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Record W3007305968 · doi:10.1111/mmi.14495

Iron deficiency leads to repression of a non‐canonical methionine salvage pathway in <i>Schizosaccharomyces pombe</i>

2020· article· en· W3007305968 on OpenAlexafffund
Ariane Brault, Simon Labbé

Bibliographic record

VenueMolecular Microbiology · 2020
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPolyamine Metabolism and Applications
Canadian institutionsUniversité de Sherbrooke
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsSchizosaccharomyces pombeBiologyMethioninePsychological repressionAuxotrophyBiochemistryImmunoprecipitationEnzymeCell biologyYeastAmino acidSaccharomyces cerevisiaeGeneGene expressionMutant

Abstract

fetched live from OpenAlex

Abstract The methionine salvage pathway (MSP) regenerates methionine from 5′‐methylthioadenosine (MTA). Aerobic MSP consists of six enzymatic steps. The mug14 + and adi1 + genes that are involved in the third and fifth steps of the pathway are repressed when Schizosaccharomyces pombe undergoes a transition from high‐ to low‐iron conditions. Results consistently show that methionine auxotrophic cells ( met6Δ ) require iron for growth in the presence of MTA as the sole source of methionine. Inactivation of the iron‐using protein Adi1 leads to defects in the utilization of MTA. In the case of the third step of the pathway, co‐expression of two distinct proteins, Mta3 and Mde1, is required. These proteins are interdependent to rescue MTA‐dependent growth deficit of met6Δ cells. Coimmunoprecipitation experiments showed that Mta3 is a binding partner of Mde1. Meiotic met6Δ cells co‐expressing mta3 + and mde1 + or mta3 + and mug14 + produce comparable levels of spores in the presence of MTA, revealing that Mde1 and Mug14 share a common function when co‐expressed with Mta3 in sporulating cells. In sum, our findings unveil several novel features of MSP, especially with respect to its regulation by iron and the discovery of a non‐canonical third enzymatic step in the fission 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 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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.019
Threshold uncertainty score0.723

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 head0.007
GPT teacher head0.248
Teacher spread0.241 · 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 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

Citations9
Published2020
Admission routes2
Has abstractyes

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