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.
Bibliographic record
Abstract
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 machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".