ArticleEpigenetics2024
Decoding epigenetic markers: implications of traits and genes through DNA methylation in resilience and susceptibility to mastitis in dairy cows.
Article in Epigenetics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Reconstructing bovine disease trajectories through integrative multi-omics: molecular decision nodes, predictive biomarkers and precision intervention.Veterinary research communications · 2026Review
- Genome-wide association study reveals key genomic regions underlying colostrability in Italian Holstein cattle.Genetics, selection, evolution : GSE · 2026Article
- Epigenetic and Epitranscriptomic Regulation of Mastitis in Dairy Cattle: A Review.Veterinary sciences · 2026Review
- Integrated methylome-transcriptome profiling reveals epigenetic regulation of immune activation pathways and CSN3-associated lactation repression in bovine subclinical mastitis.Journal of animal science and biotechnology · 2026Article
- Bovine EpiMap explorer: an interactive web application for genome-wide DNA methylation analysis in dairy cattle.BMC bioinformatics · 2026Article
- Epigenetic Regulation of Production Traits in Ruminants: Implications for Breeding and Selection.Biology · 2026Review
- Changes in nuclear and mitochondrial DNA methylation in cow blood associated with age and disease.Epigenetics · 2025Article
- Article
- RnaXtract, a tool for extracting gene expression, variants, and cell-type composition from bulk RNA sequencing.Scientific reports · 2025Article
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Authors and funding
8 authors.
Funding
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Abstract
Cattle farming faces challenges linked to intensive exploitation and climate change, requiring the reinforcement of animal resilience in response to these dynamic environments. Currently, genetic selection is used to enhance resilience by identifying animals resistant to specific diseases; however, certain diseases, such as mastitis, pose difficulties in genetic prediction. This study introduced the utilization of enzymatic methyl sequencing (EM-seq) of the blood genomic DNA from twelve dairy cows to identify DNA methylation biomarkers, with the aim of predicting resilience and susceptibility to mastitis. The analysis uncovered significant differences between cows resilient and susceptible to mastitis, with 196,275 differentially methylated cytosines (DMCs) and 1,227 Differentially Methylated Regions (DMRs). Key genes associated with the immune response and morphological traits, including ENOPH1, MYL10 and KIR2DL5A, were identified by our analysis. Quantitative trait loci (QTL) were also highlighted and the body weight trait was the most targeted by DMCs and DMRs. Based on our results, the risk of developing mastitis can potentially be estimated with as few as fifty methylation biomarkers, paving the way for early animal selection. This research sets the stage for improved animal health management and economic yields within the framework of agricultural sustainability through early selection based on the epigenetic status of animals.
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