Evidence map›Paper›PMID 41795128›Full record

ArticleJournal of fish diseases2026

Proliferative Kidney Disease and Viral Pathogens in Wild Brown Trout (Salmo trutta) Populations in the Czech Republic.

Miroslava Palíková, Ivana Mikulíková, Tomáš Doležal, Ivana Papežíková, Kateřina Matějíčková, Jitka Motlová, Hana Novotná, Ivona Toulová, Jan Grmela, Anna Šindelářová and 1 more

Abstract read
In one paragraph

Article in Journal of fish diseases, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Miroslava PalíkováDepartment of Ecology and Diseases of Zoo Animals, Game, Fish and Bees, Faculty of Veterinary Hygiene and Ecology, University of Veterinary Sciences Brno, Brno, Czech Republic.
Ivana MikulíkováDepartment of Ecology and Diseases of Zoo Animals, Game, Fish and Bees, Faculty of Veterinary Hygiene and Ecology, University of Veterinary Sciences Brno, Brno, Czech Republic.
Tomáš DoležalDepartment of Zoology, Fisheries and Hydrobiology, Faculty of AgriSciences, Mendel University in Brno, Brno, Czech Republic.ORCID https://orcid.org/0000-0003-4967-8018
Ivana PapežíkováDepartment of Ecology and Diseases of Zoo Animals, Game, Fish and Bees, Faculty of Veterinary Hygiene and Ecology, University of Veterinary Sciences Brno, Brno, Czech Republic.
Kateřina MatějíčkováDepartment of Infectious Diseases and Preventive Medicine, Veterinary Research Institute, Brno, Czech Republic.
Jitka MotlováDepartment of Infectious Diseases and Preventive Medicine, Veterinary Research Institute, Brno, Czech Republic.
Hana NovotnáDepartment of Ecology and Diseases of Zoo Animals, Game, Fish and Bees, Faculty of Veterinary Hygiene and Ecology, University of Veterinary Sciences Brno, Brno, Czech Republic.
Ivona ToulováDepartment of Ecology and Diseases of Zoo Animals, Game, Fish and Bees, Faculty of Veterinary Hygiene and Ecology, University of Veterinary Sciences Brno, Brno, Czech Republic.
Jan GrmelaDepartment of Zoology, Fisheries and Hydrobiology, Faculty of AgriSciences, Mendel University in Brno, Brno, Czech Republic.
Anna ŠindelářováDepartment of Zoology, Fisheries and Hydrobiology, Faculty of AgriSciences, Mendel University in Brno, Brno, Czech Republic.
Ľubomír PojezdalDepartment of Infectious Diseases and Preventive Medicine, Veterinary Research Institute, Brno, Czech Republic.ORCID https://orcid.org/0000-0003-2593-4240

Funding

European Regional Development FundMinistry of Agriculture of the Czech Republic QK23020064The Czech Ministry of Education, Youth and Sports CZ.02.1.01/0.0/0.0/16_019/0000869VETUNI Brno FVHE/Pikula/2025ITA22
6 · The paper itself

Abstract

Populations of wild brown trout (Salmo trutta) have been in long-term decline across Central Europe, including the Czech Republic, with multiple factors, such as habitat alteration, climate change, predation and emerging diseases, implicated. Among the diseases, proliferative kidney disease (PKD), caused by the myxozoan Tetracapsuloides bryosalmonae, has gained increasing attention. Between 2020 and 2024, we investigated the occurrence of T. bryosalmonae and selected viral pathogens in wild brown trout populations from 34 streams (51 sites) across the three major Czech river basins (Elbe, Morava, Odra). In total, 501 fish were examined using pathology and molecular techniques. While T. bryosalmonae DNA was detected in 54.7% of fish and at 74.5% of localities, with highest prevalence in the Elbe basin (63.5%), gross kidney changes consistent with PKD were observed in just 7.4% of individuals. Significant associations were found between parasite occurrence and mean summer water temperature, with positive sites showing higher water temperatures. No mortalities were observed in the wild populations, though subclinical infections were common. Our findings demonstrate that not only is the PKD agent widespread in Czech trout populations but that temperature plays an important role in parasite dynamics, highlighting increasing risks posed by climate change. We suggest that careful fish stocking strategies will be essential in preventing further spread. The viral pathogens Salmonid novirhabdovirus, Piscine novirhabdovirus and Aquabirnavirus salmonidae were not detected, and piscine orthoreovirus genotype 3 was confirmed in two samples from the Odra basin, showing high sequence identity with previously reported Czech isolates.

Indexed as

Fish DiseasesKidney DiseasesMyxozoaParasitic Diseases, AnimalTroutAnimalsCzech RepublicOrthoreovirusPrevalenceRiversclimate changePRV‐3Tetracapsuloides bryosalmonaewild salmonid populations

Identifiers

PMID41795128
PMCPMC13331547

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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.