Crayfish tissue metabolomes effectively distinguish impacts of wastewater and agriculture in aquatic ecosystems

Izral, Natalie M.; Brua, Robert B.; Culp, Joseph M.; Yates, Adam G.

doi:10.1016/j.scitotenv.2020.143322

Cited by 16 publications

(9 citation statements)

References 43 publications

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“…A Maumee River caged sunfish study reported similar results where the biological effects could not always be associated with the total chemical load . In contrast, the metabolome of crayfish tissue was distinct between wastewater and agricultural contamination . Without sediment and water quality data for the present study, it is difficult to distinguish between real-time contaminant exposure, noncontaminant abiotic stressors, and food quality.…”

Section: Discussionmentioning

confidence: 62%

“…34 In contrast, the metabolome of crayfish tissue was distinct between wastewater and agricultural contamination. 37 Without sediment and water quality data for the present study, it is difficult to distinguish between real-time contaminant exposure, noncontaminant abiotic stressors, and food quality. These may all play a role in the interindividual metabolic variability, resulting in the lack of a metabolic distinction between upstream and downstream sites.…”

Section: ■ Discussionmentioning

confidence: 97%

See 1 more Smart Citation

Untargeted Metabolomics Analyses and Contaminant Chemistry of Dreissenid Mussels at the Maumee River Area of Concern in the Great Lakes

Legrand,

Bayless,

Bearden

et al. 2023

Environ. Sci. Technol.

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Section: Discussionmentioning

confidence: 62%

Section: ■ Discussionmentioning

confidence: 97%

Untargeted Metabolomics Analyses and Contaminant Chemistry of Dreissenid Mussels at the Maumee River Area of Concern in the Great Lakes

Legrand,

Bayless,

Bearden

et al. 2023

Environ. Sci. Technol.

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“…for measurement of oxidative biomarkers, ‘omics’ approaches, etc.) are invasive (often resulting in death of the animal) and difficult to obtain but provide a profile of the changing conditions experienced by the animal over the course of years—decades (Aerts et al, 2015; Izral et al, 2021). The use of both short‐ and long‐term biomarkers is pertinent to assessing wildfires impacts, as wildfire effects can be short lasting and long lasting and differ across temporal scales (e.g.…”

Section: How Can Physiological Tools Help Elucidate and Mitigate Fire...mentioning

confidence: 99%

Fire and rain: A systematic review of the impacts of wildfire and associated runoff on aquatic fauna

Isaza

Cramp

Franklin

2022

Global Change Biology

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Climate and land‐use changes are expected to increase the future occurrence of wildfires, with potentially devastating consequences for freshwater species and ecosystems. Wildfires that burn in close proximity to freshwater systems can significantly alter the physicochemical properties of water. Following wildfires and heavy rain, freshwater species must contend with complex combinations of wildfire ash components (nutrients, polycyclic aromatic hydrocarbons, and metals), altered light and thermal regimes, and periods of low oxygen that together can lead to mass mortality events. However, the responses of aquatic fauna to wildfire disturbances are poorly understood. Here we provide a systematic review of available evidence on how aquatic animals respond to and recover from wildfire disturbance. Two databases (Web of Science and Scopus) were used to identify key literature. A total of 83 studies from across 11 countries were identified to have assessed the risk of wildfires on aquatic animals. We provide a summary of the main ecosystem‐level changes associated with wildfires and the main responses of aquatic fauna to such disturbances. We pay special focus to physiological tools and biomarkers used to assess how wildfires impact aquatic animals. We conclude by providing an overview of how physiological biomarkers can further our understanding of wildfire‐related impacts on aquatic fauna, and how different physiological tools can be incorporated into management and conservation plans and serve as early warning signs of wildfire disturbances.

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“…The metabolomic analysis of wild animal tissues is a promising tool for monitoring the influence of environmental factors on animal health [ 1 ]. Metabolomic studies are especially important for aquaculture because variations in the external parameters such as the water temperature and salinity [ 2 , 3 , 4 , 5 , 6 , 7 ], level of dissolved oxygen [ 8 , 9 , 10 , 11 , 12 ], and water body pollution [ 13 , 14 , 15 , 16 , 17 , 18 , 19 , 20 ] can have a significant effect on the metabolomic composition of fish and other marine and freshwater animals and can cause the development of various diseases. Very often, samples of muscle from fish or other animals are subjected to metabolomic analyses because this tissue is the most used in food production [ 21 , 22 ].…”

Section: Introductionmentioning

confidence: 99%

Influence of Ecological Factors on the Metabolomic Composition of Fish Lenses

Tsentalovich

Zelentsova²,

Savina³

et al. 2022

Biology

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Multiple stressors related to changes in environmental conditions (such as water temperature, salinity, and natural and anthropogenic pollution) may cause biological responses of aquatic organisms that lead to significant variations in the biochemical reactions in their tissues and thereby change the concentrations of metabolites. We used a quantitative NMR-based metabolomic analysis of the fish lens for the evaluation of the influence of environmental factors on metabolic processes in aquatic animals. For this purpose, three species of freshwater fish—Perca fluviatilis, Rutilus rutilus lacustris, and Gymnocephalus cernua—were caught at approximately the same time at three locations in Siberia (Russia) that differed in levels of dissolved oxygen (LDO) and water purity, and the concentrations of 57 major metabolites in the fish lenses were determined. We found that the metabolomic profiles of the fish lenses strongly depended on the location. The obtained data demonstrated that two typical stressors for aquatic animals—a reduced LDO and anthropogenic water pollution—caused a largely similar metabolic response in the fish lenses that led to an increase in the concentrations of several amino acids and a decrease in sarcosine and phosphoethanolamine. At the same time, the composition of the major lens osmolytes depended mostly on the oxygen level, while variations in AMP (decrease) and NAD (increase) corresponded to the water pollution. We suggest that the eye lens is a very convenient tissue for studying the impact of ecological factors on the metabolic state of aquatic animals, fish in particular.

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Crayfish tissue metabolomes effectively distinguish impacts of wastewater and agriculture in aquatic ecosystems

Cited by 16 publications

References 43 publications

Untargeted Metabolomics Analyses and Contaminant Chemistry of Dreissenid Mussels at the Maumee River Area of Concern in the Great Lakes

Untargeted Metabolomics Analyses and Contaminant Chemistry of Dreissenid Mussels at the Maumee River Area of Concern in the Great Lakes

Fire and rain: A systematic review of the impacts of wildfire and associated runoff on aquatic fauna

Influence of Ecological Factors on the Metabolomic Composition of Fish Lenses

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