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Influence of water hardness on zinc toxicity in Daphnia magna
Örebro University, School of Science and Technology. (The Life Science Center)ORCID iD: 0000-0002-2299-5024
Örebro University, School of Science and Technology. (The Life Science Center)
Örebro University, School of Science and Technology. (MTM)ORCID iD: 0000-0001-7845-6495
Envix Nord AB, Umeå, Sweden.
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2022 (English)In: Journal of Applied Toxicology, ISSN 0260-437X, E-ISSN 1099-1263, Vol. 42, no 9, p. 1510-1523Article in journal (Refereed) Published
Abstract [en]

Zinc is an essential trace metal required for the maintenance of multiple physiological functions. Due to this, organisms can experience both zinc deficiency and toxicity. Hardness is recognized as one of the main modifying physiochemical factors regulating zinc bioavailability. Therefore, the present study analyzed the effect of hardness on zinc toxicity using Daphnia magna. Endpoint parameters were acute-toxicity, development, reproduction, and expression data for genes involved in metal regulation and oxidative stress. In addition, the temporal expression profiles of genes during the initiation of reproduction and molting were investigated. Water hardness influenced the survival in response to exposures to zinc. A zinc concentration of 50μg/L in soft water (50 mg CaCO3 /L) caused 73% mortality after 96h exposure, whereas the same zinc concentration in the hardest water did not cause any significant mortality. Moreover, increasing water hardness from 100 to 200mg CaCO3 /L resulted in a reduced number of offspring. Fecundity was higher at first brood for groups exposed to higher Zn concentrations. The survival data was used to assess the precision of the bioavailability models (Bio-met) and the geochemical model (Visual MINTEQ). As the Bio-met risk predictions overestimated the Zn toxicity, a competition-based model to describe the effects of hardness on zinc toxicity is proposed. This approach can be used to minimize differences in setting environmental quality standards. Moreover, gene expression data showed that using the toxicogenomic approach was more sensitive than the physiological endpoints. Therefore, data presented in the study can be used to improve risk assessment for zinc toxicity.

Place, publisher, year, edition, pages
John Wiley & Sons, 2022. Vol. 42, no 9, p. 1510-1523
Keywords [en]
BLM, Bioavailability, Gene expression, Risk assessment, Toxicogenomics
National Category
Pharmacology and Toxicology
Identifiers
URN: urn:nbn:se:oru:diva-98053DOI: 10.1002/jat.4319ISI: 000771229300001PubMedID: 35285959Scopus ID: 2-s2.0-85126766109OAI: oai:DiVA.org:oru-98053DiVA, id: diva2:1644633
Funder
Knowledge Foundation, 20170118 20180027
Note

Funding agency:

Örebro University NT3042 NT3061

Available from: 2022-03-15 Created: 2022-03-15 Last updated: 2024-01-02Bibliographically approved
In thesis
1. New Approaches for Daphnia magna Toxicity Assessment
Open this publication in new window or tab >>New Approaches for Daphnia magna Toxicity Assessment
2023 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Risk assessment plays a crucial role in evaluating and managing the potential hazards and health effects associated with exposure to substances. In recent decades, the field of risk assessment has undergone significant expansion, embracing innovative approaches and methodologies. Despite these advancements, it's noteworthy that the standards governing experimental setups have remained largely unchanged. This thesis focuses on enhancing environmental risk assessment methodologies, particularly in the context of exposure protocols, by incorporating toxicogenomics and machine learning approaches as well as suggestions for improved toxicity testing setup. The main objectives of the Paper I was to assess the sensitivity differences and shared responses of different animal models to exposure settings. Seven different organisms were tested with varying metal concentrations. Paper II investigated the effects of altering exposure media parameters, particularly water hardness. Paper III utilized computational advancements in toxicogenomics for gene ranking and exposure prediction. Paper IV investigated a larger number of genes by utilizing transcriptomics to discover novel biomarkers and molecular functions affected by metal exposures at the boundaries of Zn and Cu homeostasis. The research findings revealed that traditional toxicity assessment setups may not fully provide a base to capture the complexity of occurring toxicity. Therefore, the study proposes deviations from standard test protocols and emphasizes the need for holistic models that consider multiple factors to accurately assess toxicity risks in aquatic environments.

Place, publisher, year, edition, pages
Örebro: Örebro University, 2023. p. 74
Series
Örebro Studies in Life Science, ISSN 1653-3100 ; 20
Keywords
Risk assessment, toxicogenomics, zinc, copper, machine learning
National Category
Other Biological Topics
Identifiers
urn:nbn:se:oru:diva-106168 (URN)9789175295183 (ISBN)9789175295190 (ISBN)
Public defence
2023-09-15, Örebro universitet, Långhuset, Hörsal L2, Fakultetsgatan 1, Örebro, 09:15 (English)
Opponent
Supervisors
Available from: 2023-06-01 Created: 2023-06-01 Last updated: 2023-09-06Bibliographically approved

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Paylar, BerkayAsnake, SolomonSjöberg, ViktorJass, JanaOlsson, Per-Erik

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