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  1. Article ; Online: Oxidative Status of

    Kisiel, Anna / Miller, Tymoteusz

    International journal of molecular sciences

    2023  Volume 24, Issue 5

    Abstract: An increasing number of scientists working to raise agricultural productivity see the potential in the roots and the soil adjacent to them, together with a wealth of micro-organisms. The first mechanisms activated in the plant during any abiotic or ... ...

    Abstract An increasing number of scientists working to raise agricultural productivity see the potential in the roots and the soil adjacent to them, together with a wealth of micro-organisms. The first mechanisms activated in the plant during any abiotic or biotic stress concern changes in the oxidative status of the plant. With this in mind, for the first time, an attempt was made to check whether the inoculation of seedlings of the model plant
    MeSH term(s) Sinorhizobium/metabolism ; Seedlings/metabolism ; Medicago truncatula/metabolism ; Hydrogen Peroxide/metabolism ; Pseudomonas/metabolism ; Plant Roots/metabolism ; Sinorhizobium meliloti ; Oxidative Stress ; Paenibacillus/metabolism ; Symbiosis/physiology
    Chemical Substances Hydrogen Peroxide (BBX060AN9V)
    Language English
    Publishing date 2023-03-01
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2019364-6
    ISSN 1422-0067 ; 1422-0067 ; 1661-6596
    ISSN (online) 1422-0067
    ISSN 1422-0067 ; 1661-6596
    DOI 10.3390/ijms24054781
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  2. Article: Assessment of the Role of Free-Living and Farmed Fallow Deer (

    Odyniec, Marta / Bancerz-Kisiel, Agata

    Pathogens (Basel, Switzerland)

    2022  Volume 11, Issue 11

    Abstract: ... Yersinia ... ...

    Abstract Yersinia enterocolitica
    Language English
    Publishing date 2022-10-30
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2695572-6
    ISSN 2076-0817
    ISSN 2076-0817
    DOI 10.3390/pathogens11111266
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  3. Article ; Online: Correction: Isolation, characterization and antimicrobial resistance of Yersinia enterocolitica from Polish cattle and their carcasses.

    Łada, Piotr / Kończyk-Kmiecik, Klaudia / Bancerz-Kisiel, Agata

    BMC veterinary research

    2023  Volume 19, Issue 1, Page(s) 170

    Language English
    Publishing date 2023-09-22
    Publishing country England
    Document type Published Erratum
    ZDB-ID 2191675-5
    ISSN 1746-6148 ; 1746-6148
    ISSN (online) 1746-6148
    ISSN 1746-6148
    DOI 10.1186/s12917-023-03734-w
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  4. Article ; Online: Isolation, characterization and antimicrobial resistance of Yersinia enterocolitica from Polish cattle and their carcasses.

    Łada, Piotr / Kończyk-Kmiecik, Klaudia / Bancerz-Kisiel, Agata

    BMC veterinary research

    2023  Volume 19, Issue 1, Page(s) 143

    Abstract: Background: Yersinia enterocolitica is a heterogeneous bacterial species that has been divided into six biotypes and more than 70 serotypes. Each year, the European Food Safety Authority classifies yersiniosis caused by Y. enterocolitica as one of the ... ...

    Abstract Background: Yersinia enterocolitica is a heterogeneous bacterial species that has been divided into six biotypes and more than 70 serotypes. Each year, the European Food Safety Authority classifies yersiniosis caused by Y. enterocolitica as one of the most important zoonotic diseases. The prevalence of Y. enterocolitica in cattle has not been thoroughly analyzed in Poland, and beef and bovine carcasses contaminated with antimicrobial resistant Y. enterocolitica pose a health risk for both, farm workers and consumers. Therefore, the aim of this study was to evaluate the prevalence of Y. enterocolitica in cattle and to determine the antimicrobial susceptibility of the isolated strains.
    Results: A total of 1020 samples were analyzed, including 660 rectal swabs collected from live cattle and 360 swabs from cold-stored beef carcasses. The results of this study indicate that Y. enterocolitica was isolated from three of the 15 examined cattle herds and the prevalence within these herds ranged from 0% to nearly 32%. Y. enterocolitica was isolated from 14.7% of the examined heifers, 7.4% of calves and 5.5% of adult cows. More than 65% of the strains were isolated from cold enrichment. The strains isolated from live cattle tested positive for the ystB gene, while ail and ystA genes were not found. Most of the isolated strains belonged to bioserotype 1A/NT. The majority of the isolated strains were resistant to ampicillin, cefalexin and amoxicillin with clavulanic acid, however these are expected phenotypes for Y. enterocolitica.
    Conclusions: The results of this study indicate that Y. enterocolitica is present in cattle herds in Poland. The strains isolated from live cattle were ystB-positive, most of them belonged to bioserotype 1A/NT. The prevalence of Y. enterocolitica strains was generally low in cold-stored beef carcasses.
    MeSH term(s) Animals ; Cattle ; Female ; Yersinia enterocolitica ; Anti-Bacterial Agents ; Drug Resistance, Bacterial ; Poland ; Zoonoses ; Cattle Diseases
    Chemical Substances Anti-Bacterial Agents
    Language English
    Publishing date 2023-09-05
    Publishing country England
    Document type Journal Article
    ZDB-ID 2191675-5
    ISSN 1746-6148 ; 1746-6148
    ISSN (online) 1746-6148
    ISSN 1746-6148
    DOI 10.1186/s12917-023-03700-6
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  5. Article: Phylogenetic analysis of the trypanosomatid parasite

    Iller, Maria / Lipczyńska-Ilczuk, Karolina / Sokół, Rajmund / Borsuk, Grzegorz / Bancerz-Kisiel, Agata

    Journal of veterinary research

    2024  Volume 68, Issue 1, Page(s) 123–127

    Abstract: Introduction: Lotmaria passim: Material and methods: Each apiary consisted of approximately 60 bee colonies, of which 20 were randomly selected. Samples of 60 differently aged worker bees were collected from each colony and pooled. A total of 100 bee ...

    Abstract Introduction: Lotmaria passim
    Material and methods: Each apiary consisted of approximately 60 bee colonies, of which 20 were randomly selected. Samples of 60 differently aged worker bees were collected from each colony and pooled. A total of 100 bee colonies from five apiaries were examined. Protozoa of the Trypanosomatidae family were identified by PCR.
    Results: The amplicon sequences of
    Conclusion: This is the first study to perform a phylogenetic analysis of
    Language English
    Publishing date 2024-03-23
    Publishing country Poland
    Document type Journal Article
    ZDB-ID 2855010-9
    ISSN 2450-8608 ; 2450-7393
    ISSN (online) 2450-8608
    ISSN 2450-7393
    DOI 10.2478/jvetres-2024-0018
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  6. Article: Data Science and Plant Metabolomics.

    Kisiel, Anna / Krzemińska, Adrianna / Cembrowska-Lech, Danuta / Miller, Tymoteusz

    Metabolites

    2023  Volume 13, Issue 3

    Abstract: The study of plant metabolism is one of the most complex tasks, mainly due to the huge amount and structural diversity of metabolites, as well as the fact that they react to changes in the environment and ultimately influence each other. Metabolic ... ...

    Abstract The study of plant metabolism is one of the most complex tasks, mainly due to the huge amount and structural diversity of metabolites, as well as the fact that they react to changes in the environment and ultimately influence each other. Metabolic profiling is most often carried out using tools that include mass spectrometry (MS), which is one of the most powerful analytical methods. All this means that even when analyzing a single sample, we can obtain thousands of data. Data science has the potential to revolutionize our understanding of plant metabolism. This review demonstrates that machine learning, network analysis, and statistical modeling are some techniques being used to analyze large quantities of complex data that provide insights into plant development, growth, and how they interact with their environment. These findings could be key to improving crop yields, developing new forms of plant biotechnology, and understanding the relationship between plants and microbes. It is also necessary to consider the constraints that come with data science such as quality and availability of data, model complexity, and the need for deep knowledge of the subject in order to achieve reliable outcomes.
    Language English
    Publishing date 2023-03-20
    Publishing country Switzerland
    Document type Journal Article ; Review
    ZDB-ID 2662251-8
    ISSN 2218-1989
    ISSN 2218-1989
    DOI 10.3390/metabo13030454
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  7. Article ; Online: Bypassed ion-selective electrodes - self-powered polarization for tailoring of sensor performance.

    Kisiel, Anna / Michalska, Agata / Maksymiuk, Krzysztof

    The Analyst

    2022  Volume 147, Issue 12, Page(s) 2764–2772

    Abstract: Potentiometric ion-selective sensors are attractive analytical tools as they have simple apparatus and facile use; however their analytical parameters cannot be easily tuned. To tailor the performance of these sensors, application of instrumental control ...

    Abstract Potentiometric ion-selective sensors are attractive analytical tools as they have simple apparatus and facile use; however their analytical parameters cannot be easily tuned. To tailor the performance of these sensors, application of instrumental control - electrochemical trigger - is usually required. The proposed approach offers a self-powered instrument-free alternative. It benefits from a spontaneous redox process for the ion-selective electrode bypassed by a zinc wire and a resistor connected in series. Spontaneous oxidation of zinc induces charge flow and the accompanying reduction of the solid contact material of the sensor, magnitude of the current and finally the potential of the electrode can be controlled by adjusting the bypass resistance. The ultimate result of the proposed approach is qualitatively equivalent to recording sensor response under polarized electrode potentiometry conditions, however, it does not require application of a galvanostat. The change in the magnitude of the resistance connected can be used to tailor analytical parameters such as detection limit, linear response range, and selectivity of the sensor. As a model example, potassium-selective all-solid-state sensors with a polypyrrole solid contact were used.
    Language English
    Publishing date 2022-06-13
    Publishing country England
    Document type Journal Article
    ZDB-ID 210747-8
    ISSN 1364-5528 ; 0003-2654
    ISSN (online) 1364-5528
    ISSN 0003-2654
    DOI 10.1039/d2an00458e
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    In stock of ZB MED Cologne/Königswinter

    Zs.A 2423: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
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    Jg. 1995 - 2021: Lesesall (2.OG)
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  8. Article ; Online: Comparison of

    Grabowska-Grucza, Karolina / Bancerz-Kisiel, Agata

    Foodborne pathogens and disease

    2022  Volume 19, Issue 7, Page(s) 505–507

    Abstract: Bacteriological methods for the identification ... ...

    Abstract Bacteriological methods for the identification of
    MeSH term(s) Animals ; Bacteriological Techniques/methods ; Swine ; Swine Diseases ; Yersinia Infections ; Yersinia enterocolitica/genetics
    Language English
    Publishing date 2022-02-16
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2148479-X
    ISSN 1556-7125 ; 1535-3141
    ISSN (online) 1556-7125
    ISSN 1535-3141
    DOI 10.1089/fpd.2021.0074
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    In stock of ZB MED Bonn / Germany

    Z 7517: Show issues

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  9. Article ; Online: Phylogenetic analysis of Starmerella apis in honey bees (Apis mellifera).

    Michalczyk, Maria / Sokół, Rajmund / Lipczyńska-Ilczuk, Karolina / Bancerz-Kisiel, Agata

    The Journal of eukaryotic microbiology

    2022  Volume 70, Issue 1, Page(s) e12931

    Abstract: Honey bees are among the most effective pollinators that promote plant reproduction. Bees are highly active in the pollen collection season, which can lead to the transmission of selected pathogens between colonies. The clade Starmerella comprises yeasts ...

    Abstract Honey bees are among the most effective pollinators that promote plant reproduction. Bees are highly active in the pollen collection season, which can lead to the transmission of selected pathogens between colonies. The clade Starmerella comprises yeasts that are isolated mainly from bees and their environment. When visiting plants, bees can come into contact with Starmerella spp. The aim of this study was to determine the prevalence and phylogenetic position of S. apis in bee colonies. Bee colonies were collected from nine apiaries in three regions. Ten colonies were sampled randomly from each apiary, and pooled samples were collected from the central part of the hive in each colony. A total of 90 (100%) bee colonies from nine apiaries were examined. Starmerella apis was detected in 31 (34.44%) samples, but related species were not identified. The 18S rRNA amplicon sequences of S. apis were compatible with the GenBank sequences of Starmerella spp. from India, Japan, Syria, Thailand, and the USA. The amplicon sequences of S. apis were also 99.06% homologous with the sequences deposited in GenBank under accession numbers JX515988 and NG067631.This is the first study to perform a phylogenetic analysis of S. apis in Polish honey bees.
    MeSH term(s) Bees ; Animals ; Phylogeny ; Saccharomycetales ; Seasons ; Plants
    Language English
    Publishing date 2022-06-29
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 1147218-2
    ISSN 1550-7408 ; 1066-5234
    ISSN (online) 1550-7408
    ISSN 1066-5234
    DOI 10.1111/jeu.12931
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    In stock of ZB MED Cologne/Königswinter

    Zs.B 2292: Show issues Location:
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  10. Article: Evaluation of the Correlation between the mRNA Expression Levels of

    Bancerz-Kisiel, Agata / Lipczyńska-Ilczuk, Karolina

    Pathogens (Basel, Switzerland)

    2021  Volume 10, Issue 9

    Abstract: ... Yersinia ... ...

    Abstract Yersinia enterocolitica
    Language English
    Publishing date 2021-09-03
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2695572-6
    ISSN 2076-0817
    ISSN 2076-0817
    DOI 10.3390/pathogens10091136
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