Evidence map›Paper›PMID 26776733›Full record

ArticleCurrent biology : CB2016

Convergent Balancing Selection on an Antimicrobial Peptide in Drosophila.

Robert L Unckless, Virginia M Howick, Brian P Lazzaro

Open access · bronzeAbstract read
In one paragraph

Article in Current biology : CB, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 71 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
71citing papers in PubMed, 1 pooled it
7.9field-weighted citation impact, top 2% 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

71 citing papers in PubMed, 1 synthesis or guideline pooled it, 145 citations in OpenAlex.

  1. Pooled it
  2. Artificial intelligence catalyzes antimicrobial peptide design.Synthetic and systems biotechnology · 2027
    Review
  3. Article
  4. Article
  5. A century of theories of balancing selection.Biological reviews of the Cambridge Philosophical Society · 2026
    Review
  6. Article
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  16. Article
  17. Review
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11 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

3 authors at 1 institution in 1 country.

Robert L UncklessDepartment of Entomology, Cornell University, Ithaca, NY 14853, USA. Electronic address: unckless@cornell.edu.
Virginia M HowickDepartment of Entomology, Cornell University, Ithaca, NY 14853, USA.
Brian P LazzaroDepartment of Entomology, Cornell University, Ithaca, NY 14853, USA.
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
Antimicrobial peptides as models for the evolution of gene duplicationK99GM114714 · NIGMS · CORNELL UNIVERSITY · PI UNCKLESS, ROBERT L · 2015 to 2015
$90k
NIAID NIH HHS R01 AI064950NIAID NIH HHS R01 AI083932NICHD NIH HHS F32 HD071703NICHD NIH HHS F32-HD071703NIGMS NIH HHS K99 GM114714NIGMS NIH HHS K99-GM114714
6 · The paper itself

Abstract

Genes of the immune system often evolve rapidly and adaptively, presumably driven by antagonistic interactions with pathogens [1-4]. Those genes encoding secreted antimicrobial peptides (AMPs), however, have failed to exhibit conventional signatures of strong adaptive evolution, especially in arthropods (e.g., [5, 6]) and often segregate for null alleles and gene deletions [3, 4, 7, 8]. Furthermore, quantitative genetic studies have failed to associate naturally occurring polymorphism in AMP genes with variation in resistance to infection [9-11]. Both the lack of signatures of positive selection in AMPs and lack of association between genotype and immune phenotypes have yielded an interpretation that AMP genes evolve under relaxed evolutionary constraint, with enough functional redundancy that variation in, or even loss of, any particular peptide would have little effect on overall resistance [12, 13]. In stark contrast to the current paradigm, we identified a naturally occurring amino acid polymorphism in the AMP Diptericin that is highly predictive of resistance to bacterial infection in Drosophila melanogaster [13]. The identical amino acid polymorphism arose in parallel in the sister species D. simulans, by independent mutation with equivalent phenotypic effect. Convergent substitutions at the same amino acid residue have evolved at least five times across the Drosophila genus. We hypothesize that the alternative alleles are maintained by balancing selection through context-dependent or fluctuating selection. This pattern of evolution appears to be common in AMPs but is invisible to conventional screens for adaptive evolution that are predicated on elevated rates of amino acid divergence.

Indexed as

AllelesAnimalsAnti-Infective AgentsDrosophilaDrosophila ProteinsEvolution, MolecularMutationPolymorphism, GeneticAnti-Infective AgentsDrosophila Proteins

Identifiers

PMID26776733
PMCPMC4729654
OpenAlexW2280618118

What OpenQuestion holds

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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.