ArticleScientific reports2020
Species traits predict the aryl hydrocarbon receptor 1 (AHR1) subtypes responsible for dioxin sensitivity in birds.
Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.
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Who cites it
8 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Home range size and foraging niche predict lead exposure variability in terrestrial birds.Ecotoxicology (London, England) · 2026Pooled it
- Half a Century of Per- and Polyfluoroalkyl Substances in Northern Gannet Eggs: Impact of Regulations.Journal of applied toxicology : JAT · 2026Article
- Review
- Exposure and hormone associations of pesticides and flame retardants among primates in Uganda.Environmental toxicology and chemistry · 2025Article
- Phylogenetic relatedness and plant traits influenced flowering phenology change patterns in natural habitats in China (2003-2021).BMC plant biology · 2025Article
- Spatial variability in herbaceous plant phenology is mostly explained by variability in temperature but also by photoperiod and functional traits.International journal of biometeorology · 2024Article
- Sublethal effects of early-life exposure to common and emerging contaminants in birds.Current research in toxicology · 2024Article
- Improving hydrocarbon toxicity tolerance in poultry: role of genes and antioxidants.Frontiers in genetics · 2023Article
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2 authors.
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Abstract
Differences in avian sensitivity to dioxin-like compounds (DLCs) are directly attributable to the identities of amino acids at two sites within the ligand binding domain (LBD) of the aryl hydrocarbon receptor 1 (AHR1). Recent work suggests that by influencing avian exposure to naturally occurring dioxins, differences in diet, habitat, and migration may have influenced the evolution of three AHR1 LBD genotypes in birds: type 1 (high sensitivity), type 2 (moderate sensitivity), and type 3 (low sensitivity). Using a boosted regression tree (BRT) analysis, we built on previous work by examining the relationship between a comprehensive set of 17 species traits, phylogeny, and the AHR1 LBD across 89 avian species. The 17 traits explained a combined 74% of the model deviance, while phylogenetic relatedness explained only 26%. The strongest predictors of AHR1 LBD were incubation period and habitat type. We found that type 3 birds tended to occupy aquatic habitats, and, uniquely, we also found that type 3 birds tended to have slower developmental rates. We speculate that this reflects higher evolutionary exposure to naturally occurring dioxins in waterbirds and species with K-selected life histories. This study highlights the value of trait-based approaches in helping to understand differing avian species sensitivities to environmental contaminants.
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