Evidence map›Paper›PMID 24152695›Full record

ArticleBiology letters2013

Context-dependent expression of sperm quality in the fruitfly.

Daniel Paz Decanini, Bob B M Wong, Damian K Dowling

Abstract read
In one paragraph

Article in Biology letters, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Diagnosing confounded Bateman gradients.Evolution; international journal of organic evolution · 2025
    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

3 authors.

Daniel Paz DecaniniSchool of Biological Sciences, Monash University, , Victoria 3800, Australia.
Bob B M Wong
Damian K Dowling

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In most species, females mate multiply within a reproductive cycle, invoking post-copulatory selection on ejaculatory components. Much research has focused on disentangling the key traits important in deciding the outcomes of sperm competition and investigating patterns of covariance among these traits. Less attention has focused on the degree to which such patterns might be context-dependent. Here, we examine whether the expression of sperm viability-a widely used measure of sperm quality-and patterns of covariance between this trait and male reproductive morphologies, change across distinct age classes and across naturally occurring genotypes, when expressed in both heterozygotic (extreme outbred) and homozygotic (extreme inbred) states in the fruitfly Drosophila melanogaster. Older males, and heterozygous males, generally exhibited higher sperm viability. The male age effect seems at least partly explained by a positive association between sperm numbers and viability. First, old males possessed more stored sperm than young males, and second, sperm numbers and viability were also positively associated within each age class. Furthermore, we found a positive association between sperm viability and testis size, but only among heterozygous, old males. These results suggest that sperm quality is a labile trait, with expression levels that are context-dependent and shaped by multiple, potentially interacting, factors.

Indexed as

AnimalsDrosophila melanogasterFemaleGenotypeHeterozygoteHomozygoteLinear ModelsMalePhenotypeReproductionSexual Behavior, AnimalSpecies SpecificitySpermatozoaSperm CountTime Factorssexual selectionsperm competitionsperm qualitytrade-offs

Identifiers

PMID24152695
PMCPMC3871358

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.