Evidence map›Paper›PMID 25764027›Full record

ArticlePLoS genetics2015

The complex contributions of genetics and nutrition to immunity in Drosophila melanogaster.

Robert L Unckless, Susan M Rottschaefer, Brian P Lazzaro

Open 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. Cited by 52 papers.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed
5.8field-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

52 citing papers in PubMed, 110 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Infection and immunity · 2025
    Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. When the microbiome shapes the host: immune evolution implications for infectious disease.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024
    Review
  11. Evolution of innate immunity: lessons from mammalian models shaping our current view of insect immunity.Journal of comparative physiology. B, Biochemical, systemic, and environmental physiology · 2024
    Review
  12. Article
  13. Article
  14. Review
  15. Regulating metabolism to shape immune function: Lessons from Drosophila.Seminars in cell & developmental biology · 2023
    Review
  16. Article
  17. Article
  18. The immunostimulatory role of anFrontiers in insect science · 2023
    Article
  19. Review
  20. 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

3 authors at 1 institution in 1 country.

Robert L UncklessDepartment of Entomology, Cornell University, Ithaca, New York, United States of America.
Susan M RottschaeferDepartment of Entomology, Cornell University, Ithaca, New York, United States of America.
Brian P LazzaroDepartment of Entomology, Cornell University, Ithaca, New York, United States of America.
Cornell University · US

Funding

Functional /Comparative Genomic of Drosophila immunityR01AI064950 · NIAID · CORNELL UNIVERSITY ITHACA · PI CLARK, ANDREW G, LAZZARO, BRIAN · 2005 to 2016
$3.7M
Genetic Network Linking Immunity to Energetic Stress, Metabolism and ReproductionR01AI083932 · NIAID · CORNELL UNIVERSITY · PI LAZZARO, BRIAN · 2009 to 2015
$2.6M
The Genetics and Genomics of Sex-Ratio Meiotic Drive in Drosophila AffinisF32HD071703 · NICHD · CORNELL UNIVERSITY · PI UNCKLESS, ROBERT L · 2012 to 2014
$156k
NIAID NIH HHS R01 AI064950NIAID NIH HHS R01 AI083932NICHD NIH HHS F32 HD071703NICHD NIH HHS F32-HD071703
6 · The paper itself

Abstract

Both malnutrition and undernutrition can lead to compromised immune defense in a diversity of animals, and "nutritional immunology" has been suggested as a means of understanding immunity and determining strategies for fighting infection. The genetic basis for the effects of diet on immunity, however, has been largely unknown. In the present study, we have conducted genome-wide association mapping in Drosophila melanogaster to identify the genetic basis for individual variation in resistance, and for variation in immunological sensitivity to diet (genotype-by-environment interaction, or GxE). D. melanogaster were reared for several generations on either high-glucose or low-glucose diets and then infected with Providencia rettgeri, a natural bacterial pathogen of D. melanogaster. Systemic pathogen load was measured at the peak of infection intensity, and several indicators of nutritional status were taken from uninfected flies reared on each diet. We find that dietary glucose level significantly alters the quality of immune defense, with elevated dietary glucose resulting in higher pathogen loads. The quality of immune defense is genetically variable within the sampled population, and we find genetic variation for immunological sensitivity to dietary glucose (genotype-by-diet interaction). Immune defense was genetically correlated with indicators of metabolic status in flies reared on the high-glucose diet, and we identified multiple genes that explain variation in immune defense, including several that have not been previously implicated in immune response but which are confirmed to alter pathogen load after RNAi knockdown. Our findings emphasize the importance of dietary composition to immune defense and reveal genes outside the conventional "immune system" that can be important in determining susceptibility to infection. Functional variation in these genes is segregating in a natural population, providing the substrate for evolutionary response to pathogen pressure in the context of nutritional environment.

Indexed as

DietGene-Environment InteractionAnimalsDrosophila melanogasterGenetic VariationGenome-Wide Association StudyGlucoseHost-Pathogen InteractionsImmunity, InnateProvidenciaGlucose

Identifiers

PMID25764027
PMCPMC4357385
OpenAlexW2088093513

What OpenQuestion holds

Textmetadata
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.