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Dataset . 2012
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Data sources: ZENODO
DRYAD
Dataset . 2012
License: CC 0
Data sources: Datacite
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Data from: Correlational selection on pro- and anti-inflammatory effectors

Authors: Guerreiro, Romain; Besson, Anne A.; Bellenger, Jérôme; Ragot, Kévin; Lizard, Gérard; Faivre, Bruno; Sorci, Gabriele;

Data from: Correlational selection on pro- and anti-inflammatory effectors

Abstract

Parasites impose a permanent threat for hosts. As a consequence, immune defenses are important for host fitness. However, the immune response can also produce self-damage and impair host fitness if not properly regulated. Effectors that up- and down-regulate the immune response should, therefore, evolve in concert, and be under the action of correlational selection. To address this issue, we assessed the shape of the selection operating on pro- and anti-inflammatory effectors following an inflammatory challenge in laboratory mice. We found that selection acts on the combination of these two traits as individuals that produced large amount of pro-inflammatory cytokines could achieve relatively high fitness (survival) only if also producing a large amount of anti-inflammatory effectors. To our knowledge, this is the first study providing evidence for correlational selection on immunity.

data_Correlational selection on pro- and anti-inflammatory effectors_Guerreiro-et-aldata_Guerreiro-et-al.txt

Related Organizations
Keywords

Evolutionary immunology, evolutionary immunology, Darwinian medicine, immunopathology, Immunopathology

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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