Evidence map›Paper›PMID 33683361›Full record

ArticleGenetics2021

Characterizing the genetic basis of copper toxicity in Drosophila reveals a complex pattern of allelic, regulatory, and behavioral variation.

Elizabeth R Everman, Kristen M Cloud-Richardson, Stuart J Macdonald

Open access · hybridAbstract read
In one paragraph

Article in Genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.3field-weighted citation impact, top 21% 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

16 citing papers in PubMed, 26 citations in OpenAlex.

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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 1 institution in 1 country.

Elizabeth R EvermanDepartment of Molecular Biosciences, University of Kansas, Lawrence, KS 66045, USA.
Kristen M Cloud-RichardsonDepartment of Molecular Biosciences, University of Kansas, Lawrence, KS 66045, USA.
Stuart J MacdonaldDepartment of Molecular Biosciences, University of Kansas, Lawrence, KS 66045, USA.
University of Kansas · US

Funding

Mentoring CoreP20GM103418 · NIGMS · UNIVERSITY OF KANSAS MEDICAL CENTER · PI SUSAN J. BROWN · 2012 to 2026
$63.0M
Understanding the mechanobiology of stem cells in a microengineered 3D cardiac tissue environment with cardiomyopathyP20GM103638 · NIGMS · UNIVERSITY OF KANSAS LAWRENCE · PI LUNTE, SUSAN M · 2012 to 2021
$22.1M
Resource Component: Acquisition, maintenance and distribution of Drosophila stocksP40OD018537 · OD · TRUSTEES OF INDIANA UNIVERSITY · PI Annette L. Parks · 2014 to 2026
$13.5M
A resource for the genetic analysis of complex traitsR01OD010974 · OD · UNIVERSITY OF KANSAS LAWRENCE · PI LONG, ANTHONY DOUGLAS, MACDONALD, STUART JOHN · 2012 to 2019
$3.1M
Toxicogenomics of metal response in genetically-variable DrosophilapopulationsR01ES029922 · NIEHS · UNIVERSITY OF KANSAS LAWRENCE · PI MACDONALD, STUART JOHN · 2019 to 2021
$682k
Genetic dissection and characterization of variation in copper resistance in Drosophila melanogasterF32GM133111 · NIGMS · UNIVERSITY OF KANSAS LAWRENCE · PI EVERMAN, ELIZABETH · 2019 to 2020
$127k
NIEHS NIH HHS R01 ES029922NIGMS NIH HHS F32 GM133111NIGMS NIH HHS P20 GM103418NIGMS NIH HHS P20 GM103638NIH HHS P40 OD018537NIH HHS R01 OD010974
6 · The paper itself

Abstract

A range of heavy metals are required for normal cell function and homeostasis. However, the anthropogenic release of metal compounds into soil and water sources presents a pervasive health threat. Copper is one of many heavy metals that negatively impacts diverse organisms at a global scale. Using a combination of quantitative trait locus (QTL) mapping and RNA sequencing in the Drosophila Synthetic Population Resource, we demonstrate that resistance to the toxic effects of ingested copper in D. melanogaster is genetically complex and influenced by allelic and expression variation at multiple loci. QTL mapping identified several QTL that account for a substantial fraction of heritability. Additionally, we find that copper resistance is impacted by variation in behavioral avoidance of copper and may be subject to life-stage specific regulation. Gene expression analysis further demonstrated that resistant and sensitive strains are characterized by unique expression patterns. Several of the candidate genes identified via QTL mapping and RNAseq have known copper-specific functions (e.g., Ccs, Sod3, CG11825), and others are involved in the regulation of other heavy metals (e.g., Catsup, whd). We validated several of these candidate genes with RNAi suggesting they contribute to variation in adult copper resistance. Our study illuminates the interconnected roles that allelic and expression variation, organism life stage, and behavior play in copper resistance, allowing a deeper understanding of the diverse mechanisms through which metal pollution can negatively impact organisms.

Indexed as

Polymorphism, GeneticQuantitative Trait LociAnimalsBehavior, AnimalCopperDrosophila melanogasterDrosophila ProteinsDrug ResistanceHeavy Metal PoisoningMetabolic Networks and PathwaysCopperDrosophila ProteinscopperDSPRheavy metal resistancelife stage-specificMPPQTL

Identifiers

PMID33683361
PMCPMC8045719
OpenAlexW3128265583

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.