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6 results on '"Écophysiologie des Plantes sous Stress environnementaux (LEPSE)"'

1. Identifying developmental phases in theArabidopsis thalianarosette using integrative segmentation models

Author

Maryline Lièvre, Christine Granier, Yann Guédon, Écophysiologie des Plantes sous Stress environnementaux (LEPSE), 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), Modeling plant morphogenesis at different scales, from genes to phenotype (VIRTUAL PLANTS), Inria Sophia Antipolis - Méditerranée (CRISAM), Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de la Recherche Agronomique (INRA)-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 la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro)-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), 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 la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), 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)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro), Institut National de la Recherche Agronomique (INRA)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), 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)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut National de la Recherche Agronomique (INRA)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), 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)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad), 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)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro)-Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro), 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), 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)

Subjects
0106 biological sciences, 0301 basic medicine, Genotype, Arabidopsis thaliana, Physiology, Ontogeny, heteroblasty, Arabidopsis, F62 - Physiologie végétale - Croissance et développement, Plant Science, 01 natural sciences, Rosette (botany), 03 medical and health sciences, [MATH.MATH-ST]Mathematics [math]/Statistics [math.ST], Botany, Image Processing, Computer-Assisted, Leaf size, Segmentation, [SDV.BDD]Life Sciences [q-bio]/Development Biology, Models, Statistical, biology, U10 - Informatique, mathématiques et statistiques, semi-Markov switching model, segmentation model, multiscale analysis, shoot development, biology.organism_classification, Plant Leaves, Plant development, Phenotype, 030104 developmental biology, Seedlings, Evolutionary biology, Mutation, Trait, 010606 plant biology & botany
Abstract

International audience; The change in leaf size and shape during ontogeny associated with heteroblastic development is a composite trait for which extensive spatiotemporal data can be acquired using phe-notyping platforms. However, only part of the information contained in such data is exploited, and developmental phases are usually defined using a selected organ trait. We here introduce new methods for identifying developmental phases in the Arabidopsis rosette using various traits and minimum a priori assumptions. A pipeline of analysis was developed combining image analysis and statistical models to integrate morphological, shape, dimensional and expansion dynamics traits for the successive leaves of the Arabidopsis rosette. Dedicated segmentation models called semi-Markov switching models were built for selected genotypes in order to identify rosette developmental phases. Four successive developmental phases referred to as seedling, juvenile, transition and adult were identified for the different genotypes. We show that the degree of covering of the leaf abaxial surface with trichomes is insufficient to define these developmental phases. Using our pipeline of analysis, we were able to identify the supplementary seedling phase and to uncover the structuring role of various leaf traits. This enabled us to compare on a more objective basis the vegetative development of Arabidopsis mutants.

Published
2016

2. Dealing with multi-source and multi-scale information in plant phenomics: the ontology-driven Phenotyping Hybrid Information System

Author

François Tardieu, Romain Chapuis, Vincent Negre, Jonathan Mineau-Cesari, Brigitte Charnomordic, Nadine Hilgert, Isabelle Sanchez, Pascal Neveu, Anne Tireau, Nicolas Brichet, Cyril Pommier, Llorenç Cabrera-Bosquet, Mathématiques, Informatique et STatistique pour l'Environnement et l'Agronomie (MISTEA), Institut National de la Recherche Agronomique (INRA)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), 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), Écophysiologie des Plantes sous Stress environnementaux (LEPSE), Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), 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)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro), Domaine expérimental de Melgueil (MONTP MELGUEIL UE), Institut National de la Recherche Agronomique (INRA), Unité de Recherche Génomique Info (URGI), 'Infrastructure Biologie Sante' PHENOME-EMPHASIS project, 'Programme d'Investissements d'Avenir' (PIA), and ANR-11-INBS-0012,PHENOME,Centre français de phénomique végétale(2011)

Subjects
0106 biological sciences, 0301 basic medicine, knowledge, Databases, Factual, Physiology, Computer science, [SDV]Life Sciences [q-bio], Method, interoperability, Plant Science, Information System, Ontology (information science), computer.software_genre, 01 natural sciences, Plot (graphics), Field (computer science), Workflow, User-Computer Interface, 03 medical and health sciences, Phenomics, open source, Methods, Information system, [SDV.BV]Life Sciences [q-bio]/Vegetal Biology, [INFO]Computer Science [cs], ontology, [MATH]Mathematics [math], data integration, Data Curation, Internet, Information retrieval, Research, Data Visualization, phenomics, Plants, Metadata, Phenotype, 030104 developmental biology, Biological Ontologies, système d'information, [SDE]Environmental Sciences, sélection phénomique, data science, Web service, computer, Information Systems, 010606 plant biology & botany, Data integration
Abstract

International audience; Summary : . Phenomic datasets need to be accessible to the scientific community. Their reanalysis requires tracing relevant information on thousands of plants, sensors and events. . The open-source Phenotyping Hybrid Information System (PHIS) is proposed for plant phenotyping experiments in various categories of installations (field, glasshouse). It unambiguously identifies all objects and traits in an experiment and establishes their relations via ontologies and semantics that apply to both field and controlled conditions. For instance, the genotype is declared for a plant or plot and is associated with all objects related to it. Events such as successive plant positions, anomalies and annotations are associated with objects so they can be easily retrieved. . Its ontology-driven architecture is a powerful tool for integrating and managing data from multiple experiments and platforms, for creating relationships between objects and enriching datasets with knowledge and metadata. It interoperates with external resources via web services, thereby allowing data integration into other systems; for example, modelling platforms or external databases. . It has the potential for rapid diffusion because of its ability to integrate, manage and visualize multi-source and multi-scale data, but also because it is based on 10 yr of trial and error in our groups.

Published
2018
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3. Temperature responses of developmental processes have not been affected by breeding in different ecological areas for 17 crop species

Author

François Tardieu, Boris Parent, Écophysiologie des Plantes sous Stress environnementaux (LEPSE), 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), 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), Australian Center for Plant Functional Genomics (ACPFG), and European Project: 244374,EC:FP7:KBBE,FP7-KBBE-2009-3,DROPS(2010)

Subjects
0106 biological sciences, Physiology, Range (biology), growth, wheat (Triticum aestivum), Plant Science, Oryza, Crop species, 01 natural sciences, Crop, 03 medical and health sciences, genetic variability, Temperate climate, [SDV.BV]Life Sciences [q-bio]/Vegetal Biology, Ecosystem, Genetic variability, maize (Zea mays), development, 030304 developmental biology, 2. Zero hunger, 0303 health sciences, response, biology, Ecology, temperature, food and beverages, 15. Life on land, biology.organism_classification, Agronomy, 13. Climate action, Adaptation, 010606 plant biology & botany
Abstract

International audience; Rates of tissue expansion, cell division and progression in the plant cycle are driven by temperature, following common Arrhenius-type response curves. We analysed the genetic variability of this response in the range 637 degrees C in seven to nine lines of maize (Zea mays), rice (Oryza spp.) and wheat (Triticum aestivum) and in 18 species (17 crop species, different genotypes) via the meta-analysis of 72 literature references. Lines with tropical or north-temperate origins had common response curves over the whole range of temperature. Conversely, appreciable differences in response curves, including optimum temperatures, were observed between species growing in temperate and tropical areas. Therefore, centuries of crop breeding have not impacted on the response of development to short-term changes in temperature, whereas evolution over millions of years has. This slow evolution may be a result of the need for a synchronous shift in the temperature response of all developmental processes, otherwise plants will not be viable. Other possibilities are discussed. This result has important consequences for the breeding and modelling of temperature effects associated with global changes.

Published
2012

4. How does the meristem of sunflower capitulum cope with tissue expansion and floret initiation? A quantitative analysis

Author

François Tardieu, Guillermo A. A. Dosio, Olivier Turc, Écophysiologie des Plantes sous Stress environnementaux (LEPSE), Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), 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)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro), and Instituto Nacional de Tecnología Agropecuaria (INTA)

Subjects
Physiology, medicine.medical_treatment, PRIMORDIUM INITIATION, Flowers, SUNFLOWER, Plant Science, Cell Enlargement, Biology, Models, Biological, 03 medical and health sciences, Botany, Helianthus annuus, medicine, FLORET NUMBER, Primordium, Biomass, Cell Proliferation, 030304 developmental biology, 0303 health sciences, fungi, food and beverages, Data interpretation, 04 agricultural and veterinary sciences, ECOPHYSIOLOGIE, Meristem, Sunflower, [SDV.BV.PEP]Life Sciences [q-bio]/Vegetal Biology/Phytopathology and phytopharmacy, Kinetics, Formalism (philosophy of mathematics), Horticulture, MERISTEM, TISSUE EXPANSION, Data Interpretation, Statistical, CAPITULUM, 040103 agronomy & agriculture, Helianthus, 0401 agriculture, forestry, and fisheries, Tissue expansion
Abstract

The coordination between floret initiation and tissue expansion has been studied and quantified in the apical meristem of sunflower (Helianthus annuus) plants grown under different light availability. A method was developed to quantify tissue expansion in the meristem during floret initiation from measurements of meristem area, number of florets and primordium size. Initially, floret initiation and tissue expansion occurred simultaneously at the meristem surface. The duration of this phase remained unchanged across environments, whereas the rate of tissue expansion varied greatly. Floret initiation rate depended on meristem initial size and tissue-expansion rate. Thereafter, floret initiation continued without tissue expansion in the meristem, resulting in a rapid decrease of meristem area. A set of equations was proposed to predict floret initiation rate and floret number as a function of the rates of tissue expansion in the meristem before and during floret initiation. This formalism demonstrated the role of tissue expansion in determining the final number of florets, and provided a framework to analyse the response of floret initiation to genotype and environment.

Published
2006

5. Early modifications of Brassica napus root system architecture induced by a plant growth‐promoting Phyllobacterium strain

Author

Bertrand Muller, Jean-Claude Cleyet-Marel, Sylvie Rapior, Marièle Larcher, Sophie Mantelin, Laboratoire des symbioses tropicales et méditerranéennes (UMR LSTM), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Université Montpellier 1 (UM1)-Institut de Recherche pour le Développement (IRD)-Institut National de la Recherche Agronomique (INRA)-Université Montpellier 2 - Sciences et Techniques (UM2)-Université de Montpellier (UM)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Écophysiologie des Plantes sous Stress environnementaux (LEPSE), 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), Centre d’Ecologie Fonctionnelle et Evolutive (CEFE), Université Paul-Valéry - Montpellier 3 (UM3)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-École pratique des hautes études (EPHE)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), 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 d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), 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)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro), Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Institut National de la Recherche Agronomique (INRA)-Université Paul-Valéry - Montpellier 3 (UPVM)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), 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 de Recherche pour le Développement (IRD [France-Sud])

Subjects
0106 biological sciences, food.ingredient, Physiology, [SDV]Life Sciences [q-bio], CROISSANCE DES PLANTES, Brassica, Plant Science, Root system, 01 natural sciences, law.invention, 03 medical and health sciences, food, law, Botany, [CHIM]Chemical Sciences, INNOCULATION, Colonization, Phyllobacterium, MORPHOGENESE, 2. Zero hunger, 0303 health sciences, biology, Strain (chemistry), 030306 microbiology, Petri dish, Lateral root, food and beverages, biology.organism_classification, [SDV.BV.PEP]Life Sciences [q-bio]/Vegetal Biology/Phytopathology and phytopharmacy, [SDE]Environmental Sciences, Bacteria, 010606 plant biology & botany
Abstract

International audience; Plant growth‐promoting bacteria (PGPB) have been reported to stimulate root morphogenesis. To improve our knowledge of the PGPB effect, the early modifications of Brassica napus root system architecture induced by the PGPB Phyllobacterium sp. (29‐15) were analysed. Plants were grown in Petri dishes on a vertical medium supplemented with variable doses of Phyllobacterium sp. in gnotobiotic conditions. Root system elementary variables were measured in a nondestructive manner and the distribution of the bacteria throughout the primary root was quantified. Phyllobacterium sp. in doses from 3 × 107 to 3 × 108 colony‐forming units ml−1 significantly promoted B. napus total root length up to 50% by increasing both lateral root density throughout the primary root and growth rate of mature lateral roots. The primary root was progressively colonized by the bacteria from the tip to the base and the number of colonizing cells was positively correlated with the inoculum density. • Relationships between inoculum density, root colonization and root system architecture emphasized the relevance of this approach to specify PGPB effects on plants.

Published
2003

6. Plant growth: the What, the How, and the Why

Author

Jonas Hilty, Sebastian Leuzinger, Florent Pantin, Bertrand Muller, Auckland University of Technology (AUT), Centre National de la Recherche Scientifique (CNRS), Écophysiologie des Plantes sous Stress environnementaux (LEPSE), Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), 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), INRAE AgroEcoSystem division, ERA-Net + Modcarbostress, European Project: 817690,H2020, Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut Agro - Montpellier SupAgro, 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)

Subjects
0106 biological sciences, expansive growth, Physiology, Ecology (disciplines), Plant Development, Context (language use), Plant Science, Biology, 01 natural sciences, 03 medical and health sciences, Production (economics), [SDV.BV]Life Sciences [q-bio]/Vegetal Biology, growth modelling, Biomass, Temporal scales, growth measurement, 030304 developmental biology, 0303 health sciences, Biomass (ecology), growth control, Ecology, Scale (chemistry), fungi, Primary production, food and beverages, plant growth, 15. Life on land, crop yield, source–sink limitation, Term (time), Plant Leaves, Phenotype, structural growth, 010606 plant biology & botany
Abstract

International audience; Growth is a widely used term in plant science and ecology, but it can have different meanings depending on the context and the spatiotemporal scale of analysis. At the meristem level, growth is associated with the production of cells and initiation of new organs. At the organ or plant scale and over short time periods, growth is often used synonymously with tissue expansion, while over longer time periods the increase in biomass is a common metric. At even larger temporal and spatial scales, growth is mostly described as net primary production. Here, we first address the question 'what is growth?'. We propose a general framework to distinguish between the different facets of growth, and the corresponding physiological processes, environmental drivers and mathematical formalisms. Based on these different definitions, we then review how plant growth can be measured and analysed at different organisational, spatial and temporal scales. We conclude by discussing why gaining a better understanding of the different facets of plant growth is essential to disentangle genetic and environmental effects on the phenotype, and to uncover the causalities around source or sink limitations of plant growth.

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