Molecular Biology and EvolutionEvolutionary BiologyPeer-reviewed journal article
Transposable elements drive regulatory and functional innovation of F-box genes
Miguel Vasconcelos AlmeidaiD, Zixin LiiD, Pedro Rebelo‐GuiomariD, Alexandra DallaireiD, Lukáš FiedleriD, Jonathan L. PriceiD, Jan SlukaiD, Xiaodan LiuiD, Falk ButteriD, Christian RödelspergeriD, Eric Alexander MiskaiD
Abstract
Protein domains of transposable elements (TEs) and viruses increase the protein diversity of host genomes by recombining with other protein domains. By screening 10 million eukaryotic proteins, we identified several domains that define multi-copy gene families and frequently co-occur with TE/viral domains. Among these, a Tc1/Mariner transposase helix-turn-helix (HTH) domain was captured by F-box genes in the Caenorhabditis genus, creating a new class of F-box genes. For specific members of this class, like fbxa-215, we found that the HTH domain is required for diverse processes including germ granule localisation, fertility, and thermotolerance. Furthermore, we provide evidence that HSF-1 mediates the transcriptional integration of fbxa-215 into the heat-shock response by binding to Helitron TEs directly upstream of the fbxa-215 locus. The interactome of HTH-bearing F-box factors suggests roles in post-translational regulation and proteostasis, consistent with established functions of F-box proteins. Based on AlphaFold2 multimer proteome-wide screens, we propose that the HTH domain may diversify the repertoire of protein substrates that F-box factors regulate post-translationally. We further demonstrate that F-box genes repeatedly and independently captured TE domains throughout eukaryotic evolution, and describe an additional instance in zebrafish. In conclusion, we identify recurrent TE domain captures by F-box genes in eukaryotes and provide insights into how these novel proteins are integrated within host gene regulatory networks.
- organism: C. elegans
- organism: zebrafish
- assay: proteomics
- research focus: protein folding & dynamics
- research focus: cell signaling & trafficking
- approach: deep learning
- Citations
- 5
- FWCI
- 2.33
- Field percentile
- top 13%
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