Data from: "De novo assembly transcriptome for the rostrum dace (Leuciscus burdigalensis, Cyprinidae: fish) naturally infected by a copepod ectoparasite" in Genomic Resources Notes accepted 1 December 2014 to 31 January 2015
Bibliographic record
Abstract
The emergence of pathogens represents substantial threats to public health, livestock, domesticated animals, and biodiversity. How wild populations respond to emerging pathogens has generated a lot of interest in the last two decades. With the recent advent of high-throughput sequencing technologies it is now possible to develop large transcriptomic resources for non-model organisms, hence allowing new research avenues on the immune responses of hosts from a large taxonomic spectra. We here focused on a wild population of the rostrum dace (Leuciscus burgiladensis) that is infected by Tracheliastes polycolpus, an emerging freshwater ectoparasite copepod. We used next generation Illumina sequencing technology to sequence the transcriptome of eight L. burdigalensis adult individuals collected in natura from the same sampling site. Four individuals were non-infected and four individuals were infected by T. polycolpus. We specifically focused on the spleen, the head kidney and epithelial cells and mucus from the fins, three tissues known to be involved in the immune response of fish. We used the Trinity methodology to reconstruct a de novo full-length transcriptome for L. burdigalensis. The resulting transcriptome will serve as an important broad-scale genomic resource for further studying the response of local population of L. burdigalensis to T. polycolpus pressures.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.066 | 0.030 |
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".