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MIGREW : Database on molecular identification of genes for resistance in wheat. / Kazantsev, Fedor V.; Skolotneva, Ekaterina S.; Kelbin, Vasiliy N. et al.

In: BMC Bioinformatics, Vol. 20, No. Suppl 1, 36, 05.02.2019.

Research output: Contribution to journal › Article › peer-review

Harvard

Kazantsev, FV, Skolotneva, ES, Kelbin, VN, Salina, EA & Lashin, SA 2019, 'MIGREW: Database on molecular identification of genes for resistance in wheat', BMC Bioinformatics, vol. 20, no. Suppl 1, 36. https://doi.org/10.1186/s12859-018-2569-4

APA

Kazantsev, F. V., Skolotneva, E. S., Kelbin, V. N., Salina, E. A., & Lashin, S. A. (2019). MIGREW: Database on molecular identification of genes for resistance in wheat. BMC Bioinformatics, 20(Suppl 1), [36]. https://doi.org/10.1186/s12859-018-2569-4

Vancouver

Kazantsev FV, Skolotneva ES, Kelbin VN, Salina EA, Lashin SA. MIGREW: Database on molecular identification of genes for resistance in wheat. BMC Bioinformatics. 2019 Feb 5;20(Suppl 1):36. doi: 10.1186/s12859-018-2569-4

Author

Kazantsev, Fedor V. ; Skolotneva, Ekaterina S. ; Kelbin, Vasiliy N. et al. / MIGREW : Database on molecular identification of genes for resistance in wheat. In: BMC Bioinformatics. 2019 ; Vol. 20, No. Suppl 1.

BibTeX

@article{f5deb02a45154eda99f484d2b4aaa654,
title = "MIGREW: Database on molecular identification of genes for resistance in wheat",
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.",
keywords = "Avirulent genes, Database, Resistant genes, Stem rust, Wheat, PUCCINIA-TRITICINA, LEAF RUST, DIVERSITY",
author = "Kazantsev, {Fedor V.} and Skolotneva, {Ekaterina S.} and Kelbin, {Vasiliy N.} and Salina, {Elena A.} and Lashin, {Sergey A.}",
year = "2019",
month = feb,
day = "5",
doi = "10.1186/s12859-018-2569-4",
language = "English",
volume = "20",
journal = "BMC Bioinformatics",
issn = "1471-2105",
publisher = "BioMed Central Ltd.",
number = "Suppl 1",

}

RIS

TY - JOUR

T1 - MIGREW

T2 - Database on molecular identification of genes for resistance in wheat

AU - Kazantsev, Fedor V.

AU - Skolotneva, Ekaterina S.

AU - Kelbin, Vasiliy N.

AU - Salina, Elena A.

AU - Lashin, Sergey A.

PY - 2019/2/5

Y1 - 2019/2/5

N2 - 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.

AB - 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.

KW - Avirulent genes

KW - Database

KW - Resistant genes

KW - Stem rust

KW - Wheat

KW - PUCCINIA-TRITICINA

KW - LEAF RUST

KW - DIVERSITY

UR - http://www.scopus.com/inward/record.url?scp=85061107693&partnerID=8YFLogxK

U2 - 10.1186/s12859-018-2569-4

DO - 10.1186/s12859-018-2569-4

M3 - Article

C2 - 30717653

AN - SCOPUS:85061107693

VL - 20

JO - BMC Bioinformatics

JF - BMC Bioinformatics

SN - 1471-2105

IS - Suppl 1

M1 - 36

ER -

ID: 18488474