GENETIC STRUCTURES OF CHYDORUS SPHAERICUS POPULATIONS FROM LAKE DONGHU, WUHAN
Bibliographic record
Abstract
To estimate the possible influence of the artificial embankments on the genetic structure of Chydorus sphaericus in Lake Donghu, the COⅠgene of C. sphaericus from Lake Donghu, Wuhan, was analyzed with classical DNA sequencing. The results showed that C. sphaericus collected from seven sampling sites at Lake Donghu were not classified into different groups. Both global test and pairwise difference test indicated that there was no remarkable inheritance difference among seven C. sphaericus populations. The N-J tree indicated that COⅠgene of C. sphaericus from Lake Donghu was clustered into one group and those from different regions were clustered into different groups except Lake Kookatsoon, Yukon Territory, which were clustered into the Lake Donghu group. The correlation analysis between pairwise distances of COⅠgene sequences of C. sphaericus and geography distances among sampling sites showed that there were distance-decay relationships regardless within Lake Donghu or in larger scales. This result indicated that there was distribution restriction in C. sphaericus populations. In conclusion, the artificial embankments in Lake Donghu that were built 50 years ago did not cause remarkable influence on the genetic structure of C. sphaericus population in Lake Donghu. The relatively strong passive diffusivity of C. sphaericus in small scales may be one of the reasons that neutralized the influence of the artificial embankments on the population genetic structure.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.005 | 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 teacher head, 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".