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Ancient Biomolecules and Evolutionary Inference.
Cappellini, Enrico; Prohaska, Ana; Racimo, Fernando; Welker, Frido; Pedersen, Mikkel Winther; Allentoft, Morten E; de Barros Damgaard, Peter; Gutenbrunner, Petra; Dunne, Julie; Hammann, Simon; Roffet-Salque, Mélanie; Ilardo, Melissa; Moreno-Mayar, J Víctor; Wang, Yucheng; Sikora, Martin; Vinner, Lasse; Cox, Jürgen; Evershed, Richard P; Willerslev, Eske.
Affiliation
  • Cappellini E; Centre for GeoGenetics, Natural History Museum of Denmark, University of Copenhagen, 1350 Copenhagen, Denmark; email: ecappellini@snm.ku.dk , ewillerslev@snm.ku.dk.
  • Prohaska A; Department of Zoology, University of Cambridge, Cambridge CB2 3EJ, United Kingdom.
  • Racimo F; Centre for GeoGenetics, Natural History Museum of Denmark, University of Copenhagen, 1350 Copenhagen, Denmark; email: ecappellini@snm.ku.dk , ewillerslev@snm.ku.dk.
  • Welker F; Natural History Museum of Denmark, University of Copenhagen, 1350 Copenhagen, Denmark.
  • Pedersen MW; Department of Human Evolution, Max Planck Institute for Evolutionary Anthropology, 04103 Leipzig, Germany.
  • Allentoft ME; Department of Zoology, University of Cambridge, Cambridge CB2 3EJ, United Kingdom.
  • de Barros Damgaard P; Centre for GeoGenetics, Natural History Museum of Denmark, University of Copenhagen, 1350 Copenhagen, Denmark; email: ecappellini@snm.ku.dk , ewillerslev@snm.ku.dk.
  • Gutenbrunner P; Centre for GeoGenetics, Natural History Museum of Denmark, University of Copenhagen, 1350 Copenhagen, Denmark; email: ecappellini@snm.ku.dk , ewillerslev@snm.ku.dk.
  • Dunne J; Computational Systems Biochemistry, Max Planck Institute of Biochemistry, 82152 Martinsried, Germany.
  • Hammann S; Organic Geochemistry Unit, School of Chemistry, University of Bristol, Bristol BS8 1TS, United Kingdom; email: r.p.evershed@bristol.ac.uk.
  • Roffet-Salque M; Organic Geochemistry Unit, School of Chemistry, University of Bristol, Bristol BS8 1TS, United Kingdom; email: r.p.evershed@bristol.ac.uk.
  • Ilardo M; Department of Anthropology and Archaeology, University of Bristol, Bristol BS8 1UU, United Kingdom.
  • Moreno-Mayar JV; Organic Geochemistry Unit, School of Chemistry, University of Bristol, Bristol BS8 1TS, United Kingdom; email: r.p.evershed@bristol.ac.uk.
  • Wang Y; Centre for GeoGenetics, Natural History Museum of Denmark, University of Copenhagen, 1350 Copenhagen, Denmark; email: ecappellini@snm.ku.dk , ewillerslev@snm.ku.dk.
  • Sikora M; Centre for GeoGenetics, Natural History Museum of Denmark, University of Copenhagen, 1350 Copenhagen, Denmark; email: ecappellini@snm.ku.dk , ewillerslev@snm.ku.dk.
  • Vinner L; Centre for GeoGenetics, Natural History Museum of Denmark, University of Copenhagen, 1350 Copenhagen, Denmark; email: ecappellini@snm.ku.dk , ewillerslev@snm.ku.dk.
  • Cox J; Centre for GeoGenetics, Natural History Museum of Denmark, University of Copenhagen, 1350 Copenhagen, Denmark; email: ecappellini@snm.ku.dk , ewillerslev@snm.ku.dk.
  • Evershed RP; Centre for GeoGenetics, Natural History Museum of Denmark, University of Copenhagen, 1350 Copenhagen, Denmark; email: ecappellini@snm.ku.dk , ewillerslev@snm.ku.dk.
  • Willerslev E; Computational Systems Biochemistry, Max Planck Institute of Biochemistry, 82152 Martinsried, Germany.
Annu Rev Biochem ; 87: 1029-1060, 2018 06 20.
Article in En | MEDLINE | ID: mdl-29709200
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.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Evolution, Molecular / DNA, Ancient Limits: Animals / Humans Language: En Journal: Annu Rev Biochem Year: 2018 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Evolution, Molecular / DNA, Ancient Limits: Animals / Humans Language: En Journal: Annu Rev Biochem Year: 2018 Document type: Article