Ľubomír Pojezdal

Dr. Ľubomír Pojezdal

Veterinary Research Institute, Hudcova 70, 62100, Brno, Czech Republic

Research Focus & Metrics

Academic Career Length

10Years (2017-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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24 July 2020 in Pathogens
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Journal Article
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ĽPĽubomír Pojezdal
Ľubomír Pojezdal
MAMikolaj Adamek
Mikolaj Adamek
ESEva Syrová
Eva Syrová
DSDieter Steinhagen
Dieter Steinhagen
HMHana Minarova
Hana Minarova
MPMiroslava Palíková
Miroslava Palíková
The population of brown trout (Salmo trutta fario) in continental Europe is on the decline, with infectious diseases confirmed as one of the causative factors. However, no data on the epizootiological situation of wild fish in the Czech Republic are currently available. In this study, brown trout (n = 260) from eight rivers were examined for the presence of viral and parasitical pathogens. Salmonid alphavirus-2, infectious pancreatic necrosis virus, piscine novirhabdovirus (VHSV) and salmonid novirhabdovirus (IHNV) were not detected using PCR. Cell culturing showed no viruses as well, and serological analysis of 110 sera did not detect any specific antibodies against VHSV or IHNV. Fish from two rivers were positive for the presence of piscine orthoreovirus-3 (PRV-3), subtype PRV-3b. However, none of the PRV-3-positive fish showed gross pathologies typically associated with PRV infections. By far the most widespread pathogen was Tetracapsuloides bryosalmonae which was confirmed in each of the examined locations, with a prevalence of up to 65% and 100%, as established by immunohistochemistry and PCR, respectively. Furthermore, up to 43.8% of fish showed signs of proliferative kidney disease caused by T. bryosalmonae, suggesting that this parasite is a main health challenge for brown trout in the Czech Republic.

25 April 2023 in Viruses
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IPIvana Papežíková
Ivana Papežíková
VPVeronika Piačková
Veronika Piačková
IDIva Dyková
Iva Dyková
ABAli Asghar Baloch
Ali Asghar Baloch
HKHana Kocour Kroupová
Hana Kocour Kroupová
MPMiroslava Palíková
Miroslava Palíková
In the present study, we describe a natural outbreak of carp edema virus disease (CEVD) in koi carp, concentrating on clinical manifestation, gross and microscopic pathology, immunological parameters, viral diagnostics, and phylogenetic analysis. Examination of white blood cell parameters showed increased monocyte and decreased lymphocyte counts in CEV-affected fish compared to healthy control fish. Regarding immune system functioning, the present work shows, for the first time, enhanced phagocytic activity in CEV-affected fish. Respiratory burst of phagocytes was strongly increased in diseased fish, the increase being attributed to an increased phagocyte count rather than enhancement of their metabolic activity. The present work also newly shows histopathological changes in the pancreatic tissue of diseased koi.

23 November 2017 in Acta Veterinaria Brno
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Journal Article
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ĽPĽubomír Pojezdal
Ľubomír Pojezdal
DPDagmar Pokorová
Dagmar Pokorová
SRStanislava Reschová
Stanislava Reschová
MPMiroslava Palíková
Miroslava Palíková
MVMonika Vícenová
Monika Vícenová
SNStanislav Navrátil
Stanislav Navrátil
The diagnostic properties of the one-step real-time reverse-transcription polymerase chain reaction assay for viral haemorrhagic septicaemia virus detection were compared to methods currently in use in the Czech Republic, namely, virus isolation using the cell culture and conventional reverse-transcription polymerase chain reaction followed by the nested polymerase chain reaction. The assays were tested on a panel of 25 archived viral haemorrhagic septicaemia isolates and 8 archived infectious haematopoietic necrosis isolates obtained from monitoring and/or outbreaks of the diseases among farmed salmonids in the Czech Republic. The ability to detect the presence of the virus in the tissues of fish was tested on additional 32 field samples collected from the rainbow trout ( Oncorhynchus mykiss ), brown trout ( Salmo trutta ) and brook trout ( Salvelinus fontinalis ). The real-time assay showed the highest analytic sensitivity by detecting the presence of viral nucleic acid in samples with 10 -7 dilution, whereas the sensitivity of the conventional polymerase chain reaction peaked at 10 -5 . Diagnostic specificity of both molecular assays was confirmed by absence of cross-reactivity with the infectious haematopoietic necrosis virus isolates. This, along with consistent results in the detection of the virus in the fish tissues, confirms that the one-step real-time reverse-transcription polymerase chain reaction is currently an optimal stand-alone diagnostic method for the detection of the viral haemorrhagic septicaemia virus.

16 April 2019 in bioRxiv
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CPChristos Palaiokostas
Christos Palaiokostas
TVTomas Vesely
Tomas Vesely
MKMartin Kocour
Martin Kocour
MPMartin Prchal
Martin Prchal
DPDagmar Pokorova
Dagmar Pokorova
RHRoss D. Houston
Ross D. Houston
Genomic selection (GS) is increasingly applied in breeding programmes of major aquaculture species, enabling improved prediction accuracy and genetic gain compared to pedigree-based approaches. Koi Herpesvirus disease (KHVD) is notifiable by the World Organisation for Animal Health and the European Union, causing major economic losses to carp production. Genomic selection has potential to breed carp with improved resistance to KHVD, thereby contributing to disease control. In the current study, Restriction-site Associated DNA sequencing (RAD-seq) was applied on a population of 1,425 common carp juveniles which had been challenged with Koi herpes virus, followed by sampling of survivors and mortalities. Genomic selection (GS) was tested on a wide range of scenarios by varying both SNP densities and the genetic relationships between training and validation sets. The accuracy of correctly identifying KHVD resistant animals using genomic selection was between 8 and 18 % higher than pedigree best linear unbiased predictor (pBLUP) depending on the tested scenario. Furthermore, minor decreases in prediction accuracy were observed with decreased SNP density. However, the genetic relationship between the training and validation sets was a key factor in the efficacy of genomic prediction of KHVD resistance in carp, with substantially lower prediction accuracy when the relationships between the training and validation sets did not contain close relatives.