scholarly journals From the field to the laboratory: Controlling DNA contamination in human ancient DNA research in the high-throughput sequencing era

2016 ◽  
Vol 3 (1) ◽  
pp. 1-14 ◽  
Author(s):  
Bastien Llamas ◽  
Guido Valverde ◽  
Lars Fehren-Schmitz ◽  
Laura S Weyrich ◽  
Alan Cooper ◽  
...  
Gene ◽  
2013 ◽  
Vol 528 (2) ◽  
pp. 347-351 ◽  
Author(s):  
Makio Kihana ◽  
Fuzuki Mizuno ◽  
Rikai Sawafuji ◽  
Li Wang ◽  
Shintaroh Ueda

BioTechniques ◽  
2015 ◽  
Vol 59 (1) ◽  
Author(s):  
Nathalie Mouttham ◽  
Jennifer Klunk ◽  
Melanie Kuch ◽  
Ron Fourney ◽  
Hendrik Poinar

2015 ◽  
Vol 16 (2) ◽  
pp. 459-469 ◽  
Author(s):  
Cristina Gamba ◽  
Kristian Hanghøj ◽  
Charleen Gaunitz ◽  
Ahmed H. Alfarhan ◽  
Saleh A. Alquraishi ◽  
...  

2020 ◽  
Author(s):  
Tatiana R. Feuerborn ◽  
Elle Palkopoulou ◽  
Tom van der Valk ◽  
Johanna von Seth ◽  
Arielle R. Munters ◽  
...  

AbstractBackgroundAfter over a decade of developments in field collection, laboratory methods and advances in high-throughput sequencing, contamination remains a key issue in ancient DNA research. Currently, human and microbial contaminant DNA still impose challenges on cost-effective sequencing and accurate interpretation of ancient DNA data.ResultsHere we investigate whether human contaminating DNA can be found in ancient faunal sequencing datasets. We identify variable levels of human contamination, which persists even after the sequence reads have been mapped to the faunal reference genomes. This contamination has the potential to affect a range of downstream analyses.ConclusionsWe propose a fast and simple method, based on competitive mapping, which allows identifying and removing human contamination from ancient faunal DNA datasets with limited losses of true ancient data. This method could represent an important tool for the ancient DNA field.


BMC Genomics ◽  
2020 ◽  
Vol 21 (1) ◽  
Author(s):  
Tatiana R. Feuerborn ◽  
Eleftheria Palkopoulou ◽  
Tom van der Valk ◽  
Johanna von Seth ◽  
Arielle R. Munters ◽  
...  

Abstract Background After over a decade of developments in field collection, laboratory methods and advances in high-throughput sequencing, contamination remains a key issue in ancient DNA research. Currently, human and microbial contaminant DNA still impose challenges on cost-effective sequencing and accurate interpretation of ancient DNA data. Results Here we investigate whether human contaminating DNA can be found in ancient faunal sequencing datasets. We identify variable levels of human contamination, which persists even after the sequence reads have been mapped to the faunal reference genomes. This contamination has the potential to affect a range of downstream analyses. Conclusions We propose a fast and simple method, based on competitive mapping, which allows identifying and removing human contamination from ancient faunal DNA datasets with limited losses of true ancient data. This method could represent an important tool for the ancient DNA field.


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