Evidence map›Paper›PMID 39676448›Full record

ArticleJournal of fish diseases2025

First Report of 'Soft Flesh' Induced by the Parasite Kudoa thyrsites (Myxosporea) in Commercial Codfish From Norway.

Lucilla Giulietti, Arne Levsen, Miguel Bao, Egil Karlsbakk, Julia E Storesund, Hui-Shan Tung, Paolo Cipriani

Abstract read
In one paragraph

Article in Journal of fish diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Lucilla GiuliettiInstitute of Marine Research, Bergen, Norway.ORCID https://orcid.org/0000-0003-1091-6429
Arne LevsenInstitute of Marine Research, Bergen, Norway.
Miguel BaoInstitute of Marine Research, Bergen, Norway.
Egil KarlsbakkInstitute of Marine Research, Bergen, Norway.
Julia E StoresundInstitute of Marine Research, Bergen, Norway.ORCID https://orcid.org/0000-0003-4618-2324
Hui-Shan TungInstitute of Marine Research, Bergen, Norway.
Paolo CiprianiInstitute of Marine Research, Bergen, Norway.

Funding

FiskeriforskningsavgiftenHavforskningsinstituttet
6 · The paper itself

Abstract

Kudoa thyrsites is a myxosporean parasite that infects the skeletal muscle of various teleost fish species globally. Severe infections lead to 'soft flesh' in fish fillets, resulting in food spoilage and subsequent discard. While K. thyrsites has previously been identified in migratory Atlantic mackerel in the northern Northeast Atlantic Ocean, it has not been observed in resident or farmed fish species in Norwegian waters until now. This study presents the first evidence of K. thyrsites infection and the associated 'soft flesh' condition in resident commercially important gadoid species from Norwegian waters, including Norwegian coastal cod (NCC), Northeast Arctic cod (NEA) and tusk. Molecular analyses confirmed the parasitic infection in 'soft flesh'-affected fish sampled from multiple coastal locations in Norway. The life cycle of Kudoa remains unknown but likely involves an alternating annelid host as in other myxosporeans. These findings in resident hosts suggest that the parasite completes its life cycle also at higher latitudes, in northern Norway. Consequently, there is a risk for the Norwegian fishing industry, as the effect of the parasite on fish fillet texture can occasionally occur and impact both consumer acceptance and industry revenues.

Indexed as

Fish DiseasesGadiformesMyxozoaParasitic Diseases, AnimalAnimalsNorwayBrosme brosmecodcodfishGadus morhuaKudoa thyrsitessoft fleshtusk

Identifiers

PMID39676448
PMCPMC11907682

What OpenQuestion holds

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LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.