scispace - formally typeset
C

Charleen Gaunitz

Researcher at University of Copenhagen

Publications -  12
Citations -  898

Charleen Gaunitz is an academic researcher from University of Copenhagen. The author has contributed to research in topics: Ancient DNA & Domestication. The author has an hindex of 7, co-authored 8 publications receiving 621 citations. Previous affiliations of Charleen Gaunitz include American Museum of Natural History.

Papers
More filters
Journal ArticleDOI

Ancient genomes revisit the ancestry of domestic and Przewalski’s horses

Charleen Gaunitz, +58 more
- 06 Apr 2018 - 
TL;DR: Data indicate that Przewalski’s horses are the feral descendants of horses herded at Botai and not truly wild horses, which indicates that a massive genomic turnover underpins the expansion of the horse stock that gave rise to modern domesticates, which coincides with large-scale human population expansions during the Early Bronze Age.
Journal ArticleDOI

Tracking Five Millennia of Horse Management with Extensive Ancient Genome Time Series

Antoine Fages, +135 more
- 30 May 2019 - 
TL;DR: This extensive dataset allows us to assess the modern legacy of past equestrian civilizations and finds that two extinct horse lineages existed during early domestication, and the development of modern breeding impacted genetic diversity more dramatically than the previous millennia of human management.
Journal ArticleDOI

Ancient genomic changes associated with domestication of the horse

TL;DR: Early domestication selection patterns supporting the neural crest hypothesis are found, which provides a unified developmental origin for common domestic traits and reveals that Iron Age Scythian steppe nomads implemented breeding strategies involving no detectable inbreeding and selection for coat-color variation and robust forelimbs.
Journal ArticleDOI

Comparing the performance of three ancient DNA extraction methods for high-throughput sequencing.

TL;DR: It is shown that methods based on the purification of DNA fragments using silica columns are more advantageous than in solution methods and provide a cost‐effective solution for downstream applications, including DNA sequencing on HTS platforms.