Working Group on Pathology and Diseases of Marine Organisms (WGPDMO; outputs from 2024 meeting)
Notice bibliographique
Résumé
The Working Group on Pathology and Diseases of Marine Organisms (WGPDMO) reviews and reports on the health challenges affecting wild and cultured marine species, including finfish, shellfish, and crustaceans, within the ICES area. This report highlights key disease trends based on data from 14 ICES Member Countries. The last hybrid meeting of this group was in 2023, they met online late in 2024. This report summarizes the information presented during the 2023 WGPDMO expert group meeting covering trend data for the calendar years 2021 and 2022 (ToRa) and notes progress on ToRs b to e (2022–2024).Key findings highlighted in this report include the following:<b>Farmed Fish:</b>Viral infections, such as recurring outbreaks of Infectious Salmon Anaemia Virus (ISAV) in the North Atlantic, continue to pose significant threats.In eastern Canada the first reported virulent ISAV with a full, undeleted highly polymorphic region (HPR0) was detected.The emergence of <i>Cyclopterus lumpus</i> virus in lumpfish highlights the growing complexity of aquaculture health management.Sea lice infestations and complex gill disease remain critical challenges, impacting productivity in salmon farming operations.Bacterial pathogens, including <i>Moritella viscosa</i> and <i>Aeromonas salmonicida</i>, have exhibited changing bacterial variants patterns. Bacterial infections are common secondary to delousing, and an increasing problem in Norway and Scotland.<b>Wild Fish:</b>The geographic expansion of "red skin disease" in Atlantic salmon and the reappearance of Eel rhabdovirus in England signal ongoing threats to wild stocks.Increasing trends in parasitic infections, such as <i>Anisakis simplex</i> in herring, <i>Contracaecum osculatum </i>in cod and the presence of granulomas in cod livers suggest broader environmental and ecological impacts.The increase in observations of Black spot syndrome, a condition of unknown aetiology, resulting in dermal degradation in Rock cook (<i>Centrolabrus exoletus</i>) in Norway and occasional observations in other wrasse species (Goldsinny, corkwing and cuckoo), warrants further investigation.Similarly increased observations of granulomas in mackerel, some of which are associated with mycobacterial infection should be investigated to understand implications.<b>Molluscs and Crustaceans:</b>Following its detection in blue mussels in France in 2020, <i>Francisella halioticida</i> has now been described in blue mussels undergoing mortality in the Netherlands. Work to address increasing concern from this is ongoing.Putative infection of European flat oysters in England by a novel herpes-like virus should be the focus of further study.<b>Recommendations</b>1. <b>Enhanced Surveillance:</b> Reduction across national budgets for marine surveillance and disease data collection is having an impact on ability to provide information and advice. Regular monitoring and pathogen characterization should be expanded to detect emerging threats promptly.2. <b>Biosecurity Improvements:</b> Implementing stricter controls on the movement of aquatic species and farmed stock can mitigate the spread of diseases.3. <b>Research and Development:</b> Increased focus on vaccine development and selective breeding for disease resistance, especially for bacterial and viral pathogens, affecting aquaculture species, is critical.4. <b>Integrated Management Strategies:</b> Collaboration across ICES countries to develop holistic approaches addressing environmental factors, pathogen management, and species health is highly desirable.These findings highlight the urgency of addressing disease challenges in marine environments to support sustainable aquaculture and wild stock conservation; underscoring the importance of continued surveillance, biosecurity, and coordinated efforts to address emerging diseases in marine organisms.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,002 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».