<i>De Novo</i> Genome Sequence Assembly of the RNAi-Tractable <i>Paramecium bursaria</i> 186b: An Endosymbiotic Model System
Bibliographic record
Abstract
How two species engage in stable endosymbiosis is a biological quandary. The study of facultative endosymbiotic interactions has emerged as a useful approach to understand how endosymbiotic functions can arise. The ciliate protist Paramecium bursaria hosts green algae of the order Chlorellales in a facultative photo-endosymbiosis. We have recently reported RNAi as a tool for understanding gene function in P. bursaria 186b (CCAP strain 1660/18). To complement this work, here we report a near complete host genome and transcriptome sequence dataset, using both Illumina and PacBio sequencing methods, in order to aid genome analysis and to enable the design of RNAi experiments. Our analyses demonstrate P. bursaria 186b, like other ciliates such as diverse species of Paramecia, possess numerous tiny introns. These data patterns, combined with the alternative genetic code common to ciliates, make gene identification and annotation challenging; as such, we identify gene models using Iso-Seq methodologies. These data will aid the investigation of genome evolution in the Paramecia and provide additional source data for the exploration of endosymbiotic functions.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.003 |
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".