Evidence map›Paper›PMID 39468236›Full record

ArticleScientific reports2024

Intraspecific diversity is critical to population-level risk assessments.

René S Shahmohamadloo, Seth M Rudman, Catherine I Clare, Judy A Westrick, Xueqi Wang, Luc De Meester, John M Fryxell

Abstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Transgenerational epigenetic inheritance increases trait variation but is not adaptive.Evolution; international journal of organic evolution · 2025
    Article
  4. Article
  5. Article
  6. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

René S Shahmohamadloo *School of Biological Sciences, Washington State University, Vancouver, Washington, WA, 98686, USA. rene.shahmohamadloo@wsu.edu.
Seth M Rudman *School of Biological Sciences, Washington State University, Vancouver, Washington, WA, 98686, USA. seth.rudman@wsu.edu.
Catherine I ClareSchool of Biological Sciences, Washington State University, Vancouver, Washington, WA, 98686, USA.
Judy A WestrickDepartment of Chemistry, Wayne State University, Detroit, MI, 48202, USA.
Xueqi WangDepartment of Integrative Biology, University of Guelph, Guelph, ON, N1G 2W1, Canada.
Luc De MeesterLaboratory of Aquatic Ecology, Evolution, and Conservation, University of Leuven, Leuven, 3000, Belgium.
John M FryxellDepartment of Integrative Biology, University of Guelph, Guelph, ON, N1G 2W1, Canada.

Funding

Translational Research Support CoreP30ES036084 · NIEHS · WAYNE STATE UNIVERSITY · PI Thomas A Kocarek · 2024 to 2026
$5.2M
Empirical tests of the contributions of genomic variation to the trajectories of adaptationR35GM147264 · NIGMS · WASHINGTON STATE UNIVERSITY · PI Seth Rudman · 2022 to 2026
$1.9M
NIEHS NIH HHS P30 ES036084NIGMS NIH HHS R35 GM147264NIH HHS 1R35GM147264
6 · The paper itself

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.

Indexed as

DaphniaGenetic VariationMicrocystinsAnimalsGenotypeRisk AssessmentMicrocystinsContaminants monitoringDaphniaEnvironmental scienceGenetic variationRisk assessmentToxicology

Identifiers

PMID39468236
PMCPMC11519591

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.