De novo Development of a Quantitative Adverse Outcome Pathway (qAOP) Network for Ultraviolet B (UVB) Radiation Using Targeted Laboratory Tests and Automated Data Mining
| Autor: | You Song, Knut Erik Tollefsen, Li Xie, YeonKyeong Lee |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Fysiologi
Ultraviolet Rays Physiology Systems biology Daphnia magna Computational biology 010501 environmental sciences Biostatistics 01 natural sciences Biochemistry Biokjemi Automated data Eco-toxicology: 489 [VDP] Adverse Outcome Pathway Økotoksikologi: 489 [VDP] Animals Data Mining Environmental Chemistry 0105 earth and related environmental sciences Weight of evidence Adverse Outcome Pathways biology fungi Systembiologi Ultraviolet b General Chemistry biology.organism_classification Daphnia Biostatistikk UVB Radiation |
| Zdroj: | Environmental Science and Technology |
| Popis: | Ultraviolet B (UVB) radiation is a natural nonchemical stressor posing potential hazards to organisms such as planktonic crustaceans. The present study was conducted to revisit the lethal effects of UVB on crustaceans, generate new experimental evidence to fill in knowledge gaps, and develop novel quantitative adverse outcome pathways (qAOPs) for UVB. A combination of laboratory and computational approaches was deployed to achieve the goals. For targeted laboratory tests, Daphnia magna was used as a prototype and exposed to a gradient of artificial UVB. Targeted bioassays were used to quantify the effects of UVB at multiple levels of biological organization. A toxicity pathway network was assembled based on the new experimental evidence and previously published data extracted using a novel computational tool, the NIVA Risk Assessment Database (NIVA RAdb). A network of AOPs was developed, and weight of evidence was assessed based on a combination of the current and existing data. In addition, quantitative key event relationships in the AOPs were developed by fitting the D. magna data to predefined models. A complete workflow for assembly and evaluation of qAOPs has been presented, which may serve as a good example for future de novo qAOP development for chemical and nonchemical stressors. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|