% pubman genre = article
@article{item_3358440,
title = {{Optimized bone sampling protocols for the retrieval of ancient DNA from archaeological remains}},
author = {Parker, Cody Edward and Bos, Kirsten I. and Haak, Wolfgang and Krause, Johannes},
language = {eng},
issn = {1940-087X},
doi = {10.3791/63250},
publisher = {JoVE},
address = {Rockville Pike, Bethesda MD},
year = {2021},
abstract = {{The methods presented here seek to maximize the chances for the recovery of human DNA from ancient archaeological remains while limiting input sample material. This was done by targeting anatomical sampling locations previously determined to yield the highest amounts of ancient DNA (aDNA) in a comparative analysis of DNA recovery across the skeleton. Prior research has suggested that these protocols maximize the chances for the successful recovery of ancient human and pathogen DNA from archaeological remains. DNA yields were previously assessed by Parker et al. 2020 in a broad survey of aDNA preservation across multiple skeletal elements from 11 individuals recovered from the medieval (radiocarbon dated to a period of circa (ca.) 1040-1400 CE, calibrated 2-sigma range) graveyard at Krakauer Berg, an abandoned medieval settlement near Pei{\ss}en Germany. These eight sampling spots, which span five skeletal elements (pars petrosa, permanent molars, thoracic vertebra, distal phalanx, and talus) successfully yielded high-quality ancient human DNA, where yields were significantly greater than the overall average across all elements and individuals. Yields were adequate for use in most common downstream population genetic analyses. Our results support the preferential use of these anatomical sampling locations for most studies involving the analyses of ancient human DNA from archaeological remains. Implementation of these methods will help to minimize the destruction of precious archaeological specimens.}},
contents = {Introduction Protocol 1. Considerations before sample processing 2. Pretreatment 3. Bone powder generation Representative Results Discussion},
journal = {{Journal of Visualized Experiments}},
volume = {177},
eid = {e63250},
}