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Record W2524133771 · doi:10.7554/elife.17092

Protein sequences bound to mineral surfaces persist into deep time

2016· article· en· W2524133771 on OpenAlexafffund
Beatrice Demarchi, Shaun Hall, Teresa Roncal‐Herrero, Colin L. Freeman, Jos Woolley, Molly Crisp, Julie Wilson, Anna K. Fotakis, Román Fischer, Benedikt M. Kessler, Rosa Jersie-Christensen, Jesper V. Olsen, James Haile, Jessica Thomas, Curtis W. Marean, John Parkington, Samantha Presslee, Julia A. Lee‐Thorp, Peter Ditchfıeld, Jacqueline F. Hamilton, Martyn Ward, Chunting Michelle Wang, Marvin Shaw, Terry Harrison, Manuel Domínguez-Rodrigo, R. D. E. MacPhee, Amandus Kwekason, Michaela Ecker, Liora Kolska Horwitz, Michael Chazan, Roland Kröger, Jane Thomas‐Oates, John H. Harding, Enrico Cappellini, Kirsty Penkman, Matthew J. Collins

Bibliographic record

VenueeLife · 2016
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicEvolution and Paleontology Studies
Canadian institutionsUniversity of Toronto
FundersNatural Environment Research CouncilEngineering and Physical Sciences Research CouncilArts and Humanities Research CouncilDirectorate for Biological SciencesNovo Nordisk FondenNational Geographic SocietyNovo NordiskDanmarks GrundforskningsfondSocial Sciences and Humanities Research Council of CanadaLeakey FoundationNational Research FoundationJohn Templeton FoundationSight Research UKEuropean Research CouncilLeverhulme TrustNational Science FoundationHyde Family FoundationArizona State University
KeywordsCalciteDiagenesisBiologyMineralPaleontologyEvolutionary biologySequence (biology)EggshellGeologyZoologyEcologyGenetics

Abstract

fetched live from OpenAlex

Proteins persist longer in the fossil record than DNA, but the longevity, survival mechanisms and substrates remain contested. Here, we demonstrate the role of mineral binding in preserving the protein sequence in ostrich (Struthionidae) eggshell, including from the palaeontological sites of Laetoli (3.8 Ma) and Olduvai Gorge (1.3 Ma) in Tanzania. By tracking protein diagenesis back in time we find consistent patterns of preservation, demonstrating authenticity of the surviving sequences. Molecular dynamics simulations of struthiocalcin-1 and -2, the dominant proteins within the eggshell, reveal that distinct domains bind to the mineral surface. It is the domain with the strongest calculated binding energy to the calcite surface that is selectively preserved. Thermal age calculations demonstrate that the Laetoli and Olduvai peptides are 50 times older than any previously authenticated sequence (equivalent to ~16 Ma at a constant 10°C).

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.014
GPT teacher head0.223
Teacher spread0.209 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations274
Published2016
Admission routes2
Has abstractyes

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