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3 results on '"Fabrice Roux"'

1. The ecologically relevant genetics of plant–plant interactions

Author

Claude Becker, Richard Berthomé, Philippe Delavault, Timothée Flutre, Hélène Fréville, Stéphanie Gibot-Leclerc, Valérie Le Corre, Jean-Benoit Morel, Nathalie Moutier, Stéphane Muños, Céline Richard-Molard, James Westwood, Pierre-Emmanuel Courty, Alexandre de Saint Germain, Gaëtan Louarn, Fabrice Roux, Ludwig-Maximilians University [Munich] (LMU), Laboratoire des Interactions Plantes Microbes Environnement (LIPME), Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Unité en Sciences Biologiques et Biotechnologies de Nantes (US2B), Centre National de la Recherche Scientifique (CNRS)-Nantes Université - UFR de Médecine et des Techniques Médicales (Nantes Univ - UFR MEDECINE), Nantes Université - pôle Santé, Nantes Université (Nantes Univ)-Nantes Université (Nantes Univ)-Nantes Université - pôle Santé, Nantes Université (Nantes Univ)-Nantes Université (Nantes Univ), Génétique Quantitative et Evolution - Le Moulon (Génétique Végétale) (GQE-Le Moulon), AgroParisTech-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Amélioration génétique et adaptation des plantes méditerranéennes et tropicales (UMR AGAP), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut Agro Montpellier, 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 Montpellier (UM), Agroécologie [Dijon], Université de Bourgogne (UB)-Université Bourgogne Franche-Comté [COMUE] (UBFC)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut Agro Dijon, 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), Plant Health Institute of Montpellier (UMR PHIM), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut de Recherche pour le Développement (IRD)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut Agro Montpellier, 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, Ecologie fonctionnelle et écotoxicologie des agroécosystèmes (ECOSYS), AgroParisTech-Université Paris-Saclay-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Virginia Tech [Blacksburg], Institut Jean-Pierre Bourgin (IJPB), Unité de Recherche Pluridisciplinaire Prairies et Plantes Fourragères (P3F), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), and This International PLANTCOM network is financially supported by the Plant Health and Environment division of INRAE.

Subjects
environmental stresses, genotype-by-genotype interactions, [SDE]Environmental Sciences, microbiome, agro-ecology, Plant Science, ecological genomics, plant communities
Abstract

International audience; Interactions among plants have been long recognized as a major force driving plant community dynamics and crop yield. Surprisingly, our knowledge of the ecological genetics associated with variation of plant-plant interactions remains limited. In this opinion article by scientists from complementary disciplines, the international PLANTCOM network identified four timely questions to foster a better understanding of the mechanisms mediating plant assemblages. We propose that by identifying the key relationships among phenotypic traits involved in plant-plant interactions and the underlying adaptive genetic and molecular pathways, while considering environmental fluctuations at diverse spatial and time scales, we can improve predictions of genotype-by-genotype-by-environment interactions and modeling of productive and stable plant assemblages in wild habitats and crop fields.

Published
2023
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2. Genome-wide association studies in plant pathosystems: success or failure?

Author

Choghag Demirjian, Fabienne Vailleau, Richard Berthomé, Fabrice Roux, Laboratoire des Interactions Plantes Microbes Environnement (LIPME), Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), ANR-10-LABX-0041,TULIP,Towards a Unified theory of biotic Interactions: the roLe of environmental(2010), and European Project: 951444 - PATHOCOM

Subjects
[SDV.BIO]Life Sciences [q-bio]/Biotechnology, [SDV]Life Sciences [q-bio], [SDE]Environmental Sciences, Plant Science, [SDV.BV.BOT]Life Sciences [q-bio]/Vegetal Biology/Botanics
Abstract

International audience; Harnessing natural genetic variation is an established alternative to artificial genetic variation for investigating the molecular dialog between partners in plant pathosystems. Herein, we review the successes of genome-wide association studies (GWAS) in both plants and pathogens. While GWAS in plants confirmed that the genetic architecture of disease resistance is polygenic, dynamic during the infection kinetics, and dependent on the environment, GWAS shortened the time of identification of quantitative trait loci (QTLs) and revealed both complex epistatic networks and a genetic architecture dependent upon the geographical scale. A similar picture emerges from the few GWAS in pathogens. In addition, the ever-increasing number of functionally validated QTLs has revealed new molecular plant defense mechanisms and pathogenicity determinants. Finally, we propose recommendations to better decode the disease triangle.

Published
2022
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3. How to be early flowering: an evolutionary perspective

Author

Joël Cuguen, Valérie Le Corre, Fabrice Roux, Pascal Touzet, Génétique et évolution des populations végétales (GEPV), and Université de Lille, Sciences et Technologies-Centre National de la Recherche Scientifique (CNRS)

Subjects
GENETIC VARIATION, 0106 biological sciences, Crops, Agricultural, Time Factors, Quantitative Trait Loci, Adaptation, Biological, Arabidopsis, Population genetics, NATURAL VARIATION, Plant Science, Flowers, Quantitative trait locus, Biology, Breeding, Genes, Plant, 01 natural sciences, 03 medical and health sciences, POPULATION GENETICS, Genetic variation, Arabidopsis thaliana, Humans, Selection, Genetic, ADAPTATION, Gene, Selection (genetic algorithm), Plant Physiological Phenomena, 030304 developmental biology, 2. Zero hunger, 0303 health sciences, [SDV.GEN.GPO]Life Sciences [q-bio]/Genetics/Populations and Evolution [q-bio.PE], Ecology, fungi, ARABIDOPSIS THALIANA, food and beverages, LATITUDINAL CLINE, FRIGIDA, ECOPHYSIOLOGIE, 15. Life on land, biology.organism_classification, Biological Evolution, TRAIT, Trait, TIMES GENES, GENETIQUE DES POPULATIONS, Adaptation, 010606 plant biology & botany
Abstract

International audience; In wild and cultivated annual plant species, flowering time is an important life-history trait that coordinates the life cycle with local environmental conditions. Extensive studies on the genetic basis of flowering time in the model species Arabidopsis thaliana have revealed a complex genetic network that can detect environmental and internal signals. Based on this knowledge and on known pleiotropic effects associated with flowering time genes, we suggest that a natural shift towards an early-flowering life cycle might involve only particular functional regions in a limited number of genes. Our predictions are supported by genetic theories of adaptation and by recent data about genes associated with natural variation. We analyse the extent to which these predictions can also apply to crop species.

Published
2005
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