Literature DB >> 22568813

Marker-assisted selection for disease resistance in wheat and barley breeding.

Thomas Miedaner1, Viktor Korzun.   

Abstract

Marker-assisted selection (MAS) provides opportunities for enhancing the response from selection because molecular markers can be applied at the seedling stage, with high precision and reductions in cost. About each of 50 genes conferring monogenic resistances and hundreds of quantitative trait loci (QTL) for quantitative disease resistances have been reported in wheat and barley. For detecting single-major gene resistance, MAS could be easily applied, but is often not necessary because the resistances are selected phenotypically. In quantitative disease resistances, MAS would be very useful, but the individual QTL often have small effects. Additionally, only a few monogenic resistances are durable and only a few QTL with high effects have been successfully transferred into elite breeding material. Further economic and biological constraints, e.g., a low return of investment in small-grain cereal breeding, lack of diagnostic markers, and the prevalence of QTL-background effects, hinder the broad implementation of MAS. Examples in which MAS has been successfully applied to practical breeding are the wheat rust resistance genes Lr34 and Yr36, the eyespot resistance gene Pch1, the recessive resistance genes rym4/rym5 to barley yellow mosaic viruses, mlo to barley powdery mildew, and two QTL for resistance to Fusarium head blight in wheat (Fhb1 and Qfhs.ifa-5A). Newly identified broad-spectrum resistance genes/QTL conferring resistance to multiple taxa of pathogens offer additional perspectives for MAS. In the future, chip-based, high-throughput genotyping platforms and the introduction of genomic selection will reduce the current problems of integrating MAS in practical breeding programs and open new avenues for a molecular-based resistance breeding.

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Year:  2012        PMID: 22568813     DOI: 10.1094/PHYTO-05-11-0157

Source DB:  PubMed          Journal:  Phytopathology        ISSN: 0031-949X            Impact factor:   4.025


  43 in total

1.  Potential and limits of whole genome prediction of resistance to Fusarium head blight and Septoria tritici blotch in a vast Central European elite winter wheat population.

Authors:  Vilson Mirdita; Sang He; Yusheng Zhao; Viktor Korzun; Reiner Bothe; Erhard Ebmeyer; Jochen C Reif; Yong Jiang
Journal:  Theor Appl Genet       Date:  2015-09-08       Impact factor: 5.699

2.  Relatedness severely impacts accuracy of marker-assisted selection for disease resistance in hybrid wheat.

Authors:  M Gowda; Y Zhao; T Würschum; C F H Longin; T Miedaner; E Ebmeyer; R Schachschneider; E Kazman; J Schacht; J-P Martinant; M F Mette; J C Reif
Journal:  Heredity (Edinb)       Date:  2013-12-18       Impact factor: 3.821

3.  Problem formulation and phenotypic characterisation for the development of novel crops.

Authors:  Alan Raybould
Journal:  Transgenic Res       Date:  2019-08       Impact factor: 2.788

4.  A gene encoding maize caffeoyl-CoA O-methyltransferase confers quantitative resistance to multiple pathogens.

Authors:  Qin Yang; Yijian He; Mercy Kabahuma; Timothy Chaya; Amy Kelly; Eli Borrego; Yang Bian; Farid El Kasmi; Li Yang; Paulo Teixeira; Judith Kolkman; Rebecca Nelson; Michael Kolomiets; Jeffery L Dangl; Randall Wisser; Jeffrey Caplan; Xu Li; Nick Lauter; Peter Balint-Kurti
Journal:  Nat Genet       Date:  2017-07-24       Impact factor: 38.330

5.  Improving resistance to the European corn borer: a comprehensive study in elite maize using QTL mapping and genome-wide prediction.

Authors:  Flavio Foiada; Peter Westermeier; Bettina Kessel; Milena Ouzunova; Valentin Wimmer; Wolfgang Mayerhofer; Thomas Presterl; Michael Dilger; Ralph Kreps; Joachim Eder; Chris-Carolin Schön
Journal:  Theor Appl Genet       Date:  2015-03-11       Impact factor: 5.699

6.  Potential and limits to unravel the genetic architecture and predict the variation of Fusarium head blight resistance in European winter wheat (Triticum aestivum L.).

Authors:  Y Jiang; Y Zhao; B Rodemann; J Plieske; S Kollers; V Korzun; E Ebmeyer; O Argillier; M Hinze; J Ling; M S Röder; M W Ganal; M F Mette; J C Reif
Journal:  Heredity (Edinb)       Date:  2014-11-12       Impact factor: 3.821

7.  Harnessing Effector-Triggered Immunity for Durable Disease Resistance.

Authors:  Meixiang Zhang; Gitta Coaker
Journal:  Phytopathology       Date:  2017-05-30       Impact factor: 4.025

Review 8.  Prediction of malting quality traits in barley based on genome-wide marker data to assess the potential of genomic selection.

Authors:  Malthe Schmidt; Sonja Kollers; Anja Maasberg-Prelle; Jörg Großer; Burkhard Schinkel; Alexandra Tomerius; Andreas Graner; Viktor Korzun
Journal:  Theor Appl Genet       Date:  2015-12-09       Impact factor: 5.699

9.  Development of a diagnostic co-dominant marker for stem rust resistance gene Sr47 introgressed from Aegilops speltoides into durum wheat.

Authors:  Guotai Yu; Daryl L Klindworth; Timothy L Friesen; Justin D Faris; Shaobin Zhong; Jack B Rasmussen; Steven S Xu
Journal:  Theor Appl Genet       Date:  2015-08-11       Impact factor: 5.699

10.  Pepper mildew resistance locus O interacts with pepper calmodulin and suppresses Xanthomonas AvrBsT-triggered cell death and defense responses.

Authors:  Dae Sung Kim; Hyong Woo Choi; Byung Kook Hwang
Journal:  Planta       Date:  2014-07-30       Impact factor: 4.116

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