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The impact of zinc oxide nanoparticles on the bacterial microbiome of activated sludge systems

机译:氧化锌纳米颗粒对活性污泥系统细菌微生物组的影响

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摘要

The expected growth in nanomaterial applications could result in increased amounts of nanoparticles entering municipal sewer systems, eventually ending up in wastewater treatment plants and therefore negatively affecting microbial populations and biological nutrient removal. The aim of this study was to ascertain the impact of zinc oxide nanoparticles (nZnO) on the bacterial microbiome of an activated sludge system. A metagenomic approach combined with the latest generation Illumina MiSeq platform and RDP pipeline tools were used to identify and classify the bacterial microbiome of the sludge. Results revealed a drastic decrease in the number of operational taxonomic units (OTUs) from 27 737 recovered in the nZnO-free sample to 23 743, 17 733, and 13 324 OTUs in wastewater samples exposed to various concentrations of nZnO (5, 10 and 100 mg/L nZnO, respectively). These represented 12 phyla, 21 classes, 30 orders, 54 families and 51 genera, completely identified at each taxonomic level in the control samples; 7-15-25-28-20 for wastewater samples exposed to 5 mg/L nZnO; 9-15-24-31-23 for those exposed to 10 mg/L and 7-11-19-26-17 for those exposed 100 mg/L nZnO. A large number of sequences could not be assigned to specific taxa, suggesting a possibility of novel species to be discovered.
机译:纳米材料应用的预期增长可能导致进入市政下水道系统的纳米颗粒数量增加,最终进入废水处理厂,从而对微生物种群和生物营养去除产生负面影响。这项研究的目的是确定氧化锌纳米颗粒(nZnO)对活性污泥系统细菌微生物组的影响。一种宏基因组学方法与最新一代的Illumina MiSeq平台和RDP管道工具相结合,用于识别和分类污泥的细菌微生物组。结果显示,在暴露于不同浓度的nZnO(5、10和10)的废水样品中,从不含nZnO的样品中回收的27737单位的操作分类单位(OTU)急剧减少至23743、17733和13324 OTU。分别为100 mg / L nZnO)。它们代表了12个门,21个类,30个科,54个科和51个属,在对照样品的每个分类学水平上都完全确定。 7-15-25-28-20用于暴露于5μmg/ L nZnO的废水样品;暴露于10μg/ L的nZnO分别为9-15-24-31-23和7-11-19-26-17。大量序列无法分配给特定的分类单元,这表明有可能发现新物种。

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