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生物炭添加对活性污泥微生物群落中环丙沙星及其相关抗生素抗性命运的影响。

Effects of biochar addition on the fate of ciprofloxacin and its associated antibiotic tolerance in an activated sludge microbiome.

机构信息

Department of Civil Engineering, Kyung Hee University, 1732 Deogyeong-daero, Yongin-si, Gyeonggi-do, 17104, Republic of Korea.

Department of Civil Engineering, Kyung Hee University, 1732 Deogyeong-daero, Yongin-si, Gyeonggi-do, 17104, Republic of Korea.

出版信息

Environ Pollut. 2022 Aug 1;306:119407. doi: 10.1016/j.envpol.2022.119407. Epub 2022 May 5.

Abstract

This study investigated the effects of adding biochar (BC) on the fate of ciprofloxacin (CIP) and its related antibiotic tolerance (AT) in activated sludge. Three activated sludge reactors were established with different types of BC, derived from apple, pear, and mulberry tree, respectively, and one reactor with no BC. All reactors were exposed to an environmentally relevant level of CIP that acted as a definitive selective pressure significantly promoting AT to four representative antibiotics (CIP, ampicillin, tetracycline, and polymyxin B) by up to two orders of magnitude. While CIP removal was negligible in the reactor without BC, the BC-dosed reactors effectively removed CIP (70-95% removals) through primarily adsorption by BC and biodegradation/biosorption by biomass. The AT in the BC-added reactors was suppressed by 10-99%, compared to that without BC. The BC addition played a key role in sequestering CIP, thereby decreasing the selective pressure that enabled the proactive prevention of AT increase. 16S rRNA gene sequencing analysis showed that the BC addition alleviated the CIP-mediated toxicity to community diversity and organisms related to phosphorous removal. Machine learning modeling with random forest and support vector models using AS microbiome data collectively pinpointed Achromobacter selected by CIP and strongly associated with the AT increase in activated sludge. The identification of Achromobacter as an important AT bacteria revealed by the machine learning modeling with multiple models was also validated with a linear Pearson's correlation analysis. Overall, our study highlighted Achromobacter as a potential useful sentinel for monitoring AT occurring in the environment and suggested BC as a promising additive in wastewater treatment to improve micropollutant removal, mitigate potential AT propagation, and maintain community diversity against toxic antibiotic loadings.

摘要

本研究探讨了添加生物炭 (BC) 对活性污泥中环丙沙星 (CIP) 命运及其相关抗生素耐药性 (AT) 的影响。分别用苹果、梨和桑树枝生物炭建立了三个活性污泥反应器,并用一个没有生物炭的反应器作为对照。所有反应器都暴露在环境相关水平的 CIP 中,这一水平显著促进了对四种代表性抗生素(CIP、氨苄西林、四环素和多粘菌素 B)的 AT,最高可达两个数量级。在没有生物炭的反应器中,CIP 的去除可以忽略不计,而添加生物炭的反应器则通过生物炭的主要吸附和生物量的生物降解/吸附有效地去除了 CIP(70-95%的去除率)。与没有生物炭的反应器相比,添加生物炭的反应器中的 AT 被抑制了 10-99%。生物炭的添加在固定 CIP 方面发挥了关键作用,从而降低了选择性压力,从而主动防止 AT 增加。16S rRNA 基因测序分析表明,生物炭的添加缓解了 CIP 对群落多样性和与磷去除相关的微生物的毒性。使用随机森林和支持向量机模型对 AS 微生物组数据进行机器学习建模,共同确定了 CIP 选择的无色杆菌,并与活性污泥中 AT 增加密切相关。机器学习建模与多种模型共同确定的无色杆菌作为重要 AT 细菌的识别,也通过线性 Pearson 相关分析得到了验证。总的来说,我们的研究强调了无色杆菌作为监测环境中 AT 发生的潜在有用的哨兵,并表明生物炭作为废水处理中的一种有前途的添加剂,可以提高微污染物去除率,减轻潜在的 AT 传播,并维持社区多样性,以应对有毒抗生素负荷。

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