Evidence map›Paper›PMID 26530416›Full record

ArticleG3 (Bethesda, Md.)2015

Metabolomic and Gene Expression Profiles Exhibit Modular Genetic and Dietary Structure Linking Metabolic Syndrome Phenotypes in Drosophila.

Stephanie Williams, Kelly Dew-Budd, Kristen Davis, Julie Anderson, Ruth Bishop, Kenda Freeman, Dana Davis, Katherine Bray, Lauren Perkins, Joana Hubickey and 1 more

Open access · goldAbstract read
In one paragraph

Article in G3 (Bethesda, Md.), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
1.7field-weighted citation impact, top 18% 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

18 citing papers in PubMed, 39 citations in OpenAlex.

  1. Article
  2. Phenotyping ofBiomolecules · 2022
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  7. Tissue-specific analysis of lipid species inJournal of lipid research · 2020
    Article
  8. Systems genetics of theGenome research · 2020
    Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Metabolomic Studies inGenetics · 2017
    Review
  14. Article
  15. Review
  16. Drosophila as a Model for Diabetes and Diseases of Insulin Resistance.Current topics in developmental biology · 2017
    Review
  17. Article
  18. 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

11 authors at 2 institutions in 1 country.

Stephanie WilliamsDepartment of Genetics, North Carolina State University, Raleigh, North Carolina 27695.
Kelly Dew-BuddDepartment of Genetics, North Carolina State University, Raleigh, North Carolina 27695 Department of Biological Sciences, University of Alabama, Tuscaloosa, Alabama 35487.
Kristen DavisDepartment of Genetics, North Carolina State University, Raleigh, North Carolina 27695.
Julie AndersonDepartment of Genetics, North Carolina State University, Raleigh, North Carolina 27695.
Ruth BishopDepartment of Biological Sciences, University of Alabama, Tuscaloosa, Alabama 35487.
Kenda FreemanDepartment of Genetics, North Carolina State University, Raleigh, North Carolina 27695.
Dana DavisDepartment of Biological Sciences, University of Alabama, Tuscaloosa, Alabama 35487.
Katherine BrayDepartment of Biological Sciences, University of Alabama, Tuscaloosa, Alabama 35487.
Lauren PerkinsDepartment of Biological Sciences, University of Alabama, Tuscaloosa, Alabama 35487.
Joana HubickeyDepartment of Biological Sciences, University of Alabama, Tuscaloosa, Alabama 35487.
Laura K ReedDepartment of Genetics, North Carolina State University, Raleigh, North Carolina 27695 Department of Biological Sciences, University of Alabama, Tuscaloosa, Alabama 35487 lreed1@ua.edu.
University of Alabama · USNorth Carolina State University · US

Funding

QUANTITATIVE GENETIC ANALYSIS OF SIGNAL TRANSDUCTIONR01GM061600 · NIGMS · NORTH CAROLINA STATE UNIVERSITY RALEIGH · PI GIBSON, GREGORY C · 2000 to 2008
$1.6M
Genetic Basis of Genotype-by-Environment Interactions Underlying Physiological MoR01GM098856 · NIGMS · UNIVERSITY OF ALABAMA IN TUSCALOOSA · PI MOTSINGER-REIF, ALISON, REED, LAURA K · 2011 to 2015
$1.3M
A Drosophila model for genomic analysis of Metabolic SyndromeF32GM082021 · NIGMS · NORTH CAROLINA STATE UNIVERSITY RALEIGH · PI REED, LAURA K · 2007 to 2009
$148k
Howard Hughes Medical InstituteNIGMS NIH HHS F32 GM082021NIGMS NIH HHS F32GM082021NIGMS NIH HHS R01 GM061600NIGMS NIH HHS R01 GM098856NIGMS NIH HHS R01GM098856NIGMS NIH HHS R01GM61600
6 · The paper itself

Abstract

Genetic and environmental factors influence complex disease in humans, such as metabolic syndrome, and Drosophila melanogaster serves as an excellent model in which to test these factors experimentally. Here we explore the modularity of endophenotypes with an in-depth reanalysis of a previous study by Reed et al. (2014), where we raised 20 wild-type genetic lines of Drosophila larvae on four diets and measured gross phenotypes of body weight, total sugar, and total triglycerides, as well as the endophenotypes of metabolomic and whole-genome expression profiles. We then perform new gene expression experiments to test for conservation of phenotype-expression correlations across different diets and populations. We find that transcript levels correlated with gross phenotypes were enriched for puparial adhesion, metamorphosis, and central energy metabolism functions. The specific metabolites L-DOPA and N-arachidonoyl dopamine make physiological links between the gross phenotypes across diets, whereas leucine and isoleucine thus exhibit genotype-by-diet interactions. Between diets, we find low conservation of the endophenotypes that correlate with the gross phenotypes. Through the follow-up expression study, we found that transcript-trait correlations are well conserved across populations raised on a familiar diet, but on a novel diet, the transcript-trait correlations are no longer conserved. Thus, physiological canalization of metabolic phenotypes breaks down in a novel environment exposing cryptic variation. We cannot predict the physiological basis of disease in a perturbing environment from profiles observed in the ancestral environment. This study demonstrates that variation for disease traits within a population is acquired through a multitude of physiological mechanisms, some of which transcend genetic and environmental influences, and others that are specific to an individual's genetic and environmental context.

Indexed as

Genetic Association StudiesMetabolomePhenotypeTranscriptomeAnimal FeedAnimalsCluster AnalysisDrosophilaGene Expression ProfilingGene Expression RegulationGenetics, PopulationGenotypeMetabolic SyndromeMetabolomicscanalizationDrosophilagenotype-by-environment interactionmetabolic syndromemetabolomics

Identifiers

PMID26530416
PMCPMC4683653
OpenAlexW2193515707

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.