Evidence map›Paper›PMID 37333160›Full record

ArticlebioRxiv : the preprint server for biology2023

Intraspecific genetic variation is critical to robust toxicological predictions of aquatic contaminants.

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

Open access · greenAbstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed, 6 citations in OpenAlex.

No citing paper in PubMed yet.

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 at 4 institutions in 3 countries.

René S ShahmohamadlooSchool of Biological Sciences, Washington State University, Vancouver, Washington, 98686, United States.ORCID 0000-0002-5373-9808
Seth M RudmanSchool of Biological Sciences, Washington State University, Vancouver, Washington, 98686, United States.ORCID 0000-0001-5816-2801
Catherine I ClareSchool of Biological Sciences, Washington State University, Vancouver, Washington, 98686, United States.
Judy A WestrickDepartment of Chemistry, Wayne State University, Detroit, Michigan, 48202, United States.ORCID 0000-0001-9112-5295
Xueqi WangDepartment of Integrative Biology, University of Guelph, Guelph, Ontario, N1G 2W1, Canada.ORCID 0000-0002-3344-5503
Luc De MeesterLaboratory of Aquatic Ecology, Evolution, and Conservation, University of Leuven, Charles Deberiotstraat 32, 3000 Leuven, Belgium.ORCID 0000-0001-5433-6843
John M FryxellDepartment of Integrative Biology, University of Guelph, Guelph, Ontario, N1G 2W1, Canada.ORCID 0000-0002-5278-8747
Washington State University Vancouver · USUniversity of Guelph · CAKU Leuven · BEWayne State University · US

Funding

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
NIGMS NIH HHS R35 GM147264
6 · The paper itself

Abstract

Environmental risk assessment is a critical tool for protecting aquatic life and its effectiveness is predicated on predicting how natural populations respond to contaminants. Yet, routine toxicity testing typically examines only one genotype, which may render risk assessments inaccurate as populations are most often composed of genetically distinct individuals. To determine the importance of intraspecific variation in the translation of toxicity testing to populations, we quantified the magnitude of genetic variation within 20

Indexed as

Contaminants monitoringDaphniaGenetic variationRisk assessmentToxicology

Identifiers

PMID37333160
PMCPMC10274664
OpenAlexW4379740036

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.