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Analysis of Chromosome Segregation, Histone Acetylation, and Spindle Morphology in Horse Oocytes
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DNA methylation aging and transcriptomic studies in horses.

Steve Horvath1,2, Amin Haghani3, Sichong Peng4

  • 1Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA. shorvath@mednet.ucla.edu.

Nature Communications
|January 11, 2022
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Summary
This summary is machine-generated.

This study profiles horse DNA methylation across 42 tissues, developing epigenetic aging clocks for horses and other equids. Horse aging rates are unaffected by castration, and methylation impacts gene expression.

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Area of Science:

  • Epigenetics
  • Comparative Genomics
  • Mammalian Biology

Background:

  • Cytosine methylation patterns in horses remain underexplored.
  • Understanding epigenetic variation is crucial for aging research.

Purpose of the Study:

  • To profile DNA methylation across diverse horse tissues.
  • To develop epigenetic clocks for horses and related equid species.
  • To investigate the relationship between methylation and gene expression in horses.

Main Methods:

  • Utilized the HorvathMammalMethylChip40 array for methylation profiling.
  • Analyzed 333 samples from 42 horse tissue types.
  • Developed multiple epigenetic clocks using blood and liver tissues, including cross-species clocks for equids and humans.

Main Results:

  • Generated a comprehensive methylation atlas for 42 horse tissues.
  • Successfully developed five epigenetic aging clocks for horses and two dual-species clocks for horses and humans.
  • Created an additional clock applicable across all equid species.
  • Found that castration does not significantly alter epigenetic aging rates in horse blood or liver.
  • Established correlations between DNA methylation and RNA expression across horse tissues.

Conclusions:

  • The developed epigenetic clocks provide valuable tools for aging research in horses and equids.
  • The methylation atlas serves as a foundational resource for equine epigenetics.
  • Methylation patterns significantly influence gene expression in horses.