English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
Add to Basket
 Local TagsRelease HistoryDetailsSummary
  Present-Day DNA Contamination in Ancient DNA Datasets

Peyrégne, S., & Prüfer, K. (2020). Present-Day DNA Contamination in Ancient DNA Datasets. Bioessays, 42(9): 2000081. doi:10.1002/bies.202000081.

Item is

 

show all hide all

Basic

show hide
Item Permalink: https://hdl.handle.net/21.11116/0000-0006-BBDC-0 Version Permalink: https://hdl.handle.net/21.11116/0000-0007-B98E-9
Genre: Journal Article

Files

show Files
hide Files
:
shh2660.pdf (Publisher version), 2MB
View   Save
File Permalink:
https://hdl.handle.net/21.11116/0000-0006-BBDE-E
Name:
shh2660.pdf
Description:
OA
OA-Status:
Visibility:
Public
MIME-Type / Checksum:
application/pdf / [MD5]
Technical Metadata:
View
Copyright Date:
-
Copyright Info:
-
License:
http://creativecommons.org/licenses/by/4.0/

Locators

show

Creators

show
hide
 Creators:
Peyrégne, Stéphane, Author           
Prüfer, Kay1, Author           
Affiliations:
1Archaeogenetics, Max Planck Institute for the Science of Human History, Max Planck Society, ou_2074310              

Content

show
hide
Free keywords: ancient DNA, contamination, paleogenomics
 Abstract: Abstract Present-day contamination can lead to false conclusions in ancient DNA studies. A number of methods are available to estimate contamination, which use a variety of signals and are appropriate for different types of data. Here an overview of currently available methods highlighting their strengths and weaknesses is provided, and a classification based on the signals used to estimate contamination is proposed. This overview aims at enabling researchers to choose the most appropriate methods for their dataset. Based on this classification, potential avenues for the further development of methods are discussed.

Details

show
hide
Language(s): eng - English
 Dates: 2020-07-102020-09
 Publication Status: Issued
 Pages: 11
 Publishing info: -
 Table of Contents: 1. Introduction

2. Classification of Signals Used to Estimate Contamination
2.1. Differences in the DNA Sequence
2.2. Deviation from the Expected Ploidy
2.3. Ancient DNA Degradation Patterns

3. Methods to Estimate Contamination
3.1. Mitochondrial DNA
3.1.1. Methods Based on Differences in the DNA Sequence
3.1.2. Methods Based on Deviations from the Expected Ploidy
3.2. Sex Chromosomes
3.2.1. Methods Based on Differences in the DNA Sequence
3.2.2. Methods Based on Deviations from the Expected Ploidy
3.3. Autosomal DNA
3.3.1. Methods Based on Differences in the DNA Sequence
3.3.2. Methods Based on Deviations from the Expected Ploidy
3.3.3. Methods Based on Patterns of Ancient DNA Damage

4. Perspectives
4.1. Methods Based on Differences in the DNA Sequence
4.2. Methods Based on Deviations from the Expected Ploidy
4.3. Methods Based on Characteristics of Ancient DNA

5. Conclusion
 Rev. Type: Peer
 Identifiers: DOI: 10.1002/bies.202000081
Other: shh2660
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: Bioessays
  Other : Bioessays
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: Cambridge, UK : Co. of Biologists
Pages: - Volume / Issue: 42 (9) Sequence Number: 2000081 Start / End Page: - Identifier: ISSN: 0265-9247
CoNE: https://pure.mpg.de/cone/journals/resource/954925499109