ArticleBiosensors2018
Preserved Microarrays for Simultaneous Detection and Identification of Six Fungal Potato Pathogens with the Use of Real-Time PCR in Matrix Format.
Article in Biosensors, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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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.
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Who cites it
5 citing papers in PubMed.
- Establishment and Application of a Multiplex PCR Assay for the Rapid Detection ofPathogens (Basel, Switzerland) · 2022Article
- Molecular Approaches for Low-Cost Point-of-Care Pathogen Detection in Agriculture and Forestry.Frontiers in plant science · 2020Review
- Recent Advances in Molecular Diagnostics of Fungal Plant Pathogens: A Mini Review.Frontiers in cellular and infection microbiology · 2020Review
- Antifungal Agents in Agriculture: Friends and Foes of Public Health.Biomolecules · 2019Review
- Electrochemical Response ofBiosensors · 2019Article
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
Fungal diseases of plants are of great economic importance causing 70⁻80% of crop losses associated with microbial plant pathogens. Advanced on-site disease diagnostics is very important to maximize crop productivity. In this study, diagnostic systems have been developed for simultaneous detection and identification of six fungal pathogens using 48-well microarrays (micromatrices) for qPCR. All oligonucleotide sets were tested for their specificity using 59 strains of target and non-target species. Detection limit of the developed test systems varied from 0.6 to 43.5 pg of DNA depending on target species with reproducibility within 0.3-0.7% (standard deviation). Diagnostic efficiency of test systems with stabilized and freeze-dried PCR master-mixes did not significantly differ from that of freshly prepared microarrays, though detection limit increased. Validation of test systems on 30 field samples of potato plants showed perfect correspondence with the results of morphological identification of pathogens. Due to the simplicity of the analysis and the automated data interpretation, the developed microarrays have good potential for on-site use by technician-level personnel, as well as for high-throughput monitoring of fungal potato pathogens.
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Registered trials
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