Cloning and Expression Analysis of Phytoene Desaturase (PDS) Gene from Mango (<i>Mangifera indica</i> L)
Bibliographic record
Abstract
Phytoene desaturase (PDS) affects the synthesis of carotenoids. It is a key gene in the carotenoids biosynthesis pathway. In order to study the function of PDS gene from mango fruits, the phytoene dehydrogenase ( PDS ) gene of ‘Guifei’ mango fruit was obtained with RACE methods. The full-length cDNA sequence of the gene is 1 820 bp, open reading frame is 1 650 bp, encoding 549 amino acids, the molecular weight is 61.34 KD, and the isoelectric point is 6.78. It was cluster analysis found that the mango PDS protein had a close relationship with grapefruit, cantaloupe, and papaya. Its amino acid composition is mainly alanine (ALa), leucine (Leu), valine (Val), and so on. Expression of PDS gene in different varieties by PCR showed: the high expression of the red ‘Guifei’ varieties and the expression of green mango varieties with low volume. Prediction of the domain, tertiary structure, and interaction protein of its protein, found to contain phytoene-desat, PLNO2487 superfamily, and other domains. The use of the STRING database found PDS interacted with proteins such as PSY, ZDS, and CRTISO. This research will be valuable for understanding the molecular mechanism of gene regulation in carotenoid biosynthesis and can be served as the basis for the metabolic engineering of mango.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".