Evidence map›Paper›PMID 30717653›Full record

ArticleBMC bioinformatics2019

MIGREW: database on molecular identification of genes for resistance in wheat.

Fedor V Kazantsev, Ekaterina S Skolotneva, Vasiliy N Kelbin, Elena A Salina, Sergey A Lashin

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC bioinformatics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Bioinformatics research at SBB-2019.BMC bioinformatics · 2020
    Article
  2. Bioinformatics research at BGRS-2018.BMC bioinformatics · 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

5 authors.

Fedor V KazantsevInstitute of Cytology and Genetics SB RAS, Novosibirsk, Russia. kazfdr@bionet.nsc.ru.
Ekaterina S SkolotnevaInstitute of Cytology and Genetics SB RAS, Novosibirsk, Russia.
Vasiliy N KelbinInstitute of Cytology and Genetics SB RAS, Novosibirsk, Russia.
Elena A SalinaInstitute of Cytology and Genetics SB RAS, Novosibirsk, Russia.
Sergey A LashinInstitute of Cytology and Genetics SB RAS, Novosibirsk, Russia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Population structure of fungal infections in wheat differs between wheat varieties and environments. Taking into account evolution of host-pathogen interactions, genetic diversity of both wheat and fungus must be a monitored. In order to catalogue information to support need of wheat pathologists and breeders, who use conventional methods and Molecular Assisted Selection (MAS) techniques, we have developed the Molecular Identification of Genes for Resistance in Wheat (MIGREW) database. The main goal of this database is to support wheat breeding efforts to develop immunity to rusts and powdery mildew. MIGREW is also focused on effectiveness of wheat resistance genes in different regions of Russia to provide users relevant information on the rapidly changing population structure of pathogens.

Indexed as

Databases, GeneticGenes, PlantDisease ResistanceGenetic MarkersPlant DiseasesTriticumVirulenceGenetic MarkersAvirulent genesDatabaseResistant genesStem rustWheat

Identifiers

PMID30717653
PMCPMC6362583

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.