Plant Defence: Biological Control
Progress in Biological Control Volume 12 Published: Volume 2 J. Eilenberg and H.M.T. Hokkanen (eds.): An Ecological and Societal Approach to Biological Control. 2007 ISBN 978-1-4020-4320-8 Volume 3 J. Brodeur and G. Boivin (eds.): Trophic and Guild Interactions in Biological Control. 2006 ISBN 978-1-4020-4766-4 Volume 4 J. Gould, K. Hoelmer and J. Goolsby (eds.): Classical Biological Control of Bemisia tabaci in the United States. 2008 ISBN 978-1-4020-6739-6 Volume 5 J. Romeis, A.M. Shelton and G. Kennedy (eds.): Integration of Insect-Resistant Genetically Modified Crops within IPM Programs. 2008 HB ISBN 978-1-4020-8372-3; PB ISBN 978-1-4020-8459-1 Volume 6 A.E. Hajek, T.R. Glare and M.O’Callaghan (eds.): Use of Microbes for Control and Eradication of Invasive Arthropods. 2008 ISBN: 978-1-4020-8559-8 Volume 7 H.M.T. Hokkanen (ed.): Relationships of Natural Enemies and Non-Prey Foods. 2008 ISBN: 978-1-4020-9234-3 Volume 8 S.S. Gnanamanickam: Biological Control of Rice Diseases ISBN: 978-90-481-2464-0 Volume 9 F.L. Cônsoli, J.R.P. Parra and R.A. Zucchi (eds.): Egg Parasitoids in Agroecosystems with Emphasis on Trichogramma ISBN: 978-1-4020-9109-4 Volume 10 W.J. Ravensberg: A Roadmap to the Successful Development and Commercialization of Microbial Pest Control Products for Control of Arthropods ISBN: 978-94-007-0436-7 Volume 11 K. Davies and Y. Spiegel (eds.): Biological Control of Plant-Parasitic Nematodes. 2011 ISBN: 978-1-4020-9647-1 For further volumes: http://www.springer.com/series/6417
Jean Michel Mérillon s Kishan Gopal Ramawat Editors
Plant Defence: Biological Control
Editors Jean Michel Mérillon Gr. d’Etude Subst. Vég. à Act. Biolog. Institut des Sciences de la Vigne et du University of Bordeaux Chemin de Leysotte 210 33882 Villenave d’Ornon France
[email protected]
Kishan Gopal Ramawat Botany, University College of Science M.L. Sukhadia University Durga Nursery Road 313002 Udaipur, Rajasthan India
[email protected]
ISBN 978-94-007-1932-3 e-ISBN 978-94-007-1933-0 DOI 10.1007/978-94-007-1933-0 Springer Dordrecht Heidelberg London New York Library of Congress Control Number: 2011939066 © Springer Science+Business Media B.V. 2012 No part of this work may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, electronic, mechanical, photocopying, microfilming, recording or otherwise, without written permission from the Publisher, with the exception of any material supplied specifically for the purpose of being entered and executed on a computer system, for exclusive use by the purchaser of the work. Printed on acid-free paper Springer is part of Springer Science+Business Media (www.springer.com)
Preface
Approximately 6.6 billion humans now inhabit the Earth. Notably, the human population has grown nearly ten-fold over the past three centuries and has increased by a factor of four in the last century. Therefore, demand for food, feed and fodder is ever increasing. Plant diseases worldwide are responsible for billions of dollars worth of crop losses every year. Productivity of crops is at risk due to the incidence of pests, pathogens and animal pests. Crop losses to pests can be substantial and may be reduced by various control activities. Estimates on the crop loss are available for major food and cash crops on the world level. Among crops the total loss potential of pests world-wide varies from 25 to 40%. Globally, enormous losses of the crops are caused by the plant diseases, which can occur from the time of seed sowing in the field to harvesting and storage. Important historical evidences of plant disease epidemics are Irish Famine due to late blight of potato (Ireland, 1845), Bengal famine due to brown spot of rice (India, 1942) and Coffee rust (Sri Lanka, 1967). Such epidemics had left their effect on the economy of the affected countries and deep scar on the memories of human civilization. Plant diseases, caused primarily by fungal and bacterial pathogens, cause losses of agricultural and horticultural crops every year. These losses can result in reduced food supplies, poorer quality of agricultural products, economic hardship for growers and processor and results ultimately in higher prices for the consumers. For many diseases, traditional chemical control methods are not always economical nor are they effective, and fumigation as well as other chemical control methods may have unwanted health, safety and environmental risks. Biological control involves use of beneficial micro-organism, such as specialised fungi and bacteria to attack and control plant pathogens and diseases they cause. Biological control offers an environmental friendly approach to the management of plant diseases and can be incorporated in to cultural and physical controls and limited chemical uses for an effective integrated pest management system. Due to the high cost of synthetic pesticides and concerns over environmental pollution associated with the continuous use of these chemicals, there is a renewed interest in the use of botanicals and biological control agents for crop protection. Benefits and v
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risks are always associated with new technologies and their utilization. These types of considerations have encouraged microbiologists and plant pathologists to gain a better knowledge of biocontrol agents, to understand their mechanism of control and to explore new biotechnological approaches to induce natural resistance. This book provides a comprehensive account of interaction of host and its abiotic stress factors and biotic pathogens, and development of biological control agents for practical applications in crops and tree species, from temperate to subtropical regions. The contents are divided into the following sections: s s s s
General biology of parasitism Applications of biological and natural agents for disease resistance Host parasite interaction Mechanism of defence
The chapters have been written by well known workers in their research field. The book is primarily designed for use by upper undergraduates and post graduates studying crop protection, agricultural sciences, applied entomology, plant pathology, and plant sciences. Biological and agricultural research scientists in biotechnology, forestry, plant pathology and post harvest technology, crop management and environmental sciences, agrochemical and crop protection industries, and in academia, will find much of great use in this book. Libraries in all universities and research establishments where agricultural and biological sciences are studied and taught should have multiple copies of this very valuable book on their shelves. The editors wish to thank all the contributors and staff of the Springer for their cooperation in completion of this book. Prof. J.M. Mérillon and Prof. K.G. Ramawat
Contents
Part I 1
Co-evolution of Pathogens, Mechanism Involved in Pathogenesis and Biocontrol of Plant Diseases: An Overview ....... Jaya Arora, Shaily Goyal, and Kishan G. Ramawat
Part II 2
3
4
General Biology of Parasitism
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Applications of Biological and Natural Agents
Stilbenes: Biomarkers of Grapevine Resistance to Disease of High Relevance for Agronomy, Oenology and Human Health.................................................................................. Katia Gindro, Virginia Alonso-Villaverde, Olivier Viret, Jean-Laurent Spring, Guillaume Marti, Jean-Luc Wolfender, and Roger Pezet
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Alternatives to Synthetic Fungicides Using Small Molecules of Natural Origin ............................................. Christian Chervin
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Fungi as Biological Control Agents of Plant-Parasitic Nematodes ................................................................. Mohammad Reza Moosavi and Rasoul Zare
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Secondary Metabolites and Plant Defence ........................................... 109 Shaily Goyal, C. Lambert, S. Cluzet, J.M. Mérillon, and Kishan G. Ramawat
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Trends for Commercialization of Biocontrol Agent (Biopesticide) Products ................................................................ 139 Catherine Regnault-Roger
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The Role of Indigenous Knowledge in Biological Control of Plant Pathogens: Logistics of New Research Initiatives.................. 161 Arun Kumar and A.K. Purohit
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Plant Chemicals in Post Harvest Technology for Management of Fungal, Mycotoxin and Insect Contamination of Food Commodities ................................................... 195 N.K. Dubey, Priyanka Singh, Bhanu Prakash, and Prashant K. Mishra
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Ganoderma Diseases of Woody Plants of Indian Arid Zone and Their Biological Control ................................................................. 209 Rikhab Raj Bhansali
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Plant Defence Against Heavy Metal Stress ........................................... 241 N.C. Aery
Part III
Host Parasite Interaction
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Gall Phenotypes – Product of Plant Cells Defensive Responses to the Inducers Attack ........................................ 273 Rosy Mary dos Santos Isaias and Denis Coelho de Oliveira
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The Role of Roots in Plant Defence ....................................................... 291 Matthias Erb
Part IV
Mechanism and Signal Transduction
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Activation of Grapevine Defense Mechanisms: Theoretical and Applied Approaches .................................................... 313 Marielle Adrian, Sophie Trouvelot, Magdalena Gamm, Benoît Poinssot, Marie-Claire Héloir, and Xavier Daire
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Plant Cyclotides: An Unusual Protein Family with Multiple Functions ......................................................................... 333 Michelle F.S. Pinto, Isabel C.M. Fensterseifer, and Octavio L. Franco
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Methyl Jasmonate as Chemical Elicitor of Induced Responses and Anti-Herbivory Resistance in Young Conifer Trees ..................... 345 Xoaquín Moreira, Rafael Zas, and Luis Sampedro
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Pathogen-Responsive cis-Elements ........................................................ 363 Ting Yuan and Shiping Wang
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Pathogenesis Related Proteins in Plant Defense Response.................. 379 J. Sudisha, R.G. Sharathchandra, K.N. Amruthesh, Arun Kumar, and H. Shekar Shetty
About the Author ............................................................................................ 405 Index ................................................................................................................. 407
Contributors
Marielle Adrian Unité Mixte de Recherche INRA 1088/CNRS 5184, Université de Bourgogne Plante-Microbe-Environnement, 17 rue Sully, BP 86510, 21065 Dijon cedex, France,
[email protected] N.C. Aery Department of Botany, Mohanlal Sukhadia University, Udaipur 313002, Rajasthan, India,
[email protected] Virginia Alonso-Villaverde Misión Biológica de Galicia (CSIC), P.O. Box 28, 36080 Pontevedra, Spain K.N. Amruthesh Applied Plant Pathology Laboratory, Department of Studies in Botany, University of Mysore, Mysore 570 006, Karnataka, India Jaya Arora Laboratory of Bio-Molecular Technology, Department of Botany, M.L. Sukhadia University, Udaipur 313001, India Arun Kumar Division of Plant Sciences and Biotechnology, Central Arid Zone Research Institute, Jodhpur 342003, Rajasthan, India,
[email protected] Rikhab Raj Bhansali Central Arid Zone Research Institute, Jodhpur 342 003, Rajasthan, India,
[email protected] Christian Chervin Food and Wine Science, Université de Toulouse, UMR Génomique et Biotechnologie des Fruits, INRA-INP/ENSAT, BP 32607, 31326 Catanet-Tolosan, France,
[email protected] S. Cluzet GESVAB – EA 3675, Institut des Sciences de la Vigne et du Vin, University of Bordeaux, CS50008, 210, Chemin de Leysotte, Villenave d’Ornon, F-33882, France Xavier Daire Unité Mixte de Recherche INRA 1088/CNRS 5184, Université de Bourgogne Plante-Microbe-Environnement, 17 rue Sully, BP 86510, 21065 Dijon cedex, France N.K. Dubey Centre of Advanced Study in Botany, Banaras Hindu University, Varanasi 221005, India,
[email protected] ix
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Matthias Erb Department of Molecular Ecology, Max Planck Institute for Chemical Ecology, Jena, Germany,
[email protected] Isabel C.M. Fensterseifer Centro de Análises Proteômicas e Bioquímicas Programa de Pós-Graduação em Ciências Genômicas e Biotecnologia, Universidade Católica de Brasília, SGAN, Quadra 916, Módulo B, Av. W5 Norte, CEP 70.790-160, Brasília, DF, Brazil Octavio L. Franco Centro de Análises Proteômicas e Bioquímicas Programa de Pós-Graduação em Ciências Genômicas e Biotecnologia, Universidade Católica de Brasília, SGAN, Quadra 916, Módulo B, Av. W5 Norte, CEP 70.790-160, Brasília, DF, Brazil,
[email protected];
[email protected] Magdalena Gamm Unité Mixte de Recherche INRA 1088/CNRS 5184, Université de Bourgogne Plante-Microbe-Environnement, 17 rue Sully, BP 86510, 21065 Dijon cedex, France Katia Gindro Swiss Federal Research Station Agroscope Changins-Wädenswil, Route de Duillier, P.O. Box 1012, CH-1260 Nyon, Switzerland,
[email protected] Shaily Goyal Laboratory of Bio-Molecular Technology, Department of Botany, M.L. Sukhadia University, Udaipur 313001, India Marie-Claire Héloir Unité Mixte de Recherche INRA 1088/CNRS 5184, Université de Bourgogne Plante-Microbe-Environnement, 17 rue Sully, BP 86510, 21065 Dijon cedex, France C. Lambert GESVAB – EA 3675, Institut des Sciences de la Vigne et du Vin, University of Bordeaux, CS50008, 210, Chemin de Leysotte, Villenave d’Ornon F-33882, France Guillaume Marti School of Pharmaceutical Sciences, University of Geneva, Geneva, Switzerland School of Pharmaceutical Sciences, University of Lausanne, Lausanne, Switzerland J.M. Mérillon GESVAB – EA 3675, Institut des Sciences de la Vigne et du Vin, University of Bordeaux, CS50008, 210, Chemin de Leysotte, Villenave d’Ornon, F-33882, France,
[email protected] Prashant K. Mishra Centre of Advanced Study in Botany, Banaras Hindu University, Varanasi 221005, India Mohammad Reza Moosavi Department of Plant Pathology, Islamic Azad University, Marvdasht Branch, P.O. Box 465, Marvdasht, Fars, Iran,
[email protected] Xoaquín Moreira Centro de Investigación Forestal de Lourizán – Unidad Asociada MBG-CSIC, Apdo. 127, 36080 Pontevedra, Galicia, Spain,
[email protected]
Contributors
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Denis Coelho de Oliveira Instituto de Ciências Agrárias - ICIAG, UFU, Universidade Federal de Uberlândia, Av Amazonas, Campus Umuarama, Cep: 38400-902, Uberlândia, MG, Brazil Roger Pezet Swiss Federal Research Station Agroscope Changins-Wädenswil, Route de Duillier, P.O. Box 1012, CH-1260 Nyon, Switzerland Michelle F.S. Pinto Centro de Análises Proteômicas e Bioquímicas Programa de Pós-Graduação em Ciências Genômicas e Biotecnologia, Universidade Católica de Brasília, SGAN, Quadra 916, Módulo B, Av. W5 Norte, CEP 70.790-160, Brasília, DF, Brazil Benoît Poinssot Unité Mixte de Recherche INRA 1088/CNRS 5184, Université de Bourgogne Plante-Microbe-Environnement, 17 rue Sully, BP 86510, 21065 Dijon cedex, France Bhanu Prakash Centre of Advanced Study in Botany, Banaras Hindu University, Varanasi 221005, India A.K. Purohit Transcience Transactions, Jodhpur, Rajasthan 342001, India,
[email protected] Kishan G. Ramawat Laboratory of Bio-Molecular Technology, Department of Botany, M.L. Sukhadia University, Udaipur 313001, India,
[email protected] Catherine Regnault-Roger Institut Pluridisciplinaire Pour l’Environnement et les Matériaux/Equipe Environnement et Microbiologie (IPREM/EEM), IBEAS, Université de Pau et des Pays de l’Adour, UMR CNRS 5254, BP 1155, F-64013 Pau, France,
[email protected] Luis Sampedro Centro de Investigación Forestal de Lourizán – Unidad Asociada MBG-CSIC, Apdo. 127, 36080 Pontevedra, Galicia, Spain Rosy Mary dos Santos Isaias Instituto de Ciências Biológicas and Departamento de Botânica, ICB/UFMG, Universidade Federal de Minas Gerais, Av Antonio Carlos 6627, Pampulha, Cep: 31270-901, Belo Horizonte, MG, Brazil,
[email protected] R.G. Sharathchandra Department of Microbiology, Tumkur University, Tumkur 572103, Karnataka, India H. Shekar Shetty Downy Mildew Research Laboratory, Department of Studies in Biotechnology, University of Mysore, Mysore 570 006, Karnataka, India Priyanka Singh Centre of Advanced Study in Botany, Banaras Hindu University, Varanasi 221005, India Jean-Laurent Spring Swiss Federal Research Station Agroscope ChanginsWädenswil, Route de Duillier, P.O. Box 1012, CH-1260 Nyon, Switzerland J. Sudisha Downy Mildew Research Laboratory, Department of Studies in Biotechnology, University of Mysore, Mysore 570 006, Karnataka, India
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Sophie Trouvelot Unité Mixte de Recherche INRA 1088/CNRS 5184, Université de Bourgogne Plante-Microbe-Environnement, 17 rue Sully, BP 86510, 21065 Dijon cedex, France Olivier Viret Swiss Federal Research Station Agroscope Changins-Wädenswil, Route de Duillier, P.O. Box 1012, CH-1260 Nyon, Switzerland Shiping Wang National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China,
[email protected] Jean-Luc Wolfender School of Pharmaceutical Sciences, University of Geneva, Geneva, Switzerland School of Pharmaceutical Sciences, University of Lausanne, Lausanne, Switzerland Ting Yuan National Key Laboratory of Crop Genetic Improvement, National Center of Plant Gene Research (Wuhan), Huazhong Agricultural University, Wuhan 430070, China Rasoul Zare Department of Botany, Iranian Research Institute of Plant Protection, P.O. Box 1454, Tehran 19395, Iran,
[email protected] Rafael Zas Misión Biológica de Galicia (MBG-CSIC), Apdo. 28, 36080, Pontevedra, Galicia, Spain
Part I
General Biology of Parasitism
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Chapter 1
Co-evolution of Pathogens, Mechanism Involved in Pathogenesis and Biocontrol of Plant Diseases: An Overview Jaya Arora, Shaily Goyal, and Kishan G. Ramawat
Abstract Plant pathogens pose a serious problem for global food security. More sustainable and reliable food production will be needed to support the human population for the upcoming years. To develop efficient, economic and environment friendly biocontrol measures, a deep understanding of diseases is required. The Phytopathology has four main objectives (i) etiology, (ii) pathogenesis, (iii) epidemiology and, (iv) control, which should be considered for an overall knowledge about a plant disease. Understanding of the plant response to the pathogen attack has advanced rapidly in recent years; still many plant diseases are unpredictable either due to emergence of new pathogenic strains or due to mutagenic changes in present strains, which cause a failure in all preventive measures. In this review, lacuna in present control measures and future requirements in disease management are discussed in the light of recent advances made in molecular mechanisms and components involved in pathogen defense in plants as well as how pathogens are continuously co-evolving. The complex picture of pathogen defense in plants is beginning to be unraveled but a lot more still remains unclear.
1.1
Introduction
Plant diseases cause economic threats to conventional and organic farming systems. Most of the infectious plant diseases have their characteristics mode of spread and symptoms. The understanding of these characteristics helps in possible control strategies; assess economic impact and the socio-economic consequences
* !RORA s 3 'OYAL s +' 2AMAWAT *) Laboratory of Bio-Molecular Technology, Department of Botany, M. L. Sukhadia University, Udaipur 313001, India e-mail:
[email protected]
J.M. Mérillon and K.G. Ramawat (eds.), Plant Defence: Biological Control, Progress in Biological Control 12, DOI 10.1007/978-94-007-1933-0_1, © Springer Science+Business Media B.V. 2012
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Fig. 1.1 World production and area under cultivation of staple crops
of their dissemination. Their effects range from mild symptoms to catastrophes in which large areas of food crops are destroyed. Fourteen crop plants provide the bulk of food for human consumption, which are likely to be infested from any of the major plant pathogens including viruses, bacteria, oomycetes, fungi, nematodes, and parasitic plants [1]. Human population is projected to grow at approximately 80 million per annum, increasing by 35% to 7.7 billion by 2020 [2]. With the ever-increasing population there is an increasing demand for food and fodder. According to the Production Estimates and Crop Assessment Division, Foreign Agriculture Service (FAS), United States Department of Agriculture (USDA, 2002/2003) a comparative data of major staple crops production and total cultivated area over the world is presented in the Fig. 1.1 [3]. At least 10% of global food production is lost by plant diseases; either as yield loss or as quality loss, both are included in the concept of crop loss. Food shortage and the damage to the food production, caused by plant pathogens, results in undernourishment of roughly 826 million people in the world, of which 792 million people are in the developing world and 34 million in the developed world [4]. Although the ability to diagnose diseases and the technologies available for their control are far greater than in the past, it is necessary to accumulate loss data, including the importance of pests, key pests and their control for evaluating the efficacy of present crop protection practices [5]. A major portion of crop is also lost due to non-native crop species. Crop loss due to non-native species invasions in the six nations viz., United States, United Kingdom, Australia, South Africa, India, and Brazil, is more than US$ 314 billion per year [6]. Although there is an extensive bibliography available regarding the biology, symptoms, distribution and crop losses by some pathogens, concise data on the mechanism of pathogenesis and their possible control measures are essential to interpret with present scenario of plant diseases. The present article is intended to overview plant pathogenesis and its control.
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Epidemiology
The socio-economic effects of disease epidemics and the consequent crop losses have been well documented. There are some iconic invasive diseases, often exemplified due to their large demographic impacts on communities that are dependent on a single staple crop, resulting into epidemics. Some emerging infectious diseases cause famine and favour human diseases, and technical crises for the management of whole agricultural communities. Frequently cited examples include the Irish potato famine caused by Phytophthora infestans, the oomycete plant pathogen, with one million deaths and two million emigrations from 1845 to 1847 in Europe [7]. The high dependence of large Irish population on potato for sustenance, the lack of resistance in the plant to the pathogen, and wetness of the environment caused Phytophthora to take an epidemic form. Its most notorious species, costing annually on a global basis in excess of $5 billion in terms of losses of the potato crop and control measures [8]. Great Bengal Famine (Rice brown spot) of 1943 and the southern corn leaf blight epidemic of 1970–1971 in the USA were the two another big disasters caused by fungal pathogens of the genus Cochliobolus. The former one was caused by C. miyabeanus, an estimated two million people died owing to the high dependence of most of the population on a single crop, rice. Pathogen’s spread was favoured by the environmental conditions pertaining at that time [9]. In the USA, the corn (maize) crop was completely destroyed by C. heterostrophus, named race T, which was specifically virulent for maize containing a cytoplasmically inherited gene for male sterility (Tcms). It had been incorporated into about 85% of the American crop by 1970 due to self-fertilization and favourable climatic conditions. Alternative sources of nutrition were plentiful, so no one died and the endemic brought to an end by the withdrawal of susceptible varieties and the establishment of new hybrids [10]. Corn Leaf Blight is renowned for having set a record in terms of economic losses produced on a single agricultural crop in a single season with estimated historic losses of $1 billion [11]. During the first 50 years of the nineteenth century, in Ceylon (now Sri Lanka), there was a massive increase of coffee cultivation by British planters. In 1868, there was total elimination of coffee trees by a rust fungus Hemileia vastatrix, which was likely to have spread from Ethiopia, the center of origin of both the plant and its rust [12]. By 1905, the coffee cultivation area in Ceylon had shrunk from 275,000 acres in 1878 to around 3,500 acres in 1905 [13]. Because of the epidemic, coffee had to be replaced, fortunately with success, by tea. The threat of epidemics occurring with catastrophic consequences has been sharply reduced in developed countries compared to developing countries, due to technological advances such as, diagnostics, agronomic practices and the use of specific disease management strategies [14]. Re-emergence of a disease is the coincidence of a number of unfortunate events, including many anthropogenic activities such as introduction of plant species into new area. But many such introduced species, like corn, wheat, rice, domestic chicken, cattle, and others are beneficial
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and now provide more than 98% of the world food supply with a value of more than US$ 5 trillion per year [15]. However, alien plant species (introduced plant species) are also known to cause major economic losses in agriculture, forestry, and several other segments of the world economy [16, 17]. Some pathogen communities are introduced together with a newly introduced plant species and resulted in an emerging disease to that new area. Besides trading of whole living plants, alien pathogens can be introduced through vegetables, germplasm, and grafts or via international seed trading. For example, it has been estimated that at least 2,400 different plant pathogens were contained in the seeds of 380 plant genera [18], and that up to one third of the plant pathogenic viruses are transmissible through seeds to at least one of their hosts [19]. Many factors affect the dissemination and infection by an introduced pathogen like in Pierce’s Disease of grapevine, caused by the bacterium Xylella fastidiosa. It was first reported in California as not being serious for more than a century, but in 1997 a new vector, Graphocephala atropunctata, was introduced in California. This allowed the rapid development of the disease in the vineyards, with estimated damage of 6 million dollars in 1999 [20]. Lacking the elements favoring their further dissemination, some pathogens may remain restricted to their area of introduction, making very limited impact. Another example of epidemic occurred due to some introduced variety is vine downy mildew disease caused by Plasmopara viticola in France from 1868 to 1882. This disease was first observed in America in 1834, and then the pathogen was carried to Europe on American stock, where it was first recorded in France. From France, the mildew-pathogen spread throughout Europe, where it is now a very notorious pathogen. Losses in Europe have been enormous due to this disease. The greatest losses to American viticulturists from this disease are incurred in Northern United States; where in some localities it is estimated that 25–75% of the crop is destroyed [21]. There are some more emerging infectious diseases of crops that are challenging the current preventive measures of farmers, such as Cassava Mosaic Virus (CMV), Banana Xanthomonas Wilt (BXW), stem rust of wheat, Citrus Huanglongbing etc. Among them the effects of CMV disease on the farming communities in Uganda became apparent in the early 1990s. The initial impact was greatest in the north-eastern areas of the country, because the particular cultivars were susceptible to the virus. Here, cassava production between 1990 and 1993 was reduced by 80–90% and many farmers stopped its cultivation [22]. The cultivation of other crops, mainly sweet potatoes were preferred at that time to overcome the situation. Several attempts have been made to quantify the losses due to the virus, the most reliable estimate being around 600 thousand tonnes per year valued at 60 million dollars [23]. CMV is the most important disease of cassava in Africa, Sri Lanka and Southern India [24]. The disease caused by the bacterium Xanthomonas campestris pv. musacearum to banana plantations, known as BXW is one of the most important emerging risks. This disease was initially reported in Ethiopia about 40 years ago on Ensete ventricosum, a genus closely related to Musa [25]. It was reported in Uganda in 2001 on banana and from there it has spread rapidly to all regions of Africa where the crop is grown. No varieties of banana have complete genetic resistance, but they differ in degree of susceptibility [26]. It has been estimated that, if not controlled,
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the pathogen can increase the area infected at a rate of 8% per year [27]. The damage caused by the disease each year is estimated at $2 billion. A recent study estimated 53% loss in yield of banana production in Uganda in last 10 years. Production losses caused by the disease threaten the food security of about 100 million people and the income of millions of farmers in the Great Lakes region of Central and Eastern Africa [28]. One of major epidemics occurred in the 1940s and 1950s in Australia and the United States is stem rust or black rust of wheat caused by microscopic fungus, Puccinia graminis f. sp. Tritici [29]. It took more than a decade to find out cause of re-emergence of stem rust due to its complex life cycle that requires barberry (Berberis vulgaris) as well as a cereal species. Another recently worldwide occurring most destructive disease of all citrus pathosystems is Huanglongbing, the yellow shoot disease. The disease is associated with three bacteria: Candidatus liberibacter asiaticus (Las), C.L. africancus (Laf), and C.L. americanus (Lam). To date, there has been a decline in all commercial citrus industries that have faced the disease [30]. Nowadays epidemiological models are constructed to increase understanding of the complex interactions between vectors, pathogen, host plants, and the environment. If these are accurate and validation with field data is demonstrable for a range of epidemiological scenarios, it can be used for decision support over targeted control of epidemics [31, 32]. Food crisis in developed countries due to failure of a crop can be overcome as the impact of plant disease is mostly an economic issue but in developing countries it can be a primary cause of starvation and today developing countries are more integrated into the global economy than in past decades. Stepping up investment in the agriculture sector can be one of the solutions to combat the situations. Such initiatives can achieve success when new diseases are recognized early in their emergence and before they have spread beyond a reasonable containment zone that can only be managed by quarantines or eradication efforts.
1.3
Co-evolution of Plants and Their Pathogens
Darwinian paradigm of ‘variation and selection results in evolution’ plays an important role in predicting evolution of pathogens in nature. Nowadays, alarming disclosure is that the vaccines and chemical therapies used by medicinal and agricultural industries are perhaps the main forces driving the evolution of viral and microbial pathogens [33]. These evolutionary causes can further be used in the development of effective and sustainable treatments of micro parasitic diseases. “Co-evolution” includes population-level processes of reciprocal adaptation of interacting species. Reciprocal traits involved in co-evolution include pathogen infectivity and host resistance. As host defences may reduce the fitness of parasite, host and parasites may co-evolve, defining co-evolution as the process of reciprocally adaptive genetic change in two or more species. Accordingly three conditions
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that should meet for host pathogen co-evolution are (1) genetic variation in the relevant host and pathogen traits; (2) reciprocal effects of the relevant traits of the interaction on the fitness of host and pathogen; (3) dependence of the outcome of the host-pathogen interaction on the combination of host and pathogen genotypes involved [34]. For plant-virus co-evolution taking Arabidopsis thaliana as model system, there are only partial evidences regarding the detrimental effects of highly virulent viruses in crop production. In such cases, the infection is not necessarily linked to a fitness decrease and the changes in the genetic structure of virus population or a resistance factors introduced by breeder through genetic manipulation of the host plant [35]. Understanding the forces driving co-evolutionary trajectories requires accounting for both within and among-population processes in space and time [36]. Theoretical studies of co-evolution date back over 40 years. Many host pathogen interaction models have been studied. In which primarily animal-virus system of European rabbit-myxoma virus system is a classical example. When the virus was introduced into a local virus population, phenotypic changes were observed in both pathogen and host components of virulence [37]. Plant defence systems have similarity to mammalian innate cellular immunity at a molecular level, and utilize analogous components to recognize pathogen-derived signals and induce defence responses. In both systems pathogens deliver effecter proteins into their respective host cells to mimic, suppress, or modulate host defence signaling pathways and to enhance pathogen fitness. On the host side, plants and animals have evolved refined surveillance mechanisms to recognize various pathogens [38, 39]. These evolutionary commonalities combined with ethical issues that limit experimental manipulations in animal populations, make plant-based systems powerful models for studying the impacts of genetic variation in host disease resistance [40]. Co-evolution is a dynamic process, which occurs in cycles. In first phase of a cycle, plant develops some resistant character against its attacking pathogens; these resistance characters reduce the survival or virulence of attacking pathogens. This initiates second phase of a co-evolutionary cycle: the evolution of counter-resistance by attacking pathogens, to evade plant resistance mechanisms; each partner continually evolving just to keep pace with the other, like an evolutionary game of “ping-pong” [41–43]. This process is vibrantly termed as ‘Red Queen’ dynamics [34]. There are several examples in which natural enemies exhibit such characters that can be interpreted only as having evolved to confer counter resistance. For example, seeds of the tropical legume Dioclea megacarpa, which contain the non-protein amino acid L-canavanine, are toxic to most insects because their arginyl-t-RNA synthetases also incorporate L-canavanine into proteins. However, the bruchid beetle Caryedes brasiliensis, whose larvae feed solely on D. megacarpa, has evolved a modified t-RNA synthetase that distinguishes between L-canavanine and arginine [41, 44]. So the beetle has co-evolved according to its host resistance. Similarly, chitinase evolution in Arabidopsis and related species in the genus Arabis exhibits remarkable similarities to receptor evolution. Plant chitinases are co-evolving with pathogen chitinase inhibitors [45]. However, in some cases counter resistance of a plant against its natural enemy may have additional physiological or ecological functions. Thus, it is a matter of debate whether the resistant characters
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are a part of natural selection imposed by natural enemies or only have routinely defensive role in plant physiology [41]. In a phylogenetic analysis done by Richards et al. [46], phytopathogens are extremely important because of their economic impact in the field of agriculture. Most of the evolutionary relationships are studied between oomycetes and the fungi, as most of the economically important plant pathogens are found among these groups. Lateral gene transfer is considered as one of the contributing factor for emergence of new phytopathogen. There are several reports on acquisition of prokaryotic genes by microbial eukaryote while there have been few reports on eukaryote-to-eukaryote gene transfers, as a dense taxon sampling is needed to identify donor and recipient lineages for transfer events [47–49]. The gene exchange in unrelated organisms of prokaryotic origin could be both the cause and consequences of adaptation to similar environments, and result in extensive convergent evolution [50]. New disease can also results by acquisition of a new gene function such as Tan spot of wheat is believed to have emerged as a result of lateral gene transfer of the gene for Tox A from the related wheat pathogen Stagonospora nodorum in Pyrenophora tritici-repentis. The most common evidence for lateral transfer is that genes isolated from the proposed recipient are absent in closely related species but present in more distantly related species [51, 52]. There is a growing appreciation among ecologists that long-term evolutionary history has a major role in explaining the composition and structure of ecological communities and phylogenetic approaches are essential in achieving explanation [53]. Sirtuin genes are found in all eukaryotes examined so far, including plants, fungi, and animals. It is therefore safe to assume that sirtuins are very ancient enzymes that existed in the common ancestor of today’s eukaryotes, possibly more than a billion years ago. Sirtuin enzymes evolved early in life’s history to increase somatic maintenance and survival during times of adversity. The xenohormesis hypothesis of Howitz and Sinclair proposes that primordial species synthesized polyphenolic molecules to stimulate sirtuins during times of stress. Plants have retained this ability. Survival pathways in fungi and animals have retained the ability to respond to plant stress signalling molecules because they provide useful information about the state of the environment and/or food supply. This ability would allow organisms to prepare for and survive adversity when they might otherwise perish [54]. Many plant pathogens are limiting factors in food production throughout the world. Agro-ecosystems will need to be re-engineered to prevent the continuous emergence of new pathogens. A combination of environmental, species, and genetic heterogeneity should be reintroduced into the agro-ecosystem to make it less conducive to pathogen emergence. For example, environmental heterogeneity can be increased by combining agriculture and forestry or with other mixed cropping systems. Crop species diversity can be increased through faster and more complex crop rotations, planting of species mixtures, and by decreasing average field size. Genetic diversity within monocultures can be increased by growing several different cultivars of the same host in patches within the same farm. The result of re-engineering the agro-ecosystem will be to develop more sustainable and reliable food production that will be needed to support the human population for the upcoming years.
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Mechanisms of Plant Disease Resistance
The emergence of a new disease is an output of a number of conditions and steps, including the enhanced fertility of the new pathogen, enhanced survival from season to season, and spread around the world. It also depends on plant’s resistance abilities to defend pathogen attack. Plant populations are often genetically polymorphic for resistance to pathogens. Pathogens are, in turn, polymorphic for virulence genes that can evade plant resistance. Plants exhibit two types of resistance: horizontal and vertical resistance. Horizontal resistance is polygenic, and acts against all races of a particular pathogen. Vertical resistance, conferred by the R-genes, is oligogenic, and can be overcome by a change of race. Horizontal resistance slows down the rate at which disease increases in the field. Vertical resistance reduces the initial amount of inoculum from which the epidemic begins. A slow rate of disease increase in the field greatly enhances the benefit from reducing the initial inoculum. Therefore, horizontal resistance greatly enhances vertical resistance: horizontal resistance activates the R-genes [55, 56]. The definitive character of vertical resistance is gene-for-gene relationship as in vertical resistance there are single genes for resistance in the host plant, and there are also single genes for parasitic ability in the parasite [57]. Advances in understanding host-pathogen co-evolutionary interactions requires knowledge of the molecular basis of host resistance and pathogen virulence; so in 1991, researchers began assaying different inbred accessions of Arabidopsis, and found considerable variation in disease resistance and susceptibility among them, following inoculation with strains of the bacterial pathogen Pseudomonas syringae [58, 59]. Studies revealed that some of this variation resulted from the recognition of specific bacterial avirulence genes, avrRpt2 and avrRpm1, which were capable of restricting the growth of an otherwise virulent P. syringae isolate. This was the first step in identifying avr-R gene pairs in Arabidopsis, and opened the door to using the strengths of Arabidopsis to analyze the key genetic idea in plant pathology: the genefor-gene hypothesis [60, 61] and till date Arabidopsis has been an excellent model for answering fundamental question in molecular plant-microbe interactions [62]. The concept of mutation of avirulence genes leading to the defeat of resistant cultivars is also a step convincing for gene-for-gene hypothesis. Point mutations have been implicated in the mutation of avirulence genes in fungal pathogen races [63]. For example, cloning and sequencing of specific avirulence (Avr) genes in Melampsora lini found evidence for functional changes in the coding regions of targeted Avr genes that occurred almost exclusively via non-synonymous mutations [64]. These observations provide strong independent evidence for the operation of selection on these genes.
1.4.1
Host-Parasite Interaction
The initial interactions of pathogen and plant are the determining factors for disease development. In a bacterial infection, it first colonize the leaf surface then enter leaf mesophyll tissue through natural stomatal openings, hydathodes, or wounds, thus
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making their first contact with internal host cells and remain in apoplast of plant cells; whereas fungi extend their hyphae, which either directly penetrate the epidermis or differentiate to form specialized nutrient exchange structures such as haustoria. After initial contact the potentially infectious agents produce microbe-associated molecules, such as bacterial flagellin, lipopolysaccharide (LPS) and fungal chitin, termed as MAMPs (microbe-associated molecular patterns) [65–67]. The recognition of different MAMPs presumably by specific plant pattern-recognition receptors (PRR) activates the common signaling pathways including MAP kinase (MAPK) cascade, defence gene transcription, rapid microbursts of reactive oxygen species (ROS) and callose deposition to strengthen the cell wall at sites of infection as a result of complex cellular remodelling [68, 69]. Plants have evolved a variety of PRRs to perceive diverse microbial patterns [70]. Many MAMP receptors have been isolated and characterized by using biochemical and genetic approaches. Initially a 75-kDa soybean plasma membrane protein was purified as the binding protein for hepta-E-glucan, the cell wall component of oomycetes [71]. The understanding of MAMP perception was greatly advanced with the isolation of the putative bacterial flagellin receptor FLS2 in Arabidopsis. FLS2 is a transmembrane receptor-like kinase (RLK) with extracellular leucine rich repeats (LRR) domain [72]. There is large number of RLKs in plants, with more than 600 in Arabidopsis [73]. One of the earliest responses at the time of pathogen attack is the generation of ROS including superoxide anion (O2−2), hydrogen peroxide (H2O2), and hydroxyl radical (OH−) [74]. On interaction with MAMPs there is a rapid influx of calcium ions (Ca2+) in cytosolic compartment which is often correlated with the production of ROS. Similar response was observed in Arabidopsis leaf cells [75]. Beside this early Ca2+ influx into the cytosolic compartment, a rapid efflux of potassium (K+), chloride (Cl−) ions and extracellular alkalinisation of elicited cell cultures has also been observed [76]. The plant ROS is toxic to pathogens directly and cause strengthening of host cell walls via cross linking of glycoproteins [77]. ROS generation lead to a hypersensitive response (HR) that results in a zone of host cell death, which prevents further spread of biotrophic pathogens [78, 79]. In addition to the described direct effects, ROS can also serve as signals that lead to the activation of other defence mechanisms in conjugation with salicylic acid (SA) and nitric oxide (NO) [80]. It acts as intercellular or intracellular second messenger during signal transduction of defence response [81]. Several mechanisms have been proposed for ROS generation in plants such as NADPH-oxidase and superoxide, peroxidase and hydrogen peroxide, nitric oxide, oxalate oxidase, lipid peroxides and oxylipin production [82]. Of these mechanisms, the plasma membrane NADPH-dependent oxidase system has received the most attention because of its similarity to the mammalian oxidase system that initiates ROS production in phagocytes and B lymphocytes as a response to pathogen attack [83, 84]. A rapid elevation of ROS specifically in resistant wheat and non host rice plants attacked by Hessian fly larvae was observed. Global analyses of gene transcripts known to be or potentially involved in ROS homeostasis indicated that class III peroxidases and oxalate oxidases, instead of NADPH-dependent oxidases, were likely the source of ROS generation in wheat plants during incompatible
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interactions [85]. In barley (Hordeum vulgare) ROS production has been associated with the formation of defensive barriers against powdery mildew and there is a polarized delivery of ROS, in vesicles inside the cell, which might contribute to inhibition of pathogen growth [86, 87].
1.4.2
Pathogenesis Related (PR) Proteins
PR proteins, initially defined as b-protein, are encoded by the host plant in response to stress generated by various types of pathogens and also by the application of chemicals that induce similar stresses [88]. PR genes get expressed in response to salicylic acid (SA), jasmonic acid (JA) and ethylene (ET) as a part of systemic acquired resistance (SAR) in plants [89]. PR proteins originally were divided into five groups (PR1–PR5) on the basis of findings of serological and sequence analysis, afterwards another six groups of proteins induced by pathogens were recommended for inclusion in PR proteins [90]. The five classic PR protein groups have been divided into acidic and basic subclasses on the basis of chemical properties, cellular localization and the mechanisms by which they are induced [91]. Acidic PR proteins, including PR1 D,E-1,3-glucanases and acidic chitinases, are induced by tobacco mosaic virus (TMV) infection or SA [92] while basic PR proteins, like PR1b and basic chitinases, are efficiently induced by wounding or ET and JA treatment [93]. The other six groups include proteinase inhibitors, lysozymes and peroxidases, and can also be elicited [94].
1.4.3
R (Resistance) Gene
Plant–pathogen interactions are governed by specific interactions between pathogen Avr (avirulence) gene loci and alleles of the corresponding plant disease resistance (R) locus in a variety of host plants, directing responses toward a broad diversity of pathogens including bacteria, fungi, oomycetes, nematodes, and viruses, and even insects. Pathogen’s Avr genes encode specific elicitors of host defence responses. When corresponding R and Avr genes are present in both host and pathogen, the result is disease resistance, if either is inactive or absent, this results in disease establishment [95]. A set of structurally similar R proteins determines the recognition of a diversity of Avr proteins (type III effector proteins). These type III effectors effectively suppress MAMP mediated immune responses. However, plants have coevolved R proteins to recognize effector proteins and induce potent gene-for-gene resistance [66, 67]. The vast majority of R genes encode proteins containing a nucleotide-binding site (NBS) and leucine-rich repeats (LRRs) [96]. However, the biochemical functions of the majority of the type III effectors remain elusive. Recent structural studies of type III effectors from both mammalian and plant pathogens have revealed important functional information. By these studies, the strategies
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employed by plant pathogens to promote virulence can be revealed and their prevention can be determined [97].
1.4.4
Plant Hormones and Defence
The interaction between plant hormone signaling and plant pathology is complex and intertwined. Genetic screens in Arabidopsis have defined many of the pathways involved in the synthesis, perception and effect of plant hormones [98]. These phytohormones are capable of transducing normal development signals such as seed germination, seedling establishment, cell growth, respiration, stomatal closure, senescence-associated gene expression, responses to abiotic stresses, basal thermo tolerance, nodulation in legumes, and fruit yield or adverse environmental stimuli to plant cells for initiating protective responses. Thus plant hormone signaling plays a major role in determining the outcome of plant–pathogen interactions [99, 100]. The best-characterized defence hormones include SA, JA and ET. Critical components of the SA pathway were revealed via genetic screens in Arabidopsis. Transduction of the SA signal leads to activation of genes encoding PR proteins, some of which have antimicrobial activity. The regulatory protein NONEXPRESSOR OF PR GENES1 (NPR1) is required for transduction of the SA signal because mutations in the NPR1 gene render the plant largely unresponsive to pathogen-induced SA production [101]. In Arabidopsis, JA biosynthesis is initiated by a wound-mediated release of a-linolenic acid from chloroplastic membranes, followed by the activity of several chloroplast-located enzymes, including 13-lipoxygenase (LOX). Silencing of LOX3, in Nicotiana attenuata plants, has been shown to reduce JA levels and impair both direct and indirect defences in LOX3-silenced plants [102]. The JA receptor was recently identified to be CORONATINE INSENSITIVE1 (COI1), an F-box protein required for response to both coronatine (pathogen-derived phytohormone, responsible for stomatal opening to allow entry into the mesophyll) and JA [103]. ET is known to be involved in mediating plant defence responses against herbivores [104]. In Arabidopsis, ET signal transduction is initiated by ET perception through multiple membrane-bound receptors: ETHYLENE RESPONSE1 (ETR1), ETR2, ETHYLENE RESPONSE SENSOR1 (ERS1), ERS2, and ETHYLENE INSENSITIVE4 (ETI4) [105]. All the signaling pathways involved in defence mechanism interact in a complex manner demonstrated by the antagonism of SA and JA, as well as the synergism between JA and ET [106, 107]. Though plants have developed various mechanisms to evade the pathogens yet occurrence of disease is very frequent. In the future, we are likely to see a rapid expansion in our knowledge of alternative mechanisms of resistance, such as efflux systems of the kind associated with multidrug resistance, innate resistance due to insensitivity of the target site of phytopathogens, and other novel mechanisms. The manipulation of plant biosynthetic pathways to alter antibiotic profiles will also tell us more about the significance of secondary metabolites for plant defence. Exploiting the knowledge of the Biochemistry and Molecular Biology of disease in order to increase resistance will also be helpful in disease prevention.
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Control Measures
One of the major aspects of plant pathology is to enhance crop production by introducing genetically improved (high-yielding, less susceptible to pathogens) cultivars, enhanced soil fertility via chemical fertilisation, pest control via synthetic pesticides, and irrigation. Besides physical control methods e.g. mowing, slashing, burning, flooding, hand removal, physical barriers (i.e. netting, fences), use of pesticides is very common method for controlling various phytopathogens. The use of synthetic pesticides in the US began in the 1930s and became widespread after World War II. By 1950, pesticide was found to increase farm yield far beyond pre-World War II levels. Farmers depend heavily on synthetic pesticides to control insects in their crops. There are many classes of synthetic pesticides. The main classes consist of organochlorines (e.g., Dichlorodiphenyltrichloroethane: DDT, toxaphene, dieldrin, aldrin), organophosphates (e.g., diazinon, glyphosate, malathion), carbamates (e.g., carbofuran, aldicarb, carbaryl), and pyrethroids (e.g., fenpropanthrin, deltamethrin, cypermethrin). The use of synthetic pesticides in agriculture comes with a cost for the environment, and the health of animals and humans. Exposure to pesticides can cause acute or chronic effects on animals and humans, especially in the reproductive, endocrine, and central nervous systems. So in 1996, US Environment protection agency (EPA) applied Food Quality Protection Act [108] which regularizes the pesticide registration procedures. Therefore, the need for discovery and development of some natural product-based pesticides gain momentum. Organic pesticides like rotenone obtained from Derris root and pyrethrum obtained from Chrysanthemum flower heads were discovered in nineteenth century at the time of European Agriculture revolution. Such organic pesticides are the chemicals that plants use to protect themselves from parasites and pathogens. Essential oils such as pine oil, clove oil, citronella oil are commercialized in various compositions and have herbicidal activity [109]. Inorganic pesticides like borates, silicates and sulphur, work as poisons by physically interfering with the pests. Current inorganic pesticides are relatively low in toxicity and have low environmental impact. Borate insecticides, for example Bora Care and Timbor, in particular, have many uses in structural pest management. Biorational pesticides are those synthetic, organic, or inorganic pesticides that are both, low toxic and exhibit a very low impact on the environment [110]. These are some direct methods of controlling pathogens by applying chemicals, besides this biological and genetic control methods are some of the methods which are being dynamically used since last decades. Both methods are described here in brief.
1.5.1
Biological Control
Biological control, as most commonly construed, is the use of living organisms to control pests. Plant pathogens, insects, nematodes and weeds are controlled by the use of some biologicals. It is the direct inoculation of microbial agents (also called antagonists) into soils or onto host surfaces for immediate benefit [111–113].
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Plant growth-promoting bacteria control the plant damage by phytopathogens. This involves different mechanisms including: out competing the phytopathogen, physical displacement of the phytopathogen, secretion of siderophores to prevent pathogens in the immediate vicinity from proliferating, synthesis of antibiotics and synthesis of a variety of small molecules. All these steps can inhibit phytopathogen growth, production of enzymes that inhibit the phytopathogen and stimulation of the systemic resistance of the plant [114]. Intensive screens have yielded numerous candidate organisms for commercial development. Some of the microbial taxa that have been successfully commercialized and are currently marketed as EPA-registered biopesticides in the United States include bacteria belonging to the genera Agrobacterium, Bacillus, Pseudomonas, and Streptomyces and fungi belonging to the genera Ampelomyces, Candida, Coniothyrium, and Trichoderma [115]. More studies on the practical aspects of mass-production and formulation need to be undertaken to make new biocontrol products stable, effective, safer and more cost-effective. Now-a-days detailed studies have been done on mechanism of these biological agents, how they reduce damage inflicted by pathogen, for example the role of the indigenous plasmids of Pseudomonas aeroginosa (D) and Azospirillum species isolates in fungal antagonistic property are clarified and more efficient bacterial transformants in controlling the plant pathogen Fusarium solani by chitinase gene transfer have been produced [114]. Recently a Gram-negative rhizobacterial isolate (LSW25) antagonistic to Pseudomonas corrugata (a vein necrosis pathogen of tomato) and promotes the growth of tomato seedlings by increasing calcium uptake, was isolated from surface sterilized tomato roots [116]. Currently, there has been revival of interest in use of bacteriophages for control of bacterial plant diseases [117]. Phage could play an important role in limiting bacteria in the soil, due to the presence of the lytic cycle. Using the strategy of phage application proposed by L. E. Jackson [118], bacterial spot of tomato was significantly controlled than the standard copper-mancozeb treatment. Additionally, the yield of extra-large fruits was significantly higher on phage-treated plants than on copper-mancozeb treated ones. The phage mixture reduced disease severity of bacterial spot by 17%, whereas copper-mancozeb application caused 11% reduction [119]. The first commercial company to produce phages specifically for control of bacterial plant diseases was AgriPhi, Inc., established by L. E. Jackson [118].
1.5.2
Genetic Control
Each year there is great crop loss caused by pathogenic bacteria, phytoplasmas, viruses and viroids. These microorganisms are difficult to control, as they multiply at an exponential rate and many of them can remain latent in “subclinical infections”, and/or in low numbers, and/or in some special physiological states in propagative plant material and in other reservoirs [120, 121]. In this context, rapid, cheap, sensitive, specific and reliable identification methods of pathogens are required to apply treatments, undertake agronomic measures or proceed with eradication practices,
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particularly for quarantine pathogens. Increasingly, modern diagnostic tools are being based on the DNA characteristics of the pathogen as they present adequate diversity to distinguish species, strains, substrains, isolates, and even individuals; and offer convenience of detection using modern bio-techniques such as polymerase chain reaction (PCR) or Reverse Transcription (RT)-PCR [122]. Using RT-PCR technique detection of Cherry green ring mottle virus and Cherry necrotic rusty mottle virus in Prunus spp. has been done [123]. Further advancement in detection methods has been done by developing micro-array technology which provides the next generation of DNA diagnostics to measure different pathogens in a massively parallel manner on a single chip and avoid laborious confirmation procedures. A porous capillary solid phase micro-array system is shown for plant-pathogenic Phytophthora spp. multiplex detection [124]. Besides diagnostic methodology transformation techniques have been used to develop resistant varieties. Till date there are several examples of transgenic plants development for disease resistance, some of them are given here. A cloned non host gene (Rxo1) from maize with resistance to Bacterial leaf streak (BLS) of rice caused by Xanthomonas oryzae pv. oryzicola (Xooc), was transferred into four Chinese rice varieties through an Agrobacterium-mediated transformation system. Molecular analysis of the transgenic plants showed the integration of the Rxo1 gene into the rice genomes [125]. Likewise transgenic tobacco plants with synthetic gene of antimicrobial peptide Cecropin P1 were obtained, which exhibit enhanced resistance to phytopathogenic bacteria Pseudomonas syringae, P. marginata, and Erwinia carotovora [126]. The transgenic technology is meant to carry genetic uniformity in the crops with disease resistance as the most promising applications of genetically modified crops. However, the growth of transgenic technologies in agricultural practice has been limited by public opinion in some countries. The process of genetic engineering can introduce dangerous new allergens and toxins into foods that were previously naturally safe. At present, only two traits are the subject of the commercialized transgenic biotechnology: herbicide (glyphosate) tolerance and insect resistance conferred by the Bt gene from Bacillus thuringiensis. This means that new technologies to fight weeds and insects are in place, and are in itself a noteworthy and positive step. In future new findings will give us many genes for insect and disease resistance, and then we may feel more secure from the genetic vulnerability that may be presented at the current stage of development of the technology.
1.6
Conclusion
Plants are immobile and as such are incapable of escaping attack by insect and microbial pests. Crop losses due to pests can be devastating to the point of creating a famine. Fungal and bacterial pathogens account for the greatest overall losses associated with plant diseases. One of the primary objectives of conventional plant breeding was to develop resistance to plant diseases. Results, however, were limited due to the length of time needed to develop varieties through conventional breeding,
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the lack of suitable donor varieties, and the ability of microbes to adapt by neutralizing plant defense mechanisms. Now-a-days plants are genetically modified not only to increase quality of food but also to sustain the environmental threats including pathogens with increased shell life. Availability of pathogen-free germplasm to different organization in a safe and timely fashion is the need of hour. There is much to be done to expand our knowledge of plant pathogens and our ability to deal with them. The identity of many damaging pathogens that currently exist has not been done and the severity of the symptoms they cause is often subjective and qualitative rather than objective and quantitative. Plant pathogen populations are also genetically variable with time and space. Although there have been many epidemiological studies, it is difficult to predict the origin of the next plant disease catastrophe that will affect one or other of our crops vital to food security in some part of the globe. Pathogens that have evolved new virulence characteristics can also give rise to some famine conditions. There is a need for adoption of novel and potentially valuable opportunities for crop improvement - especially in developing countries, where new developments are most needed to enhance food security.
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Part II
Applications of Biological and Natural Agents
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Chapter 2
Stilbenes: Biomarkers of Grapevine Resistance to Disease of High Relevance for Agronomy, Oenology and Human Health Katia Gindro, Virginia Alonso-Villaverde, Olivier Viret, Jean-Laurent Spring, Guillaume Marti, Jean-Luc Wolfender, and Roger Pezet
Abstract Stilbenic phytoalexins are key defence molecules implicated in the resistance of grapevine cultivars to three major fungal pathogens, Botrytis cinerea (grey mould of grape), Plamopara viticola (downy mildew) and Erysiphe necator (powdery mildew). HPLC analysis of stilbenes is an efficient method to evaluate the ability of the vine plants to inhibit the development of fungal pathogens. Resistant grapevine varieties react very rapidly to infections by producing high concentrations of the most toxic stilbenes, G-viniferin and pterostilbene, at the sites of infection. Monitoring of such stress biomarkers is also of great interest for evaluating the efficiency of priming molecules at inducing the grapevines’ natural defence responses. In addition, these compounds have various beneficial effects on human health, acting as anti-oxidants and also as potential chemopreventive agents. The diversity of stilbenes is intriguing, and new holistic analytical approaches, such as metabolomics, that are widely used for wine classification also have great potential for the comprehensive study of responses of Vitaceae to biotic and abiotic stress.
K. Gindro (* s / 6IRET s * , 3PRING s 2 0EZET Swiss Federal Research Station Agroscope Changins-Wädenswil, Route de Duillier, 0/ "OX #( .YON 3WITZERLAND e-mail:
[email protected] V. Alonso-Villaverde Misión Biológica de Galicia (CSIC), P.O. Box 28, 36080 Pontevedra, Spain ' -ARTI s * , 7OLFENDER 3CHOOL OF 0HARMACEUTICAL 3CIENCES 5NIVERSITY OF 'ENEVA 'ENEVA 3WITZERLAND 3CHOOL OF 0HARMACEUTICAL 3CIENCES 5NIVERSITY OF ,AUSANNE ,AUSANNE 3WITZERLAND
J.M. Mérillon and K.G. Ramawat (eds.), Plant Defence: Biological Control, Progress in Biological Control 12, DOI 10.1007/978-94-007-1933-0_2, © Springer Science+Business Media B.V. 2012
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Introduction
Stilbenes are a family of molecules, whose chemical structure in both the monomeric and oligomeric states is constituted by a diphenylethylene group oriented in cis or trans. When exposed to UV light, they emit intense blue fluorescence. This characteristic is the origin of the name stilbene, which derives from the Greek word “VWLOERV” (stilbos), translated as “shining”. Stilbenes are natural phenolic compounds and have been isolated and identified in 25 different plant families and also in a Bryophyte and an Antarctic sponge (Table 2.1). This list is likely not exhaustive, but it shows the broad distribution of the biochemical pathway for stilbene synthesis in plants and other organisms. Stilbenes are secondary plant products that are produced through the phenylalanine/polymalonate pathway. Resveratrol was the first stilbene identified [27] and is the most studied. 3TILBENE SYNTHASE IS THE KEY ENZYME FOR THE FORMATION OF RESVERATROL AND OTHER stilbenes produced from various phenolic precursors [28–31] (Fig. 2.1). Table 2.1 Plant families containing stilbenes (only one reference is given per family) Plant family Species Stilbenea Asteraceae [1] Leuzea carthamoides 3,3c-dimethoxy-4,4c-dihydroxystilbene Salacia lehmbachii Lehmbachols A-D Celastraceae [2] Cesalpiniaceae [3] Guibourtia tessmannii 3,4c-dimethoxy-5-rutinosyl stilbene Cyperaceae [4] Scirpus holoschoenus 2-prenyl-3,5,4c-trimethoxystilbene Dioscorea dumentorum Dihydroresveratrol Dioscoreaceae [5] Dipterocarpaceae [6] Stemonoporus canaliculatus Caniculatol Loiseleuria procumbens Piceid Ericaceae [7] Euphorbiaceae [8] Macaranga mappa Mappain Fabaceae [9] Arachis hypogaea 3,5,4c-trihydroxystilbene Gnetaceae [10] Gnetum gnemon Gnemonoside K Anigopreissin A Haemodoraceae [11] Anigozanthos flavidus Hyacinthaceae [12] Scilla nervosa Isorhapontigenin Iridaceae [13] Iris clarkei Ampelopsin B Moraceae [14] Artocarpus incises Artocarbene Musa cavendish Anigopreissin A Musaceae [15] Myrtaceae [16] Eucalyptus wandoo 3,5,4c-trihydroxystilbene-3-E-D-glucoside Orchidaceae [17] Dendrobium plicatile Ephemeranthoquinone Paeoniaceae [18] Paeonia suffruticosa Suffruticosols A, B and C Pinaceae [19] Picea abies Isorhapontin Polygonaceae [20] Rheum rhaponticum Rhaponticin Rosaceae [21] Holodiscus discolor Resveratrol-3-O-E-D-xylopyranoside Umbelliferaceae [22] Foeniculum vulgare Foeniculosides I, II, II, IV Vitaceae [23] Vitis vinifera Resveratrol Zingiberaceae [24] Alpinia katsumadai 1(1-terpinen-4-olyl)-3-methoxystilbene (E) Others Marchesina hongardiana 3,4-dihydroxy-3c-methoxystilbene Lejeuneaceae [25] Antarctic sponge [26] Kirkpatrickia variolosa Resveratrol triacetate a One representative stilbene for each species is shown
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Fig. 2.1 General structure of stilbenes (according to [31])
Plant-derived stilbenes are isolated as hydroxylated, methylated, esterified, glycosylated or prenylated monomers or as polymers. In Vitaceae, resveratrol and D-, E- and H-viniferin were identified to be phytoalexins [23, 32], which are antimicrobial substances synthesised de novo by plants that accumulate rapidly at areas of incompatible pathogen infection. A methylated stilbene, pterostilbene, was later identified by Langcake et al. [33]. Prior to these studies, resveratrol and pterostilbene were reported in other plants. Resveratrol was first identified in Veratrum grandiflorum by Takaoka in 1939 [27]. Its name likely derives from an abbreviation of the class of molecules to which resveratrol belongs, i.e., resorcinol, the plant name Veratrum and ol indicating the presence of a hydroxyl group. Pterostilbene was first described by Spath and Schläger [34] in Pterocarpus santalinus. In Vitaceae, stilbenes represent defence biomarkers because they occur as phytoalexins that are produced dynamically in response to biotic or abiotic stress. Though resveratrol and its derivatives are present in lignified stem tissue [35, 36], it is absent in the healthy green parts of the grapevine (leaves, young canes). Pterostilbene, however, is present in the healthy grape berries of Vitis vinifera (var. Gamay) [37]. The rate of synthesis of resveratrol after stress induction depends on the grape variety and provides a good metric for evaluation of the resistance of grapevine cultivars to grey mould and downy mildew [35, 36, 38–41]. Resveratrol and its derivatives are present in grape berries [42] and were found in wine by Siemann and Creasy [43]. When Renaud and de Lorgeril [44] and Frankel et al. [45] demonstrated the cardiovascular-protective effects of resveratrol, the French Paradox theory was born. Since then, much research has dealt with the beneficial effects of resveratrol and pterostilbene in medicine [46]. In addition,
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groups around the world have since studied the composition of stilbenes present in wine [42, 47–50]. The synthesis of pure pterostilbene and resveratrol has allowed the study of the toxic effect of these stilbenes on Botrytis cinerea, one of the major fungal diseases that attack grapevines [37, 51, 52= %NZYMATIC SYNTHESIS OF G-viniferin, as well as purification of H-viniferin from lignified canes [53], allowed toxicity testing of these resveratrol dimers on Plasmopara viticola (downy mildew) and Erysiphe necator (powdery mildew) [40, 41, 54, 55]. Because of these results, we have developed biological (artificial inoculation) and chemical methods (HPLC analysis of stilbenes in grape tissues) to evaluate the level of resistance of grapevine seedlings to downy and powdery mildew in breeding programmes. These tools have led to a significant reduction in the time and space required for such experiments.
2.2
Grapevine Cultivars as Models for Resistance to Fungal Diseases and as Breeding Tools
Among the approximately ten species of fungus that are considered to be major grapevine pathogens, three are most responsible for damage in the vineyards: the grey mould of grape (Botrytis cinerea), downy mildew (Plasmopara viticola) and powdery mildew (Erysiphe necator). The grape varieties presently cultivated around the world are more or less sensitive to these diseases and must be protected by repeated annual applications of fungicides. For example, depending on meteorological conditions, 8–10 different treatments are applied in Swiss vineyards to control downy mildew alone [56= )N 3WITZERLAND FOR MORE THAN YEARS THE 2ESEARCH Station Agroscope-Changins-Wädenswil (ACW) has undertaken grape breeding programmes to enhance the diversity and the quality of new cultivars. In 1970, André Jaquinet obtained an interspecies cross-bred strain named Gamaret (Gamay x Reichensteiner) [57]. This cultivar was introduced to Swiss vineyards in 1990. Over the two last decades, its cultivation has become increasingly important thanks to its oenological quality and its remarkable resistance to grey mould. From this programme, which is ongoing, eight new varieties, six red (Carminoir, Diolonoir, Gamaret, Galotta, Garanoir, Mara) and two white (Charmont, Doral), have been REGISTERED /F THESE 'AMARET HAS BEEN A GREAT SUCCESS IN 3WITZERLAND ;58]. Gamaret became a model for research on the mechanisms of resistance mechanisms to B. cinerea. This necrotrophic fungal parasite has a low sensitivity to resveratrol and other stilbene derivatives, with the exception of pterostilbene [37, 51]. However, Gamaret does not synthesise pterostilbene at concentrations that affect B. cinerea, so the observed resistance must be explained by other mechanisms. Synergy was observed between glycolic acid, a natural component of grape berries, and pterostilbene. The mixture of these components was found to be highly toxic to B. cinerea conidia [37, 51]. The most probable mechanism of resistance is related to constitutive phenolic and polyphenolic compounds (polymeric proanthocyanidines)
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known for their abilities to inhibit B. cinerea stilbene oxidase [53, 59] and to other HYDROLYTIC ENZYMES SECRETED BY THIS FUNGUS AS DEMONSTRATED BY "ATEMAN AND Basham [60]. Because the development of grey mould requires the active detoxification of phenolic compounds [59= INHIBITION OF THESE ENZYMES INHIBITS THE GROWTH of the fungus in grape berries [40]. 4HE SPECIlC CLIMATE IN 6ALAIS 3WITZERLAND ALLOWS THE CULTIVATION OF A LARGE RANGE of local and foreign grape varieties. Since 1992, an important project has been to safeguard the genetic resources of old, local and high-quality grapevine varieties in order to provide a convenient source for nursery garden and to maintain genotypic variability within varieties [61]. Today, more than 1,300 biotypes from 14 varieties have been placed in a conservatory (after testing for viruses). At the same time, evaluation of the agronomical and oenological value of a large panel of new varieties from various countries and research institutes, which derived from interspecies crossings between European and American or Asiatic species, was initiated. The results of this investigation allowed the introduction, in 1996, of a new cross-breeding programme whose aims are the following: high downy mildew resistance, good agronomical characteristics, high oenological potential, adaptability to various climatic conditions and low sensitivity to powdery mildew and grey mould. As for other research institutes, rapid estimation of the level of resistance at the seedling stage would significantly reduce the time, space and effort required for selection of resistant progeny. Due to the specific orientation of this breeding programme, histological and biochemical criteria, rather than molecular markerassisted selection, were used. Other solutions to these problems include the activation of the natural defence mechanisms of the plant using natural or synthetic products, as well as the application of antagonistic microorganisms that are only partially toxic [62, 63]. The study of genetic methods [64, 65] to transform traditional cultivars represents another alternative, but the production of genetically modified vines is still controversial [66, 67]. Although a long-term endeavour, grapevine breeding is the most effective way to create cultivars resistant to fungal diseases and to reduce the number of fungicide applications. In fact, traditional grape cultivars do not possess resistance against Plasmopara viticola or Erysiphe necator. The introduction of resistance mechanisms against mildews requires the use of wild American and/or Asiatic Vitis genotypes to supply resistance genes [68]. Therefore, crossbreeding programmes were initiated in different countries and research institutes to develop grapevine genotypes resistant to various diseases, especially downy mildew. Localisation studies of quantitative trait loci (QTL) for downy and powdery mildew resistance have been applied to grapes to obtain insight into the roles of various defence mechanisms in pathogen resistance. Different QTL for resistance to Plasmopara viticola (Rpv) [69–72] and Erysiphe necator (Run) [73, 74] have been mapped. One advantage of this genetic approach is the ability to combine resistance genes in a successive backcrossing strategy, thus introducing QTL loci from wild species into V. vinifera. However, while this strategy has substantial advantages, it is a time-consuming and costly process.
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Criteria for Early Selection of Resistant Grape Cultivars to Downy and Powdery Mildew
Grapevine breeding is one of the most promising methods to preserve genetic diversity, but it also allows the selection of specific genetic traits, such as resistance to pathogens. Each cross produces a large number of germplasms (collection of genetic resources), and a rapid way to estimate the downy mildew resistance level is absolutely necessary to avoid long and tedious field observations. For this purpose, artificial inoculations of seedlings with P. viticola sporangia or the conidia of E. necator and estimation of the development of the disease after 1 week of incubation is a very useful method [54, 55]. The production and the density of sporangia issued from these artificial inoculations are widely accepted as good criteria for the estimation of grapevine resistance to pathogens [36, 75–77]. Tests of resistance of grape cuttings in climate chambers or greenhouses are not always representative of the real resistance level in the vineyards, even if a good correlation has been demonstrated between artificial inoculations in glasshouses or climate chambers and field observations [78]. Other resistance criteria must be stringently tested in seedlings to correlate the resistance in greenhouse or in vitro tests and in vineyards. The first model of downy mildew resistant grape variety studied at ACW was 3OLARIS ;-ERZLING X 3APERAVI SEVERNEYI X -USCAT /TTONEL = WHICH WAS OBTAINED from the Weinbauinstitut Freiburg, Germany. In the case of P. viticola, two physiological events are representative of resistance to mildew. One is callose synthesis in stomata at 7 h post-infection with P. viticola ZOOSPORES ;79]. The second is the synthesis of stilbenic phytoalexins, especially resveratrol and its subsequent oxidation products, H- and G-viniferins, [33, 53, 54, 80] and the production of pterostilbene [40]. Callose, a sugar polymer that consists of (1-3)-E-D-glucose subunits, is a known constituent of papillae (raised thickenings in the cuticle), which have long been known to serve as plant defences [81]. When attacked, plants physically reinforce their cell wall to stall or to prevent pathogen penetration [82]. It is known that callose deposits play a role in the ability of grapevines to tolerate downy mildew [83]. More recently, rapid synthesis of callose in the stomata of grapevine leaves after P. viticola infection has been described. This phenomenon stops downy mildew penetration into the stomata and is only visible in resistant cultivars. In downy mildew-susceptible varieties, no callose synthesis has been observed, whereas the number of stomata with callose deposition is generally well correlated with the observed resistance of germplasms to mildew after artificial inoculations [79]. In addition to callose deposition in stomata, oxidised resveratrol derivatives and pterostilbene are produced in the leaves of resistant cultivars at the site of infection after artificial inoculation and can be analysed and quantified by HPLC [54]. One of the oxidation products of resveratrol was determined to be H-viniferin [80], and, more recently, an isomer of this product, the G-viniferin, was described as one of the major stilbenes present in stressed grapevine leaves [53]. Until now, pterostilbene, the stilbene with the highest toxicity towards downy and powdery mildew [40, 84] and grey mould [51], has only been produced in high quantities in specific vine
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Fig. 2.2 3IZE OF NECROTIC AREAS arrows) developed 72 h after artificial inoculation with Plasmopara viticola. (a) IRAC 2091[ACW new grapevine variety; Gamaret x Bronner]; (b) Muscadinia rotundifolia. Scale bars represent 1 mm
genotypes and backcrosses. Use of these genotypes must be prioritised to promote resistance. In susceptible cultivars, resveratrol is mainly glycosylated to form piceid. This addition of glucose to resveratrol protects it from further oxidation [85]. This is particularly important when we consider the respective toxicity of the different stilbenes towards each fungal pathogen. Glycosylated resveratrol (piceid) is not toxic, while H- and G-viniferins and pterostilbene are highly toxic [40]. Qualitative and quantitative analysis of stilbenes in the leaves of grapevine seedlings at 48 h post-inoculation is also highly predictive of the level of P. viticola resistance genotypes. In Muscadinia rotundifolia, the necrotic areas consist of a number of small necrotic spots (mean of 35 per 20 mm2, with an average surface area of 0.0028 mm2) located under the infection droplet surface. This means that samples must be taken very carefully, just around the developing necrotic areas under the magnifying glass, as shown in Fig. 2.2; otherwise, the intensity of the stilbene signals is diluted and therefore not representative of the real local accumulation. In this cultivar, the infection process is stopped before the development of either vesicles or infective structures and results in a rapid accumulation of considerable amounts of stilbenes [86]. Not all these stilbenes are equally toxic to P. viticola, as described previously. G-viniferin and pterostilbene are considered to be the most toxic to downy mildew. Pterostilbene is generally absent or present at concentrations that are too low to have a significant effect. In Muscadinia, at 24 h after infection, G-viniferin and pterostilbene are present at levels 24 and 42 times higher than their respective ED50s [53]. (ED50 signifies the concentration that inhibits 50% of the development of the pathogen.) Therefore, the most important step in the inhibition of disease in Muscadinia may be the rapid induction of metabolic responses, which occur before any haustorium can appear. According to these results, a two-step procedure is used to select seedlings that are resistant to downy mildew; it consists of the following steps: (1) artificial inoculation, in the greenhouse, of whole plantlets by spraying an aqueous suspenSION OF DOWNY MILDEW ZOOSPORES AND ELIMINATION OF SPORULATING PLANTS AFTER WEEK
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incubation; and (2) application of histological and biochemical criteria (sporulation, callose in stomata, H- and G-viniferins as well as pterostilbene production) to classify the detached leaves of remaining plants. Leaf samples must be excised under the infection droplets areas. The combination of these criteria have permitted us to establish threshold values for sporulation (<15 sporangia mm−2), callose (>15% of infected stomata presenting callose deposits), and stilbene levels (>40 Pmol mg−1 FW G-viniferin and >50 Pmol mg−1 FW H-viniferin) that can be used to identify resistant seedlings, which are then transferred to the hybridiser and can be planted in the vineyard for further agronomical and oenological evaluation. Currently, 58 crosses have been performed, generating more than 22,000 plantlets, of which 900 have been selected using the early tests described before (mean of 4% of the initial plants). 33 varieties (30 red and 3 white) have been propagated to obtain 20 plants, from which 13 have been successfully planted in extended performance trials. Finally, one variety has been announced for DHS (Diversity Homogeneity Stability) registration in 2009. More recently, the resulting resistant seedlings have been screened for powdery mildew resistance, using histological and biochemical criteria [87]. However, no plantlets were eliminated until a final validation of the correlation between field observations and laboratory results has been performed. A one-step procedure was developed to evaluate the susceptibility of the remaining seedlings. First, leaf fragments are taken and fixed under osmium vapours for scanning electron microscopy (SEM) analysis. In fact, scanning electron microscopy of the grapevine adaxial leaf surface has revealed that the crystallisation pattern of epicuticular waxes varies between susceptible and resistant grape varieties (Fig. 2.3) [55]. The susceptible V. vinifera cv Chasselas displays a relative smooth surface and some scattered protuberances, giving it a crusty appearance. However, the surface of V. candicans, which is very resistant to powdery mildew, is densely covered by platelet-shaped crystals that protrude perpendicularly from the leaf plane. The width and the crystallisation patterns were confirmed by transmission electron microscopy. The platelets exhibit thin margins and relative triangular shapes on which no haustoria could be observed. Though these results are interesting, SEM is quite time-consuming and therefore unsuitable for a rapid evaluation of seedling resistance in our breeding programme. Further artificial inoculations were performed on leaf disks incubated under optimal conditions for E. necator growth. Observation of its development and quantification of the conidia germination rate, level of appressoria formation, mycelial network density and sporulation level at 6 days after inoculation are efficient epidemiological criteria to determine the level of susceptibility of seedlings to E. necator. A phenomenon specific to Erysiphe necator infection is the production of mycelium strictly on the host surface. Consequently, the induction of defence metabolites [88] increases only during the development of infectious structures (appressoria, infection peg and haustorial differentiation). The haustoria of E. necator infect only the first epidermal cell layer, while P. viticola develops an intercellular mycelium that invades the mesophylle and forms many infective structures in the cells. Because of the local synthesis of stilbenic phytoalexins at the sites of infection, the quantification of stilbenes induced by powdery mildew infections must be linked to the number of appressoria and infective structures [84].
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Fig. 2.3 Crystallisation pattern of epicuticular waxes of two grapevine cultivars that are susceptible (V. vinifera cv. Chasselas) and resistant (Vitis candicans) to Erysiphe necator and development of the pathogen on the two different structures. (a) Epicuticular waxes of Vitis candicans, observed by scanning electron microscopy (SEM), showing platelet-shaped crystals that protrude perpendicularly from the leaf plane (Dr S. Schnee). (b) Epicuticular waxes of V. vinifera cv. Chasselas, observed by SEM, showing a smooth surface with scattered protuberances (Dr S. Schnee). (c) same as (a), but observed by transmission electron microscopy (TEM). (d) same as (b), but observed by TEM. (e) E. necator conidium, 3 days after inoculation on V. candicans; no haustorium development was observed. (f) E. necator conidium, 1 day after inoculation on V. vinifera cv. Chasselas, with a well developed hautorium arising from an appressorium. a appressorium, c conidium, h haustorium
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Results have shown a strong induction of viniferins, which are very toxic towards E. necator, in resistant grapevine cultivars. For this reason, the quantification of viniferins at 48 h after inoculation is an important measure of resistance towards powdery mildew. The choice and the relevance of each criterion of resistance must still be correlated to the real resistance of the grapes in question towards E. necator in field trials.
2.2.2
Use of Analytical Criteria to Evaluate Elicitors
As mentioned, disease control can be achieved with the repeated use of fungicides, with the risk of emergence of resistant strains of P. viticola [89]. Recently, with the rise of sustainable viticulture, the elicitation or priming of endogenous defence mechanisms in grapevines has gained significant attention in the scientific community. Elicitation and enhancement of plant defence mechanisms have been described for grapevines and for other plants [90]. The generic description of plant immune responses has generalised the use of the term PAMP (Pathogen Associated Molecular Patterns), which precisely defines an elicitor to be a microbe- or plant-derived moleCULE GENERATED BY THE ENZYMATIC DEGRADATION OF PLANT COMPONENTS BY THE PATHOGEN itself (e.g., galacturonic acid and glucans) during the first step of infection [91]. Plant elicitors were first defined as compounds able to induce phytoalexin production but are also commonly recognised to induce oxidative processes such as the production of ROS (reactive oxygen species), papillae formation, lignification processes and expression of pathogenesis-related (PR) proteins [92]. In the grape, some common plant defence mechanisms against fungal infections have been described, including stilbenic phytoalexins production, which can be induced by biotic or abiotic stresses, such as UV irradiation [31]. Various molecules, such as laminarin [93], BABA [94], BcPG1 [95], cyclodextrin [96], PS3 (sulfated laminarin) [97], botrycin and cinerein extracted from B. cinerea [98], chitosan and fosetyl aluminium, have been shown to induce chitinase and glucanase activity and stilbenic phytoalexins synthesis and have provided a better understanding of these defence responses. Organic viticulture requires products to protect grapevines without the use of synthetic fungicides. Scientific research is thus necessary to evaluate the activities of new natural products as fungitoxic compounds or as elicitors to confer crop protection [99, 100]. A better knowledge of elicitation processes could contribute to a reduction in the application of fungicides. The synergistic application of priming molecules and fungicides under field conditions may allow for a reduction in the doses of fungicides required to control diseases [101]. Some plant extracts have been shown to possess direct antifungal properties against phytopathogenic fungi, while others could indirectly inhibit fungal development by eliciting endogenous mechanisms of defence against P. viticola [63]. Direct application of these extracts in the field is not suitable for an efficient evaluation of their efficacy. Recently, the efficacies and the modes of action of various fungicides and elicitors were evaluated on the basis of various markers of resistance to downy
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mildew developed, as previously described. These markers (rate of infection, quantification of sporulation, quantification of stilbenic phytoalexins and stomatal callose) were used on both single leaves and whole plants of susceptible Vitis vinifera varieties such as cvs. Chasselas, Pinot noir, Cabernet sauvignon or Gamay, which were pre-treated with aqueous suspensions of these products at different concentrations. The preliminary results showed that at least two natural plant extracts out of the 55 tested (root extract of the rhubarb Rheum palmatum and bark extract of the glossy buckthorn Frangula alnus) were effective. They induce, simultaneously, prolonged activation of defence mechanisms, particularly stimulation of the G-viniferin synthesis, and inhibition of pathogen development to a significant degree. Other treatments (e.g., application of extracts of Galla chinensis and pure gallic acid) induced a massive production of stilbenes for a short period time, but this was insufficient to inhibit the development of downy mildew at 48 h after treatment. Nevertheless, plant protection was ensured by the fungitoxic properties of the applied products. In contrast, copper and tannic acid treatments had fungitoxic effects but did not induce plant defence mechanisms. The ability of R. palmatum and F. alnus extracts to induce stilbenic phytoalexins production and peroxidase activity was clearly due to their anthraquinone content. Indeed, application of aqueous solutions of pure anthraquinones such as rhein, frangulin A, emodin, aloe-emodin, chrysophanol and physcion [102] had effects similar to those of the extracts. However, these plant extracts may also contain other compounds (such as glucans, pectins, lignins or tannins) that could elicit host defences. Stilbene production provides a reliable metric for the efficacy of elicitors and plant protection products against downy mildew. Since 2005, it has been applied in Agroscope-ACW collaborative projects in integrated pest management and organic and biodynamic viticulture. These experiments provide decisive information in advance of field-testing. Applications of crude plant extracts have potential for grapevine protection. However, a careful characterisation of the chemical composition of these natural extracts as well as the bioactivity of their individual constituents is necessary. Indeed, it is important to identify the molecules responsible for the induction of host defences, assess the safety of their use for wine production and verify their neutral ecological impact when used in large amounts in the field.
2.3
Analytical Tools and Metabolomic Methods for Identifying Stilbenes and Other Defence-Induced Compounds
As previously mentioned, stilbenes are phytoalexins produced naturally by several plants upon attack by pathogens such as bacteria or fungi. Because of their dynamic behaviour as responses to stress, their detection requires methods that can be used for monitoring their differential response in various phytopathologic situations. Various HPLC methods have been used for detection and quantification of stilbenes. Indeed, HPLC in gradient mode on reversed phase C18 columns provides a means to separate stilbenes directly in crude extracts without the need for derivatisation.
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Many extraction methods have been tested in conjunction with the direct use of HPLC for stilbene profiling [103]. Most of the qualitative or quantitative analytical studies were performed with HPLC and ultraviolet (UV), fluorescence (FD) or electrochemical (ECD) detection [104]. We have demonstrated that fluorimetric detection is much more sensitive than UV detection and that its specificity allows simple pre-purification of grape berries juice and/or direct injection of wines [42]. The fluorescent properties of stilbenes have also been used for their in vivo detection and local assessment in grapevine leaves [105]. As discussed below, HPLC coupled to mass spectrometry (LC-MS) provides an even more sensitive and selective method for the detection of these polyphenols [106]. In general, all of these analytical approaches have been used in a targeted manner and require the use of well-defined stilbene standards for identification and quantification. To obtain a deeper understanding of plant stress response phenomena at the level of production of phytoalexins, phytohormones and other stress-induced metabolites, non-targeted, holistic analytical approaches can be used. These studies are performed using ‘metabolomics’, which is defined as a universally applicable non-targeted analytical approach to identify and quantify the largest possible number of metabolites of a biological system. The complete set of primary and secondary metabolites of low molecular weight (MW < 1,000 Da) constitutes the ‘plant metaBOLOME 4HE SIZE OF THIS METABOLOME IS STILL UNKNOWN BUT IT IS ESTIMATED TO CONTAIN several thousand constituents [107]. Metabolomic profiling may actually provide the most ‘functional’ information of all of the ‘omics’ technologies [108]; it gives a broad view of the biochemical status of an organism that can be used to monitor significant metabolite variations. Indeed, because metabolites are the end products of the cellular regulatory processes, their levels can be regarded as the ultimate response of biological systems to genetic or environmental changes. Finally, this information can be used in conjunction with other systems biology approaches to assess gene function and provide a holistic view of a living system [109, 110]. Metabolomics, in contrast to ‘hypothesis-driven’ approaches for the study of plant stress responses, is a ‘data-driven’ approach that can generate new hypotheses in an unbiased manner. It has the potential to detect not only new stilbenes but also other related metabolites. To our knowledge, this type of approach has not yet been implemented to systematically search for stilbenes, but it has been successfully used to study other aspects of plant defence studies and in wine research.
2.3.1
Metabolomics of the Plant Stress Response
With the important developments in analytical methods and data mining that have occurred in recent years, metabolomics has rapidly evolved and provides a global picture of plant molecular organisation at the metabolite level. A very significant increase in studies related to plant metabolomics has been recorded over the last
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decade [111]. While this approach has been used for various biological systems in conjunction with other omics approaches (e.g., genomics, transcriptomics and proteomics), metabolomics has recently become a key approach for studying plant responses to stress phenomena [112] and plant-host interactions [113]. However, this analytical approach is still very challenging because there is no single extraction or analysis technique that is suitable for all low molecular weight metabolites [114]. Among the different techniques enlisted for metabolomic analysis are mass spectrometry (MS) and nuclear magnetic resonance (NMR); different advantages and disadvantages are associated with each analytical system. Chromatographic metabolite separation combined with detection by MS (GC-MS or LC-MS) constitutes a powerful means of generating multivariate metabolic data. In all cases, however, further development is required to achieve a complete quantitative survey of all metabolites over a significant dynamic range in a complex plant or fungal extract. Currently, two main complementary approaches are used for metabolomic investigations, metabolic profiling and metabolic fingerprinting. For the latter, the intention is not to identify each observed metabolite, but to compare patterns or “fingerprints” of metabolites that change in response to disease, toxin exposure, environmental changes or genetic alterations. On the other hand, metabolic profiling focuses on the analysis of a group of metabolites related to either a specific metabolic pathway or a class of compounds. When a putative biomarker cannot be directly matched in a database, a dedicated procedure (target analysis) can be performed for identification. Furthermore, target analysis can be used when accurate quantification is required. MS provides sensitive detection and the ability to identify metabolites based on MS or MS/MS spectra when libraries are available. MS can be used to profile extracts directly or in conjunction with HPLC (LC-MS). Because the MS response is compound dependent, absolute quantification in metabolic profiling studies is currently not feasible. NMR, on the other hand, is a non-destructive high throughput method that allows metabolite identification and quantification [115]. It is, however, significantly less sensitive than MS [114]. NMR is considered more reproducible than MS, especially in long-term studies where samples collected and analysed over different time period have to be compared. For short-term studies or for studies in which all of the samples can be analysed simultaneously, MS-based metabolomics represents a good alternative. It has been used in numerous plant stress response studies where the biomarkers of interest require a high sensitivity of detection. Today, the most powerful studies combine the advantages of MS and NMR spectroscopy [116].
2.3.2
Mass Spectrometry in Stilbene and Wine Research
Mass spectrometry continues to play a very important role in research and quality control in the viticulture and oenology fields, and its analytical power is useful for structural studies on aroma, polyphenolic compounds, health benefit, customer safety and other aspects of the winemaking process [117, 118]. LC-MS has been
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used to analyse many stilbenes. For example, a sensitive high throughput LC-MS/ MS method for quantification of trans- and cis-resveratrol in wine samples has been elaborated and was used for the analysis and comparison of the trans- and cis-resveratrol content of 20 different Romanian wine samples [119]. The detection limits for resveratrol by LC-MS were enhanced compared to LC-UV or LC-FD, even though this phytoalexin presents strong UV emission and fluorescence levels [120]. A new type of ionisation method, atmospheric pressure photoionisation (APPI), has been found to be superior to other, more routinely used conventional approaches, namely electrospray (ESI) [106]. MS enables reductions in the process of sample preparation from extracts. For example, online-coupled LC-MS turbulent-flow chromatography (TFC) makes it possible to directly analyse wine samples in order to determine their flavonoid and resveratrol content. A sample (diluted wine) volume of 10 mL can be passed over a TFC column prior to LC-MS analysis [121]. Direct infusion MS, which requires no prior separation or sample preparation, has also been demonstrated to be a valuable method for rapidly obtaining fingerprints of wine polyphenols in the differentiation of Beaujolais and Dornfelder selections and vintages by metabolomics [122]. Molecular weight information derived by MS, as well as fragmentation patterns obtained with by MS (MS/MS or MSn), can also supply important structural information for the identification of stilbenes. A detailed study of downy mildew-infected grapevine leaves by LC-MS has revealed more than 20 stilbenes that can be differentiated based on their MS and MS/MS spectra [106].
2.3.3
Nuclear Magnetic Resonance in Stilbene and Wine Research
Many NMR-based metabolomics studies on grapevine have been reported; however, they have mainly been used for the classification of wine products based on their polyphenolic composition. For example, NMR coupled with multivariate statistics has proved to be a suitable method for studying the effect of environmental vineyard conditions on the chemical composition of grapes and their wines [123] or for the differentiation of wines based on grape varieties [123]. A similar approach was used recently for studying the in vitro bioconversion of polyphenols from red wine and grape juice by human intestinal microbiota [124]. Recently, a NMR-based metabolomic studies related to stress responses in grapevines affected by the esca wood disease (a fungal community infection that leads to grapevine apoplexy) was published. In this work the metabolic changes in control versus diseased leaves were fingerprinted using 1D and 2D NMR. Principal component analysis (PCA) of the NMR spectra showed a clear separation between the groups, indicating a difference in compound production due to the esca disease. The study revealed a significant increase in phenolic compounds accompanied by a decrease in carbohydrates, suggesting that carbon and energy were rerouted from primary to secondary metabolism in the diseased leaves [125].
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NMR is also an invaluable tool for the de novo structure determination of stilbenes, and numerous papers have dealt with issues related to stilbene identification [126]. Recently, for example, it has been shown that the establishment of stilbene configuration, a challenging task, can be elegantly established based on 1H-NMR and the theoretical calculation of chemical shifts [127].
2.3.4
MS-Based Metabolomic Profiling of Stilbenes and Other Defence-Induced Compounds
In order to study variations in the metabolomes of wines and grapevines, AgroscopeACW, in collaboration with researchers at the University of Geneva, have developed a sensitive MS-based metabolomic approach for the detection of stress-induced biomarkers. The approach is based on the use of ultra high performance liquid chromatography coupled to time-of-flight mass spectrometry (UHPLC-TOF-MS) for a two-step analysis of crude plant extracts [128]. Among the different techniques enlisted for metabolome analysis, UHPLCTOF-MS represents a powerful platform indeed [123]. UHPLC compared to HPLC affords increases sample throughput for fast fingerprinting of biological matrices as well as important resolution enhancements (when used with long gradients) for detailed profiling and precise localisation of biomarkers [129]. On the other hand, time-of-flight mass spectrometry (TOF-MS) provides sensitive detection of a large number of plant metabolites. Due to its high resolution and high mass accuracy capabilities, TOF-MS provides molecular formula information on all detected compounds for dereplication or preliminary identification of the biomarker of interest [130]. Combination of these two methods gives very reproducible LC-MS datasets, a prerequisite for further data analysis of the high number of extract fingerprints typically recorded in metabolomics [123]. The metabolomics strategy used is based on the following steps: (i) high throughput metabolite fingerprinting involving rapid UPLC-TOF-MS gradients on numerous control and stressed samples for group discrimination and determination OF IONS MZ RESPONSIBLE FOR THE MAIN DIFFERENCES AFTER ADEQUATE DATA TREATMENT and (ii) high resolution metabolite profiling of selected pool samples on high peak capacity UHPLC columns after efficient gradient transfer for the localisation and deconvolution of the putative biomarkers. Biomarkers can then be identified by searching natural products in MS databases, comparison with standards (when available) or de novo structure identification [128, 130]. In the last case, a generic approach for the rapid isolation of unknown biomarkers has been developed [128]. It consists of (i) targeted LC-MS-triggered microfractionation of the biomarkers of interest at the semi-preparative level, based on computed LC conditions from UHPLC gradients, and (ii) complete structural determination of the unknown biomarkers based on at-line capillary LC-NMR (CapNMR) experiments. This last method has been shown to provide key structural information on natural products (1D and 2D NMR) at the low-microgram scale [130, 131]. In relation to plant defence, this strategy has already been proven efficient for the discovery of important new low-abundance
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stress-induced phytohormones belonging to the jasmonate family and for the study of their induction dynamics from a holistic perspective [128]. In our laboratory, the same technology has been used for the study of stress biomarker induction in two wood-decaying fungi involved in esca disease (Eutypa lata and Botryosphaeria obtusa). Differential UHPLC-TOF-MS profiling from extracts of these fungi co-cultivated in Petri dishes was performed. Comparison of the high-resolution metabolite profiles showed a strong induction of many stressINDUCED FUNGAL METABOLITES MYCOALEXINS IN THE CONFRONTATION ZONES BETWEEN THE pure fungal strains. Microisolation and further CapNMR measurements enabled their de novo characterisation as O-methylmellein derivatives. The same microfractionation procedure also provided enough material to assay the fungitoxic and phytotoxic activities of the compounds that were induced as a result of the confrontation [123]. Our global sequential metabolomic approach [128] was recently applied to the study of stress-induced metabolites in the resistant grapevine cultivar selected in ACW (2091). To obtain preliminary results on the largest possible set of stressinduced compounds that can be produced in this variety, UV-C irradiation (Philips TUV 30 W, 92 PW cm−2, 253 nm, distance: 13 cm from leaves) was applied. This type of abiotic stress has been shown (in our earlier experiments) to elicit a large range of altered constituents that are characteristic of either natural abiotic or biotic stresses [79]. This study is illustrated in detail in Fig. 2.4. For a rapid estimation of the metabolome changes, 5 leaves of the resistant 2091 cultivar [Gamaret x Bronner] selected in ACW were used as controls, and 5 leaves were exposed to UV light for 10 min. Each fresh leaf sample (300 mg) was crushed in liquid nitrogen and extracted independently with methanol (3 mL) in an ultrasonic bath for 20 min. After a rapid SPE C18 enrichment procedure, the crude extracts (1 Pg) were directly analysed by UHPLC-TOF-MS in both positive and negative ion modes using a rapid gradient (5 min per analysis) and a short UHPLC column (1 × 50 mm). The results presented here are those derived from the negative ion LC-MS datasets, which were the most informative. In the fingerprints obtained (Fig. 2.4a), all metabolites eluted in the first MIN OF ELUTION 4HE ION MAPS GENERATED MZ IONS RECORDED AS A FUNCTION OF GRADIENT time) indicated induction of different ions after UV stress (indicated in dashed ring and square on Fig. 2.4a). These ion maps clearly demonstrate the power of mass spectrometry for such a rapid fingerprinting procedure. As shown, if a complete resolution of the constituents of the extract cannot be obtained in 3 min of elution by UHPLC (see the short gradient total ion chromatogram insets in the ion maps in Fig. 2.4a), TOF-MS detection can provide good resolution in the second dimension for most of the metabolites present. This UHPLC-TOF-MS fingerprinting enabled the analysis of numerous replicates in various time series in a high throughput and reproducible manner. For a good estimation of all observed variation in the metabolomes, the LC-MS datasets obtained were submitted to multivariate data analysis (MVDA). Because the combination of UHPLC separation and MS detection produces large sets of three-dimensional information (retention time × m/z × intensity), preprocessing of the data prior to MVDA was required. In a first step, noise filtering, peak detection and matching were concomitantly performed. The final data table
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UHPLC-TOF-MS fingerprinting Control leaves
UV leaves 2D map
900
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500
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m/z
m/z
2D map
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Data mining
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227.07
1.55
0.239
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0.225
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0.217
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0.205
UHPLC-TOF-MS profiling Control leaves
UV leaves
OH
Resveratrol ([M-H]- C14H11O3)
HO
Trace at 227.07
OH
Biomarker identification Accurate mass Identification Mass Calc. Mass PPM Formula 227.0714 227.0708 62. C14 H11 O3 227.0681 227.0668
14.5 20.3
C10 H7 N6 O C9 H11 N2 O5
Fig. 2.4 Summary of the all steps required for performing a comprehensive MS-based metabolomic study of the effect of UV stress induction on the leaves of a resistant 2091 cultivar. (a) Fingerprinting in the form of total ion chromatogram (TIC) and ion maps performed on a short (5 min) UHPLC gradient; (b) Principal component analysis (PCA) and loading plots of the PCA with ranking of the ions responsible for the metabolome differences (c) Profiling using high resolution UHPLC with a long (65 min) gradient (d "IOMARKER IDENTIlCATION BASED ON THE FORMULA EXTRACTED FROM THE MEASURED MZ
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included values for retention time and positive or negative m/z data pairs as labels. MVDA was used to produce interpretable projections of samples in a reduced dimensionality (score plots) (Fig. 2.4b) and highlight putative biomarkers responsible for the group separation (loading plots). In the example shown, principal components analysis (PCA), a common chemometric tool [130], was used. As a first approach, PCA provided an unsupervised data reduction without using class information. Samples were compared to assess metabolite level modifications occurring after UV stress. As presented in Fig. 2.4b, controls were clearly distinguished from UV-irradiated leaves on the PCA scatter plot (PC1 vs. PC2). In this case, the differences are clear, but in cases where subtler metabolome modifications occur, other data treatments are needed. In such cases, supervised methods in which class information is given to the model or machine learning algorithms may be necessary [130]. To identify the biomarkers responsible for the differences between UV and control leaves, the loading plots from the PCA were displayed in the form of a list of significantly induced ions. The ranking is based on the PC1 score, which explains about 50% of the total variance. The ions displayed at the top of this list are thus those responsible for the main metabolomic differences between the two groups differentiated in the PCA. Based on these results and after gradient transfer to a long UHPLC column, detailed profiling was performed on pooled samples from each group (Fig. 2.4c). Here, striking differences were noted. The use of the loading plot from the fingerprinting results was used to localise and identify the biomarkers related to UV stress. As shown in the loading plot (Fig. 2.4), ion m/z 227.071 ([M-H]− ion in the NI mode), with an associated molecular formula of C14H11O3 (Fig. 2.4d), was the most significant altered ion. Based on this information, it was easily identified as resveratrol. The extraction of its selective ion trace (m/z 227) in the high-resolution profiling chromatogram shows its localisation and confirms its strong induction. The identification of resveratrol is of course not new, but this result shows that an unsupervised metabolomic approach can confirm results obtained by targeted approaches. The advantage of metabolomics is that, in addition to resveratrol, all other ions with a significant PCA score are likely to be relevant to stress in this biological system. Thus, interesting biomarkers that are difficult to detect using other methods have a good chance of being discovered using this approach. This last example demonstrates the potential of metabolomics for the discovery of new type of stilbenes or other phytoalexins produced in response to biotic or abiotic stresses.
2.4
Stilbenes in Wines Derived from Resistant Grape Varieties
Because of their antioxidant activities, levels of stilbenes, especially resveratrol, have been quantified in all type of wines produced worldwide. As mentioned previously, these quantifications can even be achieved by direct use of wine in HPLC [132].
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The levels of stilbenes are linked to various parameters, especially to oenological parameters such as the vinification process. According to the literature, the transresveratrol content in red wines does not exceed 7 mg/L [133]. We have undertaken analysis of a wide panel of 240 wines from more than 50 different grape varieties vinified according to the same vinification process. Results have shown that cultivars selected according to their resistance towards Botrytis cinerea (such as Vitis vinifera cvs. Gamaret, Galotta or Mara) or Plasmopara viticola (such as IRAC 2091 [Gamaret x Bronner]), as well as traditional grape varieties (e.g., V. vinifera cvs. Rebo, Ancelotta and Cabernet mitos) contain more than 16, 14 and 11 mg/L of trans-resveratrol, respectively. However, these concentrations vary according to the region of production, but to a smaller extent.
2.4.1
Health and Stilbenes
Berry fruits are known to be a rich source of antioxidants [134]. Grapes in particular contain a wide variety of phenolic compounds including phenolic acids, tannins, flavonoids and stilbenes. Among them, the health benefits of resveratrol have been well known for centuries in Japanese and Chinese traditional medicine; the form of resveratrol isolated from roots of Polygonum cuspidatum [135] has been used in the treatment of cardiac and inflammatory diseases and lipid disorders. Indeed, there has been increased interest in this compound and its derivates since Siemann and Creasy [43] found them in wines, and this study was followed by the works of Renaud and de Lorgeril [44] as well as Frankel et al. [136], who found the lowest incidence of coronary heart diseases in people on a high-fat diet including moderate red wine consumption. This theory is known as the ‘French Paradox’ and correlates the efficiency of resveratrol and its effects as a cardiovascular protector. This strong interest in resveratrol has resulted in an increase in studies quantifying its expression in wine and grapes worldwide [42, 47–50]. Extensive epidemiological studies concerning the potential benefits of natural antioxidants derived from fruits and vegetables to human health have been carried out [137–143] because of the societal burden of diseases emerging in developed countries (such as cardiovascular disease, cancer, rheumatoid arthritis, lung diseases, 0ARKINSONS !LZHEIMERS AND DIABETES DUE TO LIFESTYLE AND DIETARY HABITS )N THIS respect, grape-derived phenolic compounds have been shown to possess several health benefits and play an important role in the inhibition of cardiovascular diseases, diabetes, neurodegenerative disease and ageing [144–146]. Initially, the reduced risk of cardiovascular disease was attributed to the wine’s ethanol content [147, 148], but the benefits of wine appear to be greater than that of other alcoholic beverages [149–151]. Resveratrol levels in wine are especially dependent on the grape variety, climate, level of UV exposure, ripeness, harvest time and oenological practices [133, 146]. The cardioprotective effects of resveratrol are partly related to its antioxidant activity; resveratrol participates in the scavenging of reactive oxygen species (ROS)
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and the attenuation of peroxyl radical and hydrogen peroxide formation [152, 153]. This antioxidant activity inhibits lipid peroxidation [136, 154, 155], vasoconstriction [156–159] and platelet aggregation [158, 160–162], thus delaying the onset and progression of the atherogenic process. Recently Wong et al. [163] showed that resveratrol increases flow-mediated dilatation (FMD) of the branchial artery, a biomarker of endothelial function, and therefore improves blood pressure as well. Inflammation is also a significant factor in all stages of atherosclerosis [164, 165], and resveratrol inhibits the activity of the cyclooxygenase-2 and the lypoxygenase pathways, which are involved in the synthesis of pro-inflammatory mediators [166, 167]. Rius [168] also demonstrated resveratrol’s ability to interfere with the synthesis of several inflammatory molecules. Moreover, it has been shown that resveratrol modulates glucose uptake, a very important process for diabetes and fat metabolism [169–172]. Resveratrol also seems to act as a putative cancer chemopreventive agent acting at various stages of carcinogenesis, known as initiation, promotion and progression [173]. Jang et al. [174= AND *ANG AND 0EZZUTO [175, 176] found that resveratrol inhibits several cellular processes associated with each stage of carcinogenesis. Pterostilbene, which is also found in extracts of Pterocarpus marsupium [177–179], has many of the same characteristics as resveratrol [180, 181]. In fact, like resveratrol, it possesses antioxidant, anti-inflammatory, anti-diabetic and chemopreventive properties [180, 182–188], but it has a relatively higher bioavailability because it is not as quickly glucuronidated and sulphated as resveratrol [181, 187]. Resveratrol and stilbenes are not the only wine polyphenols suggested to be responsible for the beneficial effects of moderate wine consumption. Anthocyanidins and tannins have also been reported to play an important role in the inhibition of malondialdehyde formation in the stomach [189] and in vasodilatation [190]. Nonetheless, despite all of the health benefits attributed to the polyphenols present in grapes, a controversy exists concerning their absorption and clearance processes [191, 192]. Moreover, most of the studies mentioned were performed in vitro and in animal models. Thus, further studies are needed to establish the real effect of wine polyphenols in humans before positive health claims can be definitively shown to be true.
2.5
Conclusions
Since Langcake identified stilbenic phytoalexins in the Vitaceae family in 1976, other types of molecules, such as pathogenesis-related (PR) proteins, have been DESCRIBED AS ENZYMES PRESENT ON HOST CELL WALLS THAT CAN EFlCIENTLY DEGRADE FUNGI However, these proteins probably play a secondary role in resistance. Many years of pioneering research on grape stilbenes at Agroscope-ACW and other research institutes have demonstrated that some of these molecules, such as viniferins and pterostilbene, are at the centre of grapevine mechanisms of defence against fungal pathogens. Very good spatial correlations were found between the synthesis of these
2
Stilbenes: Biomarkers of Grapevine Resistance to Disease…
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compounds and the sites of infection in grapevine leaves and berries. The higher their concentration is, the higher the level of pathogen resistance of cultivars issued from our breeding programmes. The method of screening new grape plantlets for their natural resistance, which uses artificial inoculation and micro-analysis of stilbenes, is a very efficient tool for identifying and breeding grapevines that are resistant to fungal diseases. Experiments aiming to characterise new stilbenic phytoalexins or stilbenic constitutive compounds that may be implicated in grape host defences using MS-based metabolomics (UHPLC-TOF-MS) are underway. The hope is to better understand the induction and biochemical synthesis of grape stilbenes and also to improve the actual breeding tools, both of which will prove very useful for the selection of new grape varieties with disease resistance and good organoleptic properties. As this has been discussed, stilbenes and resveratrol play a key role in plant defence and are also of interest to human health. The fine-tuning of stilbenic phytoalexins production by Vitaceae is necessary for the proper response to pathogen infection. A good understanding of the molecular mechanisms that regulate this response is important for improving the resistance of grapevine cultivars. With the knowledge acquired over the years, patterns of stilbenes production are on their way to becoming good diagnostic and predictive tools for both grapevine cultivar selection and defence priming optimisation. All of these scientific advances should provide ways to produce wine with optimal oenologic characteristics in a sustainable manner.
References 1. Hajdu Z, Varga E, Hohmann J, Kalman A, Argay G, Gunther G (1998) A stilbene from the ROOTS OF ,EUZEA CARTHAMOIDES * .AT 0ROD n +AWAZOE + 3HIMOGAI . 4AKAISHI 9 2AO +3 )MAKURA 9 &OUR