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Record W4414478190 · doi:10.1016/j.celrep.2025.116333

Functional consequences of reductive protein evolution in a minimal eukaryotic genome

2025· article· en· W4414478190 on OpenAlexafffund
Jason Jiang, Rui Qu, Winnie Zhao, Qin Yu, P. M. Shreenidhi, Hala Tamim El Jarkass

Bibliographic record

VenueCell Reports · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRNA and protein synthesis mechanisms
Canadian institutionsUniversity of Toronto
FundersNatural Sciences and Engineering Research Council of CanadaCanadian Institutes of Health ResearchAlfred P. Sloan Foundation
KeywordsMicrosporidiaComplementationYeastSaccharomyces cerevisiaeGenomeFunction (biology)Context (archaeology)Complement (music)

Abstract

fetched live from OpenAlex

Microsporidia are parasites with the smallest known eukaryotic genomes. Taking a comparative genomic approach, we identified microsporidia orthologs of budding yeast proteins and show that the median microsporidia protein is 21% shorter than its yeast counterpart. Microsporidia proteins are shorter due to reduced domain lengths, diminished linker lengths, and domain loss. On average, 34% of microsporidia orthologs have lost C-terminal residues essential for function in yeast, including 13 essential domains lost per genome. Using yeast complementation assays, we show that most microsporidia proteins cannot complement their yeast orthologs, and the ability to complement is about 3-fold less than that observed for the orthologs of Rozella allomycis, a relative of microsporidia. Microsporidia proteins that do not complement are shorter in length than their yeast orthologs. Altogether, our results demonstrate the drastic reduction of microsporidia proteins and show that these reductions have resulted in a diminished ability to function within the context of yeast.

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 score0.001
Threshold uncertainty score0.003

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 science0.0000.001
Research integrity0.0000.001
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 head0.010
GPT teacher head0.221
Teacher spread0.211 · 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

Citations2
Published2025
Admission routes2
Has abstractyes

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