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用于评估泻湖沉积物中污染物归宿和影响的先进多组学方法实施所需化学和生物学步骤的验证

Validation of the Chemical and Biological Steps Required Implementing an Advanced Multi-Omics Approach for Assessing the Fate and Impact of Contaminants in Lagoon Sediments.

作者信息

Mejait Anouar, Fildier Aurélie, Giroud Barbara, Daniele Gaëlle, Wiest Laure, Raviglione Delphine, Kotarba Jules, Toulza Eve, Ramirez Triana, Lanseman Alexia, Clerissi Camille, Vulliet Emmanuelle, Calvayrac Christophe, Salvia Marie-Virginie

机构信息

Centre de Recherches Insulaires et Observatoire de l'Environnement (CRIOBE), 66860 Perpignan, France.

Institut des Sciences Analytiques UMR 5280, Université Claude Bernard Lyon 1, CNRS, 69100 Villeurbanne, France.

出版信息

Metabolites. 2024 Aug 17;14(8):454. doi: 10.3390/metabo14080454.

Abstract

The increasing use of chemicals requires a better understanding of their presence and dynamics in the environment, as well as their impact on ecosystems. The aim of this study was to validate the first steps of an innovative multi-omics approach based on metabolomics and 16S metabarcoding data for analyses of the fate and impact of contaminants in Mediterranean lagoons. Semi-targeted analytical procedures for water and sediment matrices were implemented to assess chemical contamination of the lagoon: forty-six compounds were detected, 28 of which could be quantified in water (between 0.09 and 47.4 ng/L) and sediment (between 0.008 and 26.3 ng/g) samples using the UHPLC-MS/MS instrument. In addition, a non-targeted approach (UHPLC-HRMS) using four different sample preparation protocols based on solid/liquid extractions or an automated pressurized fluid extraction system (EDGE) was carried out to determine the protocol with the best metabolome coverage, efficiency and reproducibility. Solid/liquid extraction using the solvent mixture acetonitrile/methanol (50/50) was evaluated as the best protocol. Microbial diversity in lagoon sediment was also measured after DNA extraction using five commercial extraction kits. Our study showed that the DNeasy PowerSoil Pro Qiagen kit (Promega, USA) was the most suitable for assessing microbial diversity in fresh sediment.

摘要

化学物质的使用日益增加,这就需要更好地了解它们在环境中的存在情况、动态变化以及对生态系统的影响。本研究的目的是验证一种基于代谢组学和16S宏条形码数据的创新多组学方法的初步步骤,用于分析地中海泻湖中污染物的归宿和影响。实施了针对水和沉积物基质的半靶向分析程序,以评估泻湖的化学污染情况:检测到46种化合物,其中28种可使用超高效液相色谱-串联质谱仪在水(0.09至47.4纳克/升)和沉积物(0.008至26.3纳克/克)样品中进行定量分析。此外,还采用了一种非靶向方法(超高效液相色谱-高分辨质谱),该方法基于固/液萃取或自动加压流体萃取系统(EDGE)使用四种不同的样品制备方案,以确定具有最佳代谢组覆盖范围、效率和重现性的方案。使用乙腈/甲醇(50/50)混合溶剂的固/液萃取被评估为最佳方案。在使用五种商业提取试剂盒提取DNA后,还对泻湖沉积物中的微生物多样性进行了测量。我们的研究表明,DNeasy PowerSoil Pro Qiagen试剂盒(美国普洛麦格公司)最适合评估新鲜沉积物中的微生物多样性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6f1e/11356597/39c17e896685/metabolites-14-00454-g001.jpg

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