The draft genome of <i>Ruditapes philippinarum</i> (the Manila clam), a promising model system for mitochondrial biology
Bibliographic record
Abstract
The Class Bivalvia is a highly successful and ancient group including 20,000+ known species. They represent a good model for studying adaptation (anoxia/hypoxia, salinity, temperature, ...), and they are useful bioindicators for monitoring the concentration of pollutants in the water. They also make up an important source of food all over the world, with a production corresponding to ~20% of the global aquaculture yield. A striking feature of bivalves is the presence of an unusual mitochondrial inheritance system: the Doubly Uniparental Inheritance (DUI), so far detected in ~100 bivalve species. In DUI species, two mitochondrial genomes (mtDNAs) are present: one is transmitted through eggs (F-type), the other through sperm (M-type); the amino acid p-distance between conspecific M and F genomes ranges from 10% to over 50%. DUI provides a unique point of view for studying mitochondrial biology. In DUI systems: i) males are naturally heteroplasmic, with very divergent mtDNAs; ii) it is possible to study mitochondrial inheritance and bottleneck by following germ line mitochondria during development; iii) mitochondria are under selection for male functions. Here we present the draft genome of the DUI species Ruditapes philippinarum (the Manila clam). DNA from a male individual was sequenced with 40x Illumina HiSeq and 30x PacBio RSII. The best de novo assembly was obtained with Canu assembler, with contig N50=76kb (86% complete, 5% fragmented, and 9% missing metazoan orthologs according to BUSCO). Here we report the results of the first analyses and the technical challenges we faced, especially with the de novo assembly.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 0.008 |
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".