Literature DB >> 30717653

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

Fedor V Kazantsev1,2, Ekaterina S Skolotneva3, Vasiliy N Kelbin3, Elena A Salina3, Sergey A Lashin3,4.   

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.

Entities:  

Keywords:  Avirulent genes; Database; Resistant genes; Stem rust; Wheat

Mesh:

Substances:

Year:  2019        PMID: 30717653      PMCID: PMC6362583          DOI: 10.1186/s12859-018-2569-4

Source DB:  PubMed          Journal:  BMC Bioinformatics        ISSN: 1471-2105            Impact factor:   3.169


  6 in total

Review 1.  Understanding the plant immune system.

Authors:  Fumiaki Katagiri; Kenichi Tsuda
Journal:  Mol Plant Microbe Interact       Date:  2010-12       Impact factor: 4.171

Review 2.  How plants recognize pathogens and defend themselves.

Authors:  P J G M de Wit
Journal:  Cell Mol Life Sci       Date:  2007-11       Impact factor: 9.261

3.  Obligate biotrophy features unraveled by the genomic analysis of rust fungi.

Authors:  Sébastien Duplessis; Christina A Cuomo; Yao-Cheng Lin; Andrea Aerts; Emilie Tisserant; Claire Veneault-Fourrey; David L Joly; Stéphane Hacquard; Joëlle Amselem; Brandi L Cantarel; Readman Chiu; Pedro M Coutinho; Nicolas Feau; Matthew Field; Pascal Frey; Eric Gelhaye; Jonathan Goldberg; Manfred G Grabherr; Chinnappa D Kodira; Annegret Kohler; Ursula Kües; Erika A Lindquist; Susan M Lucas; Rohit Mago; Evan Mauceli; Emmanuelle Morin; Claude Murat; Jasmyn L Pangilinan; Robert Park; Matthew Pearson; Hadi Quesneville; Nicolas Rouhier; Sharadha Sakthikumar; Asaf A Salamov; Jeremy Schmutz; Benjamin Selles; Harris Shapiro; Philippe Tanguay; Gerald A Tuskan; Bernard Henrissat; Yves Van de Peer; Pierre Rouzé; Jeffrey G Ellis; Peter N Dodds; Jacqueline E Schein; Shaobin Zhong; Richard C Hamelin; Igor V Grigoriev; Les J Szabo; Francis Martin
Journal:  Proc Natl Acad Sci U S A       Date:  2011-05-02       Impact factor: 11.205

4.  Genetic and physical characterization of the LR1 leaf rust resistance locus in wheat (Triticum aestivum L.).

Authors:  C Feuillet; M Messmer; G Schachermayr; B Keller
Journal:  Mol Gen Genet       Date:  1995-09-20

5.  A microsatellite map of wheat.

Authors:  M S Röder; V Korzun; K Wendehake; J Plaschke; M H Tixier; P Leroy; M W Ganal
Journal:  Genetics       Date:  1998-08       Impact factor: 4.562

6.  Evidence-based gene models for structural and functional annotations of the oil palm genome.

Authors:  Kuang-Lim Chan; Tatiana V Tatarinova; Rozana Rosli; Nadzirah Amiruddin; Norazah Azizi; Mohd Amin Ab Halim; Nik Shazana Nik Mohd Sanusi; Nagappan Jayanthi; Petr Ponomarenko; Martin Triska; Victor Solovyev; Mohd Firdaus-Raih; Ravigadevi Sambanthamurthi; Denis Murphy; Eng-Ti Leslie Low
Journal:  Biol Direct       Date:  2017-09-08       Impact factor: 4.540

  6 in total

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