Insights into American lobster (Homarus americanus) defence mechanisms against Vibrio splendidus
Bibliographic record
Abstract
Members of the Vibrio genus are widespread, Gram-negative, facultatively anaerobic, heterotrophic bacteria that inhabit many aquatic environments and contribute to nutrient cycling. They display different lifestyles, living freely in the water column, residing in sediments, or forming associations with other organisms, including as constituents of the crustacean gut microbiota. While some Vibrio species form mutualistic symbioses, others act as pathogens, causing vibriosis and significant mortality in marine fish and/or shellfish populations. In this study, the American lobster (Homarus americanus) was able to defend itself against Vibrio splendidus, with no mortality observed during the challenge. We performed RNA-Seq analysis of the hepatopancreatic tissue, an important immune organ in crustaceans, to elucidate the molecular mechanisms of this defence response. The expression of over 21,000 genes was measured, where 1250 were identified as differentially expressed. Seventy-two of these differentially expressed genes were annotated as having a role related to host immune or stress response. Of particular significance is the differential expression of several anti-lipopolysaccharide factors (ALFs), pentraxin serum amyloid A-5 protein-like (SAA-5-like), crustacean hyperglycemic hormone (CHH) genes, and other genes involved in signalling pathways, coagulation, and antioxidant defence systems. The distinct regulation of individual ALF and lectin genes may suggest a tailored immune response to V. splendidus. These findings provide novel insights into the molecular mechanisms regulating immune responses in the American lobster and contribute to our broader understanding of host-pathogen interactions in marine crustaceans.
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".