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Epigenetic mechanisms of partial dosage compensation in an avian, female heterogametic system

Cite this dataset

Catalan, Ana; Wolf, Jochen; Merondun, Justin; Knief, Ulrich (2021). Epigenetic mechanisms of partial dosage compensation in an avian, female heterogametic system [Dataset]. Dryad. https://doi.org/10.5061/dryad.15dv41nxz

Abstract

The evolution of genetic sex determination is often accompanied by degradation of one of the proto sex chromosomes. Male heterogametic systems have evolved convergent, epigenetic mechanisms restoring the resulting imbalance in gene dosage between diploid autosomes (AA) and the hemizygous sex chromosome (X). Female heterogametic systems (AAf ZWf, AAm ZZm) tend to only show partial dosage compensation (0.5 < Zf:AAf < 1) and dosage balance (0.5f:ZZm<1). The underlying mechanism remains largely elusive. Here, we quantified gene expression for a total of 15 male and female Eurasian crows (Corvus (corone) spp.) raised under common garden conditions. In addition, we characterized aspects of the regulatory landscape quantifying genome-wide ATAC-seq and 5mC methylation profiles. Partial dosage compensation was explained by female upregulation of Z-linked genes accompanied by increased chromatin accessibility on the female Z chromosome. 5mC methylation was strongly reduced in open chromatin-regions and GC islands and showed chromosome-, but no sex-specific variation. With the exception of the pseudo-autosomal region (PAR), female upregulation of gene expression was evenly spread across the Z chromosome without evidence for regional epigenetic regulation, as has for example been suggested for the male hypermethylated region (MHM) in chicken. Our results support the hypothesis that partial dosage compensation in female heterogametic systems is subject to chromosome-wide, epigenetic control mediated by differential chromatin accessibility between the sexes.

Methods

Tables FM_Liver_PG_20kb_all.txt and FM_Spleen_PG_20kb_all.txt  summarized the ATAC-seq and expression data utilized in this project. Peaks were called using MACS2 and FPKM values were calculated with cuffnorm. The more detailed description of the data can be found in the methods section of the manuscript

The following tables describe the methylation data generated as described in the methods:

5mC_GW_FM.txt - methylation profile chromosome wide

5mC_PEAKS_FM.txt - methylation profile whithin called peaks

5mC_genes.20kb-5kbwin.FM.txt - methylation profile in expressed genes

data_HeterozygosityFMChrZ_v5.6.txt - heterozygosity data on the Z chromosome used to identify the PAR

D_Ko_C04_pooled_chr1.bg - bedgraph file of genome coverage on chr1 used for PAR identification

D_Ko_C04_pooled_chr2.bg - bedgraph file of genome coverage on chr1 used for PAR identification

D_Ko_C04_pooled_chrZ.bg - bedgraph file of genome coverage on chr1 used for PAR identification

D_Ko_C20_pooled_chr1.bg - bedgraph file of genome coverage on chr1 used for PAR identification

D_Ko_C20_pooled_chr2.bg - bedgraph file of genome coverage on chr1 used for PAR identification

D_Ko_C20_pooled_chrZ.bg - bedgraph file of genome coverage on chr1 used for PAR identification

Funding

European Research Council, Award: ERCStG-336536 FuncSpecGen

Knut and Alice Wallenberg Foundation