A Comprehensive Allele Specific Expression Resource for the Equine Transcriptome - PubMed (original) (raw)
A Comprehensive Allele Specific Expression Resource for the Equine Transcriptome
Harrison Heath et al. Res Sq. 2024.
Update in
- A comprehensive allele specific expression resource for the equine transcriptome.
Heath HD, Peng S, Szmatola T, Ryan S, Bellone RR, Kalbfleisch T, Petersen JL, Finno CJ. Heath HD, et al. BMC Genomics. 2025 Jan 30;26(1):88. doi: 10.1186/s12864-025-11240-6. BMC Genomics. 2025. PMID: 39885415 Free PMC article.
Abstract
Background: Allele-specific expression (ASE) analysis provides a nuanced view of cis-regulatory mechanisms affecting gene expression.
Results: An equine ASE analysis was performed, using integrated Iso-seq and short-read RNA sequencing data from four healthy Thoroughbreds (2 mares and 2 stallions) across 9 tissues from the Functional Annotation of Animal Genomes (FAANG) project. Allele expression was quantified by haplotypes from long-read data, with 42,900 allele expression events compared. Within these events, 635 (1.48%) demonstrated ASE, with liver tissue containing the highest proportion. Genetic variants within ASE events were in histone modified regions 64.2% of the time. Validation of allele-specific variants, using a set of 66 equine liver samples from multiple breeds, confirmed that 97% of variants demonstrated ASE.
Conclusions: This valuable publicly accessible resource is poised to facilitate investigations into regulatory variation in equine tissues. Our results highlight the tissue-specific nature of allelic imbalance in the equine genome.
Keywords: FAANG; RNA-sequencing; epigenetics; haplotype; horse.
Conflict of interest statement
Competing interests The authors declare that they have no competing interests,
Figures
Figure 1. ASDEGs comparisons across tissues
The scatter plots display the absolute log2-fold change in allele expression for identified ASDEGs across various tissues. Each gene featured has at least 2 identified ASE events across all horses and tissues. ASDEGs are graphed in alphabetical order. Each dot represents the expression fold change for a gene in a specific tissue, plotted against the gene symbol on the x-axis and the absolute log2-fold change on the y-axis. The dotted line indicates the significance threshold of a 2-fold change. The color coding corresponds to different tissues, as indicated in the legend.
Figure 2. Histone modified regions overlapping variants of ASE events
Upset plot representing the distribution and overlap of histone modifications across heterozygous loci associated with allele-specific differentially expressed genes (ASDEGs). Each circle corresponds to a specific histone modification as indicated by the legend (H3K27ac, H3K4me1, H3K27me3, H3K4me3). Circles, and their respective frequency bars, denote the count of SNP regions that exhibit the corresponding histone modifications.
Figure 3. ASDEG enrichment analysis
Bar chart depicting the number of ASDEGs (Allele Specific Differentially Expressed Genes) present within significantly enriched pathways identified in each tissue type from KOBAS enrichment analysis. Tissues analyzed include Liver, Ovary, Testis, Lamina, Heart, Parietal Cortex, and Adipose.
Figure 4. Validation of ASE in heterozygous loci in liver tissue from an independent dataset
Distribution of absolute log-fold changes at heterozygous loci identified within allele-specific expression (ASE) events in liver tissue, and their overlay with a validation set of short-read RNA-seq data. Two categories are presented: non-Significant events (blue) and Significant events (orange) that exhibit ASE. The dashed red line indicates the significance threshold, with the loci to the right deemed to show Significant ASE.
References
- Castel SE, Aguet F, Mohammadi P, Aguet F, Anand S, Ardlie KG, Gabriel S, Getz GA, Graubert A, Hadley K, Handsaker RE, Huang KH, Kashin S, Li X, MacArthur DG, Meier SR, Nedzel JL, Nguyen DT, Segrè AV, GTEx Consortium. A vast resource of allelic expression data spanning human tissues. Genome Biol. 2020;21(1):234. 10.1186/s13059-020-02122-z. -DOI -PMC -PubMed
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