Cloning of two glutamate dehydrogenase cDNAs from<i>Asparagus officinalis</i>: Sequence analysis and evolutionary implications
Bibliographic record
Abstract
Two different amplification products, termed c1 and c2, showing a high similarity to glutamate dehydrogenase sequences from plants, were obtained from Asparagus officinalis using two degenerated primers and RT-PCR (reverse transcriptase polymerase chain reaction). The genes corresponding to these cDNA clones were designated aspGDHA and aspGDHB. Screening of a cDNA library resulted in the isolation of cDNA clones for aspGDHB only. Analysis of the deduced amino acid (aa) sequence from the full-length cDNA suggests that the gene product contains all regions associated with metabolic function of NAD glutamate dehydrogenase (NAD-GDH). A first phylogenetic analysis including only GDHs from plants suggested that the two GDH genes of A. officinalis arose by an ancient duplication event, pre-dating the divergence of monocots and dicots. Codon usage analysis showed a bias towards A/T ending codons. This tendency is likely due to the biased nucleotide composition of the asparagus genome, rather than to the translational selection for specific codons. Using principal coordinate analysis, the evolutionary relatedness of plant GDHs with homologous sequences from a large spectrum of organisms was investigated. The results showed a closer affinity of plant GDHs to GDHs of thermophilic archaebacterial and eubacterial species, when compared to those of unicellular eukaryotic fungi. Sequence analysis at specific amino acid signatures, known to affect the thermal stability of GDH, and assays of enzyme activity at non-physiological temperatures, showed a greater adaptation to heat-stress conditions for the asparagus and tobacco enzymes compared with the Saccharomyces cerevisiae enzyme.
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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) | 0.000 | 0.001 |
| 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 | 0.001 |
| 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".