Ancient Biomolecules and Evolutionary Inference

Author:

Cappellini Enrico1,Prohaska Ana2,Racimo Fernando1,Welker Frido34,Pedersen Mikkel Winther2,Allentoft Morten E.1,de Barros Damgaard Peter1,Gutenbrunner Petra5,Dunne Julie6,Hammann Simon67,Roffet-Salque Mélanie6,Ilardo Melissa1,Moreno-Mayar J. Víctor1,Wang Yucheng1,Sikora Martin1,Vinner Lasse1,Cox Jürgen5,Evershed Richard P.6,Willerslev Eske128

Affiliation:

1. Centre for GeoGenetics, Natural History Museum of Denmark, University of Copenhagen, 1350 Copenhagen, Denmark;,

2. Department of Zoology, University of Cambridge, Cambridge CB2 3EJ, United Kingdom

3. Natural History Museum of Denmark, University of Copenhagen, 1350 Copenhagen, Denmark

4. Department of Human Evolution, Max Planck Institute for Evolutionary Anthropology, 04103 Leipzig, Germany

5. Computational Systems Biochemistry, Max Planck Institute of Biochemistry, 82152 Martinsried, Germany

6. Organic Geochemistry Unit, School of Chemistry, University of Bristol, Bristol BS8 1TS, United Kingdom;

7. Department of Anthropology and Archaeology, University of Bristol, Bristol BS8 1UU, United Kingdom

8. Wellcome Trust Sanger Institute, Hinxton, Cambridgeshire CB10 1SA, United Kingdom

Abstract

Over the past three decades, studies of ancient biomolecules—particularly ancient DNA, proteins, and lipids—have revolutionized our understanding 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 spatial 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.

Publisher

Annual Reviews

Subject

Biochemistry

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