Evidence map›Paper›PMID 27815361›Full record

ArticleGenetics2017

Survey of Global Genetic Diversity Within the Drosophila Immune System.

Angela M Early, J Roman Arguello, Margarida Cardoso-Moreira, Srikanth Gottipati, Jennifer K Grenier, Andrew G Clark

Open access · bronzeAbstract read
In one paragraph

Article in Genetics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
8.7field-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

19 citing papers in PubMed, 43 citations in OpenAlex.

  1. Article
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  4. Natural selection has driven the recurrent loss of an immunity gene that protectsProceedings of the National Academy of Sciences of the United States of America · 2023
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  18. Rapid seasonal evolution in innate immunity of wildProceedings. Biological sciences · 2018
    Article
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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

6 authors at 1 institution in 1 country.

Angela M EarlyDepartment of Ecology and Evolutionary Biology, Cornell University, Ithaca, New York 14853 ame54@cornell.edu.
J Roman ArguelloDepartment of Molecular Biology and Genetics, Cornell University, Ithaca, New York 14853.
Margarida Cardoso-MoreiraDepartment of Molecular Biology and Genetics, Cornell University, Ithaca, New York 14853.
Srikanth GottipatiDepartment of Molecular Biology and Genetics, Cornell University, Ithaca, New York 14853.
Jennifer K GrenierDepartment of Molecular Biology and Genetics, Cornell University, Ithaca, New York 14853.
Andrew G ClarkDepartment of Ecology and Evolutionary Biology, Cornell University, Ithaca, New York 14853.
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
NIAID NIH HHS R01 AI064950
6 · The paper itself

Abstract

Numerous studies across a wide range of taxa have demonstrated that immune genes are routinely among the most rapidly evolving genes in the genome. This observation, however, does not address what proportion of immune genes undergo strong selection during adaptation to novel environments. Here, we determine the extent of very recent divergence in genes with immune function across five populations of Drosophila melanogaster and find that immune genes do not show an overall trend of recent rapid adaptation. Our population-based approach uses a set of carefully matched control genes to account for the effects of demography and local recombination rate, allowing us to identify whether specific immune functions are putative targets of strong selection. We find evidence that viral-defense genes are rapidly evolving in Drosophila at multiple timescales. Local adaptation to bacteria and fungi is less extreme and primarily occurs through changes in recognition and effector genes rather than large-scale changes to the regulation of the immune response. Surprisingly, genes in the Toll pathway, which show a high rate of adaptive substitution between the D. melanogaster and D. simulans lineages, show little population differentiation. Quantifying the flies for resistance to a generalist Gram-positive bacterial pathogen, we found that this genetic pattern of low population differentiation was recapitulated at the phenotypic level. In sum, our results highlight the complexity of immune evolution and suggest that Drosophila immune genes do not follow a uniform trajectory of strong directional selection as flies encounter new environments.

Indexed as

Adaptation, PhysiologicalAnimalsBiological EvolutionDrosophila melanogasterDrosophila ProteinsEvolution, MolecularGenetics, PopulationGenetic VariationGenomeMalePolymorphism, GeneticSelection, GeneticDrosophila ProteinsDrosophila melanogasterevolutionimmunitylocal adaptationpopulation genetics

Identifiers

PMID27815361
PMCPMC5223513
OpenAlexW2548831898

What OpenQuestion holds

Textmetadata
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.