Literature DB >> 16896710

Powdery mildew resistance in roses: QTL mapping in different environments using selective genotyping.

M Linde1, A Hattendorf, H Kaufmann, Th Debener.   

Abstract

Podosphaera pannosa, the causal agent of rose powdery mildew, hampers the production of cut roses throughout the world. A major tool to control this disease is the use of resistant plant material. Single resistance genes, like Rpp1, may be overcome within a few years by high risk pathogens like powdery mildews. Durable resistance could be achieved using quantitative resistances. Here we describe mapping of QTLs for resistance to P. pannosa in six different environments (artificial and natural infections in the greenhouse over 3 years and natural infections in the field over 2 years). AFLPs, RGAs and other marker types were used to construct an integrated linkage map for the diploid population 97/7 containing 233 markers. In a selective genotyping procedure, marker segregation was analysed for 170 of the up to 270 phenotyped individuals. We identified seven linkage groups with an average length of 60 cM, corresponding to seven rose chromosomes in the haploid set. Using an LOD significance threshold of 3.9 we detected a total of 28 QTLs for the nine powdery mildew disease scores under analysis. Using the data from artificial inoculations with powdery mildew race 9, three resistance QTLs explaining about 84% of the variability were mapped. Twelve and 15 QTLs were detected for resistance to naturally occurring infections in the greenhouse and in the field, respectively, over several years.

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Year:  2006        PMID: 16896710     DOI: 10.1007/s00122-006-0367-2

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


  32 in total

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3.  QTL mapping and quantitative disease resistance in plants.

Authors:  N D Young
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4.  Mapping mendelian factors underlying quantitative traits using RFLP linkage maps.

Authors:  E S Lander; D Botstein
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Review 5.  QTL mapping in rice.

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6.  High resolution of quantitative traits into multiple loci via interval mapping.

Authors:  R C Jansen; P Stam
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Authors:  J Ramalingam; C M Vera Cruz; K Kukreja; J M Chittoor; J L Wu; S W Lee; M Baraoidan; M L George; M B Cohen; S H Hulbert; J E Leach; H Leung
Journal:  Mol Plant Microbe Interact       Date:  2003-01       Impact factor: 4.171

8.  Identification of R-gene homologous DNA fragments genetically linked to disease resistance loci in Arabidopsis thaliana.

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9.  Isolation and identification of eight races of powdery mildew of roses (Podosphaera pannosa) (Wallr.: Fr.) de Bary and the genetic analysis of the resistance gene Rpp1.

Authors:  M Linde; Th Debener
Journal:  Theor Appl Genet       Date:  2003-03-19       Impact factor: 5.699

10.  Negative regulation of defense responses in plants by a conserved MAPKK kinase.

Authors:  C A Frye; D Tang; R W Innes
Journal:  Proc Natl Acad Sci U S A       Date:  2001-01-02       Impact factor: 11.205

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  23 in total

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Journal:  Theor Appl Genet       Date:  2010-10-10       Impact factor: 5.699

3.  Biosynthesis of 2-Phenylethanol in Rose Petals Is Linked to the Expression of One Allele of RhPAAS.

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Review 4.  Genetics and genomics of flower initiation and development in roses.

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Journal:  J Exp Bot       Date:  2013-01-29       Impact factor: 6.992

5.  Biotrophy at Its Best: Novel Findings and Unsolved Mysteries of the Arabidopsis-Powdery Mildew Pathosystem.

Authors:  Hannah Kuhn; Mark Kwaaitaal; Stefan Kusch; Johanna Acevedo-Garcia; Hongpo Wu; Ralph Panstruga
Journal:  Arabidopsis Book       Date:  2016-06-30

6.  Genetic dissection of scent metabolic profiles in diploid rose populations.

Authors:  M Spiller; R G Berger; Thomas Debener
Journal:  Theor Appl Genet       Date:  2010-01-19       Impact factor: 5.699

7.  Molecular markers from a BAC contig spanning the Rdr1 locus: a tool for marker-assisted selection in roses.

Authors:  Anja Biber; Helgard Kaufmann; Marcus Linde; Monika Spiller; Diro Terefe; Thomas Debener
Journal:  Theor Appl Genet       Date:  2009-11-13       Impact factor: 5.699

8.  Identification and QTL Analysis of Flavonoids and Carotenoids in Tetraploid Roses Based on an Ultra-High-Density Genetic Map.

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Journal:  Front Plant Sci       Date:  2021-06-11       Impact factor: 5.753

9.  Isolation, Molecular Characterization, and Mapping of Four Rose MLO Orthologs.

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Review 10.  Molecular genetics and genomics of the Rosoideae: state of the art and future perspectives.

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