Evidence map›Paper›PMID 42041136›Full record

ArticleMolecular ecology2026

Discovery and Evaluation of Cadmium-Adapted Daphnia pulex Genotypes in a Region of Historical Mining Reveals Adaptation Protects the Germline From Cadmium-Induced Mutations.

Nathan Keith, Stephen P Glaholt, Craig E Jackson, Kim Young, Karel De Schamphelaere, John K Colbourne, Joseph R Shaw

Abstract read
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Article in Molecular ecology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Nathan KeithO'Neill School of Public and Environmental Affairs, Indiana University, Bloomington, Indiana, USA.ORCID https://orcid.org/0009-0005-8566-9663
Stephen P GlaholtO'Neill School of Public and Environmental Affairs, Indiana University, Bloomington, Indiana, USA.
Craig E JacksonO'Neill School of Public and Environmental Affairs, Indiana University, Bloomington, Indiana, USA.
Kim YoungDepartment of Biology, Indiana University, Bloomington, Indiana, USA.
Karel De SchamphelaereLaboratory of Environmental Toxicology and Aquatic Ecology, Ghent University, Gent, Belgium.
John K ColbourneMichabo Health Sciences, Coventry, UK.
Joseph R ShawO'Neill School of Public and Environmental Affairs, Indiana University, Bloomington, Indiana, USA.

Funding

Effects of environmental contamination on gene copy number variation: Molecular bR01ES019324 · NIEHS · TRUSTEES OF INDIANA UNIVERSITY · PI SHAW, JOSEPH R. · 2010 to 2014
$2.2M
European Marine Biological Resource Centre Belgium BE/GEN-EN DEB-0221837NIH HHS R01ES019324
6 · The paper itself

Abstract

Exposure to chemical pollutants can alter the rate and genome-wide distribution of germline mutations. However, studies measuring the effects of chemical exposure on mutation rates and spectra have not considered the ecological and evolutionary backgrounds of the studied genotypes, which could influence the rates and patterns of germline mutations in altered environments, for example, chemical pollution. Utilising a study of natural Daphnia pulex species complex populations, we conducted a comprehensive experiment to test our hypothesis that adaptation to chemical pollution also protects the germline from mutagenesis. (1) We identified Daphnia populations that have adapted to survive in mining-devastated regions by increasing their cadmium tolerance. (2) We completed a mutation-accumulation (MA) experiment with an adapted genotype to measure the germline mutation rate in both control conditions and an environmentally relevant cadmium concentration. (3) We compared these MA experimental results to a previously reported, identically designed MA experiment with a nonadapted genotype. (4) We report that patterns of cadmium-induced mutagenesis in the adapted genotype were reversed compared to our previous observations in the nonadapted genotype. Cadmium exposure altered the single-nucleotide mutation (SNM) rate in the same genomic regions in both adapted and nonadapted genotypes, but the rates were changed in opposite directions. Cadmium also altered specific SNM classes in these genotypes in opposite directions. The reversal of mutational trends in the adapted genotype suggests protection against cadmium genotoxicity. We further demonstrate that adapted populations have elevated gene copy numbers and expression levels of metallothionein, the protein that protects against cadmium toxicity by irreversibly binding.

Indexed as

Adaptation, PhysiologicalCadmiumDaphnia pulexGerm-Line MutationWater Pollutants, ChemicalAnimalsGenotypeMiningMutagenesisMutation AccumulationMutation RateCadmiumWater Pollutants, Chemicalgenome‐widemutation–accumulationmutation ratepollution

Identifiers

PMID42041136
PMCPMC13113238

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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.