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Preserved Microarrays for Simultaneous Detection and Identification of Six Fungal Potato Pathogens with the Use of Real-Time PCR in Matrix Format
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 a...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6316111/ https://www.ncbi.nlm.nih.gov/pubmed/30551630 http://dx.doi.org/10.3390/bios8040129 |
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author | Nikitin, Maksim Deych, Ksenia Grevtseva, Inessa Girsova, Natalya Kuznetsova, Maria Pridannikov, Mikhail Dzhavakhiya, Vitaly Statsyuk, Natalia Golikov, Alexander |
author_facet | Nikitin, Maksim Deych, Ksenia Grevtseva, Inessa Girsova, Natalya Kuznetsova, Maria Pridannikov, Mikhail Dzhavakhiya, Vitaly Statsyuk, Natalia Golikov, Alexander |
author_sort | Nikitin, Maksim |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-6316111 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-63161112019-01-09 Preserved Microarrays for Simultaneous Detection and Identification of Six Fungal Potato Pathogens with the Use of Real-Time PCR in Matrix Format Nikitin, Maksim Deych, Ksenia Grevtseva, Inessa Girsova, Natalya Kuznetsova, Maria Pridannikov, Mikhail Dzhavakhiya, Vitaly Statsyuk, Natalia Golikov, Alexander Biosensors (Basel) Article 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. MDPI 2018-12-13 /pmc/articles/PMC6316111/ /pubmed/30551630 http://dx.doi.org/10.3390/bios8040129 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Nikitin, Maksim Deych, Ksenia Grevtseva, Inessa Girsova, Natalya Kuznetsova, Maria Pridannikov, Mikhail Dzhavakhiya, Vitaly Statsyuk, Natalia Golikov, Alexander Preserved Microarrays for Simultaneous Detection and Identification of Six Fungal Potato Pathogens with the Use of Real-Time PCR in Matrix Format |
title | Preserved Microarrays for Simultaneous Detection and Identification of Six Fungal Potato Pathogens with the Use of Real-Time PCR in Matrix Format |
title_full | Preserved Microarrays for Simultaneous Detection and Identification of Six Fungal Potato Pathogens with the Use of Real-Time PCR in Matrix Format |
title_fullStr | Preserved Microarrays for Simultaneous Detection and Identification of Six Fungal Potato Pathogens with the Use of Real-Time PCR in Matrix Format |
title_full_unstemmed | Preserved Microarrays for Simultaneous Detection and Identification of Six Fungal Potato Pathogens with the Use of Real-Time PCR in Matrix Format |
title_short | Preserved Microarrays for Simultaneous Detection and Identification of Six Fungal Potato Pathogens with the Use of Real-Time PCR in Matrix Format |
title_sort | preserved microarrays for simultaneous detection and identification of six fungal potato pathogens with the use of real-time pcr in matrix format |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6316111/ https://www.ncbi.nlm.nih.gov/pubmed/30551630 http://dx.doi.org/10.3390/bios8040129 |
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