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Record W4412611551 · doi:10.1016/j.isci.2025.113184

Phylogenetic position and mitochondrial genome evolution of “orphan” eukaryotic lineages

2025· article· en· W4412611551 on OpenAlexafffund
Vasily V. Zlatogursky, Vittorio Boscaro, Gordon Lax, Matias Wanntorp, Nina Pohl, Fabien Burki, Patrick J. Keeling

Bibliographic record

VenueiScience · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenomics and Phylogenetic Studies
Canadian institutionsUniversity of British Columbia
FundersNatural Sciences and Engineering Research Council of CanadaH2020 European Research CouncilScience for Life LaboratoryVetenskapsrådetGordon and Betty Moore Foundation
KeywordsMitochondrial DNAPhylogenetic treeBiologyEvolutionary biologyGenomeGeneticsPhylogeneticsComputational biologyGene

Abstract

fetched live from OpenAlex

The phylogenetic tree of eukaryotes is divided into a handful of highly diverse "'supergroups"; only a few so-called "orphan" lineages branch in uncertain positions outside of these large clades. We found that the mitochondrial genome of one such lineage, the telonemids, is considerably gene-rich, a feature observed in other "orphans" as well, raising the possibility that these organisms share a common history. On the contrary, our phylogenomic analyses show that "orphans" with gene-rich mitochondria branch into two different positions: telonemids actually belong to the established supergroup Haptista, while provorans and meteorids form a strongly supported clade with hemimastigophorans, in a previously unrecognized ancient supergroup that we dub here Promethea. Comparative genomics shows that this split reflects differences between mitochondrial gene sets. Thanks to the increased number of available representatives analyzed together, our results further simplify and illuminate the evolutionary relationships between eukaryotes.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

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 studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
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 head0.006
GPT teacher head0.229
Teacher spread0.223 · 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 designObservational
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

Citations4
Published2025
Admission routes2
Has abstractyes

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