Females translate male mRNA transferred during mating
Although RNA is found in the seminal fluid of diverse organisms, it is unknown whether it is functional within females. We developed a proteomic method (VESPA, Variant Enabled SILAC Proteomic Analysis) to test the hypothesis that Drosophila male seminal fluid RNA is translated by females. We found 6...
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Published in | iScience Vol. 27; no. 8; p. 110442 |
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Main Authors | , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
United States
Elsevier Inc
16.08.2024
Elsevier |
Subjects | |
Online Access | Get full text |
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Summary: | Although RNA is found in the seminal fluid of diverse organisms, it is unknown whether it is functional within females. We developed a proteomic method (VESPA, Variant Enabled SILAC Proteomic Analysis) to test the hypothesis that Drosophila male seminal fluid RNA is translated by females. We found 67 male-derived, female-translated proteins (mdFTPs) in female lower reproductive tracts, many with predicted functions relevant to reproduction. Knockout experiments indicate that mdFTPs play diverse roles in postmating interactions, affecting fertilization success, and the formation/persistence of the insemination reaction mass, a trait hypothesized to be involved in sexual conflict. These findings advance our understanding of reproduction by revealing a mechanism of postmating molecular interactions between the sexes that strengthens and extends male influences on reproduction in previously unrecognized ways. Given the diverse species that carry RNA in seminal fluid, this discovery has broad significance for understanding molecular mechanisms of cooperation and conflict during reproduction.
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•Coding and non-coding RNA are a common feature of male seminal fluid•We developed an experimental approach to investigate the role of transferred RNA•Male-derived female-translated proteins (mdFTPs) contribute to proteome of females•mdFTPs have significant functional effects on reproductive phenotypes
Health sciences; Immunity; Virology; Mathematical biosciences; Machine learning |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 Present address: Department of Life, Earth and Environmental Sciences, West Texas A&M University, Canyon, Texas, USA Present address: Graduate Professional Studies, Rabb School of Continuing Studies, Brandeis University, Waltham, Massachusetts, USA These authors contributed equally Lead contact |
ISSN: | 2589-0042 2589-0042 |
DOI: | 10.1016/j.isci.2024.110442 |