Evidence map›Paper›PMID 30551630›Full record

ArticleBiosensors2018

Preserved Microarrays for Simultaneous Detection and Identification of Six Fungal Potato Pathogens with the Use of Real-Time PCR in Matrix Format.

Maksim Nikitin, Ksenia Deych, Inessa Grevtseva, Natalya Girsova, Maria Kuznetsova, Mikhail Pridannikov, Vitaly Dzhavakhiya, Natalia Statsyuk, Alexander Golikov

Abstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Recent Advances in Molecular Diagnostics of Fungal Plant Pathogens: A Mini Review.Frontiers in cellular and infection microbiology · 2020
    Review
  4. Review
  5. Electrochemical Response ofBiosensors · 2019
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Maksim NikitinGenBit LLC, Nauchny pr., 20, Bld. 4, Moscow 117246, Russia. nikitin@genbitgroup.com.ORCID 0000-0001-6152-5386
Ksenia DeychGenBit LLC, Nauchny pr., 20, Bld. 4, Moscow 117246, Russia. ksedeych@gmail.com.
Inessa GrevtsevaGenBit LLC, Nauchny pr., 20, Bld. 4, Moscow 117246, Russia. grevtseva@genbitgroup.com.
Natalya GirsovaAll-Russian Research Institute of Phytopathology, Institute Str., 5, Bolshie Vyazemy 143050, Russia. ngirsova@yandex.ru.
Maria KuznetsovaAll-Russian Research Institute of Phytopathology, Institute Str., 5, Bolshie Vyazemy 143050, Russia. kuznetsova@vniif.ru.
Mikhail PridannikovAll-Russian Research Institute of Phytopathology, Institute Str., 5, Bolshie Vyazemy 143050, Russia. mikhail.pridannikov@yahoo.com.ORCID 0000-0002-3941-5399
Vitaly DzhavakhiyaAll-Russian Research Institute of Phytopathology, Institute Str., 5, Bolshie Vyazemy 143050, Russia. dzhavakhiya@yahoo.com.
Natalia StatsyukAll-Russian Research Institute of Phytopathology, Institute Str., 5, Bolshie Vyazemy 143050, Russia. nataafg@gmail.com.ORCID 0000-0001-6159-148X
Alexander GolikovGenBit LLC, Nauchny pr., 20, Bld. 4, Moscow 117246, Russia. golikov@genbitgroup.com.

Funding

Russian Science Foundation 16-16-04109
6 · The paper itself

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.

Indexed as

FungiLimit of DetectionOligonucleotide Array Sequence AnalysisPlant DiseasesReal-Time Polymerase Chain ReactionSolanum tuberosumAlternaria alternataAlternaria solaniColletotrichum coccodesFusarium spp.plant pathogen diagnosticspotatoqPCR microarraysRhizoctonia solaniSpongospora subterranea

Identifiers

PMID30551630
PMCPMC6316111

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.