Models of Pattern Formation Applied to Plant Development1
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Plant Physiology
PLANT PHYSIOLOGY Vince Ördög Created by XMLmind XSL-FO Converter. PLANT PHYSIOLOGY Vince Ördög Publication date 2011 Created by XMLmind XSL-FO Converter. Table of Contents Cover .................................................................................................................................................. v 1. Preface ............................................................................................................................................ 1 2. Water and nutrients in plant ............................................................................................................ 2 1. Water balance of plant .......................................................................................................... 2 1.1. Water potential ......................................................................................................... 3 1.2. Absorption by roots .................................................................................................. 6 1.3. Transport through the xylem .................................................................................... 8 1.4. Transpiration ............................................................................................................. 9 1.5. Plant water status .................................................................................................... 11 1.6. Influence of extreme water supply .......................................................................... 12 2. Nutrient supply of plant ..................................................................................................... -
Self-Organization Principles of Intracellular Pattern Formation
Self-organization principles of intracellular pattern formation J. Halatek. F. Brauns, and E. Frey∗ Arnold{Sommerfeld{Center for Theoretical Physics and Center for NanoScience, Department of Physics, Ludwig-Maximilians-Universit¨atM¨unchen, Theresienstraße 37, D-80333 M¨unchen,Germany (Dated: February 21, 2018) Abstract Dynamic patterning of specific proteins is essential for the spatiotemporal regulation of many important intracellular processes in procaryotes, eucaryotes, and multicellular organisms. The emergence of patterns generated by interactions of diffusing proteins is a paradigmatic example for self-organization. In this article we review quantitative models for intracellular Min protein patterns in E. coli, Cdc42 polarization in S. cerevisiae, and the bipolar PAR protein patterns found in C. elegans. By analyzing the molecular processes driving these systems we derive a theoretical perspective on general principles underlying self-organized pattern formation. We argue that intracellular pattern formation is not captured by concepts such as \activators", \inhibitors", or \substrate-depletion". Instead, intracellular pattern formation is based on the redistribution of proteins by cytosolic diffusion, and the cycling of proteins between distinct conformational states. Therefore, mass-conserving reaction-diffusion equations provide the most appropriate framework to study intracellular pattern formation. We conclude that directed transport, e.g. cytosolic diffusion along an actively maintained cytosolic gradient, is the key process underlying pattern formation. Thus the basic principle of self-organization is the establishment and maintenance of directed transport by intracellular protein dynamics. Keywords: self-organization; pattern formation; intracellular patterns; reaction-diffusion; cell polarity; arXiv:1802.07169v1 [physics.bio-ph] 20 Feb 2018 NTPases 1 INTRODUCTION In biological systems self-organization refers to the emergence of spatial and temporal structure. -
Guiding Self-Organized Pattern Formation in Cell Polarity Establishment
ARTICLES https://doi.org/10.1038/s41567-018-0358-7 Guiding self-organized pattern formation in cell polarity establishment Peter Gross1,2,3,8, K. Vijay Kumar" "3,4,8, Nathan W. Goehring" "5,6, Justin S. Bois" "7, Carsten Hoege2, Frank Jülicher3 and Stephan W. Grill" "1,2,3* Spontaneous pattern formation in Turing systems relies on feedback. But patterns in cells and tissues seldom form spontane- ously—instead they are controlled by regulatory biochemical interactions that provide molecular guiding cues. The relationship between these guiding cues and feedback in controlled biological pattern formation remains unclear. Here, we explore this relationship during cell-polarity establishment in the one-cell-stage Caenorhabditis elegans embryo. We quantify the strength of two feedback systems that operate during polarity establishment: feedback between polarity proteins and the actomyosin cortex, and mutual antagonism among polarity proteins. We characterize how these feedback systems are modulated by guid- ing cues from the centrosome, an organelle regulating cell cycle progression. By coupling a mass-conserved Turing-like reac- tion–diffusion system for polarity proteins to an active-gel description of the actomyosin cortex, we reveal a transition point beyond which feedback ensures self-organized polarization, even when cues are removed. Notably, the system switches from a guide-dominated to a feedback-dominated regime well beyond this transition point, which ensures robustness. Together, these results reveal a general criterion for controlling biological pattern-forming systems: feedback remains subcritical to avoid unstable behaviour, and molecular guiding cues drive the system beyond a transition point for pattern formation. ell polarity establishment in Caenorhabditis elegans zygotes phase where myosin appears to reach a steady state (Supplementary is a prototypical example for cellular pattern formation that Fig. -
Development and Cell Cycle Activity of the Root Apical Meristem in the Fern Ceratopteris Richardii
G C A T T A C G G C A T genes Article Development and Cell Cycle Activity of the Root Apical Meristem in the Fern Ceratopteris richardii Alejandro Aragón-Raygoza 1,2 , Alejandra Vasco 3, Ikram Blilou 4, Luis Herrera-Estrella 2,5 and Alfredo Cruz-Ramírez 1,* 1 Molecular and Developmental Complexity Group at Unidad de Genómica Avanzada, Laboratorio Nacional de Genómica para la Biodiversidad, Cinvestav Sede Irapuato, Km. 9.6 Libramiento Norte Carretera, Irapuato-León, Irapuato 36821, Guanajuato, Mexico; [email protected] 2 Metabolic Engineering Group, Unidad de Genómica Avanzada, Laboratorio Nacional de Genómica para la Biodiversidad, Cinvestav Sede Irapuato, Km. 9.6 Libramiento Norte Carretera, Irapuato-León, Irapuato 36821, Guanajuato, Mexico; [email protected] 3 Botanical Research Institute of Texas (BRIT), Fort Worth, TX 76107-3400, USA; [email protected] 4 Laboratory of Plant Cell and Developmental Biology, Division of Biological and Environmental Sciences and Engineering (BESE), King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Saudi Arabia; [email protected] 5 Institute of Genomics for Crop Abiotic Stress Tolerance, Department of Plant and Soil Science, Texas Tech University, Lubbock, TX 79409, USA * Correspondence: [email protected] Received: 27 October 2020; Accepted: 26 November 2020; Published: 4 December 2020 Abstract: Ferns are a representative clade in plant evolution although underestimated in the genomic era. Ceratopteris richardii is an emergent model for developmental processes in ferns, yet a complete scheme of the different growth stages is necessary. Here, we present a developmental analysis, at the tissue and cellular levels, of the first shoot-borne root of Ceratopteris. -
Morphological Description of Plants: New Perspectives in Development and Evolution
® International Journal of Plant Developmental Biology ©2010 Global Science Books Morphological Description of Plants: New Perspectives in Development and Evolution 1* 2 Emilio Cervantes • Juana G . de Diego 1 IRNASA-CSIC. Apartado 257. 37080. Salamanca. Spain 2 Dept Bioquímica y Biología Molecular. Campus Miguel de Unamuno. Universidad de Salamanca. Spain Corresponding author : * [email protected] ABSTRACT The morphological description of plants has been fundamental in the history of botany and provided the keys for taxonomy. Nevertheless, in biology, a discipline governed by the interest in function and based on reductionist approaches, the analysis of forms has been relegated to second place. Plants contain organs and structures that resemble geometrical forms. Plant ontogeny may be seen as a sequence of growth processes including periods of continuous growth with modification that stop at crucial points often represented by structures of remarkable similarity to geometrical figures. Instead of the tradition in developmental studies giving more importance to animal models, we propose that the modular type of plant development may serve to remark conceptual aspects in that may be useful in studies with animals and contribute to original views of evolution. _____________________________________________________________________________________________________________ Keywords: concepts, description, geometry, structure INTRODUCTION: PLANTS OFFER NEW reflects a more general situation in Biology, a discipline APPROACHES TO DEVELOPMENT that has matured from the experimental protocols and views of biochemistry, where the predominant role of experimen- The study of development is today a major biological disci- tation has contributed to a decline in basic aspects that need pline. Although it was traditionally more focused in animal to be more descriptive, such as those related with mor- systems, increased emphasis in plant development may phology. -
Phyllotaxis: a Remarkable Example of Developmental Canalization in Plants Christophe Godin, Christophe Golé, Stéphane Douady
Phyllotaxis: a remarkable example of developmental canalization in plants Christophe Godin, Christophe Golé, Stéphane Douady To cite this version: Christophe Godin, Christophe Golé, Stéphane Douady. Phyllotaxis: a remarkable example of devel- opmental canalization in plants. 2019. hal-02370969 HAL Id: hal-02370969 https://hal.archives-ouvertes.fr/hal-02370969 Preprint submitted on 19 Nov 2019 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Phyllotaxis: a remarkable example of developmental canalization in plants Christophe Godin, Christophe Gol´e,St´ephaneDouady September 2019 Abstract Why living forms develop in a relatively robust manner, despite various sources of internal or external variability, is a fundamental question in developmental biology. Part of the answer relies on the notion of developmental constraints: at any stage of ontogenenesis, morphogenetic processes are constrained to operate within the context of the current organism being built, which is thought to bias or to limit phenotype variability. One universal aspect of this context is the shape of the organism itself that progressively channels the development of the organism toward its final shape. Here, we illustrate this notion with plants, where conspicuous patterns are formed by the lateral organs produced by apical meristems. -
Plant Development Series Editor Paul M
VOLUME NINETY ONE CURRENT TOPICS IN DEVELOPMENTAL BIOLOGY Plant Development Series Editor Paul M. Wassarman Department of Developmental and Regenerative Biology Mount Sinai School of Medicine New York, NY 10029-6574 USA Olivier Pourquié Institut de Génétique et de Biologie Cellulaire et Moléculaire (IGBMC) Inserm U964, CNRS (UMR 7104) Université de Strasbourg Illkirch France Editorial Board Blanche Capel Duke University Medical Center Durham, NC, USA B. Denis Duboule Department of Zoology and Animal Biology NCCR ‘Frontiers in Genetics’ Geneva, Switzerland Anne Ephrussi European Molecular Biology Laboratory Heidelberg, Germany Janet Heasman Cincinnati Children’s Hospital Medical Center Department of Pediatrics Cincinnati, OH, USA Julian Lewis Vertebrate Development Laboratory Cancer Research UK London Research Institute London WC2A 3PX, UK Yoshiki Sasai Director of the Neurogenesis and Organogenesis Group RIKEN Center for Developmental Biology Chuo, Japan Philippe Soriano Department of Developmental and Regenerative Biology Mount Sinai Medical School New York, USA Cliff Tabin Harvard Medical School Department of Genetics Boston, MA, USA Founding Editors A. A. Moscona Alberto Monroy VOLUME NINETY ONE CURRENT TOPICS IN DEVELOPMENTAL BIOLOGY Plant Development Edited by MARJA C. P. TIMMERMANS Cold Spring Harbor Laboratory Cold Spring Harbor New York, USA AMSTERDAM • BOSTON • HEIDELBERG • LONDON NEW YORK • OXFORD • PARIS • SAN DIEGO SAN FRANCISCO • SINGAPORE • SYDNEY • TOKYO Academic Press is an imprint of Elsevier Academic Press is an imprint of Elsevier 525 B Street, Suite 1900, San Diego, CA 92101-4495, USA 30 Corporate Drive, Suite 400, Burlington, MA 01803, USA 32, Jamestown Road, London NW1 7BY, UK Linacre House, Jordan Hill, Oxford OX2 8DP, UK First edition 2010 Copyright Ó 2010 Elsevier Inc. -
Pattern Formation, Social Forces, and Diffusion Instability in Games
EPJ manuscript No. (will be inserted by the editor) Pattern Formation, Social Forces, and Diffusion Instability in Games with Success-Driven Motion Dirk Helbing ETH Zurich, UNO D11, Universit¨atstr.41, 8092 Zurich, Switzerland Received: date / Revised version: date Abstract. A local agglomeration of cooperators can support the survival or spreading of cooperation, even when cooperation is predicted to die out according to the replicator equation, which is often used in evolutionary game theory to study the spreading and disappearance of strategies. In this paper, it is shown that success-driven motion can trigger such local agglomeration and may, therefore, be used to supplement other mechanisms supporting cooperation, like reputation or punishment. Success-driven motion is formulated here as a function of the game-theoretical payoffs. It can change the outcome and dynamics of spatial games dramatically, in particular as it causes attractive or repulsive interaction forces. These forces act when the spatial distributions of strategies are inhomogeneous. However, even when starting with homogeneous initial conditions, small perturbations can trigger large inhomogeneities by a pattern-formation instability, when certain conditions are fulfilled. Here, these instability conditions are studied for the prisoner's dilemma and the snowdrift game. Furthermore, it is demonstrated that asymmetrical diffusion can drive social, economic, and biological systems into the unstable regime, if these would be stable without diffusion. PACS. 02.50.Le Decision theory and game theory { 87.23.Ge Dynamics of social systems { 82.40.Ck Pattern formation in reactions with diffusion, flow and heat transfer { 87.23.Cc Population dynamics and ecological pattern formation 1 Introduction tions [17,18], which agree with replicator equations for the fitness-dependent reproduction of individuals in biology Game theory is a well-established theory of individual [19,20,21]. -
Using Neural Networks for Pattern Association for the Online Purchase
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by AIS Electronic Library (AISeL) Association for Information Systems AIS Electronic Library (AISeL) All Sprouts Content Sprouts 7-26-2009 Using Neural Networks for Pattern Association for the Online Purchase of Products Arpan Kumar Kar XLRI School of Business & Human Resources, [email protected] Supriyo Kumar De XLRI School of Business & Human Resources, [email protected] Follow this and additional works at: http://aisel.aisnet.org/sprouts_all Recommended Citation Kar, Arpan Kumar and De, Supriyo Kumar, " Using Neural Networks for Pattern Association for the Online Purchase of Products" (2009). All Sprouts Content. 281. http://aisel.aisnet.org/sprouts_all/281 This material is brought to you by the Sprouts at AIS Electronic Library (AISeL). It has been accepted for inclusion in All Sprouts Content by an authorized administrator of AIS Electronic Library (AISeL). For more information, please contact [email protected]. Working Papers on Information Systems ISSN 1535-6078 Using Neural Networks for Pattern Association for the Online Purchase of Products Arpan Kumar Kar XLRI School of Business & Human Resources, India Supriyo Kumar De XLRI School of Business & Human Resources, India Abstract Abstract: Today, a huge percentage of all the business transactions that take place in the domain of e-commerce are dominated by online shopping after the "virtual market" conceptualization of the business. This paper focuses on how pattern association rules may be obtained from the dynamic databases generated during purchases in an e-Store to maximize the profit of the marketer. -
Evolutionary Game Theory: Theoretical Concepts and Applications To
Physica A 389 (2010) 4265–4298 Contents lists available at ScienceDirect Physica A journal homepage: www.elsevier.com/locate/physa Evolutionary game theory: Theoretical concepts and applications to microbial communities Erwin Frey ∗ Ludwig-Maximilians-Universität München, Arnold Sommerfeld Center for Theoretical Physics and Center for NanoScience, Theresienstrasse 37, D-80333 Munich, Germany article info a b s t r a c t Article history: Ecological systems are complex assemblies of large numbers of individuals, interacting Received 30 January 2010 competitively under multifaceted environmental conditions. Recent studies using Available online 4 March 2010 microbial laboratory communities have revealed some of the self-organization principles underneath the complexity of these systems. A major role of the inherent stochasticity of its Keywords: dynamics and the spatial segregation of different interacting species into distinct patterns Population dynamics has thereby been established. It ensures the viability of microbial colonies by allowing for Game theory species diversity, cooperative behavior and other kinds of ``social'' behavior. Evolution Stochastic processes A synthesis of evolutionary game theory, nonlinear dynamics, and the theory of Nonlinear dynamics stochastic processes provides the mathematical tools and a conceptual framework for a Pattern formation deeper understanding of these ecological systems. We give an introduction into the modern formulation of these theories and illustrate their effectiveness focussing on selected examples of microbial systems. Intrinsic fluctuations, stemming from the discreteness of individuals, are ubiquitous, and can have an important impact on the stability of ecosystems. In the absence of speciation, extinction of species is unavoidable. It may, however, take very long times. We provide a general concept for defining survival and extinction on ecological time-scales. -
Root Development and Stress Tolerance in Rice: the Key to Improving Stress Tolerance Without Yield Penalties
International Journal of Molecular Sciences Review Root Development and Stress Tolerance in rice: The Key to Improving Stress Tolerance without Yield Penalties Deok Hyun Seo 1, Subhin Seomun 1, Yang Do Choi 2 and Geupil Jang 1,* 1 School of Biological Sciences and Technology, Chonnam National University, Gwangju 61186, Korea; [email protected] (D.H.S.); [email protected] (S.S.) 2 The National Academy of Sciences, Seoul 06579, Korea; [email protected] * Correspondence: [email protected] Received: 12 February 2020; Accepted: 4 March 2020; Published: 6 March 2020 Abstract: Roots anchor plants and take up water and nutrients from the soil; therefore, root development strongly affects plant growth and productivity. Moreover, increasing evidence indicates that root development is deeply involved in plant tolerance to abiotic stresses such as drought and salinity. These findings suggest that modulating root growth and development provides a potentially useful approach to improve plant abiotic stress tolerance. Such targeted approaches may avoid the yield penalties that result from growth–defense trade-offs produced by global induction of defenses against abiotic stresses. This review summarizes the developmental mechanisms underlying root development and discusses recent studies about modulation of root growth and stress tolerance in rice. Keywords: root; auxin; abiotic stress; tolerance; rice 1. Introduction Abiotic stress, including drought, low or high temperature, and salinity, seriously affects growth and productivity of plants [1]. Furthermore, global climate change may be increasing the frequency and severity of abiotic stress, thus threatening food production around the world [2]. In nature, plants are continuously exposed to different abiotic stresses and have evolved a variety of defense mechanisms to survive these abiotic stresses. -
Exploring Reaction-Diffusion and Pattern Formation
Exploring Reaction-Diffusion and Pattern Formation Ramona Behravan1, Peter J. Bentley1, Robin Carlisle2 1 Department of Computer Science, University College London, Gower Street, London, WC1E 6BT, England 2 Glassworks Ltd., 34 Great Pulteney Street, London W1F 9NP, England Abstract. This article reviews the development of the concept of reaction- diffusion leading to pattern formation in living organisms. The article com- mences with an historical background and then describes biological develop- ment, and ideas of the formation of patterns using dynamic activator inhibitor systems. In addition to this, different models to represent such systems and their computer simulations are discussed. 1 Introduction The first steps toward the sciences arose out of the recognition of patterns and struc- tures. Patterns are all around us in the living and the non-living world. Formation of galaxies, mountains, rivers, crystals, zebra stripes, flower petals and butterfly wings are all examples of ordered structures and regular patterns. While it seems likely that evolution plays the major role in creating, selecting and exploiting features in living organisms, there can be no denying the role of physics in nature. Physical structures can emerge naturally without the selection pressure of natural evolution: sand dunes, snow flakes, clouds and cracks in the ground can all self-organise into ordered and re- petitive forms with clearly defined patterns. The existence of such natural pattern has led many researchers to hypothesise that in some of the features of life, natural evolution has exploited the automatic pattern- formation machinery provided by physics instead of creating her own from scratch. In this article we focus on this class of patterns, namely pattern formation of living or- ganisms.