Identification and Characterisation of a Bryophyte Polyphenol Oxidase Encoding Gene from <i>Physcomitrella patens</i>
Bibliographic record
Abstract
Polyphenol oxidases (PPO) are enzymes of secondary plant metabolism that catalyse the oxidation of polyphenols to quinones. Because of their ubiquitous appearance in the plant kingdom, an important role is assumed; however, the exact physiological function of PPOs remains unclear. In this work, the identification, cloning, and characterisation of a bryophyte PPO from the moss Physcomitrella patens is presented. PPO activity from protein extracts was determined polarographically after activation by SDS. Four Physcomitrella ESTs with homologies to known plant PPOs were selected from publicly accessible databases, and PCR experiments demonstrated that they belong to the same gene, named Pp_ppo1. The identified cDNA was found to be 2402 bp long, containing a single open reading frame of 1611 bp encoding for a 536 amino acid protein with a molecular mass of 60.1 kDa. Cloning and sequencing of a genomic part of Pp_ppo1 revealed the presence of a 94-bp intron. The time course of Pp_ppo1 gene expression in liquid culture was monitored by real time RT-PCR, revealing increasing transcription levels until the 4th day, a maximum between the 4th and the 8th day, and decreasing transcription until the 12th day. A comparison of the deduced amino acid sequence of Pp_ppo1 with seed plant PPOs revealed similarities such as the presence of two highly conserved copper-binding domains and a similar pattern of hydrophobic regions, but also differences such as a stronger membrane association and a shorter signal sequence, thus reflecting the phylogenetic distance of Physcomitrella from seed plants.
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) | 0.000 | 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".