Molecular cloning and expression analysis of a zeta-class glutathione S-transferase gene in sugarcane
Bibliographic record
Abstract
Glutathione S-transferases (GSTs) play an important role in stress tolerance in plants. This is the first report of cloning and characterization of a zeta-class GST gene in sugarcane (GenBank Accession number: GQ246461). Sequence analysis showed that the cDNA sequence of Sc-GST gene was 829 bp, contained a 621 bp open reading frame (ORF), the 5’ untranslated region (UTR) of 65 bp and 3’UTR of 143 bp, plus the typical AATAA region and poly (A) tail. It encoded the 206 amino acid residues with a molecular mass of 23.1 KD and isoelectric point of 6.10. Protein domain prediction and multiple sequence alignment demonstrated that the conserved domain in Sc-GST at N-terminus was SSCXXRXRIA, while that at C-terminus was quebec platelet disorder (QPD), both of which were specific for zeta-type GST in eukaryotes. Sodium dodecyl sulfate polyacrylamide gel electrophoresis (SDS-PAGE) analysis and enzyme activity assay indicated that the prokaryotic expression product was a fusion protein with a molecular weight of about 30 KD, which also possessed GST enzyme activity. It was revealed in real-time quantitative polymerase chain reaction (qPCR) analysis that the Sc-GST gene had induced expression under H 2 O 2 and Ustilago scitaminea stresses, while it was inhibited and then induced by salicylic acid (SA) stress, suggesting that it is a type of stress-tolerant gene playing a certain role in sugarcane resistance response. Key words: Saccharum officinarum, glutathione S-transferase, homology, prokaryotic expression, real-time quantitative PCR.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 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".