bioRxivEvolutionary BiologyPreprint
Endogenous RNAi silences a burgeoning sex chromosome arms race
J. Vedanayagam, C.-J. Lin, R. Papareddy, M. D. Nodine, A. S. Flynt, J. Wen, E. C. Lai
Abstract
Although the biological utilities of endogenous RNAi (endo-RNAi) have been largely elusive, recent studies reveal its critical role in the non-model fruitfly Drosophila simulans to suppress selfish genes, whose unchecked activities can severely impair spermatogenesis. In particular, hairpin RNA (hpRNA) loci generate endo-siRNAs that suppress evolutionary novel, X-linked, meiotic drive loci. The consequences of deleting even a single hpRNA (Nmy) in males are profound, as such individuals are nearly incapable of siring male progeny. Here, comparative genomic analyses of D. simulans and D. melanogaster mutants of the core RNAi factor dcr-2 reveal a substantially expanded network of recently-emerged hpRNA-target interactions in the former species. The de novo hpRNA regulatory network in D. simulans bears compelling signatures of sex chromosome conflict and provides insight into molecular strategies that underlie hpRNA emergence. In particular, our data support the existence of ongoing rapid evolution of Nmy/Dox-related networks, recurrent targeting of testis HMG Box loci by hpRNAs, and connections to the piRNA pathway. Importantly, the impact of the endo-RNAi network on gene expression flips the convention for regulatory networks, since we observe strong derepression of targets of the youngest hpRNAs, but only mild effects on the targets of the oldest hpRNAs. These data suggest that endo-RNAi are especially critical during incipient stages of intrinsic sex chromosome conflicts, and that continual cycles of distortion and resolution may contribute to the segregation of species.
- organism: Drosophila
- research focus: chromatin & epigenetic regulation
- research focus: host-pathogen & immune response
- research focus: development & morphogenesis
- research focus: gene regulatory network inference
- approach: comparative / phylogenetic analysis
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