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PXD019727

PXD019727 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitleSocial status and ejaculate investment in the house mouse c4pr_liv
DescriptionSperm competition theory predicts that males should tailor ejaculates according to their social status. Here we test this in a model vertebrate, the house mouse (Mus musculus domesticus), combining experimental data with a quantitative proteomics analysis of seminal fluid composition. Our analyses reveal that both sperm production and the relative production of proteins found in seminal fluid differ according to social dominance. Notably, whereas dominant males produce and ejaculate more sperm, subordinate males produce greater relative amounts of key proteins used in the formation of copulatory plugs. These findings have important implications for understanding the dynamics and outcome of sperm competition.
HostingRepositoryPRIDE
AnnounceDate2021-09-09
AnnouncementXMLSubmission_2021-09-09_02:23:55.499.xml
DigitalObjectIdentifier
ReviewLevelPeer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportUnsupported dataset by repository
PrimarySubmitterCatarina Franco
SpeciesList scientific name: Mus musculus (Mouse); NCBI TaxID: 10090;
ModificationListmonohydroxylated residue; iodoacetamide derivatized residue
InstrumentLTQ Orbitrap Velos
Dataset History
RevisionDatetimeStatusChangeLog Entry
02020-06-11 17:29:44ID requested
12021-09-09 02:23:56announced
Publication List
Bayram HL, Franco C, Brownridge P, Claydon AJ, Koch N, Hurst JL, Beynon RJ, Stockley P, Social status and ejaculate composition in the house mouse. Philos Trans R Soc Lond B Biol Sci, 375(1813):20200083(2020) [pubmed]
Keyword List
submitter keyword: sperm competition, LC-MS, LFQ
Contact List
Rob J Beynon
contact affiliationG44, Biosciences Building| Institute of Systems, Molecular and Integrative Biology University of Liverpool Crown Street | Liverpool | L69 7ZB
contact emailrbeynon@liverpool.ac.uk
lab head
Catarina Franco
contact affiliationCentre for Proteome Research, University of Liverpool
contact emailcatarina.franco@liverpool.ac.uk
dataset submitter
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Dataset FTP location
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