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Record W4410738474 · doi:10.1101/2025.05.23.655837

Eukaryotic recombinases duplicated after divergence from known asgardarchaeal RadA: implications for the evolution of sex during eukaryogenesis

2025· preprint· en· W4410738474 on OpenAlexafffund
Lisa Matsuo, Anna M. G. Novák Vanclová, Andrew Pomiankowski, Nick Lane, Joel B. Dacks

Bibliographic record

VenuebioRxiv (Cold Spring Harbor Laboratory) · 2025
Typepreprint
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicProtist diversity and phylogeny
Canadian institutionsUniversity of Alberta
FundersNatural Environment Research CouncilBill and Melinda Gates FoundationNatural Sciences and Engineering Research Council of CanadaBiotechnology and Biological Sciences Research CouncilEngineering and Physical Sciences Research CouncilDirectorate for Biological Sciences
KeywordsRecombinaseDivergence (linguistics)Evolutionary biologyBiologyGeneticsRecombinationPhilosophyLinguisticsGene

Abstract

fetched live from OpenAlex

ABSTRACT The origin of meiotic sex was a key milestone in the evolution of the eukaryotic cell. The DNA recombinases Rad51 and DMC1 have been used previously to trace the timing and origins of the meiotic machinery, and warrant revisiting in the face of the recent increased diversity of reported asgardarchaeal taxa. Here we perform comparative genomics and phylogenetic analyses of RadA protein sequences from a broad sampling of eukaryotic and archaeal taxa. We show that even with increased and new sampling, the eukaryotic Rad51 and DMC1 proteins still resolve separately from any archaeal RadA sequences. Taking into account recent evolutionary cell biological discoveries, our data are most consistent with a scenario whereby the asgardarchaeal host cell was evolving cytoskeletal and membrane-protein machinery that was later incorporated into eukaryotic endomembrane systems following the acquisition of mitochondria and the evolution of sex.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.001
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 head0.011
GPT teacher head0.217
Teacher spread0.206 · 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 designTheoretical or conceptual
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

Citations1
Published2025
Admission routes2
Has abstractyes

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