Reconstructing DNA methylation maps of ancient populations.


Journal

Nucleic acids research
ISSN: 1362-4962
Titre abrégé: Nucleic Acids Res
Pays: England
ID NLM: 0411011

Informations de publication

Date de publication:
23 Jan 2024
Historique:
accepted: 19 01 2024
revised: 09 12 2023
received: 11 01 2023
medline: 23 1 2024
pubmed: 23 1 2024
entrez: 23 1 2024
Statut: aheadofprint

Résumé

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.

Identifiants

pubmed: 38261973
pii: 7585666
doi: 10.1093/nar/gkad1232
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : Israel Science Foundation
ID : 2436/22
Organisme : John Templeton Foundation
ID : 61739
Organisme : Israel Ministry of Innovation, Science & Technology
ID : 1001584586

Informations de copyright

© The Author(s) 2024. Published by Oxford University Press on behalf of Nucleic Acids Research.

Auteurs

Arielle Barouch (A)

Department of Genetics, The Alexander Silberman Institute of Life Sciences, The Hebrew University of Jerusalem, Jerusalem 9190401, Israel.
School of Computer Science and Engineering, The Hebrew University of Jerusalem, Jerusalem 9190401, Israel.

Yoav Mathov (Y)

Department of Genetics, The Alexander Silberman Institute of Life Sciences, The Hebrew University of Jerusalem, Jerusalem 9190401, Israel.
Edmond and Lily Safra Center for Brain Sciences (ELSC), The Hebrew University of Jerusalem, Jerusalem 9190401, Israel.

Eran Meshorer (E)

Department of Genetics, The Alexander Silberman Institute of Life Sciences, The Hebrew University of Jerusalem, Jerusalem 9190401, Israel.
Edmond and Lily Safra Center for Brain Sciences (ELSC), The Hebrew University of Jerusalem, Jerusalem 9190401, Israel.

Benjamin Yakir (B)

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

Liran Carmel (L)

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

Classifications MeSH