# Epigenetic Regulation of Production Traits in Ruminants: Implications for Breeding and Selection

**Authors:** Huaijing Liu, Mewangling Qumu, Ying Lu, Keyu Li, Yuwei Qian, Zhengmei Sheng, Jinpeng Shi, Dongmei Xi, Jiao Wu

PMC · DOI: 10.3390/biology15050416 · 2026-03-03

## TL;DR

This review explores how epigenetic mechanisms influence key traits in ruminants and how they can improve breeding strategies.

## Contribution

The paper highlights the potential of epigenetic markers to enhance genomic selection for environmentally sensitive traits in ruminants.

## Key findings

- Epigenetic mechanisms like DNA methylation and non-coding RNAs regulate growth, reproduction, and health traits in ruminants.
- Epigenetic marks respond to environmental factors and can serve as predictive biomarkers for phenotypic variation.
- Integrating epigenetic data with genomic selection may improve trait prediction accuracy and sustainability in ruminant breeding.

## Abstract

Ruminant production depends on complex traits such as growth, fertility, health, and product quality, which are shaped by both genetic background and environmental conditions. Epigenetic regulation links environmental signals to gene activity without altering DNA sequences, thereby influencing trait development. This review summarizes recent advances in epigenetic studies in ruminants and discusses how DNA methylation, histone modifications, non-coding RNAs, and chromatin organization contribute to phenotypic variation. We also evaluate the potential for epigenetic markers to be complementary tools to genomic selection, particularly for traits with low heritability or strong environmental sensitivity. Integrating epigenetic information may support more precise and sustainable breeding strategies in ruminant production.

The important economic traits of ruminants result from interactions between genetic background and environmental factors, but key traits such as reproductive performance, feed efficiency, disease resistance, and livestock product quality are often not fully explained by DNA sequence variations alone. Increasing evidence suggests that epigenetic regulation serves as a crucial molecular bridge connecting environmental stimuli with changes in gene expression, allowing organisms to exhibit stable and plastic phenotypic differences without altering the DNA sequence. This review provides a structured synthesis of recent research in the field of epigenetics in ruminants, elucidating how multiple layers of epigenetic mechanisms, including DNA methylation, histone modifications, non-coding RNAs, and higher-order chromatin structures, coordinate to regulate growth, development, reproductive performance, metabolic and immune homeostasis, and livestock product traits across different tissues and developmental stages. These epigenetic marks not only demonstrate high responsiveness to nutrition, management, and environmental stressors, but can exhibit context-dependent stability within the same tissue and physiological stage when environmental conditions are comparable, thereby contributing to the regulation of phenotypic plasticity and offering potential value as predictive biomarkers. Furthermore, epigenetic information can supplement our understanding of phenotypic variation in ways that traditional genomic selection methods are unable to capture, offering new data dimensions for the prediction and improvement of low heritability, environmentally sensitive traits. Overall, integrating epigenetic information with genomic selection strategies may improve the accuracy of ruminant trait prediction and enhance environmental adaptability. This integration also offers a conceptual basis and technical pathway for developing more precise and sustainable breeding systems.

## Full-text entities

- **Genes:** EDN1 (endothelin 1) [NCBI Gene 281137], PNPLA2 (patatin like phospholipase domain containing 2) [NCBI Gene 508493] {aka ATGL}, ACSM1 (acyl-CoA synthetase medium chain family member 1) [NCBI Gene 282576] {aka BUCS1}, CSN2 (casein beta) [NCBI Gene 281099], IL1B (interleukin 1 beta) [NCBI Gene 281251], POU5F1 (POU class 5 homeobox 1) [NCBI Gene 282316] {aka OCT3, OCT4, OTF-3, oct-3, oct-4}, FAT1 (FAT atypical cadherin 1) [NCBI Gene 508251] {aka FAT}, SCD (stearoyl-CoA desaturase) [NCBI Gene 280924] {aka SCD1}, DNMT3B (DNA methyltransferase 3 beta) [NCBI Gene 353354], MIR202 (microRNA mir-202) [NCBI Gene 100313471] {aka bta-mir-202}, LOC517016 (interleukin 6 (interferon, beta 2)) [NCBI Gene 517016] {aka IF1DA6}, MIR200B (microRNA mir-200b) [NCBI Gene 791054] {aka MIRN200B, bta-mir-200b, mir-200b}, PBRM1 (polybromo 1) [NCBI Gene 506557] {aka PB1}, EIF5 (eukaryotic translation initiation factor 5) [NCBI Gene 504752], FOS (Fos proto-oncogene, AP-1 transcription factor subunit) [NCBI Gene 280795], RGMB (repulsive guidance molecule BMP co-receptor b) [NCBI Gene 540954], GDF9 (growth differentiation factor 9) [NCBI Gene 282574], DNLZ (DNL-type zinc finger) [NCBI Gene 100848156], PIWIL1 (piwi like RNA-mediated gene silencing 1) [NCBI Gene 537833], FZD4 (frizzled class receptor 4) [NCBI Gene 445416], CCN1 (cellular communication network factor 1) [NCBI Gene 508941] {aka CYR61, GIG1}, PIWIL2 (piwi like RNA-mediated gene silencing 2) [NCBI Gene 537068], MIR34B (microRNA mir-34b) [NCBI Gene 791003] {aka MIRN34B, bta-mir-34b}, RAI14 (retinoic acid induced 14) [NCBI Gene 525869], CSN1S1 (casein alpha s1) [NCBI Gene 282208] {aka CSN1}, H2B (histone H2B-like) [NCBI Gene 519934], MEG3 (maternally expressed 3 (non-protein coding)) [NCBI Gene 100335527] {aka Glt2, Gtl2}, TNF (tumor necrosis factor) [NCBI Gene 280943] {aka TNF-a, TNF-alpha, TNFa}, LAMC2 (laminin subunit gamma 2) [NCBI Gene 511043], JUNB (JunB proto-oncogene, AP-1 transcription factor subunit) [NCBI Gene 514246], CTCF [NCBI Gene 101114297], DNMT3A (DNA methyltransferase 3 alpha) [NCBI Gene 359716], FOXO1 (forkhead box O1) [NCBI Gene 506618] {aka FOXO1A}, RORB (RAR related orphan receptor B) [NCBI Gene 528382], NEDD4L (NEDD4 like E3 ubiquitin protein ligase) [NCBI Gene 510003] {aka NEDD4}, CPT1A (carnitine palmitoyltransferase 1A) [NCBI Gene 506812], CTCF (CCCTC-binding factor) [NCBI Gene 517097], TRAK1 (trafficking kinesin protein 1) [NCBI Gene 531649], HOXA6 (homeobox A6) [NCBI Gene 100848736], GHR (growth hormone receptor) [NCBI Gene 280805], MIR26B (microRNA mir-26b) [NCBI Gene 790985] {aka MIRN26B, bta-mir-26b, mir-26b}, LOC521746 (myotubularin related protein 9-like) [NCBI Gene 521746] {aka MTMR9, MTMR9L}, PEG3 (paternally expressed 3) [NCBI Gene 444864], SCN3B (sodium voltage-gated channel beta subunit 3) [NCBI Gene 540925], MGAT2 (alpha-1,6-mannosyl-glycoprotein 2-beta-N-acetylglucosaminyltransferase) [NCBI Gene 101906103], TDG (thymine DNA glycosylase) [NCBI Gene 517825], PIK3CA (phosphatidylinositol-4,5-bisphosphate 3-kinase catalytic subunit alpha) [NCBI Gene 282306], NR1D1 (nuclear receptor subfamily 1 group D member 1) [NCBI Gene 768225], MYOZ3 (myozenin 3) [NCBI Gene 613741], SOX2 (SRY-box transcription factor 2) [NCBI Gene 784383], MAT2B (methionine adenosyltransferase 2B) [NCBI Gene 614177], AKT1 (AKT serine/threonine kinase 1) [NCBI Gene 280991] {aka AKT}, MTOR (mechanistic target of rapamycin kinase) [NCBI Gene 100139219], CEBPA (CCAAT enhancer binding protein alpha) [NCBI Gene 281677], PPARG (peroxisome proliferator activated receptor gamma) [NCBI Gene 281993], CNOT2 (CCR4-NOT transcription complex subunit 2) [NCBI Gene 533945], MIR148A (microRNA mir-148a) [NCBI Gene 790977] {aka MIRN148A, bta-mir-148a, mir-148a}, SREBF1 (sterol regulatory element binding transcription factor 1) [NCBI Gene 539361] {aka ADD1, SREBP-1, SREBP1}, IGF2 (insulin like growth factor 2) [NCBI Gene 281240], NFATC4 (nuclear factor of activated T cells 4) [NCBI Gene 788119]
- **Diseases:** hypoxic (MESH:D002534), infectious diseases (MESH:D003141), metabolic disturbance (MESH:D024821), inflammation (MESH:D007249), mastitis (MESH:D008413), MAP (MESH:D010283), inflammatory cytokines (MESH:D000080424), injury to (MESH:D014947), tuberculosis (MESH:D014376)
- **Chemicals:** choline (MESH:D002794), vitamin B12 (MESH:D014805), VC (MESH:C098534), Vitamin C (MESH:D001205), ATP (MESH:D000255), Vitamin D (MESH:D014807), S-adenosylmethionine (MESH:D012436), Na (MESH:D012964), PUFAs (MESH:D005231), Docosahexaenoic acid (MESH:D004281), Vitamin B9 (MESH:D005492), 5-hydroxymethylcytosine (MESH:C011865), 5-methylcytosine (MESH:D044503), DHA (MESH:C027493), LTA (MESH:D017572), K (MESH:D011188), CoQ10 (MESH:C024989), lipid (MESH:D008055), calcium (MESH:D002118), BIANCR (-), 5-formylcytosine (MESH:C560973), methionine (MESH:D008715), SFAs (MESH:D005227), 5-carboxylcytosine (MESH:C560974), Vitamin A (MESH:D014801)
- **Species:** Capra hircus (domestic goat, species) [taxon 9925], Homo sapiens (human, species) [taxon 9606], Ovis aries (domestic sheep, species) [taxon 9940], Bos taurus (bovine, species) [taxon 9913], Mus musculus (house mouse, species) [taxon 10090], Staphylococcus aureus (species) [taxon 1280]

## Figures

3 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12984340/full.md

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Source: https://tomesphere.com/paper/PMC12984340