Digital repository of Slovenian research organisations

Search the repository
A+ | A- | Help | SLO | ENG

Query: search in
search in
search in
search in

Options:
  Reset


Query: "keywords" (detection) .

1 - 10 / 37
First pagePrevious page1234Next pageLast page
1.
Digital PCR genotyping of pepino mosaic virus
Amadej Jelenčič, David Dobnik, Alexandra Bogožalec Košir, Nataša Mehle, 2025, independent scientific component part or a chapter in a monograph

Abstract: Pepino mosaic virus (PepMV) is a plant pathogen causing significant economic losses in tomato production. Sensitive, reliable, and robust detection methods are crucial for containing the spread of PepMV and reducing its damaging effects. Digital PCR (dPCR) presents several advantages to conventional real-time quantitative PCR (qPCR), including absolute quantification ability, robust quantitative multiplexing capabilities, and straightforward result analysis. Furthermore, dPCR is especially suitable for analysis of complex samples due to its remarkable tolerance to PCR inhibitors, which makes it a promising method for plant virus genotyping. In this chapter, we present two protocols for PepMV genotyping and quantification using one-step reverse transcription digital PCR (RT-dPCR). The first protocol outlines four simplex assays, while the second describes two duplex assays for precise and comprehensive genotyping of PepMV variants.
Keywords: plant viruses, detection, quantification, Pepino mosaic virus, PepMV, digital PCR, dPCR, RT-dPCR, duplex
Published in DiRROS: 08.09.2025; Views: 244; Downloads: 37
.pdf Full text (1,54 MB)
This document has many files! More...

2.
Irrigation systems as reservoirs of diverse and pathogenic Pseudomonas syringae strains endangering crop health
Marina Anteljević, Iva Rosić, Olja Medić, Tamara Ranković, Karolina Sunjog, Margareta Kračun-Kolarević, Stoimir Kolarević, Tanja Dreo, Aleksander Benčič, Tanja Berić, 2025, original scientific article

Abstract: Pseudomonas syringae (Psy) is a widely distributed bacterial species complex primarily recognized as a foliar pathogen but also inhabits diverse environments, including water habitats, where strains closely related to agricultural pathogens have been identified. The connection between Psy-caused epidemics and its potential presence in nearby irrigation systems remains underexplored. This study comprehensively examined the Psy complex in the Danube-Tisa-Danube Hydrosystem (DTD) in Serbia, assessing its abundance, phylogenetic diversity, and pathogenic potential. To reduce the reliance on the time-consuming steps of isolation and identification, we developed novel high-specific primers and probes for precise detection of strains belonging to phylogroup 2 within Psy complex. Our results demonstrated that dPCR, coupled with highly specific and sensitive primers, outperformed both traditional plating and qPCR in detecting the Psy complex and phylogroup 2 in irrigation waters, making Psy diagnostics more effective. Phylogenetic analysis indicated high strain diversity within the DTD, identifying phylogroups 1, 2, 7, 12, and 13 and haplotypes linked to strains previously encountered in epidemics on sugar beet in Serbia. Notably, 66.67% of the isolates from the DTD were capable of inducing disease. Phylogroup 2 isolates displayed a broad host range, suggesting that the dissemination of Psy from DTD through irrigation, poses a substantial threat to crop health and agricultural productivity.
Keywords: phytopathogen detection, irrigation, qPCR, dPCR
Published in DiRROS: 05.09.2025; Views: 241; Downloads: 94
.pdf Full text (6,95 MB)
This document has many files! More...

3.
Identification of the damage types for reinforced concrete using CNN models
Yue Shi, RunYu Wang, Xue Bai, 2025, original scientific article

Keywords: convolutional neural network, reinforced concrete, damage detection, image recognition, structural health monitoring, deep learning
Published in DiRROS: 01.09.2025; Views: 320; Downloads: 143
.pdf Full text (333,39 KB)
This document has many files! More...

4.
Epidemiological and clinical insights into enterovirus circulation in Europe, 2018 - 2023 : a multi-center retrospective surveillance study
Sten de Schrijver, Emiel Vanhulle, Anne Ingenbleek, Leonidas Alexakis, 2025, original scientific article

Abstract: Background Enteroviruses (EV) cause yearly outbreaks with severe infections, particularly in young children. This study investigates EV circulation, age, and clinical presentations in Europe from 2018 to 2023. Methods Aggregated data were requested from the European Centre for Disease Prevention and Control National Focal Points for Surveillance and European Non-Polio Enterovirus Network. Data included detection month, specimen type, age group, and clinical presentation for the 10 most commonly reported EV types per year. Results Twenty-eight institutions (16 countries) reported 563 654 EV tests during the study period with 33 265 (5.9%) EV positive. Forty-two types were identified (n = 11 605 cases) with echovirus 30 (E30), coxsackievirus A6 (CVA6), EV-D68, E9, E11, CVB5, E18, CVB4, EV-A71, and E6 most frequently reported. E30 declined after 2018/2019, while CVA6, CVB5, E9, E11, and EV-D68 were prevalent both before and after the coronavirus disease 2019 (COVID-19) pandemic, and CVB4 and E18 were prevalent after the pandemic. A shift in seasons (summer to fall) and specimen positivity (feces to respiratory) was observed. Neurological signs predominated among EV-A71, CVB4, CVB5, E6, E9, E11, E18, and E30 (30%–72%). CVB4, CVB5, E9, E11, and E18 were frequently reported among neonates (18%–32%). CVA6 was frequently associated with hand, foot and mouth disease, and EV-D68 with respiratory infections. Paralysis was reported among 22 infections, associated with 10 nonpolio types. Conclusions This study emphasizes the widespread circulation and severity of EV infections in Europe, as well as the (re)emergence of specific types postpandemic. Our findings highlight the need for continuous EV surveillance to monitor variation in circulation, age, and clinical presentations, including paralysis among nonpolio EV infections.
Keywords: enterovirus, laboratory detection, surveillance, Europe, epidemiology
Published in DiRROS: 27.06.2025; Views: 360; Downloads: 208
.pdf Full text (1,06 MB)
This document has many files! More...

5.
Skin cancer segmentation and classification by implementing a hybrid FrCN-(U-NeT) technique with machine learning
Puneet Thapar, Manik Rakhra, Deepak Prashar, Leo Mršić, Arfat Ahmad Khan, Seifedine Kadry, 2025, original scientific article

Abstract: Skin cancer is a severe and rapidly advancing condition that can be impacted by multiple factors, including alcohol and tobacco use, allergies, infections, physical activity, exposure to UV light, viral infections, and the effects of climate change. While the steep death tolls continue rising at an alarming rate, lack of symptoms recognition and its preventive measures further worsen the case. In this article, we employ the ISBI-2017 dataset to present an improved FrCN-based hybrid image segmentation method with U-Net to improve detection performance. This paper proposes a hybrid approach using the FrCN-(U-Net) image segmentation technique to enhance results compared to an advanced method for detecting skin cancer types, such as Benign or Melanoma. The classification phase is then handled using the R-CNN algorithm. Our model shows better performance in both training and testing accuracy than any other existing approaches. The results show that the combined method is effective in enhancing early disease diagnosis, which in turn improves treatment outcomes and prognosis. This paper presents an alternative technique for skin cancer detection, which can serve as a guide for clinical practices and public health strategies on how to lower skin-cancer-related deaths.
Keywords: skin tumors, cutaneous melanoma, lesions, imaging techniques, cancel detection and diagnosis, melanoma, preprocessing, melignant tumors
Published in DiRROS: 19.06.2025; Views: 392; Downloads: 232
.pdf Full text (1,31 MB)
This document has many files! More...

6.
From crisis to routine – standardization of SARS-CoV-2 genome detection by enhanced EQA schemes in a scientific pandemic network
Martin Kammel, Hans-Peter Grunert, Anika Zimmermann, Annemarie Martin, Vanessa Lindig, Mojca Milavec, 2025, original scientific article

Abstract: In the beginning of 2020, the outbreak of the COVID-19 pandemic led to a crisis in which diagnostic methods for the genome detection of SARS-CoV-2 were urgently needed. Based on the very early publication of the basic principles for a diagnostic test for the genome detection of SARS-CoV-2, the first noncommercial laboratory-developed tests (LDTs) and commercial tests were introduced. As there was considerable uncertainty about the reliability and performance of different tests and different laboratories, INSTAND established external quality assessment (EQA) schemes for the detection of SARS-CoV-2 starting in April 2020. In close partnership in a scientific network, the EQA schemes were enhanced, especially the April, June and November 2020 terms. The enhancement included: (i) immediate provision of suitable virus including variants of concern at the beginning of the pandemic outbreak, (ii) short frequency of EQA schemes, (iii) concentration dependency of the testing and sensitivity check, achieved by using SARS-CoV-2-positive samples from a 10-fold dilution series of the same starting material, (iv) specificity check of the testing, achieved by using SARS-CoV-2-negative samples containing human coronaviruses or MERS CoV, (v) revealed samples for orientation on test performance during an ongoing or at the start of an EQA scheme using a pre-quantified SARS-CoV-2-positive EQA sample with a low viral RNA load of only 1 570 copies/mL assigned by digital PCR (dPCR) in June 2020 and (vi) quantified reference materials based on the experiences of the first two EQA schemes with dPCR-assigned values in copies/mL beginning in November 2020 for self-evaluation of the applied test system. This manuscript summarizes the results of a total of 13 EQA schemes for the detection of SARS-CoV-2 between April 2020 and June 2023 in which a total of 1 413 laboratories from 49 countries participated. The qualitative results for the detection of SARS-CoV-2-positive samples were between 95.8 % and 99.7 % correct positive, excluding extremely low concentration samples. For all SARS-CoV-2-negative EQA samples, the qualitative success rates ranged from 95.1 % to 99.4 % correct negative results. The widely varying values for the cycle threshold (Ct)/crossing point (Cq) reported for the different target genes and test systems were striking. A few laboratories reported quantitative results in copies/mL for several VOCs with an acceptable rate of over 93 % correct positive results in the majority of cases. The description of the enhanced EQA schemes for SARS-CoV-2 detection in terms of timing and scope can serve as a blueprint for the rapid development of a quality assessment of diagnostics for an emerging pathogen.
Keywords: COVID-19 pandemic, SARS-CoV-2, virus genome detection tests, reference materials, external quality assessment, laboratory medicine, epidemiology
Published in DiRROS: 18.06.2025; Views: 421; Downloads: 405
.pdf Full text (10,30 MB)
This document has many files! More...

7.
Insights into diversity, host-range, and temporal stability of Bacteroides and Phocaeicola prophages
Nejc Stopnišek, Stina Hedžet, Tomaž Accetto, Maja Rupnik, 2025, original scientific article

Abstract: Background Phages are critical components of the gut microbiome, influencing bacterial composition and function as predators, parasites, and modulators of bacterial phenotypes. Prophages, integrated forms of these phages, are prevalent in many bacterial genomes and play a role in bacterial adaptation and evolution. However, the diversity and stability of prophages within gut commensals, particularly in the genera Bacteroides and Phocaeicola, remain underexplored. This study aims to screen and characterize prophages in these genera, providing insights into their diversity, host range, and temporal dynamics in the human gut. Results Using a combination of three bioinformatic tools—Cenote-Taker 3, Vibrant, and PHASTER—we conducted a comprehensive analysis of prophages in Bacteroides and Phocaeicola. Cenote-Taker 3 identified the most diverse set of prophages, with significant overlaps observed between the tools. After clustering high-quality prophages, we identified 22 unique viral operational taxonomic units (vOTUs). Notably, comparisons between prophages identified in isolated bacterial genomes, metaviromes, and large public gut virome databases revealed a broader host range than initially observed in single isolates. Certain prophages were consistent across time points and individuals, suggesting temporal stability. All identified prophages belonged to the Caudoviricetes class and contained genes related to antibiotic resistance, toxin production, and metabolic processes. Conclusions The combined use of multiple prophage detection tools allowed for a more comprehensive assessment of prophage diversity in Bacteroides and Phocaeicola. The identified prophages were not only prevalent but also exhibited broad host ranges and temporal stability. The presence of antibiotic resistance and toxin genes suggests that these prophages may significantly influence bacterial community structure and function in the gut, with potential implications for human health. These findings highlight the importance of using diverse detection tools to accurately assess prophage diversity and dynamics.
Keywords: prophage detection, Bacteroides, Phocaeicola, gut microbiome, prophage diversity, Caudoviricetes, antibiotic resistance, phage-bacteria interactions, temporal stability
Published in DiRROS: 06.03.2025; Views: 664; Downloads: 544
.pdf Full text (1,73 MB)
This document has many files! More...

8.
First report of Tomato brown rugose fruit virus in tomato in Slovenia
Ana Vučurović, Jakob Brodarič, Tjaša Jakomin, Anja Pecman, Anita Benko-Beloglavec, Nataša Mehle, 2022, other scientific articles

Abstract: In July 2021, during an official survey for Tomato brown rugose fruit virus (ToBRFV), a sample composed of leaves and fruit was taken from three tomato (Solanum lycopersicum cv. Factor F1) plants growing in a greenhouse producing fresh tomatoes in central Slovenia. The sampled plants were slightly dwarfed and showed deformations such as leaf curling, narrowing and small leaves (Figure 1), while no virus symptoms were observed on the fruit.
Keywords: detection, identification, plant virus disease
Published in DiRROS: 26.02.2025; Views: 636; Downloads: 541
.pdf Full text (296,43 KB)
This document has many files! More...

9.
Citizen science platforms can effectively support early detection of invasive alien species according to species traits
Pablo González-Moreno, Ana A. Anđelković, Tim Adriaens, Christophe Botella, Jakovos Demetriou, Rita Bastos, Sandro Bertolino, Celia López-Cañizares, Franz Essl, Živa Fišer, Maarten De Groot, 2025, original scientific article

Abstract: Early detection and rapid response are essential to deal effectively with new introductions of invasive alien species (IAS). Citizen science platforms for opportunistic recording of species are increasingly popular, and there is potential to harvest their data for early detection of IAS, but this has not been tested. We evaluated the potential of data from existing citizen science platforms for early detection of IAS by obtaining 687 first records of species from 30 European countries where there was both an official first record (i.e. published in scientific literature or by a government agency) and a record in a citizen science platform. We tested how the difference between the two (time lag) was related to species traits, popularity in citizen science platforms, public and research attention and regulatory status. We found that for 50% of the time lag records, citizen science platforms reported IAS earlier than or in the same year as the official databases. Although we cannot determine causality (the first official record could have been from a citizen science platform, or contemporaneous with it), this demonstrates that citizen science platforms are effective for IAS early detection. Time lags were largely affected by species traits. Compared with official records, vertebrates were more likely to have earlier records on citizen science platforms, than plants or invertebrates. Greater popularity of the IAS in citizen science platforms and its observation in neighbouring countries resulted in earlier citizen science reporting. In contrast, inclusion in the EU priority list resulted in earlier official recording, reflecting the efficacy of targeted surveillance programmes. However, time lags were not affected by the overall activity of citizen platforms per country. Synthesis and applications. Multi-species citizen science platforms for reporting nature sightings are a valuable source of information on early detection of IAS even though they are not specifically designed for this purpose. We recommend that IAS surveillance programmes should be better connected with citizen science platforms, including greater acknowledgement of the role of citizen scientists and better data flow from smaller citizen science initiatives into global databases, to support efficient early detection.
Keywords: invasive species, citizen science, early detection
Published in DiRROS: 11.12.2024; Views: 738; Downloads: 462
.pdf Full text (1,14 MB)
This document has many files! More...

10.
Development of novel digital PCR assays for the rapid quantification of Gram-negative bacteria biomarkers using RUCS algorithm
Alexandra Bogožalec Košir, Špela Alič, Viktorija Tomič, Dane Lužnik, Tanja Dreo, Mojca Milavec, 2024, original scientific article

Abstract: Rapid and accurate identification of bacterial pathogens is crucial for effective treatment and infection control, particularly in hospital settings. Conventional methods like culture techniques and MALDI-TOF mass spectrometry are often time-consuming and less sensitive. This study addresses the need for faster and more precise diagnostic methods by developing novel digital PCR (dPCR) assays for the rapid quantification of biomarkers from three Gram-negative bacteria: Acinetobacter baumannii, Klebsiella pneumoniae, and Pseudomonas aeruginosa. Utilizing publicly available genomes and the rapid identification of PCR primers for unique core sequences or RUCS algorithm, we designed highly specific dPCR assays. These assays were validated using synthetic DNA, bacterial genomic DNA, and DNA extracted from clinical samples. The developed dPCR methods demonstrated wide linearity, a low limit of detection (approx. 30 copies per reaction), and robust analytical performance with measurement uncertainty below 25 %. The assays showed high repeatability and intermediate precision, with no cross-reactivity observed. Comparison with MALDI-TOF mass spectrometry revealed substantial concordance, highlighting the methods’ suitability for clinical diagnostics. This study underscores the potential of dPCR for rapid and precise quantification of Gram-negative bacterial biomarkers. The developed methods offer significant improvements over existing techniques, providing faster, more accurate, and SI-traceable measurements. These advancements could enhance clinical diagnostics and infection control practices.
Keywords: digital PCR (dPCR), Gram-negative bacteria, pathogen detection, respiratory infections, biomarkers, RUCS algorithm
Published in DiRROS: 05.11.2024; Views: 713; Downloads: 664
.pdf Full text (2,31 MB)
This document has many files! More...

Search done in 0.22 sec.
Back to top