Evidence map›Paper›PMID 35923405›Full record

ArticleFrontiers in microbiology2022

Whole-genome single nucleotide polymorphism analysis for typing the pandemic pathogen

Tomasz Kulik, Tomasz Molcan, Grzegorz Fiedorowicz, Anne van Diepeningen, Alexander Stakheev, Kinga Treder, Jacek Olszewski, Katarzyna Bilska, Marco Beyer, Matias Pasquali and 1 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.6field-weighted citation impact, top 19% 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

10 citing papers in PubMed, 15 citations in OpenAlex.

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  9. A Novel Medium for Isolating Two Japanese Species in theJournal of fungi (Basel, Switzerland) · 2022
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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

11 authors at 7 institutions in 5 countries.

Tomasz KulikDepartment of Botany and Nature Protection, University of Warmia and Mazury in Olsztyn, Olsztyn, Poland.
Tomasz MolcanDepartment of Bioinformatics, Institute of Biochemistry and Biophysics, Polish Academy of Sciences (PAN), Warsaw, Poland.
Grzegorz FiedorowiczDepartment of Botany and Nature Protection, University of Warmia and Mazury in Olsztyn, Olsztyn, Poland.
Anne van DiepeningenBiointeractions and Plant Health, Wageningen Plant Research, Wageningen, Netherlands.
Alexander StakheevShemyakin and Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Sciences, Moscow, Russia.
Kinga TrederDepartment of Agriculture Systems, University of Warmia and Mazury in Olsztyn, Olsztyn, Poland.
Jacek OlszewskiExperimental Education Unit, Olsztyn, Poland.
Katarzyna BilskaDepartment of Botany and Nature Protection, University of Warmia and Mazury in Olsztyn, Olsztyn, Poland.
Marco BeyerAgro-Environmental Systems, Environmental Monitoring and Sensing Unit, Department of Environmental Research and Innovation, Luxembourg Institute of Science and Technology, Esch-sur-Alzette, Luxembourg.
Matias PasqualiDepartment of Food, Environmental and Nutritional Sciences, University of Milan, Milan, Italy.
Sebastian StengleinNational Scientific and Technical Research Council, Godoy Cruz, Argentina.
University of Warmia and Mazury in Olsztyn · PLCentro Científico Tecnológico - San Juan · ARInstitute of Biochemistry and Biophysics, Polish Academy of Sciences · PLInstitute of Bioorganic Chemistry · RULuxembourg Institute of Science and Technology · LUUniversity of Computer Sciences and Economics in Olsztyn · PLUniversity of Milan · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent improvements in microbiology and molecular epidemiology were largely stimulated by whole- genome sequencing (WGS), which provides an unprecedented resolution in discriminating highly related genetic backgrounds. WGS is becoming the method of choice in epidemiology of fungal diseases, but its application is still in a pioneer stage, mainly due to the limited number of available genomes. Fungal pathogens often belong to complexes composed of numerous cryptic species. Detecting cryptic diversity is fundamental to understand the dynamics and the evolutionary relationships underlying disease outbreaks. In this study, we explore the value of whole-genome SNP analyses in identification of the pandemic pathogen

Indexed as

F. graminearum complexFusarium graminearum sensu strictoidentificationplant pathogenwhole-genome sequencing

Identifiers

PMID35923405
PMCPMC9339996
OpenAlexW4285726197

What OpenQuestion holds

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LicenceCC BY
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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.