Assessing the Potential of Ancient Protein Sequences in the Study of Hominid Evolution

Palaeoproteomic data can provide invaluable insights into hominid evolution over long timescales. Yet, the potential and limitations of ancient protein sequences to resolve evolutionary relations between species remains largely unexplored. In this study, we aim to quantify how much information about these relations can be obtained from limited ancient protein data, at the scale that is currently available or will be available in the near future. We harness sequence alignments of 12 enamel and collagen proteins that have been previously reported in fossil material that is at least 1 million years old. We utilize in silico translations of hominid DNA sequences of these proteins and highlight their differential sequence conservation, indicating some of them contain much larger amounts of information than others. We also evaluate the extent to which inferred topologies from protein data differ from inferred topologies from the more informationally dense DNA data. We show that the former may sometimes lead to inferences of the wrong tree topology due to the informational loss that comes when working with peptide data. Additionally, we determine the number of concatenated proteins necessary to confidently reconstruct the population/species tree summarizing the relations between humans, chimpanzees, and gorillas, as well as those between modern humans, Neanderthals, and Denisovans. As expected, increasing the number of proteins in a concatenation enhances resolution, but we note that trees inferred from the full set of collagen and enamel proteins do not necessarily correspond to population trees inferred from genome-wide data. We show this is especially the case in the closely related groups of our recent ancestors. We further demonstrate that while a number of proteins fall within archaic introgressed haplotypes of present day humans, ancient admixture is not the main source of the observed tree incongruence. Our study underscores the potential and limitations of utilizing palaeoproteomic data in deep time phylogenetic reconstructions, indicating that these will be aided not only by increased recovery of proteins in the future, but also by more careful modeling of evolutionary relations across the genome, beyond simply building single phylogenetic trees.

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Journal
Genome Biology and Evolution
Published
2026-02-13
DOI
https://doi.org/10.1093/gbe/evag035
Primary Topic
Pleistocene-Era Hominins and Archaeology
Type
article
Field-Weighted Citation Impact
0.00

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article

Assessing the Potential of Ancient Protein Sequences in the Study of Hominid Evolution

Laurits Skov, Ioannis Patramanis, Fernando Racimo, Enrico Cappellini
Genome Biology and Evolution
Pleistocene-Era Hominins and Archaeology
article

Assessing the Potential of Ancient Protein Sequences in the Study of Hominid Evolution

Laurits Skov, Ioannis Patramanis, Fernando Racimo, Enrico Cappellini
article en

Abstract

Palaeoproteomic data can provide invaluable insights into hominid evolution over long timescales. Yet, the potential and limitations of ancient protein sequences to resolve evolutionary relations between species remains largely unexplored. In this study, we aim to quantify how much information about these relations can be obtained from limited ancient protein data, at the scale that is currently available or will be available in the near future. We harness sequence alignments of 12 enamel and collagen proteins that have been previously reported in fossil material that is at least 1 million years old. We utilize in silico translations of hominid DNA sequences of these proteins and highlight their differential sequence conservation, indicating some of them contain much larger amounts of information than others. We also evaluate the extent to which inferred topologies from protein data differ from inferred topologies from the more informationally dense DNA data. We show that the former may sometimes lead to inferences of the wrong tree topology due to the informational loss that comes when working with peptide data. Additionally, we determine the number of concatenated proteins necessary to confidently reconstruct the population/species tree summarizing the relations between humans, chimpanzees, and gorillas, as well as those between modern humans, Neanderthals, and Denisovans. As expected, increasing the number of proteins in a concatenation enhances resolution, but we note that trees inferred from the full set of collagen and enamel proteins do not necessarily correspond to population trees inferred from genome-wide data. We show this is especially the case in the closely related groups of our recent ancestors. We further demonstrate that while a number of proteins fall within archaic introgressed haplotypes of present day humans, ancient admixture is not the main source of the observed tree incongruence. Our study underscores the potential and limitations of utilizing palaeoproteomic data in deep time phylogenetic reconstructions, indicating that these will be aided not only by increased recovery of proteins in the future, but also by more careful modeling of evolutionary relations across the genome, beyond simply building single phylogenetic trees.

Genome Biology and EvolutionVol. 18(3)
University of Copenhagen (DK)
European Commission, Novo Nordisk, Novo Nordisk Fonden, HORIZON EUROPE Framework Programme, Horizon 2020
Life in Land
Openalex Percentile: Top 48%
Pleistocene-Era Hominins and Archaeology
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