Biology subjects

Madsen, O.

Publications and source records attributed to Madsen, O..

12 recordsLinked to original sources

bioRxiv2026

Genetic determinism and inheritance of differential DNA methylation profiles across three successive generations in quail.

Environmental exposures can induce epigenetic modifications that persist across generations, potentially contributing to the transmission of environmentally-induced phenotypes. However, the extent to which such persistence of molecular changes are maintained independently of genetic mechanisms remains unclear. In this study, we investigated the evolution and genetic determinism of DNA methylation (DNAm) variation across three successive generations of Japanese quails (G0 to G2) belonging to two epilines, defined according to whether their female ancestor had received genistein supplementation (epi+) or not (epi-). Using reduced representation bisulfite sequencing (RRBS), we characterised CpG methylation patterns and identified differentially methylated cytosines (DMCs) and regions (DMRs) between control and genistein-supplemented epilines. Out of 112,745 CpG sites analysed, no DMCs or DMRs were detected between epilines in the first generation following exposure (G0), whereas 621 DMCs (36 DMRs) were identified in G1, and 1,381 DMCs (101 DMRs) in G2. Despite this progressive increase of differential methylation sites, mean differences in methylation rate between epilines were globally small. Similarly, genome-wide genetic differentiation between epilines was very limited. Overall, SNP-based heritability of DNA methylation was 0.19 indicating that genetic variation accounted for only a small part of the global variation of DNAm levels. By contrast, DNAm at differentially methylated CpG sites was extensively under genetic control, with a mean SNP-based heritability > 0.5, and meQTL analysis further identified significant associations between SNPs and methylation levels. Together, these results indicate that local DNAm differentiation in quail is under substantial genetic regulation, while the limited genetic differentiation between groups suggests that genetic variation alone can not fully explain the progressive accumulation of methylation differences following an ancestral exposure to genistein. These results support DNAm as a plausible molecular candidate mechanism in the multigenerational response to environmental exposure and highlight the complex interplay between genetic and epigenetic regulations in the inheritance of phenotypes.

genomics↗

bioRxiv2026

A multi-tissue epigenomic atlas links the sheep non-coding genome to domestication and complex traits

Non-coding regulatory variation drives complex traits, domestication, and evolutionary adaptation, yet the sheep genome lacks high-resolution functional annotation. Here we present SheepEpimap, a multi-tissue regulatory atlas harmonizing 516 CUT&Tag histone modifications, ATAC-seq, and RNA-seq datasets across 43 adult tissues in sheep. We annotated 2.93 million cis-regulatory elements, yielding 557,441 enhancer-gene pairs and 145,407 variants with allele-specific effects. By training a sequence-to-function deep-learning model, we decoded the base-pair syntax of chromatin accessibility, annotated transcription factor motif instances genome-wide, and constructed 12,210 tissue-specific gene regulatory networks (GRNs). Integrating this resource with multi-tissue expression quantitative trait loci, selection sweeps, and genome-wide association studies prioritized non-coding variants driving domestication and complex traits. Finally, cross-species analysis revealed that sequence-conserved, tissue-matched enhancers were significantly enriched in the heritability of complex traits and diseases in humans. In summary, SheepEpimap (https://genome.ucsc.edu/s/mengzhu/SheepEpimap) provides an open-access foundational ecosystem for sheep functional genomics, precision breeding, and comparative biology.

genetics↗

bioRxiv2026

The enhanced multi-tissue atlas of regulatory effects in cattle

Cattle are integral to global food security, yet the molecular architecture of their complex traits remains poorly understood. Here, we present the Cattle Genotype-Tissue Expression (CattleGTEx) Phase 1 resource (https://cattlegtex.farmgtex.org/), a substantial expansion of the pilot study. By leveraging 12,422 RNA-seq profiles across 43 tissues and 82 breeds, we characterized 433,972 primary and 161,428 non-primary regulatory effects spanning seven molecular phenotypes. This high-resolution atlas resolves 75% of GWAS signals for 44 complex traits, significantly addressing the "missing regulation" in livestock. We propose a genetic regulatory model demonstrating how variants across multiple biological layers interact with specific biological contexts to shape phenotypic variation. Furthermore, CattleGTEx elucidates mechanisms underlying adaptive evolution between Bos taurus and Bos indicus, as well as artificial selection in dairy and beef breeds. Finally, by mapping evolutionary constraints on these regulatory effects, we demonstrate the translational value of this resource for prioritizing causal variants in human complex diseases. Together, Phase 1 of CattleGTEx provides a transformative framework for functional genomics, precision breeding, and comparative genetics.

genetics↗

bioRxiv2026

Sex-specific Genetic Regulatory Effects in Chickens

Sexual dimorphism is a defining vertebrate feature, yet its sex-specific molecular architecture remains poorly understood. Here we established a sex-balanced, uniformly reared chicken cohort to map this landscape, integrating individual whole-genome sequencing with 7,969 bulk and 779,380 single nucleus transcriptomes across 32 tissues from 280 birds. We identified 495,098 independent expression quantitative trait loci for 20,194 genes, including 10,937 loci modulated by cell-type composition. Notably, 340 genes were regulated by 449 loci in a sex-dependent manner, significantly enrichment in endocrine tissues like adipose and the adrenal gland. Furthermore, we fine-mapped 1,219 structural variants, demonstrating their unique roles to tissue- and sex-specific expression beyond SNPs. Ultimately, we showed the utility of these regulatory effects in elucidating the molecular basis of metabolism and complex traits in both chickens and humans. This comprehensive atlas of regulatory effects provides profound insights into the genomic and molecular basis of sexual dimorphism in vertebrates.

genomics↗

bioRxiv2025

DNA methylation networks during pig fetal development: a joint fused ridge estimation approach

Although an organisms genetic information is predominantly identical among most of its cell types, the epigenome regulates the expression of the genome in a cell type- and context-dependent manner. In mammals, DNA methylation in regulatory regions, such as promoters, primarily regulates gene expression by inducing transcriptional inactivation. With genome-wide approaches came the realization that DNA methylation patterns underlying mammalian development are considerably more dynamic than previously recognized. This realization highlights the need for methodological approaches capable of capturing this phenomenon. In this study, we investigated the feasibility of modeling DNA methylation networks by jointly estimating regularized precision matrices from time- and tissue-specific omics data derived from the pig genome. For that, we utilized RNA-Seq and RRBS data that span seven pig tissues at three developmental stages: early organogenesis, late organogenesis, and newborn. Our analysis focused on 61, 48, and 74 genes -- differentially expressed across developmental stages and CpG-methylated in promoter regions, from endoderm-, mesoderm-, and ectoderm-derived tissues, respectively. Using a joint fused ridge approach, we were able to borrow information across tissues and time points, enabling more robust network inference. This analytical framework advances exploratory methods for studying organism development using pig as a model species. Our results highlight the importance of fetal-maternal immunity and the circulatory system in early development, and shed light on dynamic interactions across tissues, organ systems, and germ layers. We anticipate that this flexible framework can be extended to other omics data and species, facilitating future research. Author summaryThis study explores how gene activity is controlled during pig fetal development using networks. The epigenome can turn genes on and off, depending on, e.g. the cells function and the organisms growth stage. This process includes chemical changes to DNA, such as methylation. We focused on DNA methylation patterns during pig fetal development by analyzing samples from several organs at three stages of fetal growth. We combined gene activity data with DNA methylation data by using a network-based method that allows us to visualize and study how genes interact across different tissues and developmental stages. We discovered that the immune and circulatory systems are critical during early development. We have also observed complex interactions across tissues and organ systems. Our study provides a flexible toolbox with clear, step-by-step explanations. This analytical framework can be used to explore developmental patterns at the genomic scale in other species and can be adapted to different types of biological data.

bioinformatics↗

bioRxiv2025

Guiding eQTL mapping and genomic prediction of gene expression in three pig breeds with tissue-specific epigenetic annotations from early development

Gene expression is a dynamic phenotype influenced by tissue-specific regulatory mechanisms, which can modulate expression directly or indirectly through cis or trans factors. Identifying genetic variants in these regulatory regions can improve both expression quantitative trait locus (eQTL) mapping and gene expression prediction. Whole genome sequences offer the possibility for enhanced eQTL mapping accuracy, but detecting causal variants remains challenging. Here, we evaluate the potential added-value of integrating tissue-specific epigenetic annotations, such as chromatin accessibility and methylation status, into within-breed genomic predictions of expression for three pig breeds. Functional annotations from early developmental stages improved eQTL mapping interpretability as shown by the enrichment of trait-relevant QTLs. However, despite the use of functional annotations, predictions across breeds remain challenging due to differences in genetic architectures. Our work contributes to the understanding of gene expression regulation in livestock and highlights the value of functional annotations, despite continued challenges for predictions across breeds. HighlightsO_LIMatched whole-genome sequences and expressions reveal transcriptional regulatory variants. C_LIO_LIEarly epigenetic marks can guide transcriptome prediction and eQTL mapping. C_LIO_LIAnnotation-guided models can enhance the interpretability of eQTL mapping. C_LIO_LIPorting predictions across pig breeds remains challenging even with annotations. C_LIO_LIA case study linked IGF2 liver eQTLs with annotations and cholesterol QTLs. C_LI

genomics↗

bioRxiv2025

Mapping the Landscape of Allele-Specific Expression In Porcine Genomes

Allele-specific expression (ASE) is the imbalanced expression of two alleles of the same locus. It is quite pervasive among mammals and is associated with healthy and economically relevant traits. ASE is often used to support the identification of variants related to gene expression (cis-eQTLs). Thus, profiling ASE represents a significant step in elucidating the mechanism underlying gene expression regulation. In this study, we developed an ASE pipeline using public available RNA-seq data and open-source software. Using this pipeline, we were able to profile pervasive allelic imbalance across 42 tissues and 34 breeds from the Farm-GTEX-pig consortium at both SNP and gene levels without the need for parental genotype or whole genome sequence data. ASE was widely, but not evenly, spread across the genome. We also observed considerable variation in ASE profiles among various tissues, in which the ASE fraction ranged from 1.3% to 54.1%. ASE tends to be highly tissue-specific, and the overlap across tissues is limited. The functional analysis of tissue-specific ASE sites indicates that they are involved in the critical maintenance of these tissues. Our ASE pipeline can be readily applied to other RNA-seq data sets for livestock, thereby significantly expanding its potential utility. The wealth of available ASE resources provides a solid foundation for identifying regulatory elements within the genome that drive complex traits in livestock, making our pipeline and results valuable resources for researchers in this field.

genomics↗

bioRxiv2025

Genomic Insights into the Demographic History and Local Adaptation of Wild Boars Across Eurasia

Wild boars exhibit genetic and phenotypic diversity shaped by migrations and local adaptations. Its expansion across Eurasia, especially in central Asia, remains underexplored. Here, we present newly sequenced whole-genome data of 47 wild boars from Eastern Asia, Central Asia, and Europe, combined with 49 existing genomes, creating a comprehensive dataset of 96 individuals. Our analyses show that Asian wild boars and Southeast Asian Suids split [~]3.6 Mya, with Central Asian and Southern Chinese ancestors diverging [~]1.8 Mya. The split between Central Asian and European-Near East ancestors occurred [~]0.9 Mya, followed by a European-Near East divergence [~]0.6 Mya. We identify signatures of local adaptation in Central Asian populations, including two positively selected variants in LPIN1, associated with cold adaptation, and a missense mutation in ALPK2, linked to meat traits. These findings provide insights into wild boar dispersal and adaptation, and shed light on domestic pigs breeding.

evolutionary biology↗

bioRxiv2024

A high coverage Mesolithic aurochs genome and effective leveraging of ancient cattle genomes using whole genome imputation.

Ancient genomic analyses are often restricted to utilising pseudo-haploid data due to low genome coverage. Leveraging low coverage data by imputation to calculate phased diploid genotypes that enable haplotype-based interrogation and SNP calling at unsequenced positions is highly desirable. This has not been investigated for ancient cattle genomes despite these being compelling subjects for archaeological, evolutionary and economic reasons. Here we test this approach by sequencing a Mesolithic European aurochs (18.49x; 9852-9376 calBC), an Early Medieval European cow (18.69x; 427-580 calAD), and combine these with published individuals; two ancient and three modern. We downsample these genomes (0.25x, 0.5x, 1.0x, 2.0x) and impute diploid genotypes, utilising a reference panel of 171 published modern cattle genomes that we curated for 21.7 million (Mn) phased single-nucleotide polymorphisms (SNPs). We recover high densities of correct calls with an accuracy of >99.1% at variant sites for the lowest downsample depth of 0.25x, increasing to >99.5% for 2.0x (transversions only, minor allele frequency (MAF) [≥]2.5%). The recovery of SNPs correlates with coverage, on average 58% of sites are recovered for 0.25x increasing to 87% for 2.0x, utilising an average of 3.5 million (Mn) transversions (MAF [≥]2.5%), even in the aurochs which is temporally and morphologically distinct from the reference panel. Our imputed genomes behave similarly to directly called data in allele-frequency-based analyses; for example consistently identifying runs of homozygosity >2mb, including a long homozygous region in the Mesolithic European aurochs.

genomics↗

bioRxiv2023

Construction of a multi-tissue cell atlas reveals cell-type-specific regulation of molecular and complex phenotypes in pigs

The systematic characterization of cellular heterogeneity among tissues and cell-type-specific regulation underlying complex phenotypes remains elusive in pigs. Within the Pig Genotype-Tissue Expression (PigGTEx) project, we present a single-cell transcriptome atlas of adult pigs encompassing 229,268 high-quality nuclei from 19 tissues, annotated to 67 major cell types. Besides cellular heterogeneity within and across tissues, we further characterize prominent tissue-specific features and functions of muscle, epithelial, and immune cells. Through deconvoluting 3,921 bulk RNA-seq samples from 17 matching tissues, we dissect thousands of genetic variants with cell-type interaction effects on gene expression (ieQTL). By colocalizing these ieQTL with variants associated with 268 complex traits, we provide new insights into the cellular mechanisms behind these traits. Moreover, we highlight that orthologous genes with cell-type-specific regulation in pigs exhibit significant heritability enrichment for some human complex phenotypes. Altogether, our work provides a valuable resource and highlights novel insights in cellular regulation of complex traits for accelerating pig precision breeding and human biomedical research.

genetics↗

bioRxiv2022

Variabilities and similarities of adult stem cells derived intestinal organoids originating from different intestinal segments in pig

1.Organoids are in vitro model systems generated from tissues. Organoids express specific physiological functions associated with their original tissue location and they express tissue-segment-specific genes. The aim of this study was to culture pig organoids from different areas of intestinal segments: duodenum, ileum (with or without Peyers Patches (PP)), and colon, to investigate the resemblance with the in vivo tissues and variability of multiple adjacent sampling sites based on histology and transcriptome profiles. The transcriptome profiles of the in vivo tissues and the derived organoids showed high resemblance for all intestinal segments. For the transcriptomic cluster analysis it was shown that it is important to use tissue important genes to shown the resemble between tissue and their derived organoids. The transcriptome profiles clearly separated the intestinal segments, and samples of the same segment from adjacent tissue locations showed high transcriptome profile similarity. Ileum samples with and without PP were also separated. Pathway analysis of differentially expressed genes from PP compared with non-PP suggested the importance of several aspects of cell cycle progression regulation, including DNA metabolism, chromatin organization, regulation of mitotic stage progression, and regulation of inflammation. Based primarily on the transcriptomics results, we conclude that organoids reflect the sampled intestinal segment and that organoids derived from adjacent sampling sites in an intestinal tissue segment showed low variability. The results from the ileum indicate that organoids have potential to study intestinal innate immune processes.

molecular biology↗

bioRxiv2019

Congruence of location-specific transcriptional programs in intestinal organoids during long-term culture

The emergence of intestinal organoids, as a stem cell-based self-renewable model system, has led to many studies on intestinal development and cell-cell signaling. However, potential issues regarding the phenotypic stability and reproducibility of the methodology during culture still needs to be addressed for different organoids. Here we investigated the transcriptomes of intestinal organoids derived from the same pig as well as batch-to-batch variation of organoids derived from different pigs over long-term passage. The set of genes expressed in organoids closely resembled that of the tissue of origin, including location specific functions, for at least 17 passages. Minor differences in gene expression were observed between individual organoid cultures. In contrast, most tissue-specific genes were not expressed in the transformed jejunum cell line IPECJ2, which also showed gene expression consistent with cancer phenotypes. We conclude that intestinal organoids provide a robust and stable model for translational research with clear advantages over transformed cells.

cell biology↗