Evidence map›Paper›PMID 26619284›Full record

ArticlePLoS genetics2015

Identifying Loci Contributing to Natural Variation in Xenobiotic Resistance in Drosophila.

Michael A Najarro, Jennifer L Hackett, Brittny R Smith, Chad A Highfill, Elizabeth G King, Anthony D Long, Stuart J Macdonald

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in PLoS genetics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
4.2field-weighted citation impact, top 6% 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

27 citing papers in PubMed, 53 citations in OpenAlex.

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  15. Proceedings of the National Academy of Sciences of the United States of America · 2019
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 1 country.

Michael A NajarroDepartment of Molecular Biosciences, University of Kansas, Lawrence, Kansas, United States of America.
Jennifer L HackettDepartment of Molecular Biosciences, University of Kansas, Lawrence, Kansas, United States of America.
Brittny R SmithDepartment of Molecular Biosciences, University of Kansas, Lawrence, Kansas, United States of America.
Chad A HighfillDepartment of Molecular Biosciences, University of Kansas, Lawrence, Kansas, United States of America.
Elizabeth G KingDivision of Biological Sciences, University of Missouri, Columbia, Missouri, United States of America.
Anthony D LongDepartment of Ecology and Evolutionary Biology, University of California Irvine, Irvine, California, United States of America.
Stuart J MacdonaldDepartment of Molecular Biosciences, University of Kansas, Lawrence, Kansas, United States of America.
University of Kansas · USUniversity of California, Irvine · USUniversity of Missouri · US

Funding

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
NIH HHS P40 OD018537NIH HHS R01 OD010974
6 · The paper itself

Abstract

Natural populations exhibit a great deal of interindividual genetic variation in the response to toxins, exemplified by the variable clinical efficacy of pharmaceutical drugs in humans, and the evolution of pesticide resistant insects. Such variation can result from several phenomena, including variable metabolic detoxification of the xenobiotic, and differential sensitivity of the molecular target of the toxin. Our goal is to genetically dissect variation in the response to xenobiotics, and characterize naturally-segregating polymorphisms that modulate toxicity. Here, we use the Drosophila Synthetic Population Resource (DSPR), a multiparent advanced intercross panel of recombinant inbred lines, to identify QTL (Quantitative Trait Loci) underlying xenobiotic resistance, and employ caffeine as a model toxic compound. Phenotyping over 1,700 genotypes led to the identification of ten QTL, each explaining 4.5-14.4% of the broad-sense heritability for caffeine resistance. Four QTL harbor members of the cytochrome P450 family of detoxification enzymes, which represent strong a priori candidate genes. The case is especially strong for Cyp12d1, with multiple lines of evidence indicating the gene causally impacts caffeine resistance. Cyp12d1 is implicated by QTL mapped in both panels of DSPR RILs, is significantly upregulated in the presence of caffeine, and RNAi knockdown robustly decreases caffeine tolerance. Furthermore, copy number variation at Cyp12d1 is strongly associated with phenotype in the DSPR, with a trend in the same direction observed in the DGRP (Drosophila Genetic Reference Panel). No additional plausible causative polymorphisms were observed in a full genomewide association study in the DGRP, or in analyses restricted to QTL regions mapped in the DSPR. Just as in human populations, replicating modest-effect, naturally-segregating causative variants in an association study framework in flies will likely require very large sample sizes.

Indexed as

Genome-Wide Association StudyAnimalsCaffeineChromosome MappingCytochrome P-450 Enzyme SystemDNA Copy Number VariationsDrosophila melanogasterDrosophila ProteinsDrug ResistanceGenotypeHumansInactivation, MetabolicQuantitative Trait LociXenobioticsCaffeinecytochrome P-450 12D1, DrosophilaCytochrome P-450 Enzyme SystemDrosophila ProteinsXenobiotics

Identifiers

PMID26619284
PMCPMC4664282
OpenAlexW2208686348

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.