Pavel Beran

Dr. Pavel Beran

orcid

Research Focus & Metrics

Academic Career Length

17Years (2010-Present)

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

Representative Publications

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23 March 2021 in Bioinformatics
Verified
Journal Article
Open access
PDF file
PBPavel Beran
Pavel Beran
DSDagmar Stehlíková
Dagmar Stehlíková
SCStephen P Cohen
Stephen P Cohen
VČVladislav Čurn
Vladislav Čurn
Searching for amino acid or nucleic acid sequences unique to one organism may be challenging depending on size of the available datasets. K-mer elimination by cross-reference (KEC) allows users to quickly and easily find unique sequences by providing target and non-target sequences. Due to its speed, it can be used for datasets of genomic size and can be run on desktop or laptop computers with modest specifications. KEC is freely available for non-commercial purposes. Source code and executable binary files compiled for Linux, Mac and Windows can be downloaded from https://github.com/berybox/KEC. Supplementary data are available at Bioinformatics online.

1 January 2013 in Crop Protection
Verified
Journal Article
Closed access
PBPavel Beran
Pavel Beran
IMIvan Mráz
Ivan Mráz

1 January 2020 in Crop Protection
Verified
Journal Article
Closed access
JPJakub Pečenka
Jakub Pečenka
MKMária Kocanová
Mária Kocanová
MBMiroslav Baranek
Miroslav Baranek
Filip GazdikFilip Gazdik
Filip Gazdik
LRLucia Ragasová
Lucia Ragasová
Ales EichmeierAles Eichmeier
Ales Eichmeier

23 October 2014 in European Journal of Plant Pathology
Verified
Journal Article
Closed access
PDF file
PBPavel Beran
Pavel Beran
IMIvan Mraz
Ivan Mraz
BKBlanka Kokoskova
Blanka Kokoskova
ABAndrea Bohata
Andrea Bohata

1 June 2023 in Plant Disease
Verified
Journal Article
Closed access
PBPavel Beran
Pavel Beran
DSDagmar Stehlikova
Dagmar Stehlikova
SCStephen Cohen
Stephen Cohen
MRMichael Rost
Michael Rost
KBKristina Beranova
Kristina Beranova
VCVladislav Curn
Vladislav Curn
Xanthomonas euvesicatoria and X. vesicatoria are two economically important causal agents of bacterial spot (BS) of tomato and pepper. Management of BS in the field requires rapid and accurate detection. Therefore, this work aimed to develop a pipeline to design a simple, fast, and reliable assay for the detection of X. euvesicatoria and X. vesicatoria by loop-mediated isothermal amplification. In total, 109 publicly available whole genomic sequences of 24 different species of bacterial pathogens were used to design primers that would amplify the DNA of the two target species. Laboratory testing of the assay was performed on pure bacterial cultures and artificially infected plants, and amplification was conducted with both a sophisticated laboratory instrument and a simple mobile platform. The testing of the assay confirmed its specificity with a sensitivity reaching 1 pg µl−1 for both pathogens with an assay duration of 40 min on a mobile detection platform. Our diagnostics development pipeline enables the easy and fast design of a reliable detection assay in the genomics age. By validating the pipeline with X. euvesicatoria and X. vesicatoria pathogens, we have simultaneously developed an assay with high specificity, sensitivity, and speed, which will allow it to be deployed, contributing to successful management of BS.

15 October 2024 in Poultry Science
Verified
Journal Article
Open access
KBKristina Beranova
Kristina Beranova
EJEva Jozová
Eva Jozová
VAVojtech Anderle
Vojtech Anderle
MRMichael Rost
Michael Rost
LZLukáš Zita
Lukáš Zita
MTMilan Tyller
Milan Tyller
In recent decades, interest in non-traditionally colored eggs has increased. For breeders, this market interest means breeding lines of laying hens that lay eggs of varied colors, such as the blue-green eggshells (Dominant Greenshell) in this study. This study presents the results of genotyping the polymorphism of the O locus responsible for shell coloration and photometric measurement of eggshell color based on the CIELAb system, which was carried out on the unique Czech breeding population Dominant Greenshell. The aim was to use a combination of phenotyping using the CIELab System method and genotyping of the O locus using the end-point PCR approach with the main focus on the accuracy of distinguishing shell color genotypes, streamlining the selection of dominant homozygotes in the O locus, optimizing this technology for the most efficient and cost-effective selection procedure in practical hen breeding. The optometric method was able to reliably distinguish only dominant and recessive phenotypes and eliminate from the population only undesirable recessive homozygotes with a white colored shell. The parameter a* (redness/greenness) from the CIELab color space turned out to be absolutely key for distinguishing dominant and recessive phenotypes. Using the CART methodology, a classification tree built on discriminating optometric characteristics a-blunt was obtained, however, for the group of desirable O/O homozygotes, the selection approach would result in incorrect genotyping of 31% of individuals. Therefore, a combined approach based on rapid and simple elimination of recessive homozygotes using phenotyping (CIELab photometric measurement) and molecular identification of the EAV-HP insertion in the SLCO1B3 gene in dominant phenotypes, regardless of color intensity affected by laying time/order, and allowing reliable elimination, has proven to be the most effective method to distinguish heterozygotes from the breeding population. The combination of optometric and molecular selection methods then leads to more efficient selection, reduction of overall selection costs. This process led to the stabilization of the breeding population within one generation and the achievement of a pure homozygous line with regard to eggshell color.