Evidence map›Paper›PMID 26375667›Full record

ArticlePloS one2015

Quantitative Genetics of Food Intake in Drosophila melanogaster.

Megan E Garlapow, Wen Huang, Michael T Yarboro, Kara R Peterson, Trudy F C Mackay

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 68 papers.

0numbers the graph read from it
0cells of the map it votes in
68citing papers in PubMed
5.2field-weighted citation impact, top 3% 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

68 citing papers in PubMed, 140 citations in OpenAlex.

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  8. A genome-wide association study implicates the olfactory system inbioRxiv : the preprint server for biology · 2025
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  13. The genetic basis of incipient sexual isolation inProceedings. Biological sciences · 2024
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  16. Frontiers in microbiology · 2024
    Review
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8 more citing papers are in PubMed but not listed here.

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

5 authors at 1 institution in 1 country.

Megan E GarlapowProgram in Genetics, North Carolina State University, Raleigh, NC, 27695-7614, United States of America; Department of Biological Sciences, North Carolina State University, Raleigh, NC, 27695, United States of America; W. M. Keck Center for Behavioral Biology, North Carolina State University, Raleigh, NC, 27695, United States of America.
Wen HuangProgram in Genetics, North Carolina State University, Raleigh, NC, 27695-7614, United States of America; Department of Biological Sciences, North Carolina State University, Raleigh, NC, 27695, United States of America; W. M. Keck Center for Behavioral Biology, North Carolina State University, Raleigh, NC, 27695, United States of America.
Michael T YarboroDepartment of Biological Sciences, North Carolina State University, Raleigh, NC, 27695, United States of America.
Kara R PetersonDepartment of Biological Sciences, North Carolina State University, Raleigh, NC, 27695, United States of America.
Trudy F C MackayProgram in Genetics, North Carolina State University, Raleigh, NC, 27695-7614, United States of America; Department of Biological Sciences, North Carolina State University, Raleigh, NC, 27695, United States of America; W. M. Keck Center for Behavioral Biology, North Carolina State University, Raleigh, NC, 27695, United States of America.
North Carolina State University · US

Funding

QUANTITATIVE TRAIT LOCI IN DROSOPHILAR01GM045146 · NIGMS · NORTH CAROLINA STATE UNIVERSITY RALEIGH · PI ANHOLT, ROBERT R. H, MACKAY, TRUDY F. · 1991 to 2012
$5.1M
Genetics of Alcohol Sensitivity in DrosophilaR01AA016560 · NIAAA · NORTH CAROLINA STATE UNIVERSITY RALEIGH · PI ANHOLT, ROBERT R. H, MACKAY, TRUDY F. · 2007 to 2016
$4.0M
NIAAA NIH HHS R01 AA016560NIGMS NIH HHS R01 GM045146NIGMS NIH HHS R01 GM45146
6 · The paper itself

Abstract

Food intake is an essential animal activity, regulated by neural circuits that motivate food localization, evaluate nutritional content and acceptance or rejection responses through the gustatory system, and regulate neuroendocrine feedback loops that maintain energy homeostasis. Excess food consumption in people is associated with obesity and metabolic and cardiovascular disorders. However, little is known about the genetic basis of natural variation in food consumption. To gain insights in evolutionarily conserved genetic principles that regulate food intake, we took advantage of a model system, Drosophila melanogaster, in which food intake, environmental conditions and genetic background can be controlled precisely. We quantified variation in food intake among 182 inbred, sequenced lines of the Drosophila melanogaster Genetic Reference Panel (DGRP). We found significant genetic variation in the mean and within-line environmental variance of food consumption and observed sexual dimorphism and genetic variation in sexual dimorphism for both food intake traits (mean and variance). We performed genome wide association (GWA) analyses for mean food intake and environmental variance of food intake (using the coefficient of environmental variation, CVE, as the metric for environmental variance) and identified molecular polymorphisms associated with both traits. Validation experiments using RNAi-knockdown confirmed 24 of 31 (77%) candidate genes affecting food intake and/or variance of food intake, and a test cross between selected DGRP lines confirmed a SNP affecting mean food intake identified in the GWA analysis. The majority of the validated candidate genes were novel with respect to feeding behavior, and many had mammalian orthologs implicated in metabolic diseases.

Indexed as

Quantitative Trait LociAnimalsBiomarkersDrosophila melanogasterEatingFemaleGenetic VariationGenome-Wide Association StudyMalePhenotypeBiomarkers

Identifiers

PMID26375667
PMCPMC4574202
OpenAlexW2140396281

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.