Three perspectives on the prediction of chemical effects in ecosystems DOI
Anke Schneeweiss, Noël P. D. Juvigny‐Khenafou, Stephen E. Osakpolor

et al.

Global Change Biology, Journal Year: 2022, Volume and Issue: 29(1), P. 21 - 40

Published: Sept. 22, 2022

Abstract The increasing production, use and emission of synthetic chemicals into the environment represents a major driver global change. large number chemicals, limited knowledge on exposure patterns effects in organisms their interaction with other change drivers hamper prediction ecosystems. However, recent advances biomolecular computational methods are promising to improve our capacity for prediction. We delineate three idealised perspectives chemical effects: suborganismal, organismal ecological perspective, which currently largely separated. Each outlined includes essential complementary theories tools but captures only part phenomenon effects. Links between may foster predictive modelling ecosystems extrapolation species. A challenge linkage is lack data sets simultaneously covering different levels biological organisation (here referred as levels) well varying temporal spatial scales. Synthesising perspectives, some central aspects associated types seem particularly necessary First, suborganism‐ organism‐level responses need be recorded tested relationships groups organism traits. Second, metrics that measurable at many levels, such energy, scrutinised potential integrate across levels. Third, experimental simultaneous response over multiple spatiotemporal scales required. These could collected nested interconnected micro‐ mesocosm experiments. Lastly, prioritisation processes involved framework needs find balance simplification capturing complexity system. For example, cases, eco‐evolutionary dynamics interactions stronger consideration. Prediction move from static real‐world view.

Language: Английский

Combined Toxicity of Chemicals: Final Thoughts and Concluding Remarks DOI
De‐Sheng Pei, Marriya Sultan, Yiyun Liu

et al.

Published: Jan. 14, 2025

Language: Английский

Citations

0
Transcriptomic response of an algal species (raphidocelis subcapitata) exposed to 22 per- and polyfluoroalkyl substances DOI Creative Commons
Kevin Flynn,

Kendra Bush,

Jenna E. Cavallin

et al.

Environmental Toxicology and Chemistry, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 20, 2025

Per- and polyfluoroalkyl substances (PFAS) are a large class of chemicals concern for both human environmental health because their ubiquitous presence in the environment, persistence, potential toxicological effects. Despite this, ecological hazard data limited to small number PFAS even though there over 4000 identified PFAS. Traditional toxicity testing will likely be inadequate generate necessary information risk assessment. Therefore, present study investigated utility using transcriptomic points departure (tPODs) informing algal toxicity. Raphidocelis subcapitata, freshwater green species, were exposed 24 hours 96 well microplates multiple concentrations 22 different Following exposure, RNA was extracted, transcriptome evaluated by sequencing followed concentration response modeling determine tPOD each tPODs, based upon measured concentrations, ranged from 0.9 µg/L perfluorotridecanoic acid 1 mg/L perfluorononanoic acid. These values derived R. subcapitata exposures compared published benchmarks other taxa (larval fathead minnow Daphnia magna) vitro data. While generally more sensitive tested than previously assays, tPODs were, on average, three orders magnitude greater maximum detected Great Lakes tributaries. This high throughput transcriptomics assay with algae is promising new approach method an ecologically relevant, tiered evaluation strategy.

Language: Английский

Citations

0
Tapwater exposures, residential risk, and mitigation in a PFAS-impacted-groundwater community DOI Creative Commons
Paul M. Bradley, Kristin M. Romanok, Kelly L. Smalling

et al.

Environmental Science Processes & Impacts, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 1, 2025

Assessment in a hydrologically-vulnerable, Mississippi River community revealed cumulative risks from co-occurring inorganic/organic contaminants, including PFAS, alluvial-aquifer-sourced tapwater but not deeper, sandstone-aquifer tapwater.

Language: Английский

Citations

0
Investigating (anti)estrogenic activities within South African wastewater and receiving surface waters: Implication for reliable monitoring DOI
Edward Archer, Gideon Wolfaardt, J.H. van Wyk

et al.

Environmental Pollution, Journal Year: 2020, Volume and Issue: 263, P. 114424 - 114424

Published: March 29, 2020

Language: Английский

Citations

30
Three perspectives on the prediction of chemical effects in ecosystems DOI
Anke Schneeweiss, Noël P. D. Juvigny‐Khenafou, Stephen E. Osakpolor

et al.

Global Change Biology, Journal Year: 2022, Volume and Issue: 29(1), P. 21 - 40

Published: Sept. 22, 2022

Abstract The increasing production, use and emission of synthetic chemicals into the environment represents a major driver global change. large number chemicals, limited knowledge on exposure patterns effects in organisms their interaction with other change drivers hamper prediction ecosystems. However, recent advances biomolecular computational methods are promising to improve our capacity for prediction. We delineate three idealised perspectives chemical effects: suborganismal, organismal ecological perspective, which currently largely separated. Each outlined includes essential complementary theories tools but captures only part phenomenon effects. Links between may foster predictive modelling ecosystems extrapolation species. A challenge linkage is lack data sets simultaneously covering different levels biological organisation (here referred as levels) well varying temporal spatial scales. Synthesising perspectives, some central aspects associated types seem particularly necessary First, suborganism‐ organism‐level responses need be recorded tested relationships groups organism traits. Second, metrics that measurable at many levels, such energy, scrutinised potential integrate across levels. Third, experimental simultaneous response over multiple spatiotemporal scales required. These could collected nested interconnected micro‐ mesocosm experiments. Lastly, prioritisation processes involved framework needs find balance simplification capturing complexity system. For example, cases, eco‐evolutionary dynamics interactions stronger consideration. Prediction move from static real‐world view.

Language: Английский

Citations

18