Spatial distribution of bacterial communities in sediment of a eutrophic lake revealed by denaturing gradient gel electrophoresis and multivariate analysis
Bibliographic record
Abstract
Bacterial community structure and the effects of several environmental factors on the microbial community distribution were investigated in the sediment of the eutrophic Lake Xuanwu. Profiles of bacterial communities were generated using denaturing gradient gel electrophoresis (DGGE), and the results were interpreted with multivariate statistical analysis. Five major variables in sediment were examined in a principal component analysis, which indicates notable differences of physicochemical parameters among different sites of the lake. To assess changes in the genetic diversity of bacterial communities of different sampling sites, DGGE band patterns were analyzed by multidimensional scaling analysis, which indicated that sampling sites having similar environmental characteristics also have the similar microbial communities. Canonical correspondence analysis demonstrated that pH and redox potential had significant effects on the bacterial community composition in the sediments. Analysis of DNA sequences revealed that the dominant bacterial groups in Lake Xuanwu belonged to Proteobacteria, Actinobacteria, Verrucomicrobia, and Nitrospirae, which are commonly isolated from freshwater ecosystems.
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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".