↓ Skip to main content

PLOS

High-Resolution Analysis of Cytosine Methylation in Ancient DNA

Overview of attention for article published in PLOS ONE, January 2012
Altmetric Badge

Mentioned by

news
2 news outlets
blogs
4 blogs
policy
1 policy source
twitter
16 X users

Citations

dimensions_citation
76 Dimensions

Readers on

mendeley
166 Mendeley
citeulike
2 CiteULike
Title
High-Resolution Analysis of Cytosine Methylation in Ancient DNA
Published in
PLOS ONE, January 2012
DOI 10.1371/journal.pone.0030226
Pubmed ID
Authors

Bastien Llamas, Michelle L. Holland, Kefei Chen, Jennifer E. Cropley, Alan Cooper, Catherine M. Suter

Abstract

Epigenetic changes to gene expression can result in heritable phenotypic characteristics that are not encoded in the DNA itself, but rather by biochemical modifications to the DNA or associated chromatin proteins. Interposed between genes and environment, these epigenetic modifications can be influenced by environmental factors to affect phenotype for multiple generations. This raises the possibility that epigenetic states provide a substrate for natural selection, with the potential to participate in the rapid adaptation of species to changes in environment. Any direct test of this hypothesis would require the ability to measure epigenetic states over evolutionary timescales. Here we describe the first single-base resolution of cytosine methylation patterns in an ancient mammalian genome, by bisulphite allelic sequencing of loci from late Pleistocene Bison priscus remains. Retrotransposons and the differentially methylated regions of imprinted loci displayed methylation patterns identical to those derived from fresh bovine tissue, indicating that methylation patterns are preserved in the ancient DNA. Our findings establish the biochemical stability of methylated cytosines over extensive time frames, and provide the first direct evidence that cytosine methylation patterns are retained in DNA from ancient specimens. The ability to resolve cytosine methylation in ancient DNA provides a powerful means to study the role of epigenetics in evolution.

X Demographics

X Demographics

The data shown below were collected from the profiles of 16 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 166 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 4 2%
United States 4 2%
Germany 2 1%
United Kingdom 2 1%
Indonesia 1 <1%
Pakistan 1 <1%
Switzerland 1 <1%
Hong Kong 1 <1%
Croatia 1 <1%
Other 0 0%
Unknown 149 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 39 23%
Researcher 36 22%
Student > Master 17 10%
Student > Bachelor 12 7%
Student > Doctoral Student 10 6%
Other 31 19%
Unknown 21 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 72 43%
Biochemistry, Genetics and Molecular Biology 38 23%
Social Sciences 12 7%
Medicine and Dentistry 5 3%
Neuroscience 4 2%
Other 12 7%
Unknown 23 14%