MassIVE MSV000098544

Imported Reanalysis Dataset Public PXD052635

An early Miocene enamel proteome from an early diverging rhinocerotid

Description

The evolutionary history of Rhinocerotidae has been the subject of significant debate among palaeontologists, with several paradigm shifts within the last quarter century, typically centered around a speculated deep-basal split between Rhinocerotinae and Elasmotheriinae. Here, we recover an endogenous ancient enamel proteome from an Early Miocene (20+Ma) old rhinocerotid from the Haughton Formation of Canada’s High Arctic. Ancient proteomes sufficient for phylogenetic analysis have not previously been recovered from beyond the Pliocene, making it difficult to reconstruct the evolutionary relationships and divergence times of fossil taxa that are beyond the reach of ancient DNA. Here, phylogenetic analysis of our proteomic data suggests the split between Elasmotheriinae and Rhinocerotinae occurred much later than previously speculated, in the late Eocene or Oligocene. The authenticity of ancient the ancient proteome is supported by a suite of post-translational modifications associated with advanced degradation, including a significant degree of arginine->ornithine conversion and high rates of advanced forms of tryptophan and histidine oxidation. [dataset license: CC0 1.0 Universal (CC0 1.0)]

Keywords: Rhinocerotidae ; Enamel ; Lc-ms/ms ; DatasetType:Proteomics

Contact

Principal Investigators:
(in alphabetical order)
Enrico Cappellini, Globe Institute, University of Copenhagen, Denmark, N/A
Submitting User: ccms
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Experimental Design
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Identification Results
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Quantification Results
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Number of distinct conditions across all analyses (original submission and reanalyses) associated with this dataset.

Distinct condition labels are counted across all files submitted in the "Metadata" category having a "Condition" column in this dataset.

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Number of distinct biological replicates across all analyses (original submission and reanalyses) associated with this dataset.

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Number of distinct technical replicates across all analyses (original submission and reanalyses) associated with this dataset.

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Originally identified proteins that were automatically remapped by MassIVE to proteins in the SwissProt human reference database.

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Number of distinct protein accessions reported across all analyses (original submission and reanalyses) associated with this dataset.

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Number of distinct unmodified peptide sequences reported across all analyses (original submission and reanalyses) associated with this dataset.

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Number of distinct peptide sequences (including modified variants or peptidoforms) reported across all analyses (original submission and reanalyses) associated with this dataset.

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Total number of peptide-spectrum matches (i.e. spectrum identifications) reported across all analyses (original submission and reanalyses) associated with this dataset.

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Number of distinct proteins quantified across all analyses (original submission and reanalyses) associated with this dataset.

Distinct protein accessions are counted across all files submitted in the "Statistical Analysis of Quantified Analytes" category having a "Protein" column in this dataset.

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Number of distinct proteins found to be differentially abundant in at least one comparison across all analyses (original submission and reanalyses) associated with this dataset.

A protein is differentially abundant if its change in abundance across conditions is found to be statistically significant with an adjusted p-value <= 0.05 and lists no issues associated with statistical tests for differential abundance.

Distinct protein accessions are counted across all files submitted in the "Statistical Analysis of Quantified Analytes" category having a "Protein" column in this dataset.

"N/A" means no results of this type were submitted.
This dataset may not contain all raw spectra data as originally deposited in PRIDE. It has been imported to MassIVE for reanalysis purposes, so its spectra data here may consist solely of processed peak lists suitable for reanalysis with most software.