The future of ancient DNA
- Technological innovations such as next generation sequencing and DNA hybridisation enrichment have resulted in multi-fold increases in both the quantity of ancient DNA sequence data and the time depth for DNA retrieval. To date, over 30 ancient genomes have been sequenced, moving from 0.7x coverage (mammoth) in 2008 to more than 50x coverage (Neanderthal) in 2014. Studies of rapid evolutionary changes, such as the evolution and spread of pathogens and the genetic responses of hosts, or the genetics of domestication and climatic adaptation, are developing swiftly and the importance of palaeogenomics for investigating evolutionary processes during the last million years is likely to increase considerably. However, these new datasets require new methods of data processing and analysis, as well as conceptual changes in interpreting the results. In this review we highlight important areas of future technical and conceptual progress and discuss research topics in the rapidly growing field of palaeogenomics.
Author details: | Michael HofreiterORCiDGND, Johanna L. A. PaijmansORCiDGND, Helen GoodchildORCiD, Camilla F. SpellerORCiD, Axel BarlowORCiDGND, Gloria M. Gonzalez-FortesORCiD, Jessica A. Thomas, Arne Ludwig, Matthew J. CollinsORCiD |
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URN: | urn:nbn:de:kobv:517-opus4-438816 |
DOI: | https://doi.org/10.25932/publishup-43881 |
ISSN: | 1866-8372 |
Title of parent work (German): | Postprints der Universität Potsdam : Mathematisch Naturwissenschaftliche Reihe |
Subtitle (English): | technical advances and conceptual shifts |
Publication series (Volume number): | Zweitveröffentlichungen der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe (908) |
Publication type: | Postprint |
Language: | English |
Date of first publication: | 2020/05/25 |
Publication year: | 2015 |
Publishing institution: | Universität Potsdam |
Release date: | 2020/05/25 |
Tag: | ancient DNA; hybridisation capture; multi-locus data; next generation sequencing (NGS); palaeogenomics; population genomics |
Issue: | 908 |
Number of pages: | 12 |
First page: | 284 |
Last Page: | 295 |
Source: | BioEssays 37 (2015) 3, 284-293 DOI: 10.1002/bies.201400160 |
Organizational units: | Mathematisch-Naturwissenschaftliche Fakultät |
DDC classification: | 5 Naturwissenschaften und Mathematik / 54 Chemie / 540 Chemie und zugeordnete Wissenschaften |
5 Naturwissenschaften und Mathematik / 57 Biowissenschaften; Biologie / 570 Biowissenschaften; Biologie | |
Peer review: | Referiert |
Publishing method: | Open Access |
License (German): | Keine öffentliche Lizenz: Unter Urheberrechtsschutz |
External remark: | Bibliographieeintrag der Originalveröffentlichung/Quelle |