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European journal of forest research
European journal of forest research
Pubbl/distr/stampa Heidelberg, Germany, : Springer-Verlag Heidelberg
Disciplina 634.9072
Soggetto topico Forests and forestry - Research
Foresterie
Soggetto genere / forma Periodicals.
Soggetto non controllato Forestry
ISSN 1612-4677
Formato Materiale a stampa
Livello bibliografico Periodico
Lingua di pubblicazione eng
Altri titoli varianti Forest research
Record Nr. UNISA-996215278003316
Heidelberg, Germany, : Springer-Verlag Heidelberg
Materiale a stampa
Lo trovi qui: Univ. di Salerno
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European journal of forest research
European journal of forest research
Pubbl/distr/stampa Heidelberg, Germany, : Springer-Verlag Heidelberg
Disciplina 634.9072
Soggetto topico Forests and forestry - Research
Foresterie
Boscos
Soggetto genere / forma Periodicals.
Revistes electròniques.
ISSN 1612-4677
Formato Materiale a stampa
Livello bibliografico Periodico
Lingua di pubblicazione eng
Altri titoli varianti Forest research
Record Nr. UNINA-9910142936503321
Heidelberg, Germany, : Springer-Verlag Heidelberg
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Monitoring Forest Damage with Mass Spectrometry-Based Metabolomics Methods / / edited by Carla Antonio, Dominic M. Desiderio, and Joseph A. Loo
Monitoring Forest Damage with Mass Spectrometry-Based Metabolomics Methods / / edited by Carla Antonio, Dominic M. Desiderio, and Joseph A. Loo
Edizione [First edition.]
Pubbl/distr/stampa Hoboken, New Jersey : , : John Wiley & Sons, Inc., , [2024]
Descrizione fisica 1 online resource (467 pages)
Disciplina 634.9072
Collana Wiley Series on Mass Spectrometry Series
Soggetto topico Forests and forestry - Research
Metabolites
Mass spectrometry
ISBN 1-119-86875-0
1-119-86873-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Cover -- Title Page -- Copyright -- Contents -- List of Contributors -- Preface -- Chapter 1 Forest Tree Metabolomics Under a Changing Climate -- 1.1 Introduction -- 1.2 Forest Damage -- 1.2.1 Abiotic Forest Damage -- 1.2.2 Biotic Forest Damage -- 1.3 Forest Tree Metabolomics -- 1.4 Conclusion and Future Perspectives -- References -- Chapter 2 Experimental Methodology for Clonal Forest Research -- 2.1 Introduction -- 2.2 Defining the Objectives of an Experiment -- 2.3 Sampling Strategies to Represent the Species -- 2.4 Planning and Establishing the Experimental Design -- 2.5 Examples of the Implementation of Field Trials to Quantify Genetic Variability within a Species -- 2.5.1 Pinus pinea L. in Portugal -- 2.5.2 Pinus pinaster Aiton in Portugal -- 2.6 Statistical Analysis and Quantification of Genetic Variability within a Species -- 2.6.1 Statistical Analysis -- 2.6.2 Genetic Parameters -- 2.6.2.1 Quantification of Genetic Variability within a Species -- 2.6.2.2 Broad‐Sense Heritability -- 2.6.2.3 Selection and Genetic Gain -- 2.7 Conclusions -- Acknowledgments -- References -- Chapter 3 Sample Preparation for Forest Tree Metabolomics -- 3.1 Experimental Design for Metabolomics -- 3.2 Sampling and Quenching of Tree Tissue Material -- 3.2.1 Leaf Sampling -- 3.2.2 Wood Tissue Sampling -- 3.2.3 Phloem Sap Sampling -- 3.2.4 Xylem Sap Sampling -- 3.2.5 Root Sampling -- 3.2.6 Techniques for Separating Cell Types in Complex Tissues -- 3.2.6.1 Laser‐assisted Microdissection -- 3.2.6.2 Fluorescence‐activated Cell Sorting -- 3.2.7 Measuring Metabolites Without Cell or Tissue Separation -- 3.3 Labeling of Tree Tissues -- 3.3.1 C‐labeling -- 3.3.1.1 Labeling of Whole Trees -- 3.3.1.2 Labeling of Tree Tissues -- 3.3.2 N‐labeling -- 3.3.2.1 Labeling Through the Canopy of Whole Trees -- 3.3.2.2 Labeling Through Roots of Whole Trees -- 3.3.2.3 Stem Injection.
3.3.3 Dual Labeling of C and N -- 3.4 Metabolite Extraction and Mass Spectrometry‐Based Metabolite Analysis -- 3.4.1 Untargeted and Targeted Metabolomics -- 3.4.2 Chemical Derivatization Methods -- 3.5 Conclusions -- References -- Chapter 4 Systems Biology as a Tool to Uncover Interdisciplinary Links within the Complex Forest Tree System -- 4.1 Systems Biology -- 4.2 Strategies for Data Integration and Network Analysis -- 4.2.1 Element‐Based Integration -- 4.2.2 Pathway‐Based Integration -- 4.2.3 Mathematical Integration -- 4.2.4 Integration of Transcriptomics and Metabolomics Data -- 4.2.5 Integration of Proteomics and Metabolomics Data -- 4.2.6 Integration of Multi‐omics Data -- 4.3 Integration of Genomics and Metabolomics Data -- 4.3.1 Linkage Analysis -- 4.3.2 Genome‐wide Association Studies -- 4.3.3 Genomic Selection -- 4.4 Systems Biology to Provide Clues for Metabolite Annotation in Different Tree Species in Recent Years -- 4.5 Challenges in Integrating Metabolomics and Other Omics -- 4.6 Conclusion and Future Perspectives -- References -- Chapter 5 A Workflow for Metabolomics of Forest Tree Biotic Stress Response and Applications for Management -- 5.1 Introduction -- 5.2 Methods -- 5.2.1 Research Question -- 5.2.2 Sample Selection and Processing -- 5.2.3 Analytical Methods -- 5.2.4 Chemometrics -- 5.2.5 Pre‐processing -- 5.2.6 Classification -- 5.2.7 Regression -- 5.2.8 Variable Selection -- 5.2.9 Validation -- 5.2.10 Available Tools for Analyzing Metabolomics Data -- 5.3 Application -- 5.3.1 Detection of Diseased and Pest‐Infected Trees -- 5.3.2 Identifying Resistant Trees -- 5.3.3 Landscape‐Level Applications -- 5.4 Case Studies -- 5.4.1 Ash -- 5.4.2 Oak -- 5.4.3 Pine -- 5.5 Conclusions and Future Perspectives -- Acknowledgments -- References -- Chapter 6 Analysis of Volatile Organic Compounds -- 6.1 Plant Volatile Organic Compounds.
6.1.1 Ecological and Physiological Functions of Plant VOCs -- 6.1.1.1 VOCs and Biotic Stresses -- 6.1.1.2 VOCs and Abiotic Stresses -- 6.1.2 Controls of Plant VOC Emissions -- 6.1.2.1 Constitutive VOC Emissions -- 6.1.2.2 Stress‐Induced VOC Emissions -- 6.2 Methodologies for Detecting Plant VOCs -- 6.2.1 Static Headspace Analysis -- 6.2.2 Dynamic Headspace Analysis -- 6.2.3 Eddy Covariance -- 6.3 Analytical Systems for Measuring Plant VOCs -- 6.3.1 Thermal Desorption Gas Chromatography Mass Spectrometry -- 6.3.1.1 Sample Collection -- 6.3.1.2 TD-GC-MS Measurements -- 6.3.1.3 Qualitative Analysis -- 6.3.1.4 Blank Measurements -- 6.3.1.5 Internal Standard -- 6.3.1.6 Quantitative Analysis -- 6.3.1.7 Deconvolution -- 6.3.1.8 Applications of TD-GC-MS in Plant VOC Analysis -- 6.3.2 Proton Transfer Reaction Mass Spectrometry -- 6.3.2.1 General Principles and Analytical Instrument Development -- 6.3.2.2 Quantification of VOC Concentrations: Direct Calibration and Theoretical Calculation -- 6.3.2.3 Application of PTR-MS in Plant VOCs Analysis -- 6.3.2.4 Computational Approaches to Analyze PTR-MS Data -- 6.4 Concluding Remarks and Future Perspectives -- References -- Chapter 7 Assessing Specialized Metabolites in Tree Bark Using Wide‐Targeted LC-MS Analysis -- 7.1 Introduction -- 7.2 Materials and Methods -- 7.2.1 Plant Cultivation and Sampling -- 7.2.2 Sample Aliquoting -- 7.2.3 Extraction of Specialized Metabolites from Tree Bark Tissue -- 7.2.4 LC-MS Analysis of Polar Fractions -- 7.3 Data Analysis -- 7.3.1 Peak Evaluation -- 7.3.2 Peak Annotation -- 7.3.2.1 Tandem Mass Spectrometry (MS/MS, MSn) -- 7.3.2.2 Reference Plant Compounds and Extracts with Literature Data -- 7.3.2.3 Database Search -- 7.3.2.4 Mutant Analysis -- 7.3.2.5 Peak Annotation by the Prediction of Pathway -- 7.4 Data Interpretation -- 7.5 Conclusions and Future Perspectives -- References.
Chapter 8 Plant Hormone Analysis in Forest Tree Species -- 8.1 Importance of Forest Tree Species -- 8.2 Plant Hormones and Their Roles in Plant Physiology, Biochemistry, and Development -- 8.2.1 Main Plant Hormones Involved in the Interaction of Plants with Their Environment -- 8.3 Forest Tree Sampling -- 8.3.1 Issues Related to Forest Tree Population Structure and Distribution -- 8.3.2 Practical Aspects Related to Forest Tree Tissue Harvesting and Preservation -- 8.3.3 Important Considerations Regarding the Extraction of Plant Hormones -- 8.4 Analytical Methods for Plant Hormone Analysis and Profiling -- 8.5 Applications of Plant Hormone Profiling to Understand Forest Tree Physiology -- 8.6 Future Prospects in Plant Hormone Analysis -- Acknowledgments -- References -- Chapter 9 Metabolomics of Nutrient‐Deprived Forest Trees -- 9.1 Introduction -- 9.2 Macronutrient Deficiency and Wood Production -- 9.2.1 Nitrogen -- 9.2.2 Phosphorus -- 9.2.3 Potassium -- 9.2.4 Calcium -- 9.2.5 Sulphur -- 9.2.6 Magnesium -- 9.2.7 Micronutrients -- 9.3 General Use of Mass Spectrometry‐Based Metabolomics to Study Wood -- 9.4 Tree Nutrition and Metabolome -- 9.4.1 Nitrogen -- 9.4.2 Phosphorus -- 9.4.3 Potassium -- 9.4.4 Mycorrhization -- 9.5 Final Remarks -- Acknowledgments -- References -- Chapter 10 The Impact of Drought on Plant Metabolism in Quercus Species - From Initial Response to Recovery -- 10.1 Introduction -- 10.2 Primary Metabolic Pathways and Metabolite Levels -- 10.2.1 Changes in Leaf Metabolism with Drought Stress Intensity -- 10.2.2 Variation Among Organs - Mobilization of Carbohydrates as a Mechanism of Drought Acclimation -- 10.3 Secondary Metabolic Pathways and Metabolite Levels -- 10.4 The Transport of Metabolites within the Plant - Transport Rates and Sap Composition -- 10.5 The Release of Metabolites Outside the Plant -- 10.5.1 Root Exudates.
10.5.2 Volatile Organic Compounds -- 10.6 Conclusions -- References -- Further Reading/Resources -- Chapter 11 Metabolomics of Forest Tree Responses to Fluctuations of Temperature and Elevated Atmospheric CO2 -- 11.1 Introduction -- 11.2 Metabolic Response of Trees to Temperature Changes -- 11.3 Temperature Effect on Primary Metabolism -- 11.3.1 Carbohydrates and Photosynthesis -- 11.3.2 Respiratory Metabolism -- 11.3.3 Amino Acids and Proteins -- 11.4 Temperature Effect on Secondary Metabolism -- 11.4.1 Oxidative Stress -- 11.4.2 Phenylpropanoid Pathway -- 11.4.3 Lignin and Cell Wall -- 11.4.4 Disease Response to Abiotic (Heat) Stress -- 11.5 Effects of Elevated CO2 on Tree Metabolism -- 11.5.1 CO2 Fixation in Plants and Climate Predictions about Atmospheric CO2 -- 11.5.2 Elevated CO2 and Plant Metabolism -- 11.5.3 Elevated CO2 and Tree Metabolism -- 11.6 CO2 Effects on Isoprene Emissions -- 11.7 CO2 and Plant Productivity -- 11.8 Acclimation After a Long Period of CO2 Exposure -- 11.9 The Interactive Effect of Elevated CO2 and High Temperature in Trees -- 11.10 Conclusions and Future Perspectives -- Acknowledgments -- References -- Chapter 12 Integration of Primary Metabolism with Physiological and Anatomical Data to Assess Dutch Elm Disease Susceptibility in Three Elm Species - A Case Study -- 12.1 Impacts of Dutch Elm Disease on Plant Metabolism and Its Modulation by Climate -- 12.2 Material and Methods -- 12.2.1 Plant Material and Experimental Design -- 12.2.2 O. novo‐ulmi Inoculation -- 12.2.3 Measurements -- 12.2.3.1 Stomatal Conductance -- 12.2.3.2 Crown Wilting -- 12.2.3.3 Primary Metabolites -- 12.2.3.4 Xylem Anatomy -- 12.2.4 Data Analysis -- 12.3 Results -- 12.3.1 Drought Effects on Stomatal Conductance, Xylem Anatomy, and Primary Metabolism -- 12.3.2 Impact of O. novo‐ulmi on Crown Wilting, Xylem Anatomy, and Primary Metabolism.
12.4 Discussion.
Record Nr. UNINA-9910830531103321
Hoboken, New Jersey : , : John Wiley & Sons, Inc., , [2024]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui