Water-dispersible nano-pollutions reshape microbial metabolism in type-specific manners: A metabolic and bacteriological investigation inEscherichia coli
Water-dispersible nano-pollutions reshape microbial metabolism in type-specific manners: A metabolic and bacteriological investigation inEscherichia coli
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水分散性纳米污染物以特定类型的方式重塑微生物代谢：大肠杆菌的代谢和细菌学研究
DOI：
10.1007/s11783-022-1548-1
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发表时间：
2022
影响因子：
6.4
通讯作者：
Gangfeng Ouyang
中科院分区：
文献类型：
--
作者：
Shuqin Liu;Rui Wu;Xi Wang;Shuting Fang;Zhangmin Xiang;Shenghong Yang;Gangfeng Ouyang
纳米颗粒的不完全分离和回收造成了不良的纳米污染，从而引起了人们对纳米安全的极大关注。由于微生物是许多生物生理过程的重要调节者，纳米污染与微生物代谢组学之间的相互作用及其对宿主健康的影响很重要，但尚不清楚。为了研究典型的纳米污染如何扰乱微生物的生长和代谢，大肠杆菌(E。采用六种水分散纳米材料（纳米塑料、纳米银、纳米tio2、纳米zno、半导体量子点（QDs）、碳点（CDs））在人体/环境相关浓度水平下对大肠杆菌（coli）进行处理。纳米材料表现出类型特异性毒性效应。coligrowth。全球代谢物分析被用来表征暴露于不同纳米污染物的模型微生物的代谢破坏模式。各纳米材料污染菌群中显著代谢物占鉴定的293种代谢物的6% ~ 38% （p< 0.05, VIP > 1）。代谢结果也显示出不同纳米污染物和剂量水平之间的显著差异，揭示了类型特异性和非典型浓度依赖性的代谢反应。纳米污染暴露的关键代谢产物主要涉及氨基酸和嘌呤代谢，其中精氨酸和脯氨酸代谢、苯丙氨酸代谢和嘌呤代谢分别包含5个、4个和7个显著代谢特征。总之，本研究横向比较并展示了典型纳米污染如何以特定类型的方式干扰微生物生长和代谢组学，这拓宽了我们对纳米污染物对微生物生态毒性的理解。
Incomplete separation and recycling of nanoparticles are causing undesirable nanopollution and thus raising great concerns with regard to nanosafety. Since microorganisms are important regulator of physiological processes in many organisms, the interaction between nanopollution and microbial metabolomics and the resultant impact on the host’s health are important but unclear. To investigate how typical nanopollution perturbs microbial growth and metabolism,Escherichia coli(E. coli) in vitro was treated with six water-dispersible nanomaterials (nanoplastic, nanosilver, nano-TiO2, nano-ZnO, semiconductor quantum dots (QDs), carbon dots (CDs)) at human-/environment-relevant concentration levels. The nanomaterials exhibited type-specific toxic effects onE. coligrowth. Global metabolite profiling was used to characterize metabolic disruption patterns in the model microorganism exposed to different nanopollutants. The percentage of significant metabolites (p< 0.05, VIP > 1) accounted for 6%–38% of the total 293 identified metabolites in each of the nanomaterial-contaminated bacterial groups. Metabolic results also exhibited significant differences between different nanopollutants and dose levels, revealing type-specific and untypical concentration-dependent metabolic responses. Key metabolites responsive to nanopollution exposures were mainly involved in amino acid and purine metabolisms, where 5, 4, and 7 significant metabolic features were included in arginine and proline metabolism, phenylalanine metabolism, and purine metabolism, respectively. In conclusion, this study horizontally compared and demonstrated how typical nanopollution perturbs microbial growth and metabolomics in a type-specific manner, which broadens our understanding of the ecotoxicity of nanopollutants on microorganisms.