Evidence map›Paper›PMID 38698926›Full record

ArticleEcology and evolution2024

Population density effects on gamete traits and fertilisation dynamics under varying sperm environments in mussels.

Craig D H Sherman, Vincent Careau, Clelia Gasparini, Kim J Weston, Jonathan P Evans

Abstract read
In one paragraph

Article in Ecology and evolution, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Craig D H ShermanSchool of Life and Environmental Sciences Deakin University Geelong Victoria Australia.ORCID https://orcid.org/0000-0003-2099-0462
Vincent CareauDepartment of Biology University of Ottawa Ottawa Ontario Canada.
Clelia GaspariniDepartment of Biology University of Padova Padova Italy.ORCID https://orcid.org/0000-0001-9172-1142
Kim J WestonSchool of Life and Environmental Sciences Deakin University Geelong Victoria Australia.
Jonathan P EvansCentre for Evolutionary Biology, School of Biological Sciences University of Western Australia Crawley Western Australia Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gamete traits can vary widely among species, populations and individuals, influencing fertilisation dynamics and overall reproductive fitness. Sexual selection can play an important role in determining the evolution of gamete traits with local environmental conditions determining the strength and direction of sexual selection. Here, we test for signatures of post-mating selection on gamete traits in relation to population density, and possible interactive effects of population density and sperm concentration on sperm motility and fertilisation rates among natural populations of mussels. Our study shows that males from high-density populations produce smaller sperm compared with males from low-density populations, but we detected no effect of population density on egg size. Our results also reveal that females from low-density populations tended to exhibit lower fertilisation rates across a range of sperm concentrations, although this became less important as sperm concentration increased. Variances in fertilisation success were higher for females than males and the effect of gamete compatibility between males and females increases as sperm concentrations increase. These results suggest that local population density can influence gamete traits and fertilisation dynamics but also highlight the importance of phenotypic plasticity in governing sperm-egg interactions in a highly dynamic selective environment.

Indexed as

cryptic female choicegenotype by environmentmaternal effectpolyspermysexual selectionsperm competition

Identifiers

PMID38698926
PMCPMC11063781

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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.