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Record W4399351544 · doi:10.1139/bcb-2024-0046

Interconnected roles of fungal nuclear- and intron-encoded maturases: at the crossroads of mitochondrial intron splicing

2024· review· en· W4399351544 on OpenAlexafffundvenue
Jigeesha Mukhopadhyay, Georg Hausner

Bibliographic record

VenueBiochemistry and Cell Biology · 2024
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRNA and protein synthesis mechanisms
Canadian institutionsUniversity of Manitoba
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsIntronRNA splicingGroup II intronGroup I catalytic intronBiologySplicing factorMinor spliceosomeGeneticsRibozymeGeneGenomeExonic splicing enhancerComputational biologyRNA

Abstract

fetched live from OpenAlex

Group I and II introns are large catalytic RNAs (ribozymes) that are frequently encountered in fungal mitochondrial genomes. The discovery of respiratory mutants linked to intron splicing defects demonstrated that for the efficient removal of organellar introns there appears to be a requirement of protein splicing factors. These splicing factors can be intron-encoded proteins with maturase activities that usually promote the splicing of the introns that encode them ( cis-acting) and/or nuclear-encoded factors that can promote the splicing of a range of different introns ( trans-acting). Compared to plants organellar introns, fungal mitochondrial intron splicing is still poorly explored, especially in terms of the synergy of nuclear factors with intron-encoded maturases that has direct impact on splicing through their association with intron RNA. In addition, nuclear-encoded accessory factors might drive the splicing impetus through translational activation, mitoribosome assembly, and phosphorylation-mediated RNA turnover. This review explores protein-assisted splicing of introns by nuclear and mitochondrial-encoded maturases as a means of mitonuclear interplay that could respond to environmental and developmental factors promoting phenotypic adaptation and potentially speciation. It also highlights key evolutionary events that have led to changes in structure and ATP-dependence to accommodate the dual functionality of nuclear and organellar splicing factors.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.002

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 head0.260
Teacher spread0.250 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations3
Published2024
Admission routes3
Has abstractyes

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