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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...

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Autores principales: Nikitin, Maksim, Deych, Ksenia, Grevtseva, Inessa, Girsova, Natalya, Kuznetsova, Maria, Pridannikov, Mikhail, Dzhavakhiya, Vitaly, Statsyuk, Natalia, Golikov, Alexander
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
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.
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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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