Evidence map›Paper›PMID 27699564›Full record

SynthesisEcotoxicology (London, England)2016

Evolutionary toxicology: Meta-analysis of evolutionary events in response to chemical stressors.

Elias M Oziolor, Karel De Schamphelaere, Cole W Matson

Abstract readMeta-Analysis
PubMed Publisher
In one paragraph

Synthesis in Ecotoxicology (London, England), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.4field-weighted citation impact, top 13% of its field
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

8 citing papers in PubMed, 29 citations in OpenAlex.

  1. Microbiome evolution plays a secondary role in host rapid adaptation.bioRxiv : the preprint server for biology · 2025
    Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. Evolutionary toxicology in an omics world.Evolutionary applications · 2017
    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

3 authors at 2 institutions in 2 countries.

Elias M OziolorDepartment of Environmental Science, Center for Reservoir and Aquatic Systems Research (CRASR), Institute for Biomedical Studies, Baylor University, Waco, TX, 76798, USA.
Karel De SchamphelaereLaboratory of Environmental Toxicology and Aquatic Ecology, GhEnToxLab unit, Ghent University, Jozef Plateaustraat 22, Gent, B-9000, Belgium.
Cole W MatsonDepartment of Environmental Science, Center for Reservoir and Aquatic Systems Research (CRASR), Institute for Biomedical Studies, Baylor University, Waco, TX, 76798, USA. cole_matson@baylor.edu.
Baylor University · USGhent University · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The regulatory decision-making process regarding chemical safety is most often informed by evidence based on ecotoxicity tests that consider growth, reproduction and survival as end-points, which can be quantitatively linked to short-term population outcomes. Changes in these end-points resulting from chemical exposure can cause alterations in micro-evolutionary forces (mutation, drift, selection and gene flow) that control the genetic composition of populations. With multi-generation exposures, anthropogenic contamination can lead to a population with an altered genetic composition, which may respond differently to future stressors. These evolutionary changes are rarely discussed in regulatory or risk assessment frameworks, but the growing body of literature that documents their existence suggests that these important population-level impacts should be considered. In this meta-analysis we have compared existing contamination levels of polychlorinated biphenyls (PCBs) and polycyclic aromatic hydrocarbons (PAHs) that have been documented to be associated with evolutionary changes in resident aquatic organisms to regulatory benchmarks for these contaminants. The original intent of this project was to perform a meta-analysis on evolutionary events associated with PCB and PAH contamination. However, this effort was hindered by a lack of consistency in congener selection for "total" PCB or PAH measurements. We expanded this manuscript to include a discussion of methods used to determine PCB and PAH total contamination in addition to comparing regulatory guidelines and contamination that has caused evolutionary effects. Micro-evolutionary responses often lead populations onto unique and unpredictable trajectories. Therefore, to better understand the risk of population-wide alterations occurring, we need to improve comparisons of chemical contamination between affected locations. In this manuscript we offer several possibilities to unify chemical comparisons for PCBs and PAHs that would improve comparability among evolutionary toxicology investigations, and with regulatory guidelines. In addition, we identify studies documenting evolutionary change in the presence of PCB and PAH contamination levels below applicable regulatory benchmarks.

Indexed as

EcotoxicologyEnvironmental PollutantsEnvironmental MonitoringPolychlorinated BiphenylsPolycyclic Aromatic HydrocarbonsEnvironmental PollutantsPolychlorinated BiphenylsPolycyclic Aromatic HydrocarbonsEvolutionary toxicologyMicro-evolutionPolychlorinated biphenylsPolycyclic aromatic hydrocarbons

Identifiers

PMID27699564
OpenAlexW2528987165

What OpenQuestion holds

Textmetadata
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.