Recovery of novel alkaline phosphatase-encoding genes (<i>phoX</i>) from eutrophic Lake Taihu
Bibliographic record
Abstract
To expand current knowledge on the molecular aspects of alkaline phosphatase PhoX in shallow eutrophic freshwaters, we investigated the genetic diversity and abundance of the PhoX-encoding gene (phoX) in 4 ecological regions in Lake Taihu, China, following a gradient in total phosphorus concentrations ranging from hypereutrophic to mesotrophic. Bacterial phoX was heterogeneously distributed with the highest diversity in the eutrophic regions and the highest abundance in the mesotrophic Xukou Bay. The concentrations of total phosphorus and enzymatically hydrolyzable phosphorus determined the distribution of bacterial phoX in Lake Taihu. Most (70.8%) of the phoX-translated proteins had <90% similarity to the PhoX proteins in the GenBank database, suggesting the presence of novel phoX genotypes in Lake Taihu. The low overlap in phoX genotypes (15.8%) between Lake Taihu and some marine ecosystems, and the dominance of the translated proteins most similar to the Alphaproteobacteria-affiliated PhoX, demonstrate the uniqueness of PhoX in eutrophic freshwaters.
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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 | 0.001 | 0.001 |
| 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".