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An Epigenetic Role for Maternally Inherited piRNAs in Transposon Silencing

Open access
Brennecke, Julius, Malone, Colin D., Aravin, Alexei A., Sachidanandam, Ravi, Stark, Alexander, Hannon, Gregory J.·2008·Science

Abstract

In plants and mammals, small RNAs indirectly mediate epigenetic inheritance by specifying cytosine methylation. We found that small RNAs themselves serve as vectors for epigenetic information. Crosses between Drosophila strains that differ in the presence of a particular transposon can produce sterile progeny, a phenomenon called hybrid dysgenesis. This phenotype manifests itself only if the transposon is paternally inherited, suggesting maternal transmission of a factor that maintains fertility. In both P - and I -element–mediated hybrid dysgenesis models, daughters show a markedly different content of Piwi-interacting RNAs (piRNAs) targeting each element, depending on their parents of origin. Such differences persist from fertilization through adulthood. This indicates that maternally deposited piRNAs are important for mounting an effective silencing response and that a lack of maternal piRNA inheritance underlies hybrid dysgenesis.

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Metadata

Authors
Brennecke, J., Malone, C. D., Aravin, A. A., Sachidanandam, R., Stark, A., & Hannon, G. J.
Venue
Science
Published
2008-11-28
Volume
322
Issue
5906
Pages
1387-1392
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W2068711892
Cited by
771
References
1
FWCI
62.47
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: An Epigenetic Role for Maternally Inherited piRNAs in Transposon Silencing. https://app.cochat.ai/papers/10.1126/science.1165171
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Brennecke, J., Malone, C. D., Aravin, A. A., Sachidanandam, R., Stark, A., & Hannon, G. J. (2008). An Epigenetic Role for Maternally Inherited piRNAs in Transposon Silencing. Science. https://doi.org/10.1126/science.1165171

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.