Deep-time phylogenetic inference by paleoproteomic analysis of dental enamel

被引:6
|
作者
Taurozzi, Alberto J. [1 ]
Ruther, Patrick L. [2 ]
Patramanis, Ioannis [1 ]
Koenig, Claire [2 ]
Paterson, Ryan Sinclair [1 ]
Madupe, Palesa P. [1 ]
Harking, Florian Simon [2 ]
Welker, Frido [1 ]
Mackie, Meaghan [1 ,2 ]
Ramos-Madrigal, Jazmin [1 ]
Olsen, Jesper V. [2 ]
Cappellini, Enrico [1 ]
机构
[1] Univ Copenhagen, Globe Inst, Copenhagen, Denmark
[2] Univ Copenhagen, Novo Nordisk Fdn, Ctr Prot Res, Copenhagen, Denmark
基金
欧洲研究理事会; 新加坡国家研究基金会;
关键词
MULTIPLE SEQUENCE ALIGNMENT; GENOME SEQUENCE; DNA-SEQUENCES; GENE TREES; NEANDERTHAL; DEAMIDATION; GLUTAMINE; EVOLUTION; PEPTIDES; DATABASE;
D O I
10.1038/s41596-024-00975-3
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
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. 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. Ancient proteins carry genetic information from fossils that are too old or degraded for ancient DNA recovery. This protocol describes the extraction and tandem mass spectrometry sequencing of million-year-old dental enamel proteins for phylogenetic inference.
引用
收藏
页码:2085 / 2116
页数:38
相关论文
共 50 条
  • [21] New directions in the archaeology of medicine: deep-time approaches to human-animal-environmental care
    Shaw, Julia
    Sykes, Naomi
    WORLD ARCHAEOLOGY, 2018, 50 (03) : 365 - 383
  • [22] Deep Learning Based Phylogenetic Analysis
    Das, Bihter
    Toroman, Suat
    2020 5TH INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND ENGINEERING (UBMK), 2020, : 323 - 326
  • [23] Uranium Redox and Deposition Transitions Embedded in Deep-Time Geochemical Models and Mineral Chemistry Networks
    Moore, E. K.
    Li, J.
    Zhang, A.
    Hao, J.
    Morrison, S. M.
    Hummer, D. R.
    Yee, N.
    GEOCHEMISTRY GEOPHYSICS GEOSYSTEMS, 2024, 25 (02)
  • [24] Barium isotopes in stromatolites through deep-time: A novel tracer for metal cycling in the photic zone
    Hohl, Simon, V
    Lin, Yi-Bo
    Wei, Hai-Zhen
    Wei, Guang-Yi
    Viehmann, Sebastian
    EARTH AND PLANETARY SCIENCE LETTERS, 2024, 632
  • [25] The first known riodinid 'cuckoo' butterfly reveals deep-time convergence and parallelism in ant social parasites
    Kaminski, Lucas A.
    Volkmann, Luis
    Callaghan, Curtis J.
    DeVries, Philip J.
    Vila, Roger
    ZOOLOGICAL JOURNAL OF THE LINNEAN SOCIETY, 2021, 193 (03) : 860 - 879
  • [26] Decoding the drivers of deep-time wetland biodiversity: insights from an early Permian tropical lake ecosystem
    Truemper, Steffen
    Vogel, Bjoern
    Germann, Sebastian
    Werneburg, Ralf
    Schneider, Joerg W.
    Hellwig, Alexandra
    Linnemann, Ulf
    Hofmann, Mandy
    Roessler, Ronny
    PALAEONTOLOGY, 2023, 66 (03)
  • [27] Generating Spatialised and Seasonal Deep-Time Palaeoclimatic Information: Integration Into an Environmental-Dependent Diversification Model
    Tardif, Delphine
    Condamine, Fabien L.
    Streiff, Serafin J. R.
    Sepulchre, Pierre
    Couvreur, Thomas L. P.
    GLOBAL ECOLOGY AND BIOGEOGRAPHY, 2025, 34 (04):
  • [28] Mitochondrial genome phylogeny reveals the deep-time origin of Gomphomastacinae (Orthoptera: Eumastacidae) and its alpine genera in China
    Ge, Jun-Jie
    Ying, Hong-Fei
    Xu, Sheng-Quan
    Huang, Hua-Teng
    JOURNAL OF SYSTEMATICS AND EVOLUTION, 2023, 61 (06) : 1047 - 1055
  • [29] Oxygen isotopic alteration rate of continental crust recorded by detrital zircon and its implication for deep-time weathering
    Li, Gaojun
    Yang, Ruiyu
    Xu, Zhewen
    Hartmann, Jens
    Hedding, David W.
    Li, Xianhua
    Ernst, Richard E.
    Li, Zhong-Hai
    Zou, Hao
    Li, Zhongquan
    Chen, Jun
    EARTH AND PLANETARY SCIENCE LETTERS, 2022, 578
  • [30] Developmental plasticity in deep time: a window to population ecological inference
    Brombacher, Anieke
    Schmidt, Daniela N.
    Ezard, Thomas H. G.
    PALEOBIOLOGY, 2023, 49 (02) : 259 - 270