1H-NMR metabolomics profiling of zebra mussel (Dreissena polymorpha): A field-scale monitoring tool in ecotoxicological studies

Hani, Younes Mohamed Ismail; Prudhomme, Sophie; Bonnard, Isabelle; Robert, Christelle; Nott, Kathérine; Ronkart, Sébastien; Dedourge-Geffard, Odile; Geffard, Alain

doi:10.1016/j.envpol.2020.116048

Cited by 19 publications

(19 citation statements)

References 93 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…After a two-weeks acclimation period in aerated laboratory tanks at 14°C in darkness, mussels were randomly placed in 2-mm-mesh polyethylene cages (7 × 7 × 14 cm) (200 mussels per cage). The cages were then installed for two months upstream (1 cage) and downstream (1 cage) from the WWTPs (Hani et al, 2021).…”

Section: Experimental Designmentioning

confidence: 99%

“…The samples "A" were used to measure protein concentrations and various enzymes activities involved in energy acquisition (amylase, acid phosphatase "PAC", lipase and lactate dehydrogenase "LDH", aspartate transaminase "ASAT", alanine aminotransferase "ALAT" activities). The samples "B" were used to measure the available energy reserves (Ea) in mussel tissues (proteins, lipids, glycogen and glucose) and to evaluate the energy consumption (Ec) by measuring the activity of the electron transport system (ETS) (Hani et al, 2021). The phenol oxidase activity (PO), the Carboxylesterase activity (CE) and the glutathione-s-transferase activity (GST) were measured with the same method as described for G. fossarum previously.…”

Section: Dreissena Polymorphamentioning

confidence: 99%

“…Several aquatic organisms (fish, bivalves, crustaceans, plants) can be used in biomonitoring. The most part of biomonitoring studies found in literature used only one model species (Besse et al, 2013;Catteau et al, 2020;Dazy et al, 2009;Gouveia et al, 2017;Hani et al, 2021;Palais et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

“…During the study, several water samples were taken upstream and downstream from the WWTP effluents to carry out chemical analyses. Results for the 45 compounds monitored are available in Catteau et al (2021) and Hani et al (2021). These data were used to summarize the global contamination by pharmaceuticals and domestic tracers in each site (Table 1).…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Interest of a multispecies approach in active biomonitoring: Application in the Meuse watershed

Catteau

Porcher

Bado‐Nilles

et al. 2022

Science of The Total Environment

Self Cite

View full text Add to dashboard Cite

Section: Experimental Designmentioning

confidence: 99%

Section: Dreissena Polymorphamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Interest of a multispecies approach in active biomonitoring: Application in the Meuse watershed

Catteau

Porcher

Bado‐Nilles

et al. 2022

Science of The Total Environment

Self Cite

View full text Add to dashboard Cite

“…Some of them can then be classified as potential biomarkers of changes occurring in the organism [ 10 ]. Thus, many ecotoxicological surveys involve the use of the metabolomics approach, as it proves to be relevant for understanding the biological alterations induced by different stressors [ 11 – 13 ].…”

Section: Introductionmentioning

confidence: 99%

An optimized LC-HRMS untargeted metabolomics workflow for multi-matrices investigations in the three-spined stickleback

et al. 2021

Self Cite

View full text Add to dashboard Cite

Environmental metabolomics has become a growing research field to understand biological and biochemical perturbations of organisms in response to various abiotic or biotic stresses. It focuses on the comprehensive and systematic analysis of a biologic system’s metabolome. This allows the recognition of biochemical pathways impacted by a stressor, and the identification of some metabolites as biomarkers of potential perturbations occurring in a body. In this work, we describe the development and optimization of a complete reliable methodology based on liquid chromatography coupled to high resolution mass spectrometry (LC-HRMS) for untargeted metabolomics studies within a fish model species, the three-spined stickleback (Gasterosteus aculeatus). We evaluated the differences and also the complementarities between four different matrices (brain, gills, liver and whole fish) to obtain metabolome information. To this end, we optimized and compared sample preparation and the analytical method, since the type and number of metabolites detected in any matrix are closely related to these latter. For the sample preparation, a solid-liquid extraction was performed on a low quantity of whole fish, liver, brain, or gills tissues using combinations of methanol/water/heptane. Based on the numbers of features observed in LC-HRMS and on the responses of analytical standards representative of different metabolites groups (amino acids, sugars…), we discuss the influence of the nature, volume, and ratio of extraction solvents, the sample weight, and the reconstitution solvent. Moreover, the analytical conditions (LC columns, pH and additive of mobile phases and ionization modes) were also optimized so as to ensure the maximum metabolome coverages. Thus, two complementary chromatographic procedures were combined in order to cover a broader range of metabolites: a reversed phase separation (RPLC) on a C18 column followed by detection with positive ionization mode (ESI+) and a hydrophilic interaction chromatography (HILIC) on a zwitterionic column followed by detection with negative ionization mode (ESI-). This work provides information on brain, gills, liver, vs the whole body contribution to the stickleback metabolome. These information would help to guide ecotoxicological and biomonitoring studies.

show abstract

Contaminants of Concern and Spatiotemporal Metabolomic Changes in Quagga Mussels (Dreissena bugensis rostriformis) from the Milwaukee Estuary (Wisconsin, USA)

Fuller,

Kimbrough,

Davenport

et al. 2023

Enviro Toxic and Chemistry

View full text Add to dashboard Cite

Environmental metabolomics has emerged as a promising technique in the field of biomonitoring and as an indicator of aquatic ecosystem health. In the Milwaukee Estuary (Wisconsin, USA), previous studies have used a non‐targeted metabolomic approach to distinguish between zebra mussels (Dreissena polymorpha) collected from sites of varying contamination. To further elucidate the potential effects of contaminants on bivalve health in the Milwaukee Estuary, the present study adopted a caging approach to study the metabolome of quagga mussels (Dreissena bugensis rostriformis) deployed in six sites of varying contamination for 2, 5 or 55 days. Caged mussels were co‐deployed with two types of passive sampler (POCIS and SPMDs) and data loggers. In conjunction, in‐situ quagga mussels were collected from the four sites studied previously and analyzed for residues of contaminants and metabolomics using a targeted approach. For the caging study, temporal differences in the metabolomic response were observed with few significant changes observed after 2 and 5 days, but larger differences (up to 97 significantly different metabolites) to the metabolome in all sites after 55 days. A suite of metabolic pathways were altered including biosynthesis and metabolism of amino acids, and up‐modulation of phospholipids at all sites, suggesting a potential biological influence such as gametogenesis. In the caging study, average temperatures appeared to have a greater effect on the metabolome than contaminants, despite a large concentration gradient in PAH residues measured in passive samplers and mussel tissue. Conversely, significant differences between the metabolome of mussels collected in situ from all three contaminated sites and the offshore reference site were observed. Overall, these findings highlight the importance of contextualizing the effects of environmental conditions and reproductive processes on the metabolome of model organisms to facilitate the wider use of this technique for biomonitoring and environmental health assessments.

show abstract

1H-NMR metabolomics profiling of zebra mussel (Dreissena polymorpha): A field-scale monitoring tool in ecotoxicological studies

Cited by 19 publications

References 93 publications

Interest of a multispecies approach in active biomonitoring: Application in the Meuse watershed

Interest of a multispecies approach in active biomonitoring: Application in the Meuse watershed

An optimized LC-HRMS untargeted metabolomics workflow for multi-matrices investigations in the three-spined stickleback

Contaminants of Concern and Spatiotemporal Metabolomic Changes in Quagga Mussels (Dreissena bugensis rostriformis) from the Milwaukee Estuary (Wisconsin, USA)

Contact Info

Product

Resources

About