Evidence map›Paper›PMID 20080865›Full record

ArticleMolecular biology and evolution2010

Sperm proteomics reveals intensified selection on mouse sperm membrane and acrosome genes.

Steve Dorus, Elizabeth R Wasbrough, Jennifer Busby, Elaine C Wilkin, Timothy L Karr

Abstract read
In one paragraph

Article in Molecular biology and evolution, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers.

0numbers the graph read from it
0cells of the map it votes in
60citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

60 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Haplodiploidy accelerates mitogenome evolution in insects.Proceedings. Biological sciences · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Sperm acquire epididymis-derived proteins through epididymosomes.Human reproduction (Oxford, England) · 2022
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Positive Selection in the Evolution of Mammalian CRISPs.Journal of molecular evolution · 2018
    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.

Steve DorusDepartment of Biology and Biochemistry, University of Bath, Bath, United Kingdom.
Elizabeth R Wasbrough
Jennifer Busby
Elaine C Wilkin
Timothy L Karr

Funding

Characterization of the human and mouse sperm proteomesF32GM076913 · NIGMS · UNIVERSITY OF BATH · PI DORUS, STEPHEN · 2006 to 2008
$145k
Biotechnology and Biological Sciences Research CouncilNIGMS NIH HHS F32 GM076913NIGMS NIH HHS F32GM076913-03
6 · The paper itself

Abstract

Spermatozoa are a focal point for the impact of sexual selection due to sperm competition and sperm-female interactions in a wide range of sexually reproducing organisms. In-depth molecular investigation of the ramifications of these selective regimes has been limited due to a lack of information concerning the molecular composition of sperm. In this study, we utilize three previously published proteomic data sets in conjunction with our whole mouse sperm proteomic analysis to delineate cellular regions of sperm most impacted by positive selection. Interspecific analysis reveals robust evolutionary acceleration of sperm cell membrane genes (which include genes encoding acrosomal and sperm cell surface proteins) relative to other sperm genes, and evidence for positive selection in approximately 22% of sperm cell membrane components was obtained using maximum likelihood models. The selective forces driving the accelerated evolution of these membrane proteins may occur at a number of locations during sperm development, maturation, and transit through the female reproductive tract where the sperm cell membrane and eventually the acrosome are exposed to the extracellular milieu and available for direct cell-cell interactions.

Indexed as

AcrosomeAnimalsChromatography, High Pressure LiquidDatabases, ProteinEvolution, MolecularMaleMembrane ProteinsMiceMice, Inbred BALB CModels, StatisticalOrgan SpecificityPhenotypeProteomeProteomicsSpermatozoaStatistics, NonparametricMembrane ProteinsProteome

Identifiers

PMID20080865
PMCPMC2877994

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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.