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Updated: Oct 11, 2025

Transcriptome Profiling of In-Vivo Produced Bovine Pre-implantation Embryos Using Two-color Microarray Platform

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An Epigenetic Aging Clock for Cattle Using Portable Sequencing Technology.

Ben J Hayes¹, Loan T Nguyen¹, Mehrnush Forutan¹

¹Centre for Animal Science, Queensland Alliance for Agriculture and Food Innovation, University of Queensland, St Lucia, QLD, Australia.

Frontiers in Genetics

|December 6, 2021

Summary

This summary is machine-generated.

Researchers developed the first cattle epigenetic clock using DNA methylation from tail hair. This tool accurately predicts animal age, aiding livestock management and genetic trait analysis.

Keywords:

DNA methylation age prediction cattle epigenetic clock long-read sequencing

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Area of Science:

Animal Genomics
Epigenetics
Livestock Management

Background:

Accurate cattle birthdates are crucial for trait analysis, breed registration, and management decisions.
Current cattle muster schedules often lead to unknown or inaccurate birthdates.
Epigenetic clocks, based on DNA methylation, offer a potential solution for age prediction.

Purpose of the Study:

To develop the first epigenetic clock for tropically adapted cattle.
To assess the accuracy of age prediction using DNA methylation in cattle tail hair.
To provide a tool for improved livestock management and genetic evaluations.

Main Methods:

Sequencing of cattle tail hair DNA using Oxford Nanopore Technologies MinION.
Calling CpG methylation sites and calculating methylation state-based covariance matrices.
Utilizing best linear unbiased prediction with 10-fold cross-validation to predict age.

Main Results:

Achieved a 0.71 correlation between predicted and actual age using all CpG sites.
Observed a 0.60 correlation when using sites associated with known human and dog epigenetic clock genes.
Demonstrated a mean absolute deviation of 1.4-1.5 years in age prediction across different age groups.

Conclusions:

The developed epigenetic clock is the first reported for cattle using industry-relevant samples.
This technology can accurately estimate cattle age, addressing challenges in birthdate recording.
The tool has significant implications for livestock management, genetic trait derivation, and breed registrations.