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Record W4405025786 · doi:10.3389/faquc.2024.1496943

Factors associated with disease in farmed and wild salmonids caused by Tenacibaculum maritimum: a scoping review

2024· review· en· W4405025786 on OpenAlex
Rebecca M. Wassmuth, Etienne J. de Jongh, F. Carl Uhland, Richard J. Reid‐Smith, Kelsey Robertson, Simon J. G. Otto

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueFrontiers in Aquaculture · 2024
Typereview
Languageen
FieldImmunology and Microbiology
TopicAquaculture disease management and microbiota
Canadian institutionsPublic Health Agency of CanadaUniversity of GuelphUniversity of CalgaryUniversity of Alberta
Fundersnot available
KeywordsBiologyDisease managementAquacultureDiseaseStockingEcologyFisheryFish <Actinopterygii>MEDLINESystematic reviewMedicine

Abstract

fetched live from OpenAlex

Introduction Yellow mouth disease, caused by Tenacibaculum maritimum , is an important disease of farmed salmonids. Disease management currently necessitates the use of antimicrobials, raising concerns about antimicrobial resistance (AMR) in aquatic and potentially terrestrial environments. Identifying management, production, environmental, and other factors associated with the development of yellow mouth in salmonids will help to elucidate disease control strategies and decrease the economic and environmental burden of its treatment. The objective of this scoping review was to synthesize the available literature to identify factors associated with disease in farmed and wild salmonids from T. maritimum . Methods The scoping review followed the framework outlined in the Joanna Briggs Institute Reviewer’s Manual and PRSIMA-ScR reporting guidelines. The protocol was developed a priori in consultation with a librarian and was used to search Environment Complete ® , Earth, Atmospheric, and Aquatic Science ® , Scopus ® , and Web of Science™ databases on July 21, 2022, and again on April 27, 2023. Articles were included if they focused on T. maritimum infection in salmonids and discussed factors (environmental, management, or other) that impacted the disease and/or organism of interest. Results Twenty-five articles were included for review. Over half were published within the last five years (n=14/25). The included articles revealed a complex interplay of salmonid (host)-specific factors (age/size), management practices (vaccination, marine transfer, stocking density, gill/body abrasion), environmental conditions (water temperature, oxygenation, salinity, algal blooms, vectors), and microbial dynamics (load, co-infections, strain, biofilms, microbiome) influencing T. maritimum infections. Only one study conducted multivariable analysis to understand this complex interplay between the diverse factors that impact infection with T. maritimum . Discussion The review highlights the complex, multifactorial nature of T. maritimum infections, including the interplay of host biology, environmental factors, and pathogen characteristics. A comprehensive approach incorporating both management and environmental components is essential to mitigate T. maritimum infections in salmonid production.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.228
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.024
GPT teacher head0.283
Teacher spread0.260 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it