Transcriptomic Analysis of the Rainbow Trout Response to Single and Co-Infections with Myxobolus cerebralis and Tetracapsuloides bryosalmonae at Sites of Parasite Entry
Bibliographic record
Abstract
Parasitic infections, such as those caused by the myxozoans Myxobolus cerebralis and Tetracapsuloides bryosalmonae, pose major threats to wild and farmed salmonids due to severe tissue damage and impairment of the host immune system. While individual infections have been studied, limited information is available on the host response during co-infection. This study investigated the transcriptomic immune response of rainbow trout (Oncorhynchus mykiss) during single and sequential co-infections with M. cerebralis and T. bryosalmonae using RNA-seq. Trout were exposed to single infections (Mc or Tb) followed by co-infections (Mc+ or Tb+). Fish were sampled at 31 days post-single infection (1 day post-co-infection). RNA from gill and caudal fin (portal of parasite entry) was sequenced, followed by differentially expressed genes (DEGs) identification and GO and KEGG enrichment. In the caudal fin, Mc+ (1 day after co-infection with T. bryosalomne) fish showed mild immune activation with C4B upregulation, while Tb+ fish exhibited a stronger response involving IFI44, ISG15, RSAD2, and TLR7 signaling. In gills, Mc+ fish showed moderate cytokine-related gene upregulation, while Tb+ (1 day after co-infection with M. cerebralis) fish displayed increased expression of humoral response genes (C3, immunoglobulin pathways) but suppression of genes involved in B cell development. These results indicate that the order of infection shapes the outcome of the host immune response, offering candidate targets at the host–pathogen interface.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 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".