Comparative Studies of Structure and Regulatory Genes Controlling Pectinase Expression in Soft Rot Pectobacterium carotovorum NM-NRC;-Multistep Mutagenesis, Purification and Molecular Docking Studies For the Over-Production of Pectinase
Bibliographic record
Abstract
In this study, the pectinase activity investigated and assessed of 50 bacterial strains isolated from various rotting fruits and vegetables. Isolate No. 10, which measured 52.42 U/ml had the highest activity, was identified molecularly using the 16Sr DNA gene as Pectobacterium carotovorum subsp. carotovorum NM-NRC and deposited in the NCBI database with accession number OQ256290. Successive mutagenesis was performed utilizing ultraviolet, ethyl methansulfonate, and ethidium bromide for Pectobacterium carotovorum NM-NRC. A mutants assigned as Pectobacterium carotovorum E-36, displayed pectinase actions of 136.24 U/ml. To optimize the ideal conditions for pectinase expression, applied the Reaction Surface Strategy (RSM) to Pectobacterium carotovorum NM-NRC mutant E-36. The most significant pectinase-specific activity of 214.34 U/ml was under culture conditions of pH 9, 72 hours of hatching, and 2.5% lactose and 0.5% malt extract as carbon and nitrogen sources, respectively.Two pectinase isoenzymes (PecI and PecII) mutant E-36 have been isolated to homogeneity. Using SDS-PAGE electrophoresis, the primary isoenzyme PecII demonstrated molecular weight of 37 kDa. The 3D structure of the modeled polygalacturonase (PGase), pectate lyase (PL) and pectinesterase (PE) and regulatory gene (KdgR) proteins was validated using Ramachandran’s plot, which indicated that a high percentage were in the most favored region of the amino acid residues and docking studies revealed optimal binding affinities of the PGase, PL, PE and KdgR proteins with pectin substrate that was with high values of affinity score for the template strain Pectobacterium carotovorum strain PCC21, strain Pectobacterium NM-NRC and mutant Pectobacterium NM-NRC E-36; respectively.
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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) | 0.000 | 0.000 |
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".