制。结果表明,抗生素的存在通过降低 narG、nirK、nosZ、总 DNGs 和反硝化细菌的丰度,抑制了 NO-N 的还原。然而,沉积物的存在减轻了这种抑制作用,因为沉积物促进了细菌的生长,并降低了抗生素作为细菌和抗生素载体的选择压力,从而增加了反硝化细菌和所有 DNGs 的丰度。偏最小二乘路径模型显示,抗生素对细菌、ARGs 和 DNGs 有负面影响,而沉积物对 ARGs 有负面影响,但对细菌和 DNGs 有正面影响。网络分析进一步揭示了芽孢杆菌、不动杆菌和肠杆菌属与 ARGs 和 DNGs 的密切关系。这些发现有助于理解抗生素污染的天然水中的反硝化作用。

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