The dynamic genetic determinants of increased transcriptional divergence in spermatids

Cis-genetic effects are key determinants of transcriptional divergence in discrete tissues and cell types. However, how cis- and trans-effects act across continuous trajectories of cellular differentiation in vivo is poorly understood. Here, we quantify allele-specific expression during spermatogeni...

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Auteurs principaux: Panten, Jasper (Auteur) , Heinen, Tobias (Auteur) , Ernst, Christina (Auteur) , Eling, Nils (Auteur) , Wagner, Rebecca E. (Auteur) , Satorius, Maja (Auteur) , Marioni, John C. (Auteur) , Stegle, Oliver (Auteur) , Odom, Duncan T. (Auteur)
Format: Article (Journal)
Langue:anglais
Publié: 10 February 2024
In: Nature Communications
Year: 2024, Volume: 15, Pages: 1-13
ISSN:2041-1723
DOI:10.1038/s41467-024-45133-1
Accès en ligne:Verlag, kostenfrei, Volltext: https://doi.org/10.1038/s41467-024-45133-1
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Notes sur l'auteur:Jasper Panten, Tobias Heinen, Christina Ernst, Nils Eling, Rebecca E. Wagner, Maja Satorius, John C. Marioni, Oliver Stegle & Duncan T. Odom
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Résumé:Cis-genetic effects are key determinants of transcriptional divergence in discrete tissues and cell types. However, how cis- and trans-effects act across continuous trajectories of cellular differentiation in vivo is poorly understood. Here, we quantify allele-specific expression during spermatogenic differentiation at single-cell resolution in an F1 hybrid mouse system, allowing for the comprehensive characterisation of cis- and trans-genetic effects, including their dynamics across cellular differentiation. Collectively, almost half of the genes subject to genetic regulation show evidence for dynamic cis-effects that vary during differentiation. Our system also allows us to robustly identify dynamic trans-effects, which are less pervasive than cis-effects. In aggregate, genetic effects were strongest in round spermatids, which parallels their increased transcriptional divergence we identified between species. Our approach provides a comprehensive quantification of the variability of genetic effects in vivo, and demonstrates a widely applicable strategy to dissect the impact of regulatory variants on gene regulation in dynamic systems.
Description:Gesehen am 12.09.2024
Description matérielle:Online Resource
ISSN:2041-1723
DOI:10.1038/s41467-024-45133-1