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Record W2044750784 · doi:10.4161/mge.1.1.15588

The tangled past of eukaryotic enzymes involved in anaerobic metabolism

2011· article· en· W2044750784 on OpenAlexaff
Vladimı́r Hampl, Courtney W. Stairs, Andrew J. Roger

Bibliographic record

VenueMobile Genetic Elements · 2011
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenomics and Phylogenetic Studies
Canadian institutionsDalhousie University
Fundersnot available
KeywordsEukaryoteBiologyFerredoxinArginine deiminasePhylogeneticsArchaeaProkaryoteGeneHydrogenaseEndosymbiosisGenomeEvolutionary biologyGeneticsEnzymeBiochemistryChloroplastPlastidArginine

Abstract

fetched live from OpenAlex

There is little doubt that genes can spread across unrelated prokaryotes, eukaryotes and even between these domains. It is expected that organisms inhabiting a common niche may exchange their genes even more often due to their physical proximity and similar demands. One such niche is anaerobic or microaerophilic environments in some sediments and intestines of animals. Indeed, enzymes advantageous for metabolism in these environments often exhibit an evolutionary history incoherent with the history of their hosts indicating potential transfers. The evolutionary paths of some very basic enzymes for energy metabolism of anaerobic eukaryotes (pyruvate formate lyase, pyruvate:ferredoxin oxidoreductase, [FeFe]hydrogenase and arginine deiminase) seems to be particularly intriguing and although their histories are not identical they share several unexpected features in common. Every enzyme mentioned above is present in groups of eukaryotes that are unrelated to each other. Although the enzyme phylogenies are not always robustly supported, they always suggest that the eukaryotic homologues form one or two clades, in which the relationships are not congruent with the eukaryotic phylogeny. Finally, these eukaryotic enzymes are never specifically related to homologues from α-proteobacteria, ancestors of mitochondria. The most plausible explanation for evolution of this pattern expects one or two interdomain transfers to one or two eukaryotes from prokaryotes, who were not the mitochondrial endosymbiont. Once the genes were introduced into the eukaryotic domain they have spread to other eukaryotic groups exclusively via eukaryote-to-eukaryote transfers. Currently, eukaryote-to-eukaryote gene transfers have been regarded as less common than prokaryote-to-eukaryote transfers. The fact that eukaryotes accepted genes for these enzymes solely from other eukaryotes and not prokaryotes present in the same environment is surprising.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.243
Threshold uncertainty score0.552

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.013
GPT teacher head0.222
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 teacher head, 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

Citations21
Published2011
Admission routes1
Has abstractyes

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