Recurrent innovation of protein-protein interactions in the Drosophila piRNA pathway

Despite being essential for fertility, genome-defense-pathway genes often evolve rapidly. However, little is known about the molecular basis of this adaptation. Here, we characterized the evolution of a protein interaction network within the PIWI-interacting small RNA (piRNA) genome-defense pathway in Drosophila at unprecedented scale and evolutionary resolution. We uncovered the pervasive rapid evolution of a protein interaction network anchored at the heterochromatin protein 1 (HP1) paralog Rhino. Through cross-species high-throughput yeast-two-hybrid screening, we identified three distinct evolutionary protein interaction trajectories across ~40 million years of Drosophila evolution. While several protein interactions are fully conserved, indicating functional conservation despite rapid amino acid-sequence change, other interactions are preserved through coevolution and were detected only between proteins within or from closely related species. We also identified species-restricted protein interactions, revealing insight into the mechanistic diversity and ongoing molecular innovation in Drosophila piRNA production. In sum, our analyses reveal principles of interaction evolution in an adaptively evolving protein-protein interaction network, and support intermolecular interaction innovation as a central molecular mechanism of evolutionary adaptation in protein-coding genes.

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Publication Details

Journal
The EMBO Journal
Published
2025-04-24
DOI
https://doi.org/10.1038/s44318-025-00439-8
Citations
7
Primary Topic
CRISPR and Genetic Engineering
Type
article
Field-Weighted Citation Impact
5.64

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article

Recurrent innovation of protein-protein interactions in the Drosophila piRNA pathway

Sarah Masser, Ulrich Stelzl, Anja Ebert, Peter Refsing Andersen et al.
7 citations
The EMBO Journal
CRISPR and Genetic Engineering
5.64
article

Recurrent innovation of protein-protein interactions in the Drosophila piRNA pathway

Sarah Masser, Ulrich Stelzl, Anja Ebert, Peter Refsing Andersen, Harpreet Kaur Salgania, Sandra Fasching, Sung-Ya Lin, Mandy Jeske, Sebastian Riedelbauch, Mia T Levine, Mie Aarup
article en
7 citations

Abstract

Despite being essential for fertility, genome-defense-pathway genes often evolve rapidly. However, little is known about the molecular basis of this adaptation. Here, we characterized the evolution of a protein interaction network within the PIWI-interacting small RNA (piRNA) genome-defense pathway in Drosophila at unprecedented scale and evolutionary resolution. We uncovered the pervasive rapid evolution of a protein interaction network anchored at the heterochromatin protein 1 (HP1) paralog Rhino. Through cross-species high-throughput yeast-two-hybrid screening, we identified three distinct evolutionary protein interaction trajectories across ~40 million years of Drosophila evolution. While several protein interactions are fully conserved, indicating functional conservation despite rapid amino acid-sequence change, other interactions are preserved through coevolution and were detected only between proteins within or from closely related species. We also identified species-restricted protein interactions, revealing insight into the mechanistic diversity and ongoing molecular innovation in Drosophila piRNA production. In sum, our analyses reveal principles of interaction evolution in an adaptively evolving protein-protein interaction network, and support intermolecular interaction innovation as a central molecular mechanism of evolutionary adaptation in protein-coding genes.

The EMBO JournalVol. 45(6)
University City Science Center (US), University of Graz (AT), Aarhus University (DK), Heidelberg University (DE), BioTechMed-Graz (AT)
European Molecular Biology Organization, Deutsche Forschungsgemeinschaft, Austrian Science Fund, Danmarks Frie Forskningsfond, Karl-Franzens-Universität Graz, Novo Nordisk Fonden, HORIZON EUROPE Marie Sklodowska-Curie Actions
Industry, innovation and infrastructure
Openalex Percentile: Top 4%
CRISPR and Genetic Engineering
5.64
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