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Record W2039952369 · doi:10.4161/psb.3.12.7007

The mitochondrial connection

2008· article· en· W2039952369 on OpenAlexaff
Alejandro Tovar‐Méndez, Christopher D. Todd, Joe C. Polacco

Bibliographic record

VenuePlant Signaling & Behavior · 2008
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPolyamine Metabolism and Applications
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsArginaseBiologyArginineBiochemistryMutantPolyamineArginine decarboxylaseOrnithineAuxinEnzymeOrnithine aminotransferaseMitochondrionCatabolismArgininosuccinate synthaseCell biologyOrnithine decarboxylaseAmino acidGene

Abstract

fetched live from OpenAlex

Arg catabolism to cytoplasmic urea and glutamate is initiated by two mitochondrial enzymes, arginase and ornithine aminotransferase. Mutation of either enzyme leads to Arg sensitivity, and at least in the former, an arginine-induced seedling morphology similar to exogenous auxin treatment. We reported that single mutants lacking either of two arginase isozymes exhibited more NO accumulation and efflux, increased responses to auxin (measured by DR5 reporter expression and auxin-induced lateral roots). We discuss evidence for stimulation of NO by arginine, either directly, or via polyamines derived from arginine. We favor the "direct" route because mitochondria are sites of NO 'hot spots,' and the location of arginine-degrading enzymes and the NO-associated protein1. The polyamine "branch" invokes more than one cell compartment, at least two intermediates (polyamines and H2O2) between Arg and NO, and is not consistent with enhanced lateral root formation in arginine decarboxylase mutants.Genetic tools are at our disposal to test the two possible routes of arginine-derived NO. Addendum to: Flores T, Todd CD, Tovar-Mendez A, Dhanoa PK, Correa-Aragunde N, Hoyos ME, Brownfield DM, Mullen RT, Lamattina L, Polacco JC. Arginase-negative mutants exhibit increased NO signaling in root development. Plant Physiol 2008; 147:1937-46.

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 score0.241
Threshold uncertainty score0.308

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 head0.019
GPT teacher head0.246
Teacher spread0.228 · 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
Published2008
Admission routes1
Has abstractyes

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