Content area

Abstract

In temperate and subtropical regions, ancient proteins are reported to survive up to about 2 million years, far beyond the known limits of ancient DNA preservation in the same areas. Accordingly, their amino acid sequences currently represent the only source of genetic information available to pursue phylogenetic inference involving species that went extinct too long ago to be amenable for ancient DNA analysis. Here we present a complete workflow, including sample preparation, mass spectrometric data acquisition and computational analysis, to recover and interpret million-year-old dental enamel protein sequences. During sample preparation, the proteolytic digestion step, usually an integral part of conventional bottom-up proteomics, is omitted to increase the recovery of the randomly degraded peptides spontaneously generated by extensive diagenetic hydrolysis of ancient proteins over geological time. Similarly, we describe other solutions we have adopted to (1) authenticate the endogenous origin of the protein traces we identify, (2) detect and validate amino acid variation in the ancient protein sequences and (3) attempt phylogenetic inference. Sample preparation and data acquisition can be completed in 3–4 working days, while subsequent data analysis usually takes 2–5 days. The workflow described requires basic expertise in ancient biomolecules analysis, mass spectrometry-based proteomics and molecular phylogeny. Finally, we describe the limits of this approach and its potential for the reconstruction of evolutionary relationships in paleontology and paleoanthropology.

Key points

Paleoproteomics has shown that it is possible to obtain useful phylogenetic information from dental enamel proteins up to 2 million years old. They are heavily fragmented and chemically modified, making their recovery and analysis challenging.

The protocol describes how to (1) extract million-year-old dental enamel protein remains while minimizing contamination, (2) sequence them using high-resolution tandem mass spectrometry and (3) attempt otherwise so far impossible molecular-based phylogenetic inference.

Details

Title
Deep-time phylogenetic inference by paleoproteomic analysis of dental enamel
Author
Taurozzi, Alberto J. 1   VIAFID ORCID Logo  ; Rüther, Patrick L. 2 ; Patramanis, Ioannis 1 ; Koenig, Claire 2   VIAFID ORCID Logo  ; Sinclair Paterson, Ryan 1 ; Madupe, Palesa P. 1 ; Harking, Florian Simon 2   VIAFID ORCID Logo  ; Welker, Frido 1   VIAFID ORCID Logo  ; Mackie, Meaghan 3   VIAFID ORCID Logo  ; Ramos-Madrigal, Jazmín 1   VIAFID ORCID Logo  ; Olsen, Jesper V. 2   VIAFID ORCID Logo  ; Cappellini, Enrico 1   VIAFID ORCID Logo 

 University of Copenhagen, Globe Institute, Copenhagen, Denmark (GRID:grid.5254.6) (ISNI:0000 0001 0674 042X) 
 University of Copenhagen, Novo Nordisk Foundation Center for Protein Research, Copenhagen, Denmark (GRID:grid.5254.6) (ISNI:0000 0001 0674 042X) 
 University of Copenhagen, Globe Institute, Copenhagen, Denmark (GRID:grid.5254.6) (ISNI:0000 0001 0674 042X); University of Copenhagen, Novo Nordisk Foundation Center for Protein Research, Copenhagen, Denmark (GRID:grid.5254.6) (ISNI:0000 0001 0674 042X) 
Publication title
Volume
19
Issue
7
Pages
2085-2116
Publication year
2024
Publication date
Jul 2024
Publisher
Nature Publishing Group
Place of publication
London
Country of publication
United States
Publication subject
ISSN
17542189
e-ISSN
17502799
Source type
Scholarly Journal
Language of publication
English
Document type
Journal Article
Publication history
 
 
Online publication date
2024-04-26
Milestone dates
2024-02-16 (Registration); 2023-03-14 (Received); 2024-01-12 (Accepted)
Publication history
 
 
   First posting date
26 Apr 2024
ProQuest document ID
3076842482
Document URL
https://www.proquest.com/scholarly-journals/deep-time-phylogenetic-inference-paleoproteomic/docview/3076842482/se-2?accountid=208611
Copyright
© Springer Nature Limited 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
Last updated
2024-11-06
Database
ProQuest One Academic