Genomic Insights into Hypoxia Tolerance Mechanisms in Channa spp.
Bibliographic record
Abstract
The study summarizes the current genomic results on how Channa fish adapt to hypoxia. We performed high-quality genome assembly and transcriptome analysis on Channa asiatica . The results showed that it has more gene families related to oxygen binding and transport. When it is exposed to air, many pathways related to oxidative stress are activated. This shows that it has the genetic ability to adapt to hypoxia and also reveals some of the molecular mechanisms. We also studied gene expression in the liver of Channa striatus under long-term hypoxia. We found that many genes involved in transcription, translation, signal transduction, electron transport and immune response were activated. Several transcripts related to hypoxia tolerance were also identified, such as heat shock protein 90 and fatty acid binding protein, and we also obtained their complete sequences. These research results provide important genomic and transcriptome resources, which will help us to better understand how Channa fish adapt to low oxygen environments. At the same time, it also lays a foundation for future research on hypoxia tolerance breeding and ecological adaptation.
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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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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 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".