The mitogenome of Paphia euglypta (Bivalvia: Veneridae) and comparative mitogenomic analyses of three venerids
Bibliographic record
Abstract
Extraordinary variation has been found in mitochondrial (mt) genome inheritance, gene content and arrangement among bivalves. However, only few bivalve mt genomes have been comparatively analyzed to infer their evolutionary scenarios. In this study, the complete mt genome of the venerid Paphia euglypta (Bivalvia: Veneridae) was firstly studied and, secondly, it was comparatively analyzed with other venerids (e.g., Venerupis philippinarum and Meretrix petechialis) to better understand the mt genome evolution within a family. Though several common features such as the AT content, codon usage of protein-coding genes, and AT/GC skew are shared by the three venerids, a high level of variability is observed in genome size, gene content, gene order, arrangements and primary sequence of nucleotides or amino acids. Most of the gene rearrangement can be explained by the "tandem duplication and random loss" model. From the observed rearrangement patterns, we speculate that block interchange between adjacent genes may be common in the evolution of mt genomes in venerids. Furthermore, this study presents several new findings in mt genome annotation of V. philippinarum and M. petechialis, and hence we have reannotated the genome of these two species as: (1) the ORF of the formerly annotated cox2 gene in V. philippinarum is deduced by using a truncated "T" codon and a second cox2 gene is identified; (2) the trnS-AGN gene is identified and marked in the mt genome of both venerids. Thus, this study demonstrated a high variability of mt genomes in the Veneridae, and showed the importance of comparative mt genome analysis to interpret the evolution of the bivalve mt genome.
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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 | 0.000 |
| 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) | 0.001 | 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".