Ancient Biomolecules and Evolutionary Inference

Research output: Contribution to journalJournal articleResearchpeer-review

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Ancient Biomolecules and Evolutionary Inference. / Cappellini, Enrico; Prohaska, Ana; Racimo, Fernando; Welker, Frido; Pedersen, Mikkel Winther; Allentoft, Morten Erik; Damgaard, Peter de Barros; Gutenbrunner, Petra; Dunne, Julie; Hammann, Simon; Roffet-Salque, Mélanie; Ilardo, Melissa; Moreno Mayar, José Victor ; Wang, Yucheng; Sikora, Martin; Vinner, Lasse; Cox, Jürgen; Evershed, Richard P; Willerslev, Eske.

In: Annual Review of Biochemistry, Vol. 87, 36, 2018.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Cappellini, E, Prohaska, A, Racimo, F, Welker, F, Pedersen, MW, Allentoft, ME, Damgaard, PDB, Gutenbrunner, P, Dunne, J, Hammann, S, Roffet-Salque, M, Ilardo, M, Moreno Mayar, JV, Wang, Y, Sikora, M, Vinner, L, Cox, J, Evershed, RP & Willerslev, E 2018, 'Ancient Biomolecules and Evolutionary Inference', Annual Review of Biochemistry, vol. 87, 36. https://doi.org/10.1146/annurev-biochem-062917-012002

APA

Cappellini, E., Prohaska, A., Racimo, F., Welker, F., Pedersen, M. W., Allentoft, M. E., ... Willerslev, E. (2018). Ancient Biomolecules and Evolutionary Inference. Annual Review of Biochemistry, 87, [36]. https://doi.org/10.1146/annurev-biochem-062917-012002

Vancouver

Cappellini E, Prohaska A, Racimo F, Welker F, Pedersen MW, Allentoft ME et al. Ancient Biomolecules and Evolutionary Inference. Annual Review of Biochemistry. 2018;87. 36. https://doi.org/10.1146/annurev-biochem-062917-012002

Author

Cappellini, Enrico ; Prohaska, Ana ; Racimo, Fernando ; Welker, Frido ; Pedersen, Mikkel Winther ; Allentoft, Morten Erik ; Damgaard, Peter de Barros ; Gutenbrunner, Petra ; Dunne, Julie ; Hammann, Simon ; Roffet-Salque, Mélanie ; Ilardo, Melissa ; Moreno Mayar, José Victor ; Wang, Yucheng ; Sikora, Martin ; Vinner, Lasse ; Cox, Jürgen ; Evershed, Richard P ; Willerslev, Eske. / Ancient Biomolecules and Evolutionary Inference. In: Annual Review of Biochemistry. 2018 ; Vol. 87.

Bibtex

@article{166952453b0e4a26b918a5f37f98c325,
title = "Ancient Biomolecules and Evolutionary Inference",
abstract = "Over the last decade, studies of ancient biomolecules-particularly ancient DNA, proteins, and lipids-have revolutionized our understanding of evolutionary history. Though initially fraught with many challenges, the field now 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. Expected final online publication date for the Annual Review of Biochemistry Volume 87 is June 20, 2018. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.",
author = "Enrico Cappellini and Ana Prohaska and Fernando Racimo and Frido Welker and Pedersen, {Mikkel Winther} and Allentoft, {Morten Erik} and Damgaard, {Peter de Barros} and Petra Gutenbrunner and Julie Dunne and Simon Hammann and M{\'e}lanie Roffet-Salque and Melissa Ilardo and {Moreno Mayar}, {Jos{\'e} Victor} and Yucheng Wang and Martin Sikora and Lasse Vinner and J{\"u}rgen Cox and Evershed, {Richard P} and Eske Willerslev",
year = "2018",
doi = "10.1146/annurev-biochem-062917-012002",
language = "English",
volume = "87",
journal = "Annual Review of Biochemistry",
issn = "0066-4154",
publisher = "Annual Reviews",

}

RIS

TY - JOUR

T1 - Ancient Biomolecules and Evolutionary Inference

AU - Cappellini, Enrico

AU - Prohaska, Ana

AU - Racimo, Fernando

AU - Welker, Frido

AU - Pedersen, Mikkel Winther

AU - Allentoft, Morten Erik

AU - Damgaard, Peter de Barros

AU - Gutenbrunner, Petra

AU - Dunne, Julie

AU - Hammann, Simon

AU - Roffet-Salque, Mélanie

AU - Ilardo, Melissa

AU - Moreno Mayar, José Victor

AU - Wang, Yucheng

AU - Sikora, Martin

AU - Vinner, Lasse

AU - Cox, Jürgen

AU - Evershed, Richard P

AU - Willerslev, Eske

PY - 2018

Y1 - 2018

N2 - Over the last decade, studies of ancient biomolecules-particularly ancient DNA, proteins, and lipids-have revolutionized our understanding of evolutionary history. Though initially fraught with many challenges, the field now 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. Expected final online publication date for the Annual Review of Biochemistry Volume 87 is June 20, 2018. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.

AB - Over the last decade, studies of ancient biomolecules-particularly ancient DNA, proteins, and lipids-have revolutionized our understanding of evolutionary history. Though initially fraught with many challenges, the field now 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. Expected final online publication date for the Annual Review of Biochemistry Volume 87 is June 20, 2018. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.

U2 - 10.1146/annurev-biochem-062917-012002

DO - 10.1146/annurev-biochem-062917-012002

M3 - Journal article

C2 - 29709200

VL - 87

JO - Annual Review of Biochemistry

JF - Annual Review of Biochemistry

SN - 0066-4154

M1 - 36

ER -

ID: 196258859