Evidence map›Paper›PMID 31814118›Full record

ArticleEvolution; international journal of organic evolution2020

Sexual selection reveals a cost of pathogen resistance undetected in life-history assays.

Tadeusz J Kawecki

Abstract read
In one paragraph

Article in Evolution; international journal of organic evolution, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Direct Detection of Antibiotic Resistance in ChineseJournal of healthcare engineering · 2022
    Article
  3. Article
  4. Sex ratio affects sexual selection against mutant alleles in a locus-specific way.Behavioral ecology : official journal of the International Society for Behavioral Ecology
    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

1 author.

Tadeusz J KaweckiDepartment of Ecology and Evolution, University of Lausanne, CH 1015, Lausanne, Switzerland.ORCID 0000-0002-9244-1991

Funding

Swiss National Science Foundation
6 · The paper itself

Abstract

Mechanisms of resistance to pathogens and parasites are thought to be costly and thus to lead to evolutionary trade-offs between resistance and life-history traits expressed in the absence of the infective agents. On the other hand, sexually selected traits are often proposed to indicate "good genes" for resistance, which implies a positive genetic correlation between resistance and success in sexual selection. Here I show that experimental evolution of improved resistance to the intestinal pathogen Pseudomonas entomophila in Drosophila melanogaster was associated with a reduction in male sexual success. Males from four resistant populations achieved lower paternity than males from four susceptible control populations in competition with males from a competitor strain, indicating an evolutionary cost of resistance in terms of mating success and/or sperm competition. In contrast, no costs were found in larval viability, larval competitive ability and population productivity assayed under nutritional limitation; together with earlier studies this suggests that the costs of P. entomophila resistance for nonsexual fitness components are negligible. Thus, rather than indicating heritable pathogen resistance, sexually selected traits expressed in the absence of pathogens may be sensitive to costs of resistance, even if no such costs are detected in other fitness traits.

Indexed as

Selection, GeneticSexual Behavior, AnimalAnimalsBiological EvolutionDrosophila melanogasterFemaleHost-Pathogen InteractionsLarvaLongevityMalePseudomonasCosts of resistanceexperimental evolutiongood genesHamilton-Zukimmunocompetencetrade-offs

Identifiers

PMID31814118
PMCPMC7028033

What OpenQuestion holds

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Registered trials

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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.