Expression and characterization of a novel heterologous moderately thermostable lipase derived from metagenomics in Streptomyces lividans
Bibliographic record
Abstract
Seven lipolytic genes were isolated and sequenced from a metagenomic library that was constructed following biomass enrichment in a fed-batch bioreactor submitted to high temperature (50-70 degrees C) and alkaline pH (7-8.5). Among those sequences, lipIAF1-6 was chosen for further study and cloned in Streptomyces lividans 10-164. The G+C content within the sequence was 64.3%. The encoded protein, LipIAF1-6, was related to various putative lipases previously identified in different genome sequences. Homology of LipIAF-6 with the different lipases did not exceed 31%. The optimum pH (8.5) and temperature (60 degrees C) of the purified enzyme were in agreement with the enrichment conditions. Furthermore, the enzyme was thermostable for as long as 30 min at 70 degrees C. The maximum activity of the purified lipase was 4,287 IU/mg towards p-nitrophenyl (p-NP) butyrate (60 degrees C; pH 8.5). LipIAF1-6 does not seem to need the presence of metal ions for its activity. The enzyme was slightly inhibited by 10 mM CoCl2 (14%), HgCl2 (12%), and dithiothreitol (DTT) (15%). The serine protease inhibitor phenylmethylsulphonyl fluoride (PMSF) reduced activity by 39% and 71% when incubated at concentrations of 1 and 10 mM, respectively. Finally, LipIAF1-6 was stable in different organic solvents, and against several surfactants and oxidative agents commonly found in detergent formulations. These results are quite encouraging for further use of this enzyme in different industrial processes.
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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 | 0.001 | 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".