Evidence map›Paper›PMID 39171730›Full record

ArticleEnvironmental toxicology and chemistry2024

How Model Organisms and Model Uncertainty Impact Our Understanding of the Risk of Sublethal Impacts of Toxicants to Survival and Growth of Ecologically Relevant Species.

Lori N Ivan, Michael L Jones, Janice L Albers, Michael J Carvan, Natalia Garcia-Reyero, Diane Nacci, Bryan Clark, Rebekah Klingler, Cheryl A Murphy

Abstract read
In one paragraph

Article in Environmental toxicology and chemistry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

9 authors.

Lori N IvanDepartment of Fisheries and Wildlife, Michigan State University, East Lansing, Michigan, USA.
Michael L JonesDepartment of Fisheries and Wildlife, Michigan State University, East Lansing, Michigan, USA.
Janice L AlbersDepartment of Fisheries and Wildlife, Michigan State University, East Lansing, Michigan, USA.
Michael J CarvanSchool of Freshwater Sciences, University of Wisconsin-Milwaukee, Milwaukee, Wisconsin, USA.
Natalia Garcia-ReyeroInstitute for Genomics, Biocomputing, and Biotechnology, Mississippi State University, Vicksburg, Mississippi, USA.
Diane NacciAtlantic Ecology Division, US Environmental Protection Agency, Narragansett, Rhode Island.
Bryan ClarkAtlantic Ecology Division, US Environmental Protection Agency, Narragansett, Rhode Island.
Rebekah KlinglerSchool of Freshwater Sciences, University of Wisconsin-Milwaukee, Milwaukee, Wisconsin, USA.
Cheryl A MurphyDepartment of Fisheries and Wildlife, Michigan State University, East Lansing, Michigan, USA.

Funding

AgBioResearch, Michigan State University Hatch Project 1014468EPA G2014-STAR-E1 #83579801EPA R835798Michigan State University FellowshipsU.S. Department of Defense
6 · The paper itself

Abstract

Understanding how sublethal impacts of toxicants affect population-relevant outcomes for organisms is challenging. We tested the hypotheses that the well-known sublethal impacts of methylmercury (MeHg) and a polychlorinated biphenyl (PCB126) would have meaningful impacts on cohort growth and survival in yellow perch (Perca flavescens) and Atlantic killifish (Fundulus heteroclitus) populations, that inclusion of model uncertainty is important for understanding the sublethal impacts of toxicants, and that a model organism (zebrafish Danio rerio) is an appropriate substitute for ecologically relevant species (yellow perch, killifish). Our simulations showed that MeHg did not have meaningful impacts on growth or survival in a simulated environment except to increase survival and growth in low mercury exposures in yellow perch and killifish. For PCB126, the high level of exposure resulted in lower survival for killifish only. Uncertainty analyses increased the variability and lowered average survival estimates across all species and toxicants, providing a more conservative estimate of risk. We demonstrate that using a model organism instead of the species of interest does not necessarily give the same results, suggesting that using zebrafish as a surrogate for yellow perch and killifish may not be appropriate for predicting contaminant impacts on larval cohort growth and survival in ecologically relevant species. Our analysis also reinforces the notion that uncertainty analyses are necessary in any modeling assessment of the impacts of toxicants on a population because it provides a more conservative, and arguably realistic, estimate of impact. Environ Toxicol Chem 2024;43:2122-2133. © 2024 SETAC.

Indexed as

FundulidaeMethylmercury CompoundsPolychlorinated BiphenylsZebrafishAnimalsModels, BiologicalPerchesRisk AssessmentUncertaintyWater Pollutants, Chemical3,4,5,3',4'-pentachlorobiphenylMethylmercury CompoundsPolychlorinated BiphenylsWater Pollutants, ChemicalAgent‐based modelingAquatic toxicologyFish indicesPerca flavescensPopulation modeling

Identifiers

PMID39171730
PMCPMC13128036

What OpenQuestion holds

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Registered trials

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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.