Evidence map›Paper›PMID 24363906›Full record

ArticleEcology and evolution2013

Heterozygosity is linked to the costs of immunity in nestling great tits (Parus major).

Beatrice Voegeli, Verena Saladin, Michèle Wegmann, Heinz Richner

Abstract read
In one paragraph

Article in Ecology and evolution, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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

2 citing papers in PubMed.

  1. 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

4 authors.

Beatrice VoegeliEvolutionary Ecology Lab, Institute of Ecology and Evolution, University of Bern Baltzerstrasse 6, 3012, Bern, Switzerland.
Verena SaladinEvolutionary Ecology Lab, Institute of Ecology and Evolution, University of Bern Baltzerstrasse 6, 3012, Bern, Switzerland.
Michèle WegmannEvolutionary Ecology Lab, Institute of Ecology and Evolution, University of Bern Baltzerstrasse 6, 3012, Bern, Switzerland.
Heinz RichnerEvolutionary Ecology Lab, Institute of Ecology and Evolution, University of Bern Baltzerstrasse 6, 3012, Bern, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is growing evidence that heterozygosity-fitness correlations (HFCs) are more pronounced under harsh conditions. Empirical evidence suggests a mediating effect of parasite infestation on the occurrence of HFCs. Parasites have the potential to mediate HFCs not only by generally causing high stress levels but also by inducing resource allocation tradeoffs between the necessary investments in immunity and other costly functions. To investigate the relative importance of these two mechanisms, we manipulated growth conditions of great tit nestlings by brood size manipulation, which modifies nestling competition, and simultaneously infested broods with ectoparasites. We investigated under which treatment conditions HFCs arise and, second, whether heterozygosity is linked to tradeoff decisions between immunity and growth. We classified microsatellites as neutral or presumed functional and analyzed these effects separately. Neutral heterozygosity was positively related to the immune response to a novel antigen in parasite-free nests, but not in infested nests. For nestlings with lower heterozygosity levels, the investments in immunity under parasite pressure came at the expenses of reduced feather growth, survival, and female body condition. Functional heterozygosity was negatively related to nestling immune response regardless of the growth conditions. These contrasting effects of functional and neutral markers might indicate different underlying mechanisms causing the HFCs. Our results confirm the importance of considering marker functionality in HFC studies and indicate that parasites mediate HFCs by influencing the costs of immune defense rather than by a general increase in environmental harshness levels.

Indexed as

Heterozygosity–fitness correlationimmunitymarker functionalityparasites

Identifiers

PMID24363906
PMCPMC3867913

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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.