Literature DB >> 21479935

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

Céline Hamon1, 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.   

Abstract

Partial resistances, often controlled by quantitative trait loci (QTL), are considered to be more durable than monogenic resistances. Therefore, a precursor to developing efficient breeding programs for polygenic resistance to pathogens should be a greater understanding of genetic diversity and stability of resistance QTL in plants. In this study, we deciphered the diversity and stability of resistance QTL to Aphanomyces euteiches in pea towards pathogen variability, environments and scoring criteria, from two new sources of partial resistance (PI 180693 and 552), effective in French and USA infested fields. Two mapping populations of 178 recombinant inbred lines each, derived from crosses between 552 or PI 180693 (partially resistant) and Baccara (susceptible), were used to identify QTL for Aphanomyces root rot resistance in controlled and in multiple French and USA field conditions using several resistance criteria. We identified a total of 135 additive-effect QTL corresponding to 23 genomic regions and 13 significant epistatic interactions associated with partial resistance to A. euteiches in pea. Among the 23 additive-effect genomic regions identified, five were consistently detected, and showed highly stable effects towards A. euteiches strains, environments, resistance criteria, condition tests and RIL populations studied. These results confirm the complexity of inheritance of partial resistance to A. euteiches in pea and provide good bases for the choice of consistent QTL to use in marker-assisted selection schemes to increase current levels of resistance to A. euteiches in pea breeding programs.

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Year:  2011        PMID: 21479935     DOI: 10.1007/s00122-011-1582-z

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


  28 in total

1.  Microsatellite marker polymorphism and mapping in pea (Pisum sativum L.).

Authors:  K Loridon; K McPhee; J Morin; P Dubreuil; M L Pilet-Nayel; G Aubert; C Rameau; A Baranger; C Coyne; I Lejeune-Hènaut; J Burstin
Journal:  Theor Appl Genet       Date:  2005-10-11       Impact factor: 5.699

2.  Marker-assisted selection to introgress rice QTLs controlling root traits into an Indian upland rice variety.

Authors:  K A Steele; A H Price; H E Shashidhar; J R Witcombe
Journal:  Theor Appl Genet       Date:  2005-10-06       Impact factor: 5.699

3.  Connected populations for detecting quantitative trait loci and testing for epistasis: an application in maize.

Authors:  G Blanc; A Charcosset; B Mangin; A Gallais; L Moreau
Journal:  Theor Appl Genet       Date:  2006-05-20       Impact factor: 5.699

4.  Most significant genome regions involved in the control of earliness traits in bread wheat, as revealed by QTL meta-analysis.

Authors:  E Hanocq; A Laperche; O Jaminon; A-L Lainé; J Le Gouis
Journal:  Theor Appl Genet       Date:  2006-12-15       Impact factor: 5.699

5.  Quantitative resistance increases the durability of qualitative resistance to Leptosphaeria maculans in Brassica napus.

Authors:  Hortense Brun; Anne-Marie Chèvre; Bruce D L Fitt; Stephen Powers; Anne-Laure Besnard; Magali Ermel; Virginie Huteau; Bruno Marquer; Frédérique Eber; Michel Renard; Didier Andrivon
Journal:  New Phytol       Date:  2009-10-08       Impact factor: 10.151

6.  Developmental genes have pleiotropic effects on plant morphology and source capacity, eventually impacting on seed protein content and productivity in pea.

Authors:  Judith Burstin; Pascal Marget; Myriam Huart; Annie Moessner; Brigitte Mangin; Christiane Duchene; Bruno Desprez; Nathalie Munier-Jolain; Gérard Duc
Journal:  Plant Physiol       Date:  2007-04-20       Impact factor: 8.340

7.  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

8.  MAPMAKER: an interactive computer package for constructing primary genetic linkage maps of experimental and natural populations.

Authors:  E S Lander; P Green; J Abrahamson; A Barlow; M J Daly; S E Lincoln; L A Newberg; L Newburg
Journal:  Genomics       Date:  1987-10       Impact factor: 5.736

9.  Repetitive DNA in the pea (Pisum sativum L.) genome: comprehensive characterization using 454 sequencing and comparison to soybean and Medicago truncatula.

Authors:  Jirí Macas; Pavel Neumann; Alice Navrátilová
Journal:  BMC Genomics       Date:  2007-11-21       Impact factor: 3.969

10.  AphanoDB: a genomic resource for Aphanomyces pathogens.

Authors:  Mohammed-Amine Madoui; Elodie Gaulin; Catherine Mathé; Hélène San Clemente; Arnaud Couloux; Patrick Wincker; Bernard Dumas
Journal:  BMC Genomics       Date:  2007-12-20       Impact factor: 3.969

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  24 in total

Review 1.  Omics resources and omics-enabled approaches for achieving high productivity and improved quality in pea (Pisum sativum L.).

Authors:  Arun K Pandey; Diego Rubiales; Yonggang Wang; Pingping Fang; Ting Sun; Na Liu; Pei Xu
Journal:  Theor Appl Genet       Date:  2021-01-12       Impact factor: 5.699

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

Authors:  Haoqiang Zhang; Philipp Franken
Journal:  Mycorrhiza       Date:  2014-01-14       Impact factor: 3.387

3.  A major-effect genetic locus, ApRVII, controlling resistance against both adapted and non-adapted aphid biotypes in pea.

Authors:  Marie-Laure Pilet-Nayel; Jean-Christophe Simon; Akiko Sugio; Rémi Ollivier; Isabelle Glory; Romuald Cloteau; Jean-François Le Gallic; Gaëtan Denis; Stéphanie Morlière; Henri Miteul; Jean-Philippe Rivière; Angélique Lesné; Anthony Klein; Grégoire Aubert; Jonathan Kreplak; Judith Burstin
Journal:  Theor Appl Genet       Date:  2022-02-22       Impact factor: 5.699

4.  Validation of QTL for resistance to Aphanomyces euteiches in different pea genetic backgrounds using near-isogenic lines.

Authors:  C Lavaud; A Lesné; C Piriou; G Le Roy; G Boutet; A Moussart; C Poncet; R Delourme; A Baranger; M-L Pilet-Nayel
Journal:  Theor Appl Genet       Date:  2015-07-28       Impact factor: 5.699

5.  Fractionation, stability, and isolate-specificity of QTL for resistance to Phytophthora infestans in cultivated tomato (Solanum lycopersicum).

Authors:  Emily B Johnson; J Erron Haggard; Dina A St Clair
Journal:  G3 (Bethesda)       Date:  2012-10-01       Impact factor: 3.154

Review 6.  Biotechnological approaches in management of oomycetes diseases.

Authors:  Sanjeev Sharma; S Sundaresha; Vinay Bhardwaj
Journal:  3 Biotech       Date:  2021-05-18       Impact factor: 2.893

Review 7.  Genomics-assisted breeding in four major pulse crops of developing countries: present status and prospects.

Authors:  Abhishek Bohra; Manish K Pandey; Uday C Jha; Balwant Singh; Indra P Singh; Dibendu Datta; Sushil K Chaturvedi; N Nadarajan; Rajeev K Varshney
Journal:  Theor Appl Genet       Date:  2014-04-08       Impact factor: 5.699

8.  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

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

Authors:  Cécile Ben; Maoulida Toueni; Sara Montanari; Marie-Claire Tardin; Magalie Fervel; Azam Negahi; Laure Saint-Pierre; Guillaume Mathieu; Marie-Christine Gras; Dominique Noël; Jean-Marie Prospéri; Marie-Laure Pilet-Nayel; Alain Baranger; Thierry Huguet; Bernadette Julier; Martina Rickauer; Laurent Gentzbittel
Journal:  J Exp Bot       Date:  2012-12-03       Impact factor: 6.992

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

Authors:  Jorge Duarte; Nathalie Rivière; Alain Baranger; Grégoire Aubert; Judith Burstin; Laurent Cornet; Clément Lavaud; Isabelle Lejeune-Hénaut; Jean-Pierre Martinant; Jean-Philippe Pichon; Marie-Laure Pilet-Nayel; Gilles Boutet
Journal:  BMC Genomics       Date:  2014-02-12       Impact factor: 3.969

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