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Record W2071386503 · doi:10.1139/b08-124

A mutant deficient in<i>S</i>-adenosylhomocysteine hydrolase in<i>Arabidopsis</i>shows defects in root-hair developmentThis paper is one of a selection of papers published in a Special Issue from the National Research Council of Canada – Plant Biotechnology Institute.

2009· article· en· W2071386503 on OpenAlexafffundvenueabout
Xianzhong Wu, Fengling Li, Allan Kolenovsky, Allan Caplan, Yuhai Cui, Adrian J. Cutler, Edward W. T. Tsang

Bibliographic record

VenueBotany · 2009
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant nutrient uptake and metabolism
Canadian institutionsPlant Biotechnology InstituteAgriculture and Agri-Food Canada
FundersNational Research Council CanadaGenome CanadaGenome PrairieGenomic Health
KeywordsMutantBiologyArabidopsisHairlessComplementary DNABiochemistryPhenotypeMethionineGerminationBotanyGeneAmino acid

Abstract

fetched live from OpenAlex

Root-hair development is a process involving the interplay between genetic, hormonal, and environmental factors. An Arabidopsis mutant, referred to as sahh1, was initially recovered from a screen for delayed germination. Molecular characterization of the sahh1 mutant revealed that it contained a T-DNA insertion 82 bp 5′ to the coding sequence of S-adenosylhomocysteine hydrolase 1 (SAHH1, At4g13940), resulting in the reduction of SAHH1 expression. The resulting reduction in expression of SAHH1 produced plants with short, hairless roots, delayed germination, and slow growth. All of these phenotypes were restored to normal by complementing the sahh1 mutant with a full length cDNA. In plants, SAHH1 converts S-adenosylhomocysteine to homocysteine in the activated methyl cycle, and is a precursor for methionine and S-adenosylmethionine. Using the root hairless phenotype of the sahh1 mutant as a visual assay, the effects of SAHH1 deficiency on the synthesis of homocysteine, S-adenosylmethionine, 1-cyclopropane-1-carboxylic acid, and spermidine were investigated.

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)0.002
metaresearch head score (Gemma)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.880
Threshold uncertainty score0.847

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
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 head0.035
GPT teacher head0.221
Teacher spread0.186 · 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

Citations27
Published2009
Admission routes4
Has abstractyes

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