scholarly journals Mixed phylogenetic signal in fish toxicity data across chemical classes

2018 ◽  
Vol 28 (3) ◽  
pp. 605-611 ◽  
Author(s):  
Andrew Hylton ◽  
Ylenia Chiari ◽  
Isabella Capellini ◽  
Mace G. Barron ◽  
Scott Glaberman
Keyword(s):  
Phylogenetic Signal ◽  
Toxicity Data ◽  
Fish Toxicity

scholarly journals Evaluation of a Bayesian Network for Strengthening the Weight of Evidence to Predict Acute Fish Toxicity from Fish Embryo Toxicity Data

2020 ◽  
Vol 16 (4) ◽  
pp. 452-460 ◽  
Author(s):  
Adam Lillicrap ◽  
S Jannicke Moe ◽  
Raoul Wolf ◽  
Kristin A Connors ◽  
Jane M Rawlings ◽  
...  
Keyword(s):  
Bayesian Network ◽  
Weight Of Evidence ◽  
Toxicity Data ◽  
Fish Embryo ◽  
Fish Toxicity ◽  
Embryo Toxicity

scholarly journals Development of a hybrid Bayesian network model for predicting acute fish toxicity using multiple lines of evidence

2019 ◽  
Author(s):  
S. Jannicke Moe ◽  
Anders L. Madsen ◽  
Kristin A. Connors ◽  
Jane M. Rawlings ◽  
Scott E. Belanger ◽  
...  
Keyword(s):  
Bayesian Network ◽  
Expert Knowledge ◽  
Weight Of Evidence ◽  
List Type ◽  
Toxicity Data ◽  
Web Interface ◽  
Fish Embryo ◽  
Fish Toxicity ◽  
Embryo Toxicity ◽  
Lines Of Evidence

AbstractA Bayesian network was developed for predicting the acute toxicity intervals of chemical substances to fish, based on information on fish embryo toxicity (FET) in combination with other information. This model can support the use of FET data in a Weight-of-Evidence (WOE) approach for replacing the use of juvenile fish. The BN predicted correct toxicity intervals for 69%-80% of the tested substances. The model was most sensitive to components quantified by toxicity data, and least sensitive to components quantified by expert knowledge. The model is publicly available through a web interface. Further development of this model should include additional lines of evidence, refinement of the discretisation, and training with a larger dataset for weighting of the lines of evidence. A refined version of this model can be a useful tool for predicting acute fish toxicity, and a contribution to more quantitative WOE approaches for ecotoxicology and environmental assessment more generally.HighlightsA Bayesian network (BN) was developed to predict the toxicity of chemicals to fishThe BN uses fish embryo toxicity data in a quantitative weight-of-evidence approachThe BN integrates physical, chemical and toxicological properties of chemicalsCorrect toxicity intervals were predicted for 69-80% of test casesThe BN is publicly available for demonstration and testing through a web interface

Disentangling the role of shared ancestry and the environment on leaf stable isotopes

2019 ◽  
Author(s):  
Marko J. Spasojevic ◽  
Sören Weber1
Keyword(s):  
Stable Isotopes ◽  
Environmental Conditions ◽  
Evolutionary History ◽  
Environmental Control ◽  
Phylogenetic Signal ◽  
Individual Species ◽  
Habitat Types ◽  
Δ13c And Δ15n ◽  
Environmental Controls ◽  
Shared Ancestry

Stable carbon (C) and nitrogen (N) isotopes in plants are important indicators of plant water use efficiency and N acquisition strategies. While often regarded as being under environmental control, there is growing evidence that evolutionary history may also shape variation in stable isotope ratios (δ13C and δ15N) among plant species. Here we examined patterns of foliar δ13C and δ15N in alpine tundra for 59 species in 20 plant families. To assess the importance of environmental controls and evolutionary history, we examined if average δ13C and δ15N predictably differed among habitat types, if individual species exhibited intraspecific trait variation (ITV) in δ13C and δ15N, and if there were a significant phylogenetic signal in δ13C and δ15N. We found that variation among habitat types in both δ13C and δ15N mirrored well-known patterns of water and nitrogen limitation. Conversely, we also found that 40% of species exhibited no ITV in δ13C and 35% of species exhibited no ITV in δ15N, suggesting that some species are under stronger evolutionary control. However, we only found a modest signal of phylogenetic conservatism in δ13C and no phylogenetic signal in δ15N suggesting that shared ancestry is a weaker driver of tundra wide variation in stable isotopes. Together, our results suggest that both evolutionary history and local environmental conditions play a role in determining variation in δ13C and δ15N and that considering both factors can help with interpreting isotope patterns in nature and with predicting which species may be able to respond to rapidly changing environmental conditions.

Sign in / Sign up

Export Citation Format

Share Document