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  Ancient biomolecules and evolutionary inference

Cappellini, E., Prohaska, A., Racimo, F., Welker, F., Pedersen, M. W., Allentoft, M. E., et al. (2018). Ancient biomolecules and evolutionary inference. Annual Review of Biochemistry, 87, 1029-1060. doi:10.1146/annurev-biochem-062917-012002.

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Cappellini_Ancient_2018.pdf (Verlagsversion), 2MB
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Cappellini_Ancient_2018.pdf
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2018
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Copyright c 2018 Enrico Cappellini et al. This work is licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. See credit lines of images or other third-party material in this article for license information.

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 Urheber:
Cappellini, Enrico, Autor
Prohaska, Ana, Autor
Racimo, Fernando, Autor
Welker, Frido1, Autor           
Pedersen, Mikkel Winther, Autor
Allentoft, Morten E., Autor
Damgaard, Peter de Barros, Autor
Gutenbrunner, Petra, Autor
Dunne, Julie, Autor
Hammann, Simon, Autor
Roffet-Salque, Melanie, Autor
Ilardo, Melissa, Autor
Moreno-Mayar, J. Victor, Autor
Wang, Yucheng, Autor
Sikora, Martin, Autor
Vinner, Lasse, Autor
Cox, Juergen, Autor
Evershed, Richard P., Autor
Willerslev, Eske, Autor
Affiliations:
1Department of Human Evolution, Max Planck Institute for Evolutionary Anthropology, Max Planck Society, ou_1497673              

Inhalt

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Schlagwörter: ancient DNA, ancient genomics, paleogenomics, ancient proteins, ancient lipids, paleoproteomics
 Zusammenfassung: Over the past three decades, studies of ancient biomolecules—particularly ancient DNA, proteins, and lipids—have revolutionized our understand- ing of evolutionary history. Though initially fraught with many challenges, today the field stands on firm foundations. Researchers now successfully retrieve nucleotide and amino acid sequences, as well as lipid signatures, from progressively older samples, originating from geographic areas and depositional environments that, until recently, were regarded as hostile to long-term preservation of biomolecules. Sampling frequencies and the spa- tial and temporal scope of studies have also increased markedly, and with them the size and quality of the data sets generated. This progress has been made possible by continuous technical innovations in analytical methods, enhanced criteria for the selection of ancient samples, integrated experimental methods, and advanced computational approaches. Here, we discuss the history and current state of ancient biomolecule research, its applications to evolutionary inference, and future directions for this young and exciting field.

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Sprache(n): eng - English
 Datum: 2018-04-252018-06
 Publikationsstatus: Erschienen
 Seiten: 36
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: Expertenbegutachtung
 Identifikatoren: DOI: 10.1146/annurev-biochem-062917-012002
 Art des Abschluß: -

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Titel: Annual Review of Biochemistry
Genre der Quelle: Zeitschrift
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Ort, Verlag, Ausgabe: Palo Alto, Calif. : Stanford University Press
Seiten: 36 Band / Heft: 87 Artikelnummer: - Start- / Endseite: 1029 - 1060 Identifikator: ISSN: 0066-4154
CoNE: https://pure.mpg.de/cone/journals/resource/954925458038