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Related Experiment Video

Updated: Jul 19, 2025

Enhanced Reduced Representation Bisulfite Sequencing for Assessment of DNA Methylation at Base Pair Resolution
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DNA methylation networks underlying mammalian traits.

Amin Haghani1,2, Caesar Z Li3,4, Todd R Robeck5

  • 1Department of Human Genetics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA.

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This study reveals that DNA methylation patterns in mammals mirror traditional evolutionary trees. These epigenetic patterns link to key traits like lifespan and weight, showing intertwined genome and epigenome evolution.

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Area of Science:

  • Genomics and Evolutionary Biology
  • Epigenetics
  • Mammalian Biology

Background:

  • Traditional phylogenetics relies on genomic sequences.
  • Epigenetic modifications, like DNA methylation, also play a role in biological traits and evolution.
  • Understanding the interplay between genome and epigenome evolution is crucial for deciphering mammalian diversity.

Purpose of the Study:

  • To construct phyloepigenetic trees using DNA methylation profiles from a large mammalian dataset.
  • To identify epigenetic modules associated with specific mammalian traits.
  • To investigate the evolutionary relationship between the genome and epigenome in mammals.

Main Methods:

  • Utilized DNA methylation profiles (n = 15,456) from 348 mammalian species.
  • Constructed phyloepigenetic trees based on methylation data.
  • Employed unsupervised clustering to identify distinct cytosine methylation modules.
  • Correlated methylation modules with various biological traits and responses to perturbations.

Main Results:

  • Phyloepigenetic trees showed strong similarities to traditional phylogenetic trees.
  • Identified 55 distinct cytosine methylation modules, with 30 linked to traits like maximum lifespan, adult weight, age, sex, and human mortality risk.
  • Maximum lifespan was associated with methylation in HOXL homeobox genes and developmental processes, potentially regulated by pluripotency factors.
  • Observed that methylation states respond to environmental and experimental perturbations (e.g., caloric restriction, diet, Yamanaka factors).

Conclusions:

  • DNA methylation patterns provide a robust framework for understanding mammalian evolutionary relationships.
  • Epigenetic modifications are significantly associated with key mammalian biological characteristics and traits.
  • Demonstrated an intertwined evolution of the genome and epigenome, highlighting their co-evolutionary role in shaping mammalian diversity and function.