Evidence map›Paper›PMID 41256694›Full record

ArticlebioRxiv : the preprint server for biology2025

Artificial selection for resistance to copper and off-target physiological and behavioral effects in

Kazzrie Arnold, Elizabeth R Everman

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. 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.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Kazzrie ArnoldSchool of Biological Sciences, University of Oklahoma, 730 Van Vleet Oval, Norman, OK 73019, USA.
Elizabeth R EvermanSchool of Biological Sciences, University of Oklahoma, 730 Van Vleet Oval, Norman, OK 73019, USA.ORCID 0000-0002-3190-4171

Funding

Linking genomic, physiological, and behavioral responses using a Drosophila model of heavy metal stressR00ES033257 · NIEHS · UNIVERSITY OF OKLAHOMA · PI EVERMAN, ELIZABETH · 2023 to 2025
$747k
NIEHS NIH HHS R00 ES033257
6 · The paper itself

Abstract

Pollution resulting from mining, industry, and agriculture has played an important role in shaping the evolution of diverse organisms. The pathway to evolved resistance can involve polygenic shifts that affect multiple traits. Heavy metal contamination is of particular concern due to the health effects for humans and cross-tolerance effects that influence pesticide resistance. We used a replicated artificial selection approach to examine the response to copper selection in

Indexed as

artificial selectioncoppercross-toleranceHeavy metal resistance

Identifiers

PMID41256694
PMCPMC12621863

What Socratic 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 Socratic graph.