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PXD019586

PXD019586 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitleReproductive cooperation: Milk-pilot C4PR_LIV
DescriptionBy successfully tracking individual maternal food intake and milk investment, we show that offspring gain more milk from their own mother, particularly when partner mothers are unrelated and when offspring born second experience strong competition from older pups. Unrelated partner mothers are less efficient, requiring more energy than sisters to rear communal broods of equivalent mass. Further, while unrelated partners provide more equal (but not proportional) investment in the brood, individual fitness gains from investment are much greater and more equal between sisters. Our results show that cryptic kin discrimination in maternal investment provides a strong selective advantage for the choice of close relatives as communal rearing partners, reducing costs and potential exploitation of effort when partners were closely matched.
HostingRepositoryPRIDE
AnnounceDate2023-06-27
AnnouncementXMLSubmission_2023-06-27_07:41:38.561.xml
DigitalObjectIdentifier
ReviewLevelPeer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportUnsupported dataset by repository
PrimarySubmitterCatarinaFranco
SpeciesList scientific name: Mus musculus (Mouse); NCBI TaxID: 10090;
ModificationList6x(13)C labeled residue; monohydroxylated residue; iodoacetamide derivatized residue
InstrumentQ Exactive
Dataset History
RevisionDatetimeStatusChangeLog Entry
02020-06-04 06:57:02ID requested
12023-06-27 07:41:38announced
Publication List
Dataset with its publication pending
Keyword List
submitter keyword: LC-MS, labeled quantification
Contact List
Rob JBeynon
contact affiliationCentre for Proteome Research G44, Biosciences Building| Institute of Systems, Molecular and Integrative Biology University of Liverpool Crown Street | Liverpool | L69 7ZB +44 151 794 4312
contact emailrbeynon@liverpool.ac.uk
lab head
CatarinaFranco
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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