Reconstructing DNA methylation maps of ancient populations

Author:

Barouch Arielle12,Mathov Yoav13,Meshorer Eran13ORCID,Yakir Benjamin4,Carmel Liran1ORCID

Affiliation:

1. Department of Genetics, The Alexander Silberman Institute of Life Sciences, The Hebrew University of Jerusalem , Jerusalem  9190401 , Israel

2. School of Computer Science and Engineering, The Hebrew University of Jerusalem , Jerusalem  9190401 , Israel

3. Edmond and Lily Safra Center for Brain Sciences (ELSC), The Hebrew University of Jerusalem , Jerusalem  9190401 , Israel

4. Department of Statistics and Data Science, The Hebrew University of Jerusalem , Jerusalem  9190500 , Israel

Abstract

Abstract Studying premortem DNA methylation from ancient DNA (aDNA) provides a proxy for ancient gene activity patterns, and hence valuable information on evolutionary changes in gene regulation. Due to statistical limitations, current methods to reconstruct aDNA methylation maps are constrained to high-coverage shotgun samples, which comprise a small minority of available ancient samples. Most samples are sequenced using in-situ hybridization capture sequencing which targets a predefined set of genomic positions. Here, we develop methods to reconstruct aDNA methylation maps of samples that were not sequenced using high-coverage shotgun sequencing, by way of pooling together individuals to obtain a DNA methylation map that is characteristic of a population. We show that the resulting DNA methylation maps capture meaningful biological information and allow for the detection of differential methylation across populations. We offer guidelines on how to carry out comparative studies involving ancient populations, and how to control the rate of falsely discovered differentially methylated regions. The ability to reconstruct DNA methylation maps of past populations allows for the development of a whole new frontier in paleoepigenetic research, tracing DNA methylation changes throughout human history, using data from thousands of ancient samples.

Funder

Israel Science Foundation

John Templeton Foundation

Israel Ministry of Innovation, Science & Technology

Publisher

Oxford University Press (OUP)

Subject

Genetics

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