ArticleScientific reports2024
Intraspecific diversity is critical to population-level risk assessments.
Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
6 citing papers in PubMed.
- Intraspecific Variations and Characteristics of Clinical, Physiological, and Antifungal Susceptibility Profiles of Trichophyton rubrum in Southwest China.Mycopathologia · 2026Article
- MLDAAPP: machine learning data acquisition for assessing population phenotypes.G3 (Bethesda, Md.) · 2025Article
- Transgenerational epigenetic inheritance increases trait variation but is not adaptive.Evolution; international journal of organic evolution · 2025Article
- Laboratory-Scale Evaluation of a Plant-Based Algaecide for Harmful and Non-Harmful Algae.Toxins · 2025Article
- Extensive Variation in Thermal Responses and Toxin Content Among 40 Strains of the Cold-Water DiatomToxins · 2025Article
- A test for microbiome-mediated rescue via host phenotypic plasticity inProceedings. Biological sciences · 2025Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
Environmental risk assessment (ERA) is critical for protecting life by predicting population responses to contaminants. However, routine toxicity testing often examines only one genotype from surrogate species, potentially leading to inaccurate risk assessments, as natural populations typically consist of genetically diverse individuals. To evaluate the importance of intraspecific variation in translating toxicity testing to natural populations, we quantified the magnitude of phenotypic variation between 20 Daphnia magna clones exposed to two levels of microcystins, a cosmopolitan cyanobacterial toxin. We observed significant genetic variation in survival, growth, and reproduction, which increased under microcystins exposure. Simulations of survival showed that using a single genotype for toxicity tolerance estimates on average failed to produce accurate predictions within the 95% confidence interval over half of the time. Whole genome sequencing of the 20 clones tested for correlations between toxicological responses and genomic divergence, including candidate loci from prior gene expression studies. We found no overall correlations, indicating that clonal variation, rather than variation at candidate genes, predicts population-level responses to toxins. These results highlight the importance of incorporating broad intraspecific genetic variation, without focusing specifically on variation in candidate genes, into ERAs to more reliably predict how local populations will respond to contaminants.
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Registered trials
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