Evidence map›Paper›PMID 33228257›Full record

ArticlePathogens (Basel, Switzerland)2020

Efficient Confirmation of Plant Viral Proteins and Identification of Specific Viral Strains by nanoLC-ESI-Q-TOF Using Single-Leaf-Tissue Samples.

Pavel Cejnar, Štěpánka Kučková, Jiří Šantrůček, Miroslav Glasa, Petr Komínek, Daniel Mihálik, Lucie Slavíková, Leona Leišová-Svobodová, Tatiana Smirnova, Radovan Hynek and 2 more

Open access · goldAbstract read
In one paragraph

Article in Pathogens (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.7field-weighted citation impact, top 21% of its field
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

0 citing papers in PubMed, 4 citations in OpenAlex.

No citing paper in PubMed yet.

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

12 authors at 5 institutions in 2 countries.

Pavel CejnarDepartment of Computing and Control Engineering, University of Chemistry and Technology in Prague, Technická 5, 166 28 Praha, Czech Republic.ORCID 0000-0002-2369-651X
Štěpánka KučkováDepartment of Biochemistry and Microbiology, University of Chemistry and Technology in Prague, Technická 5, 166 28 Praha, Czech Republic.
Jiří ŠantrůčekDepartment of Biochemistry and Microbiology, University of Chemistry and Technology in Prague, Technická 5, 166 28 Praha, Czech Republic.
Miroslav GlasaBiomedical Research Center of the Slovak Academy of Sciences, Institute of Virology, Dúbravská cesta 9, 845 05 Bratislava, Slovakia.ORCID 0000-0002-8495-7971
Petr KomínekDivision of Crop Protection and Plant Health, Crop Research Institute, Drnovská 507, 161 06 Praha, Czech Republic.
Daniel MihálikFaculty of Natural Sciences, University of Ss. Cyril and Methodius in Trnava, Nám. J. Herdu 2, 917 01 Trnava, Slovakia.ORCID 0000-0002-3719-8634
Lucie SlavíkováDepartment of Plant Protection, Czech University of Life Sciences, Kamýcká 129, 165 00 Praha, Czech Republic.
Leona Leišová-SvobodováDivision of Crop Protection and Plant Health, Crop Research Institute, Drnovská 507, 161 06 Praha, Czech Republic.
Tatiana SmirnovaDepartment of Biochemistry and Microbiology, University of Chemistry and Technology in Prague, Technická 5, 166 28 Praha, Czech Republic.
Radovan HynekDepartment of Biochemistry and Microbiology, University of Chemistry and Technology in Prague, Technická 5, 166 28 Praha, Czech Republic.
Jiban Kumar KunduDivision of Crop Protection and Plant Health, Crop Research Institute, Drnovská 507, 161 06 Praha, Czech Republic.ORCID 0000-0003-0731-016X
Pavel RyšánekDepartment of Plant Protection, Czech University of Life Sciences, Kamýcká 129, 165 00 Praha, Czech Republic.
Czech Agrifood Research Center · CZUniversity of Chemistry and Technology, Prague · CZCzech University of Life Sciences Prague · CZBiomedical Research Center of the Slovak Academy of Sciences · SKNational Agricultural and Food Centre · SK

Funding

Agentúra na Podporu Výskumu a Vývoja APVV-18-0005Ministerstvo Zemědělství MZE-RO0418Ministry of Education, Youth and Sports of the Czech Republic LTAIN19007
6 · The paper itself

Abstract

Plant viruses are important pathogens that cause significant crop losses. A plant protein extraction protocol that combines crushing the tissue by a pestle in liquid nitrogen with subsequent crushing by a roller-ball crusher in urea solution, followed by RuBisCO depletion, reduction, alkylation, protein digestion, and ZipTip purification allowed us to substantially simplify the sample preparation by removing any other precipitation steps and to detect viral proteins from samples, even with less than 0.2 g of leaf tissue, by a medium resolution nanoLC-ESI-Q-TOF. The presence of capsid proteins or polyproteins of fourteen important viruses from seven different families (Geminiviridae, Luteoviridae, Bromoviridae, Caulimoviridae, Virgaviridae, Potyviridae, and Secoviridae) isolated from ten different economically important plant hosts was confirmed through many identified pathogen-specific peptides from a protein database of host proteins and potential pathogen proteins assembled separately for each host and based on existing online plant virus pathogen databases. The presented extraction protocol, combined with a medium resolution LC-MS/MS, represents a cost-efficient virus protein confirmation method that proved to be effective at identifying virus strains (as demonstrated for PPV, WDV) and distinct disease species of BYDV, as well as putative new viral protein sequences from single-plant-leaf tissue samples. Data are available via ProteomeXchange with identifier PXD022456.

Indexed as

LC-MS/MSprotein extraction protocolviral proteins detectionvirus detection

Identifiers

PMID33228257
PMCPMC7699591
OpenAlexW3098799797

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.