Evidence map›Paper›PMID 29151868›Full record

ArticleEvolutionary applications2017

Evolutionary toxicology in an omics world.

Elias M Oziolor, John W Bickham, Cole W Matson

Abstract read
In one paragraph

Article in Evolutionary applications, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. On biological evolution and environmental solutions.The Science of the total environment · 2020
    Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. 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.

Elias M OziolorDepartment of Environmental Science Center for Reservoir and Aquatic Systems Research (CRASR), and the Institute for Biomedical Studies Baylor University Waco TX USA.
John W BickhamDepartment of Wildlife and Fisheries Science Texas A&M University College Station TX USA.
Cole W MatsonDepartment of Environmental Science Center for Reservoir and Aquatic Systems Research (CRASR), and the Institute for Biomedical Studies Baylor University Waco TX USA.ORCID 0000-0002-6472-9357

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Evolutionary toxicology is a young field that has grown rapidly in the past two decades. The potential of this field comes from the ability to link chemical contamination to multigenerational and population-wide effects in various species. The advancements and rapidly decreasing costs of -omic tools are improving the power and resolution of evolutionary toxicology studies. In this manuscript, we aim to address the trajectories and perspectives for conducting evolutionary toxicology studies with -omic approaches. We discuss the complementarity of using multiple -omic tools (genomics, eDNA, transcriptomics, proteomics, and metabolomics) for utility in understanding the toxicological relevance of adaptive responses in populations. In addition, we discuss phenotypic plasticity and its relevance to transcriptomic studies in toxicology. As evolutionary toxicology grows and expands its capacity to link toxicology with population-wide end points, we emphasize the applications of such studies in answering questions about ecological and population health, as well as future applicability to regulation. Thus, we aim to emphasize the enormous potential for evolutionary toxicology in an -omics world and give perspectives on the directions of future investigations.

Indexed as

eDNAevolutiongenomicsphenotypic plasticitytoxicologytranscriptomics

Identifiers

PMID29151868
PMCPMC5680431

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.