Evidence map›Paper›PMID 27460507›Full record

ArticleMolecular ecology2016

The genetic architecture of resistance to virus infection in Drosophila.

Rodrigo Cogni, Chuan Cao, Jonathan P Day, Calum Bridson, Francis M Jiggins

Abstract read
In one paragraph

Article in Molecular ecology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
–field-weighted citation impact
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

32 citing papers in PubMed.

  1. Article
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  9. Review
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  14. Coevolutionary theory of hosts and parasites.Journal of evolutionary biology · 2022
    Review
  15. Genetic dissection of innate immune memory inFrontiers in immunology · 2022
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  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

5 authors.

Rodrigo CogniDepartment of Genetics, University of Cambridge, Cambridge, CB2 3EH, UK. rcogni@usp.br.
Chuan CaoDepartment of Genetics, University of Cambridge, Cambridge, CB2 3EH, UK.
Jonathan P DayDepartment of Genetics, University of Cambridge, Cambridge, CB2 3EH, UK.
Calum BridsonDepartment of Genetics, University of Cambridge, Cambridge, CB2 3EH, UK.
Francis M JigginsDepartment of Genetics, University of Cambridge, Cambridge, CB2 3EH, UK.

Funding

European Research Council 281668
6 · The paper itself

Abstract

Variation in susceptibility to infection has a substantial genetic component in natural populations, and it has been argued that selection by pathogens may result in it having a simpler genetic architecture than many other quantitative traits. This is important as models of host-pathogen co-evolution typically assume resistance is controlled by a small number of genes. Using the Drosophila melanogaster multiparent advanced intercross, we investigated the genetic architecture of resistance to two naturally occurring viruses, the sigma virus and DCV (Drosophila C virus). We found extensive genetic variation in resistance to both viruses. For DCV resistance, this variation is largely caused by two major-effect loci. Sigma virus resistance involves more genes - we mapped five loci, and together these explained less than half the genetic variance. Nonetheless, several of these had a large effect on resistance. Models of co-evolution typically assume strong epistatic interactions between polymorphisms controlling resistance, but we were only able to detect one locus that altered the effect of the main effect loci we had mapped. Most of the loci we mapped were probably at an intermediate frequency in natural populations. Overall, our results are consistent with major-effect genes commonly affecting susceptibility to infectious diseases, with DCV resistance being a near-Mendelian trait.

Indexed as

Genetic VariationRhabdoviridaeAnimalsChromosome MappingDisease ResistanceDrosophila melanogasterEpistasis, GeneticQuantitative Trait LociRhabdoviridae Infectionsgenomics/proteomicsinsectsparasitologyquantitative geneticsspecies interactions

Identifiers

PMID27460507
PMCPMC5082504

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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.