Molecular detection and analysis of a novel metalloprotease gene of entomopathogenic <i>Serratia marcescens</i> strains in infected <i>Galleria mellonella</i>
Bibliographic record
Abstract
Serratia marcescens strains isolated from entomopathogenic nematodes (Rhabditis sp.) were examined for their pathogenicity and establishment in wax moth (Galleria mellonella) larvae. All the Serratia strains were potently pathogenic to G. mellonella larvae, leading to death within 48 h. The strains were shown to possess a metalloprotease gene encoding for a novel serralysin-like protein. Rapid establishment of the bacteria in infected larvae was confirmed by specific polymerase chain reaction (PCR) detection of a DNA fragment encoding for this protein. Detection of the viable Serratia strains in infected larvae was validated using the SYBR Green reverse transcriptase real-time PCR assay targeting the metalloprotease gene. Nucleotide sequences of the metalloprotease gene obtained in our study showed 72 single nucleotide polymorphisms (SNP) and 3 insertions compared with the metalloprotease gene of S. marcescens E-15. The metalloprotease gene had 60 synonymous and 8 nonsynonymous substitutions relative to the closest GenBank entry, S. marcescens E-15. A comparison of the amino acid composition of the new serralysin-like protein with that of the serralysin protein of S. marcescens E-15 revealed differences at 11 positions and a new aspartic acid residue. Analysis of the effect of protein variation suggests that a new aspartic acid residue resulting from nonsynonymous nucleotide mutations in the protein structure could have the most significant effect on its biological function. The new metalloprotease gene and (or) its product could have applications in plant agricultural biotechnology.
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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".