Search

Your search keyword '"Henri Miteul"' showing total 10 results
Start Over Author "Henri Miteul" Publication Year Range Last 50 years
10 results on '"Henri Miteul"'

1. Advanced backcross QTL analysis and comparative mapping with RIL QTL studies and GWAS provide an overview of QTL and marker haplotype diversity for resistance to Aphanomyces root rot in pea (Pisum sativum)

Author

Théo Leprévost, Gilles Boutet, Angélique Lesné, Jean-Philippe Rivière, Pierrick Vetel, Isabelle Glory, Henri Miteul, Anaïs Le Rat, Philippe Dufour, Catherine Regnault-Kraut, Akiko Sugio, Clément Lavaud, and Marie-Laure Pilet-Nayel

Subjects
Aphanomyces euteiches, sources of resistance, AB populations, integrative study, SNPs, Plant culture, SB1-1110
Abstract

Aphanomyces euteiches is the most damaging soilborne pea pathogen in France. Breeding of pea resistant varieties combining a diversity of quantitative trait loci (QTL) is a promising strategy considering previous research achievements in dissecting polygenic resistance to A. euteiches. The objective of this study was to provide an overview of the diversity of QTL and marker haplotypes for resistance to A. euteiches, by integrating a novel QTL mapping study in advanced backcross (AB) populations with previous QTL analyses and genome-wide association study (GWAS) using common markers. QTL analysis was performed in two AB populations derived from the cross between the susceptible spring pea variety “Eden” and the two new sources of partial resistance “E11” and “LISA”. The two AB populations were genotyped using 993 and 478 single nucleotide polymorphism (SNP) markers, respectively, and phenotyped for resistance to A. euteiches in controlled conditions and in infested fields at two locations. GWAS and QTL mapping previously reported in the pea-Aphanomyces collection and from four recombinant inbred line (RIL) populations, respectively, were updated using a total of 1,850 additional markers, including the markers used in the Eden x E11 and Eden x LISA populations analysis. A total of 29 resistance-associated SNPs and 171 resistance QTL were identified by GWAS and RIL or AB QTL analyses, respectively, which highlighted 10 consistent genetic regions confirming the previously reported QTL. No new consistent resistance QTL was detected from both Eden x E11 and Eden x LISA AB populations. However, a high diversity of resistance haplotypes was identified at 11 linkage disequilibrium (LD) blocks underlying consistent genetic regions, especially in 14 new sources of resistance from the pea-Aphanomyces collection. An accumulation of favorable haplotypes at these 11 blocks was confirmed in the most resistant pea lines of the collection. This study provides new SNP markers and rare haplotypes associated with the diversity of Aphanomyces root rot resistance QTL investigated, which will be useful for QTL pyramiding strategies to increase resistance levels in future pea varieties.

Published
2023
Full Text
View/download PDF

2. Comparative Genome-Wide-Association Mapping Identifies Common Loci Controlling Root System Architecture and Resistance to Aphanomyces euteiches in Pea

Author

Aurore Desgroux, Valentin N. Baudais, Véronique Aubert, Gwenola Le Roy, Henri de Larambergue, Henri Miteul, Grégoire Aubert, Gilles Boutet, Gérard Duc, Alain Baranger, Judith Burstin, Maria Manzanares-Dauleux, Marie-Laure Pilet-Nayel, and Virginie Bourion

Subjects
root system architecture, disease resistance, Pisum sativum, GWAS, root rot, Plant culture, SB1-1110
Abstract

Combining plant genetic resistance with architectural traits that are unfavorable to disease development is a promising strategy for reducing epidemics. However, few studies have identified root system architecture (RSA) traits with the potential to limit root disease development. Pea is a major cultivated legume worldwide and has a wide level of natural genetic variability for plant architecture. The root pathogen Aphanomyces euteiches is a major limiting factor of pea crop yield. This study aimed to increase the knowledge on the diversity of loci and candidate genes controlling RSA traits in pea and identify RSA genetic loci associated with resistance to A. euteiches which could be combined with resistance QTL in breeding. A comparative genome wide association (GWA) study of plant architecture and resistance to A. euteiches was conducted at the young plant stage in a collection of 266 pea lines contrasted for both traits. The collection was genotyped using 14,157 SNP markers from recent pea genomic resources. It was phenotyped for ten root, shoot and overall plant architecture traits, as well as three disease resistance traits in controlled conditions, using image analysis. We identified a total of 75 short-size genomic intervals significantly associated with plant architecture and overlapping with 46 previously detected QTL. The major consistent intervals included plant shoot architecture or flowering genes (PsLE, PsTFL1) with putative pleiotropic effects on root architecture. A total of 11 genomic intervals were significantly associated with resistance to A. euteiches confirming several consistent previously identified major QTL. One significant SNP, mapped to the major QTL Ae-Ps7.6, was associated with both resistance and RSA traits. At this marker, the resistance-enhancing allele was associated with an increased total root projected area, in accordance with the correlation observed between resistance and larger root systems in the collection. Seven additional intervals associated with plant architecture overlapped with GWA intervals previously identified for resistance to A. euteiches. This study provides innovative results about genetic interdependency of root disease resistance and RSA inheritance. It identifies pea lines, QTL, closely-linked markers and candidate genes for marker-assisted-selection of RSA loci to reduce Aphanomyces root rot severity in future pea varieties.

Published
2018
Full Text
View/download PDF

3. Five Regions of the Pea Genome Co-Control Partial Resistance to D. pinodes, Tolerance to Frost, and Some Architectural or Phenological Traits

Author

Baranger, Gilles Boutet, Clément Lavaud, Angélique Lesné, Henri Miteul, Marie-Laure Pilet-Nayel, Didier Andrivon, Isabelle Lejeune-Hénaut, and Alain

Subjects
frost tolerance, Ascochyta blight, quantitative resistance, multi-stress, flowering, plant architecture, Pisum sativum, QTL, genetic mapping, colocalization, RILs
Abstract

Evidence for reciprocal links between plant responses to biotic or abiotic stresses and architectural and developmental traits has been raised using approaches based on epidemiology, physiology, or genetics. Winter pea has been selected for years for many agronomic traits contributing to yield, taking into account architectural or phenological traits such as height or flowering date. It remains nevertheless particularly susceptible to biotic and abiotic stresses, among which Didymella pinodes and frost are leading examples. The purpose of this study was to identify and resize QTL localizations that control partial resistance to D. pinodes, tolerance to frost, and architectural or phenological traits on pea dense genetic maps, considering how QTL colocalizations may impact future winter pea breeding. QTL analysis revealed five metaQTLs distributed over three linkage groups contributing to both D. pinodes disease severity and frost tolerance. At these loci, the haplotypes of alleles increasing both partial resistance to D. pinodes and frost tolerance also delayed the flowering date, increased the number of branches, and/or decreased the stipule length. These results question both the underlying mechanisms of the joint control of biotic stress resistance, abiotic stress tolerance, and plant architecture and phenology and the methods of marker-assisted selection optimizing stress control and productivity in winter pea breeding.

Published
2023
Full Text
View/download PDF

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

Author

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, Marie-Laure Pilet-Nayel, Jean-Christophe Simon, Akiko Sugio, Institut de Génétique, Environnement et Protection des Plantes (IGEPP), Université de Rennes (UR)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut Agro Rennes Angers, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), Direction de l'évaluation, de la prospective et de la performance (DEPP), Ministère de l'Education nationale, de l’Enseignement supérieur et de la Recherche (M.E.N.E.S.R.), Agroécologie [Dijon], Université de Bourgogne (UB)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Université Bourgogne Franche-Comté [COMUE] (UBFC)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Different parts of the presented work were funded byPlant2Pro-2018-CharaP, ANR-P-Aphid (ANR-18-CE20-0021–01),ANR-Mecadapt (ANR-18-CE02-0012) and ANR-PeaMUST (ANR-11-BTBR-0002). RO is supported by INRAE-SPE, INRAE-BAP andRegion Bretagne PhD grants., ANR-18-CE02-0012,Mecadapt,Mécanismes d'adaptation et de diversification chez un ravageur des cultures(2018), and ANR-18-CE20-0021,P-Aphid,Identification et caractérisation des facteurs de compatibilité et d'incompatibilité chez les plantes et chez les pucerons(2018)

Subjects
[SDV.GEN]Life Sciences [q-bio]/Genetics, [SDV]Life Sciences [q-bio], Quantitative Trait Loci, fungi, Peas, food and beverages, General Medicine, Plant Breeding, Aphids, Genetics, Animals, Agronomy and Crop Science, Biotechnology, Genome-Wide Association Study
Abstract

A genome-wide association study for pea resistance against a pea-adapted biotype and a non-adapted biotype of the aphid, Acyrthosiphon pisum, identified a genomic region conferring resistance to both biotypes. In a context of reduced insecticide use, the development of cultivars resistant to insect pests is crucial for an integrated pest management. Pea (Pisum sativum) is a crop of major importance among cultivated legumes, for the supply of dietary proteins and nitrogen in low-input cropping systems. However, yields of the pea crop have become unstable due to plant parasites. The pea aphid (Acyrthosiphon pisum) is an insect pest species forming a complex of biotypes, each one adapted to feed on one or a few related legume species. This study aimed to identify resistance to A. pisum and the underlying genetic determinism by examining a collection of 240 pea genotypes. The collection was screened against a pea-adapted biotype and a non-adapted biotype of A. pisum to characterize their resistant phenotype. Partial resistance was observed in some pea genotypes exposed to the pea-adapted biotype. Many pea genotypes were completely resistant to non-adapted biotype, but some exhibited partial susceptibility. A genome-wide association study, using pea exome-capture sequencing data, enabled the identification of the major-effect quantitative trait locus ApRVII on the chromosome 7. ApRVII includes linkage disequilibrium blocks significantly associated with resistance to one or both of the two aphid biotypes studied. Finally, we identified candidate genes underlying ApRVII that are potentially involved in plant-aphid interactions and marker haplotypes linked with aphid resistance. This study sets the ground for the functional characterization of molecular pathways involved in pea defence to the aphids but also is a step forward for breeding aphid-resistant cultivars.

Published
2022

5. A local score approach improves GWAS resolution and detects minor QTL: application to Medicago truncatula quantitative disease resistance to multiple Aphanomyces euteiches isolates

Author

Christophe Jacquet, Maxime Bonhomme, Marie-Laure Pilet-Nayel, Yacine Badis, Hélène Navier, Henri Miteul, Bernard Dumas, Ahmed Hajri, Deborah A. Samac, María Inés Fariello, Alain Baranger, Evolution et Diversité Biologique (EDB), Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS), Laboratoire de Génétique Cellulaire (LGC), Ecole Nationale Vétérinaire de Toulouse (ENVT), Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Recherche Agronomique (INRA), Institut de Génétique, Environnement et Protection des Plantes (IGEPP), AGROCAMPUS OUEST-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National de la Recherche Agronomique (INRA), Pathologie Végétale (PaVé), Institut National de la Recherche Agronomique (INRA)-AGROCAMPUS OUEST, Laboratoire de Recherche en Sciences Végétales (LRSV), Centre National de la Recherche Scientifique (CNRS)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées, HEC Paris - Recherche - Hors Laboratoire, Ecole des Hautes Etudes Commerciales (HEC Paris), Supélec Sciences des Systèmes [Gif-sur-Yvette] (E3S), SUPELEC, ANR-16-CE20-0017-01, Agence Nationale de la Recherche (French National Research Agency), Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Institut National de la Recherche Agronomique (INRA)-Ecole Nationale Vétérinaire de Toulouse (ENVT), Institut National de la Recherche Agronomique (INRA)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-AGROCAMPUS OUEST, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), Université Toulouse III - Paul Sabatier (UT3), USDA ARS Cereal Disease Laboratory, University of Minnesota, St. Paul, MN, 55108, USA, Evolution des Interactions Plantes-Microorganismes, Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Université Toulouse III - Paul Sabatier (UT3), AGROCAMPUS OUEST-Institut National de la Recherche Agronomique (INRA), Université de Toulouse (UT)-Université de Toulouse (UT)-Centre National de la Recherche Scientifique (CNRS)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Centre National de la Recherche Scientifique (CNRS), Universidad de la República [Montevideo] (UDELAR), Institut National de la Recherche Agronomique (INRA)-Université de Rennes (UR)-AGROCAMPUS OUEST, United States Department of Agriculture (USDA), Interactions Microbiennes dans la Rhizosphère et les Racines, ANR-16-CE20-0017,DeCoD,Détection de réseaux de gènes Coadaptés par analyse de la Diversité génétique à l'échelle du génome: application à la légumineuse modèle Medicago truncatula(2016), ANR-10-GENM-0007,Immunit-Ae,Diversité des composants génétiques et des mécanismes de résistance à Aphanomyces euteiches chez les légumineuses.(2010), and ANR-10-LABX-0041,TULIP,Towards a Unified theory of biotic Interactions: the roLe of environmental(2010)

Subjects
0106 biological sciences, 0301 basic medicine, Candidate gene, Linkage disequilibrium, Genetic Linkage, [SDV]Life Sciences [q-bio], Quantitative Trait Loci, Locus (genetics), Aphanomyces, Plant disease resistance, Quantitative trait locus, Plant Roots, Polymorphism, Single Nucleotide, 010603 evolutionary biology, 01 natural sciences, Chromosomes, Plant, Linkage Disequilibrium, Article, 03 medical and health sciences, Medicago truncatula, Genetics, [SDV.BV]Life Sciences [q-bio]/Vegetal Biology, ComputingMilieux_MISCELLANEOUS, Genetics (clinical), Disease Resistance, Plant Diseases, Genetic association, biology, Chromosome Mapping, food and beverages, biology.organism_classification, [SDV.BV.PEP]Life Sciences [q-bio]/Vegetal Biology/Phytopathology and phytopharmacy, Phenotype, 030104 developmental biology, Aphanomyces euteiches, Genome-Wide Association Study
Abstract

International audience; Quantitative trait loci (QTL) with small effects, which are pervasive in quantitative phenotypic variation, are difficult to detect in genome-wide association studies (GWAS). To improve their detection, we propose to use a local score approach that accounts for the surrounding signal due to linkage disequilibrium, by accumulating association signals from contiguous single markers. Simulations revealed that, in a GWAS context with high marker density, the local score approach outperforms single SNP p-value-based tests for detecting minor QTL (heritability of 5-10%) and is competitive with regard to alternative methods, which also aggregate p-values. Using more than five million SNPs, this approach was applied to identify loci involved in Quantitative Disease Resistance (QDR) to different isolates of the plant root rot pathogen Aphanomyces euteiches, from a GWAS performed on a collection of 174 accessions of the model legume Medicago truncatula. We refined the position of a previously reported major locus, underlying MYB/NB-ARC/tyrosine kinase candidate genes conferring resistance to two closely related A. euteiches isolates belonging to pea pathotype I. We also discovered a diversity of minor resistance QTL, not detected using p-value-based tests, some of which being putatively shared in response to pea (pathotype I and III) and/or alfalfa (race 1 and 2) isolates. Candidate genes underlying these QTL suggest pathogen effector recognition and plant proteasome as key functions associated with M. truncatula resistance to A. euteiches. GWAS on any organism can benefit from the local score approach to uncover many weak-effect QTL.

Published
2019

6. Impact des QTL de résistance sur l’évolution du pouvoir pathogène des populations d’Aphanomyces euteiches dans des successions culturales de légumineuses

Author

Théo Leprévost, Jean-Philippe Rivière, Gwenola Le Roy, Clément Lavaud, Angélique Lesné, Pierrick Vetel, Isabelle Glory, Henri Miteul, Christophe Le May, Marie-Laure Pilet-Nayel, Institut de Génétique, Environnement et Protection des Plantes (IGEPP), Université de Rennes (UR)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-INSTITUT AGRO Agrocampus Ouest, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-AGROCAMPUS OUEST, and Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)

Subjects
[SDV]Life Sciences [q-bio], ComputingMilieux_MISCELLANEOUS, [SDV.BV.PEP]Life Sciences [q-bio]/Vegetal Biology/Phytopathology and phytopharmacy
Abstract

International audience

Published
2021

7. Comparative genome-wide-association mapping identifies common loci controlling root system architecture and resistance to Aphanomyces euteiches in pea

Author

Aurore Desgroux, Valentin Baudais, Véronique Aubert, Gwenola Le Roy, Henri de Larambergue, Henri Miteul, Gregoire Aubert, Gilles Boutet, Alain Baranger, Judith Burstin, Maria J. Manzanares-Dauleux, Marie-Laure Pilet-Nayel, Virginie Bourion, Agroécologie [Dijon], Université de Bourgogne (UB)-Institut National de la Recherche Agronomique (INRA)-Université Bourgogne Franche-Comté [COMUE] (UBFC)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement, Institut de Génétique, Environnement et Protection des Plantes (IGEPP), Institut National de la Recherche Agronomique (INRA)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-AGROCAMPUS OUEST, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), PISOM, Institut National de la Recherche Agronomique (INRA), Noble Research Institute., ProdInra, Migration, Institut National de la Recherche Agronomique (INRA)-Université de Bourgogne (UB)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Université Bourgogne Franche-Comté [COMUE] (UBFC), and Institut National de la Recherche Agronomique (INRA)-Université de Rennes (UR)-AGROCAMPUS OUEST

Subjects
[SDV] Life Sciences [q-bio], [SDE] Environmental Sciences, [SDV]Life Sciences [q-bio], [SDE]Environmental Sciences, food and beverages, [SDV.BV]Life Sciences [q-bio]/Vegetal Biology, [SDV.BV] Life Sciences [q-bio]/Vegetal Biology
Abstract

BAP GEAPSI INRA; International audience; Plant architecture can contribute to decrease plant susceptibility to pathogens by favoring mechanisms leading to infection escape or increased tolerance. Combining genetic resistance with architectural traits that can negatively impact disease development is thus a strategy of great interest to reduce epidemics. Until now, most strategies exploiting plant architecture have focused on the aerial parts of plants. Few studies have been done on the identification of root system architecture (RSA) traits limiting root disease development and even less on their use in breeding. Aphanomyces euteiches, a soil-borne pathogen infecting roots, is a major limiting factor of pea crop yield. Consistent quantitative trait loci controlling partial resistance were identified in this species [1,2], and other studies reported its RSA as highly variable and under polygenic control [3]. However, the contribution of RSA to resistance to A. euteiches has not yet been explored in pea. To identify common loci controlling RSA and resistance to A. euteiches, we performed a genome wide association (GWA) study using a collection of 266 pea lines contrasted for root architecture or Aphanomyces root rot resistance. The study used recent 14,157 Single Nucleotide Polymorphism resources developed in pea [4,5]. The collection was phenotyped in controlled conditions and using image analysis. The GWA study identified precise genomic regions controlling RSA and common loci associated with resistance to A. euteiches, opening prospects in mining RSA loci in breeding to limit Aphanomyces root rot severity on pea.

Published
2017

8. High-density genome-wide association mapping implicates an F-box encoding gene in Medicago truncatula resistance to Aphanomyces euteiches

Author

Marie-Laure Pilet-Nayel, Hélène Navier, Ahmed Hajri, Joëlle Ronfort, Maxime Bonhomme, Christophe Jacquet, Concetta Burgarella, Peter Tiffin, Frédéric Debellé, Henri Miteul, Alain Baranger, Joann Mudge, Roman Briskine, Nathalie Chantret, Olivier André, Jean Marie Prosperi, Yacine Badis, Bernard Dumas, Nevin D. Young, Laboratoire de Recherche en Sciences Végétales (LRSV), Centre National de la Recherche Scientifique (CNRS)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées, Amélioration génétique et adaptation des plantes méditerranéennes et tropicales (UMR AGAP), Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro)-Institut National de la Recherche Agronomique (INRA)-Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro), Department of Computer Science and Engineering, University of Minnesota [Twin Cities], University of Minnesota System-University of Minnesota System, National Center for Genome Resources, Laboratoire des interactions plantes micro-organismes (LIPM), Centre National de la Recherche Scientifique (CNRS)-Institut National de la Recherche Agronomique (INRA), Institut de Génétique, Environnement et Protection des Plantes (IGEPP), AGROCAMPUS OUEST-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National de la Recherche Agronomique (INRA), Department of Plant Biology, CNRS, Universite Paul Sabatier, INRA, French Agence Nationale de la Recherche [ANR-10-GENM-0007], US National Science Foundation [IOS-1237993], NGCR, Evolution des Interactions Plantes-Microorganismes, Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Centre National de la Recherche Scientifique (CNRS)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Centre National de la Recherche Scientifique (CNRS), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), University of Minnesota [Twin Cities] (UMN), National center for genome resources (NCGR), Institut National de la Recherche Agronomique (INRA)-Centre National de la Recherche Scientifique (CNRS), Institut National de la Recherche Agronomique (INRA)-Université de Rennes (UR)-AGROCAMPUS OUEST, Interactions Microbiennes dans la Rhizosphère et les Racines, ANR-10-GENM-0007,Immunit-Ae,Diversité des composants génétiques et des mécanismes de résistance à Aphanomyces euteiches chez les légumineuses.(2010), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), Institut National de la Recherche Agronomique (INRA)-Université de Rennes 1 (UR1), and Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-AGROCAMPUS OUEST

Subjects
Candidate gene, Genome-wide association study, F-box protein, Cytokinins, Transcription, Genetic, Physiology, health care facilities, manpower, and services, [SDV]Life Sciences [q-bio], education, Colony Count, Microbial, Single-nucleotide polymorphism, Locus (genetics), partial resistance, Ralstonia, Plant Science, Aphanomyces, Quantitative trait locus, Genes, Plant, Aphanomyces euteiches, Gene Expression Regulation, Plant, Medicago truncatula, oomycete, RNA, Messenger, Gene, health care economics and organizations, Disease Resistance, Plant Diseases, Plant Proteins, Genetics, biology, F-Box Proteins, Chromosome Mapping, biology.organism_classification, root, Up-Regulation, Mutation, Root Nodules, Plant, Signal Transduction, Transcription Factors
Abstract

Summary � The use of quantitative disease resistance (QDR) is a promising strategy for promoting durable resistance to plant pathogens, but genes involved in QDR are largely unknown. To identify genetic components and accelerate improvement of QDR in legumes to the root pathogen Aphanomyces euteiches, we took advantage of both the recently generated massive genomic data for Medicago truncatula and natural variation of this model legume. � A high-density (� 5.1 million single nucleotide polymorphisms (SNPs)) genome-wide association study (GWAS) was performed with both in vitro and glasshouse phenotyping data collected for 179 lines. � GWAS identified several candidate genes and pinpointed two independent major loci on the top of chromosome 3 that were detected in both phenotyping methods. Candidate SNPs in the most significant locus (r 2 = 23%) were in the promoter and coding regions of an F-box protein coding gene. Subsequent qRT-PCR and bioinformatic analyses performed on 20 lines demonstrated that resistance is associated with mutations directly affecting the interaction domain of the F-box protein rather than gene expression. � These results refine the position of previously identified QTL to specific candidate genes, suggest potential molecular mechanisms, and identify new loci explaining QDR against A. euteiches.

Published
2014

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

Author

Virginie L’Anthoëne, R. Esnault, Lyndon D. Porter, Anne Moussart, Martine Roux-Duparque, Isabelle Le Goff, G. Morin, Bernard Tivoli, Céline Hamon, Anthony Klein, Régine Delourme, Jean-Philippe Rivière, Pierre Mangin, Clarice J. Coyne, Alain Baranger, Marie-Laure Pilet-Nayel, Caroline Onfroy, Rebecca J. McGee, Angélique Lesné, Henri Miteul, Kevin E. McPhee, Amélioration des Plantes et Biotechnologies Végétales (APBV), Institut National de la Recherche Agronomique (INRA)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-AGROCAMPUS OUEST, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), United States Department of Agriculture (USDA), UMR 0102 - Unité de Recherche Génétique et Ecophysiologie des Légumineuses, Génétique et Ecophysiologie des Légumineuses à Graines (UMRLEG) (UMR 102), Etablissement National d'Enseignement Supérieur Agronomique de Dijon (ENESAD)-Institut National de la Recherche Agronomique (INRA)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Etablissement National d'Enseignement Supérieur Agronomique de Dijon (ENESAD)-Institut National de la Recherche Agronomique (INRA)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement, Domaine expérimental d'Époisses - UE0115 U2E (DIJ EPOISSES), Institut National de la Recherche Agronomique (INRA), North Dakota State University (NDSU), GSP, Domaine Brunehaut, Biologie des organismes et des populations appliquées à la protection des plantes (BIO3P), AGROCAMPUS OUEST, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National de la Recherche Agronomique (INRA), Union Nationale Interprofessionnelle des plantes riches en Protéines (UNIP), Institut National de la Recherche Agronomique (INRA)-Université de Rennes (UR)-AGROCAMPUS OUEST, and Terres Inovia

Subjects
0106 biological sciences, Genotype, Genetic Linkage, Quantitative Trait Loci, Aphanomyces, Quantitative trait locus, 01 natural sciences, Plant Roots, Chromosomes, Plant, 03 medical and health sciences, Inbred strain, Genetics, Root rot, Crosses, Genetic, 030304 developmental biology, Plant Diseases, 2. Zero hunger, 0303 health sciences, Genetic diversity, [SDV.GEN]Life Sciences [q-bio]/Genetics, Resistance (ecology), biology, Peas, food and beverages, Chromosome Mapping, General Medicine, biology.organism_classification, Immunity, Innate, United States, Phenotype, Epistasis, Aphanomyces euteiches, France, Agronomy and Crop Science, 010606 plant biology & botany, Biotechnology
Abstract

Publication Inra prise en compte dans l'analyse bibliométrique des publications scientifiques mondiales sur les Fruits, les Légumes et la Pomme de terre. Période 2000-2012. http://prodinra.inra.fr/record/256699; International audience; 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

Published
2010

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

Author

Anne Moussart, Bernard Tivoli, Isabelle Le Goff, Céline Hamon, Caroline Onfroy, Alain Baranger, Henri Miteul, Jean-Marie Prosperi, Marie-Laure Pilet-Nayel, Ronan Lecointe, Régine Delourme, Gwenaëlle Deniot, Amélioration des Plantes et Biotechnologies Végétales (APBV), Institut National de la Recherche Agronomique (INRA)-Université de Rennes (UR)-AGROCAMPUS OUEST, Biologie des organismes et des populations appliquées à la protection des plantes (BIO3P), Diversité et adaptation des plantes cultivées (UMR DIAPC), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut National de la Recherche Agronomique (INRA)-Université Montpellier 2 - Sciences et Techniques (UM2), Institut National de la Recherche Agronomique (INRA)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-AGROCAMPUS OUEST, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), and Université Montpellier 2 - Sciences et Techniques (UM2)-Institut National de la Recherche Agronomique (INRA)-Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)

Subjects
0106 biological sciences, Genetic Markers, Genetic Linkage, Population, Molecular Sequence Data, Locus (genetics), Quantitative trait locus, Aphanomyces, Genes, Plant, 01 natural sciences, Chromosomes, Plant, 03 medical and health sciences, Gene interaction, Inbred strain, Gene Expression Regulation, Plant, Medicago truncatula, Genetics, Gene Regulatory Networks, GENETIQUE VEGETALE, education, Crosses, Genetic, 030304 developmental biology, Plant Diseases, 2. Zero hunger, 0303 health sciences, education.field_of_study, [SDV.GEN]Life Sciences [q-bio]/Genetics, biology, fungi, food and beverages, Chromosome Mapping, Epistasis, Genetic, General Medicine, biology.organism_classification, Immunity, Innate, Phenotype, Genetic Loci, Epistasis, Aphanomyces euteiches, Agronomy and Crop Science, 010606 plant biology & botany, Biotechnology
Abstract

International audience; 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.

Published
2009

Catalog

Books, media, physical & digital resources
See catalog results