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 spermatoge...
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Published in | Nature communications Vol. 15; no. 1; pp. 1272 - 13 |
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Main Authors | , , , , , , , , |
Format | Journal Article |
Language | English |
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London
Nature Publishing Group UK
10.02.2024
Nature Publishing Group Nature Portfolio |
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Abstract | 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.
Here the authors show that genetic changes between species often alter gene expression in a cell type-specific manner. Most of this variability is driven by locally functioning cis-acting variation, and this contributes to the speed at which cell types accumulate expression changes. |
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AbstractList | Abstract 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. 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. Here the authors show that genetic changes between species often alter gene expression in a cell type-specific manner. Most of this variability is driven by locally functioning cis-acting variation, and this contributes to the speed at which cell types accumulate expression changes. 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.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. 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. 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.Here the authors show that genetic changes between species often alter gene expression in a cell type-specific manner. Most of this variability is driven by locally functioning cis-acting variation, and this contributes to the speed at which cell types accumulate expression changes. 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. |
ArticleNumber | 1272 |
Author | Eling, Nils Heinen, Tobias Ernst, Christina Satorius, Maja Marioni, John C. Odom, Duncan T. Stegle, Oliver Panten, Jasper Wagner, Rebecca E. |
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BackLink | https://www.ncbi.nlm.nih.gov/pubmed/38341412$$D View this record in MEDLINE/PubMed |
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Snippet | Cis-
genetic effects are key determinants of transcriptional divergence in discrete tissues and cell types. However, how
cis-
and
trans-
effects act across... Cis-genetic effects are key determinants of transcriptional divergence in discrete tissues and cell types. However, how cis- and trans-effects act across... Abstract Cis-genetic effects are key determinants of transcriptional divergence in discrete tissues and cell types. However, how cis- and trans-effects act... |
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SubjectTerms | 38/39 45/47 45/91 631/181/2474 631/208/135 631/208/514/1949 631/208/728 64/60 Animals Cancer research Cell differentiation Cells Differentiation (biology) Divergence Dynamical systems Gene expression Gene Expression Regulation Gene regulation Genetic effects Genomes Genomics Humanities and Social Sciences Hybrid systems Male Medical research Mice Molecular biology multidisciplinary Science Science (multidisciplinary) Sperm Spermatids Spermatogenesis Transcription Variability |
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Title | The dynamic genetic determinants of increased transcriptional divergence in spermatids |
URI | https://link.springer.com/article/10.1038/s41467-024-45133-1 https://www.ncbi.nlm.nih.gov/pubmed/38341412 https://www.proquest.com/docview/2924578668 https://www.proquest.com/docview/2925033420 https://pubmed.ncbi.nlm.nih.gov/PMC10858866 https://doaj.org/article/0aabafdc3a6a47a1b3c45ad1b7b7f851 |
Volume | 15 |
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