Cloning, characterization and expression analysis of a 1-aminocyclopropane-1-carboxylate synthase gene from pear
Bibliographic record
Abstract
Shi, H., Zhang, Y. and Chen, L. 2013. Cloning, characterization and expression analysis of a 1-aminocyclopropane-1-carboxylate synthase gene from pear. Can. J. Plant Sci. 93: 465–471. In this study, a cDNA clone encoding putative 1-aminocyclopropane-1-carboxylate (ACC) synthase (ACS) that catalyzes the conversion of S-adenosyl-L-methionine to ACC in ethylene biosynthetic pathway was isolated from a cDNA library produced using mRNA from pear (Pyrus pyrifolia). The cDNA clone, designated PpACS2, comprised an open reading frame of 1, 341 bp encoding a protein of 446 amino acids that shares high similarity with the known plant ACSs. Using PCR amplification technique, a genomic clone (GenBank accession number: KC146402) corresponding to PpACS2 was isolated and shown to contain two introns. The PpACS2 gene product shared 97% identity with an ACC synthase from pear (Pyrus communis). Phylogenetic analyses clearly placed the gene product in the ACC synthase cluster of plant ACS superfamily tree. Quantitative RT-PCR analysis indicated that the PpACS2 gene was preferentially expressed in young pear leaves and shoots. The transcript of PpACS2 gene was accumulated at relatively high levels in anthers, but no signal was detected in the petals and mesocarp of pear. These results suggest that the PpACS2 may participate in the regulation of ethylene production in pear leaves, shoots, and anthers.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".