Literature DB >> 20012740

A complex genetic network involving a broad-spectrum locus and strain-specific loci controls resistance to different pathotypes of Aphanomyces euteiches in Medicago truncatula.

Céline Hamon1, Alain Baranger, Henri Miteul, Ronan Lecointe, Isabelle Le Goff, Gwenaëlle Deniot, Caroline Onfroy, Anne Moussart, Jean-Marie Prosperi, Bernard Tivoli, Régine Delourme, Marie-Laure Pilet-Nayel.   

Abstract

A higher understanding of genetic and genomic bases of partial resistance in plants and their diversity regarding pathogen variability is required for a more durable management of resistance genetic factors in sustainable cropping systems. In this study, we investigated the diversity of genetic factors involved in partial resistance to Aphanomyces euteiches, a very damaging pathogen on pea and alfalfa, in Medicago truncatula. A mapping population of 178 recombinant inbred lines, from the cross F83005.5 (susceptible) and DZA045.5 (resistant), was used to identify quantitative trait loci for resistance to four A. euteiches reference strains belonging to the four main pathotypes currently known on pea and alfalfa. A major broad-spectrum genomic region, previously named AER1, was localized to a reduced 440 kb interval on chromosome 3 and was involved in complete or partial resistance, depending on the A. euteiches strain. We also identified 21 additive and/or epistatic genomic regions specific to one or two strains, several of them being anchored to the M. truncatula physical map. These results show that, in M. truncatula, a complex network of genetic loci controls partial resistance to different pea and alfalfa pathotypes of A. euteiches, suggesting a diversity of molecular mechanisms underlying partial resistance.

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Year:  2009        PMID: 20012740     DOI: 10.1007/s00122-009-1224-x

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


  61 in total

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Review 3.  Shades of gray: the world of quantitative disease resistance.

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4.  Natural variation in the Pto disease resistance gene within species of wild tomato (Lycopersicon). II. Population genetics of Pto.

Authors:  Laura E Rose; Richard W Michelmore; Charles H Langley
Journal:  Genetics       Date:  2006-12-18       Impact factor: 4.562

5.  Candidate defense genes from rice, barley, and maize and their association with qualitative and quantitative resistance in rice.

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

6.  Proteomic approach: identification of Medicago truncatula proteins induced in roots after infection with the pathogenic oomycete Aphanomyces euteiches.

Authors:  Frank Colditz; Oyunbileg Nyamsuren; Karsten Niehaus; Holger Eubel; Hans-Peter Braun; Franziska Krajinski
Journal:  Plant Mol Biol       Date:  2004-05       Impact factor: 4.076

7.  Partial resistance of Medicago truncatula to Aphanomyces euteiches is associated with protection of the root stele and is controlled by a major QTL rich in proteasome-related genes.

Authors:  Naceur Djébali; Alain Jauneau; Carine Ameline-Torregrosa; Fabien Chardon; Valérie Jaulneau; Catherine Mathé; Arnaud Bottin; Marc Cazaux; Marie-Laure Pilet-Nayel; Alain Baranger; Mohamed Elarbi Aouani; Marie-Thérèse Esquerré-Tugayé; Bernard Dumas; Thierry Huguet; Christophe Jacquet
Journal:  Mol Plant Microbe Interact       Date:  2009-09       Impact factor: 4.171

8.  AER1, a major gene conferring resistance to Aphanomyces euteiches in Medicago truncatula.

Authors:  M-L Pilet-Nayel; J-M Prospéri; C Hamon; A Lesné; R Lecointe; I Le Goff; M Hervé; G Deniot; M Delalande; T Huguet; C Jacquet; A Baranger
Journal:  Phytopathology       Date:  2009-02       Impact factor: 4.025

9.  Silencing of PR-10-like proteins in Medicago truncatula results in an antagonistic induction of other PR proteins and in an increased tolerance upon infection with the oomycete Aphanomyces euteiches.

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Journal:  Planta       Date:  2007-01-20       Impact factor: 4.540

10.  AphanoDB: a genomic resource for Aphanomyces pathogens.

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Journal:  BMC Genomics       Date:  2007-12-20       Impact factor: 3.969

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  12 in total

1.  Comparison of systemic and local interactions between the arbuscular mycorrhizal fungus Funneliformis mosseae and the root pathogen Aphanomyces euteiches in Medicago truncatula.

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Journal:  Mycorrhiza       Date:  2014-01-14       Impact factor: 3.387

2.  New consistent QTL in pea associated with partial resistance to Aphanomyces euteiches in multiple French and American environments.

Authors:  Céline Hamon; Alain Baranger; Clarice J Coyne; Rebecca J McGee; Isabelle Le Goff; Virginie L'anthoëne; Robert Esnault; Jean-Philippe Rivière; Anthony Klein; Pierre Mangin; Kevin E McPhee; Martine Roux-Duparque; Lyndon Porter; Henri Miteul; Angélique Lesné; Gérard Morin; Caroline Onfroy; Anne Moussart; Bernard Tivoli; Régine Delourme; Marie-Laure Pilet-Nayel
Journal:  Theor Appl Genet       Date:  2011-04-11       Impact factor: 5.699

3.  Genetic variability and QTL mapping of freezing tolerance and related traits in Medicago truncatula.

Authors:  Komlan Avia; Marie-Laure Pilet-Nayel; Nasser Bahrman; Alain Baranger; Bruno Delbreil; Véronique Fontaine; Céline Hamon; Eric Hanocq; Martine Niarquin; Hélène Sellier; Christophe Vuylsteker; Jean-Marie Prosperi; Isabelle Lejeune-Hénaut
Journal:  Theor Appl Genet       Date:  2013-06-19       Impact factor: 5.699

4.  Bean pod mottle virus: a new powerful tool for functional genomics studies in Pisum sativum.

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5.  Mapping the genetic basis of symbiotic variation in legume-rhizobium interactions in Medicago truncatula.

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Journal:  G3 (Bethesda)       Date:  2012-11-01       Impact factor: 3.154

6.  QTL meta-analysis provides a comprehensive view of loci controlling partial resistance to Aphanomyces euteiches in four sources of resistance in pea.

Authors:  Céline Hamon; Clarice J Coyne; Rebecca J McGee; Angélique Lesné; Robert Esnault; Pierre Mangin; Marie Hervé; Isabelle Le Goff; Gwenaëlle Deniot; Martine Roux-Duparque; Gérard Morin; Kevin E McPhee; Régine Delourme; Alain Baranger; Marie-Laure Pilet-Nayel
Journal:  BMC Plant Biol       Date:  2013-03-16       Impact factor: 4.215

7.  Natural diversity in the model legume Medicago truncatula allows identifying distinct genetic mechanisms conferring partial resistance to Verticillium wilt.

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Journal:  J Exp Bot       Date:  2012-12-03       Impact factor: 6.992

8.  Transcriptome sequencing for high throughput SNP development and genetic mapping in Pea.

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Journal:  BMC Genomics       Date:  2014-02-12       Impact factor: 3.969

9.  Single and multiple resistance QTL delay symptom appearance and slow down root colonization by Aphanomyces euteiches in pea near isogenic lines.

Authors:  C Lavaud; M Baviere; G Le Roy; M R Hervé; A Moussart; R Delourme; M-L Pilet-Nayel
Journal:  BMC Plant Biol       Date:  2016-07-27       Impact factor: 4.215

10.  A rapid method for profiling of volatile and semi-volatile phytohormones using methyl chloroformate derivatisation and GC-MS.

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Journal:  Metabolomics       Date:  2015-09-08       Impact factor: 4.290

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