Literature DB >> 21901548

Fine mapping and comparative genomics integration of two quantitative trait loci controlling resistance to powdery mildew in a Spanish barley landrace.

Cristina Silvar1, Dragan Perovic, Uwe Scholz, Ana M Casas, Ernesto Igartua, Frank Ordon.   

Abstract

The intervals containing two major quantitative trait loci (QTL) from a Spanish barley landrace conferring broad spectrum resistance to Blumeria graminis were subjected to marker saturation. First, all the available information on recently developed marker resources for barley was exploited. Then, a comparative genomic analysis of the QTL regions with other sequenced grass model species was performed. As a result of the first step, 32 new markers were added to the previous map and new flanking markers closer to both QTL were identified. Next, syntenic integration revealed that the barley target regions showed homology with regions on chromosome 6 of rice (Oryza sativa), chromosome 10 of Sorghum bicolor and chromosome 1 of Brachypodium distachyon. A nested insertion of ancestral syntenic blocks on Brachypodium chromosome 1 was confirmed. Based on sequence information of the most likely candidate orthologous genes, 23 new barley unigene-derived markers were developed and mapped within the barley target regions. The assessment of colinearity revealed an inversion on chromosome 7HL of barley compared to the other three grass species, and nearly perfect colinearity on chromosome 7HS. This two-step marker enrichment allowed for the refinement of the two QTL into much smaller intervals. Inspection of all predicted proteins for the barley unigenes identified within the QTL intervals did not reveal the presence of resistance gene candidates. This study demonstrates the usefulness of sequenced genomes for fine mapping and paves the way for the use of these two loci in barley breeding programs.

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Year:  2011        PMID: 21901548     DOI: 10.1007/s00122-011-1686-5

Source DB:  PubMed          Journal:  Theor Appl Genet        ISSN: 0040-5752            Impact factor:   5.699


  57 in total

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Journal:  Theor Appl Genet       Date:  2006-06-01       Impact factor: 5.699

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7.  Resistance to powdery mildew in Spanish barley landraces is controlled by different sets of quantitative trait loci.

Authors:  C Silvar; A M Casas; E Igartua; L J Ponce-Molina; M P Gracia; G Schweizer; M Herz; K Flath; R Waugh; D Kopahnke; F Ordon
Journal:  Theor Appl Genet       Date:  2011-07-08       Impact factor: 5.699

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Journal:  Plant Cell       Date:  2011-05-27       Impact factor: 11.277

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Review 2.  Brachypodium as an emerging model for cereal-pathogen interactions.

Authors:  Timothy L Fitzgerald; Jonathan J Powell; Katharina Schneebeli; M Mandy Hsia; Donald M Gardiner; Jennifer N Bragg; C Lynne McIntyre; John M Manners; Mick Ayliffe; Michelle Watt; John P Vogel; Robert J Henry; Kemal Kazan
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Journal:  Theor Appl Genet       Date:  2013-03-02       Impact factor: 5.699

4.  The gene conferring susceptibility to spot blotch caused by Cochliobolus sativus is located at the Mla locus in barley cultivar Bowman.

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5.  Towards positional isolation of three quantitative trait loci conferring resistance to powdery mildew in two Spanish barley landraces.

Authors:  Cristina Silvar; Dragan Perovic; Thomas Nussbaumer; Manuel Spannagl; Björn Usadel; Ana Casas; Ernesto Igartua; Frank Ordon
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7.  Isolation and fine mapping of Rps6: an intermediate host resistance gene in barley to wheat stripe rust.

Authors:  Andrew M Dawson; John N Ferguson; Matthew Gardiner; Phon Green; Amelia Hubbard; Matthew J Moscou
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Review 8.  Specific Resistance of Barley to Powdery Mildew, Its Use and Beyond. A Concise Critical Review.

Authors:  Antonín Dreiseitl
Journal:  Genes (Basel)       Date:  2020-08-21       Impact factor: 4.096

9.  You Had Me at "MAGIC"!: Four Barley MAGIC Populations Reveal Novel Resistance QTL for Powdery Mildew.

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10.  Collinearity Analysis and High-Density Genetic Mapping of the Wheat Powdery Mildew Resistance Gene Pm40 in PI 672538.

Authors:  Shengfu Zhong; Lixia Ma; Syeda Akash Fatima; Jiezhi Yang; Wanquan Chen; Taiguo Liu; Yuting Hu; Qing Li; Jingwei Guo; Min Zhang; Li Lei; Xin Li; Shengwen Tang; Peigao Luo
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  10 in total

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