Phylogenetic Reconstruction and Genomic Adaptive Evolution in Siniperca spp.
Bibliographic record
Abstract
Siniperca or Chinese perch is a freshwater fish family indigenous to East Asia, of great economic value and ecological particularity. Though of great significance in aquaculture, the phylogenetic histories of the Siniperca genus are unclear due to morphological convergence and a dearth of molecular data. We rebuilt the genome-wide single-copy orthologous genes-based phylogenetic framework of Siniperca and inferred divergence times between species using a molecular clock model in this study. We further performed comparative genomics to identify expansions of gene families, positive selection signals, and adaptive evolutionary trajectories linked with ecological specialization. Several genetic candidates for environmental tolerance, immune response, and sensory systems were detected, suggesting lineage-specific adaptation to various freshwater environments. This study not only illuminates the phylogenetic history of Siniperca , but also reveals the genetic mechanism of its adaptive divergence, providing theoretical evidence for species conservation, utilization of resources, and molecular breeding in aquaculture.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".