Imputation of ancient canid genomes reveals inbreeding history over the past 10,000 years

K Katia Bougiouri S Sabhrina Gita Aninta (School of Biological and Behavioural Sciences, Queen Mary University of London) S Sophy Charlton A Alexander C. Harris (Cancer Genetics and Comparative Genomics Branch, National Human Genome Research Institute, National Institutes of Health) M Martin Petr (Section for Molecular Ecology and Evolution, Globe Institute, University of Copenhagen) A Alberto Carmagnini G Giedrė Piličiauskienė (Department of Archeology, Faculty of History, Vilnius University) T Tatiana R. Feuerborn L Lachie Scarsbrook K Kristina Tabbada P Povilas Blaževičius (Department of Archeology, Faculty of History, Vilnius University) H Heidi G. Parker (Cancer Genetics and Comparative Genomics Branch, National Human Genome Research Institute, National Institutes of Health) S Shyam Gopalakrishnan (Center for Evolutionary Hologenomics, Globe Institute, University of Copenhagen) G Greger Larson E Elaine A. Ostrander (Cancer Genetics and Comparative Genomics Branch, National Human Genome Research Institute, National Institutes of Health) E Evan K. Irving-Pease L Laurent A. F. Frantz F Fernando Racimo

Abstract

The multi-millennia-long history between dogs and humans has placed them at the forefront of archaeological and genomic research. Despite ongoing efforts including the analysis of ancient dog and wolf genomes, many questions remain regarding the evolutionary processes that led to the diversity of breeds today. Although ancient genome sequences provide valuable information about these processes, their utility is hindered by low depths of coverage and postmortem damage, which inhibits confident genotype calling. In the present study, we assess how genotype imputation of ancient dog and wolf genomes, using a large reference panel, can increase the amount of information provided by ancient datasets. We evaluated imputation accuracy by down-sampling high-coverage dog and wolf genomes to 0.05 to 2× coverage and compared concordance between imputed and high-coverage genotypes. We measured the impact of imputation on principal component analyses and runs of homozygosity (ROH). Our findings show high (R 2 > 0.9) imputation accuracy for dogs with coverage as low as 0.5× and for wolves as low as 1.0×. We then imputed a dataset of 90 ancient dog and wolf genomes to assess changes in inbreeding during the last 10,000 y of dog evolution. Ancient dog and wolf populations generally exhibit lower inbreeding levels than present-day individuals. Regions with low ROH density maintained across ancient and present-day dogs were significantly associated with genes related to immunity and chemosensory receptors. Our study indicates that imputing ancient canine genomes is a viable strategy that allows for the use of analytical methods previously limited to high-quality genetic data.

Article Details

Volume / Issue Vol. 122, Issue 48
Published December 02, 2025
ISSN 0027-8424
Publisher National Academy of Sciences

Authors (18)

K

Katia Bougiouri

S

Sabhrina Gita Aninta

School of Biological and Behavioural Sciences, Queen Mary University of London

S

Sophy Charlton

A

Alexander C. Harris

Cancer Genetics and Comparative Genomics Branch, National Human Genome Research Institute, National Institutes of Health

M

Martin Petr

Section for Molecular Ecology and Evolution, Globe Institute, University of Copenhagen

A

Alberto Carmagnini

G

Giedrė Piličiauskienė

Department of Archeology, Faculty of History, Vilnius University

T

Tatiana R. Feuerborn

L

Lachie Scarsbrook

K

Kristina Tabbada

P

Povilas Blaževičius

Department of Archeology, Faculty of History, Vilnius University

H

Heidi G. Parker

Cancer Genetics and Comparative Genomics Branch, National Human Genome Research Institute, National Institutes of Health

S

Shyam Gopalakrishnan

Center for Evolutionary Hologenomics, Globe Institute, University of Copenhagen

G

Greger Larson

E

Elaine A. Ostrander

Cancer Genetics and Comparative Genomics Branch, National Human Genome Research Institute, National Institutes of Health

E

Evan K. Irving-Pease

L

Laurent A. F. Frantz

F

Fernando Racimo