Couée Plant Abiotic Stress Signaling

Erscheinungsjahr 2023
ISBN: 978-1-0716-3044-0
Verlag: Springer US
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, Band 2642, 459 Seiten, eBook

Reihe: Methods in Molecular Biology

This volume provides conceptual strategies and methodological know-how over a wide range of stress situations that can be used as stepping stones to unravel the intricacies of abiotic stress signaling networks in plants. Chapters guide readers through achievements and challenges in the field and through up-to-date protocols covering identification of novel processes, validation of hypothetical mechanisms, and further characterization of currently-known pathways. Written in the format of the highly successful Methods in Molecular Biology series, wet-lab chapters include an introduction to the topic, lists necessary materials and methods, includes tips on troubleshooting and known pitfalls, and step-by-step, readily reproducible protocols.  Authoritative and cutting-edge, Plant Abiotic Stress Signaling aims to be a comprehensive and innovative guide for students and researchers seeking to understand plant molecular mechanisms at the interface with environmental constraints and climate change.

Zielgruppe

Professional/practitioner

Autoren/Hrsg.

Couée, Ivan

Inhaltsverzeichnis

Interplay of Methodology and Conceptualization in Plant Abiotic Stress Signaling.- Complexity of Abiotic Stress Stimuli: Mimicking Hypoxic Conditions Experimentally on the Basis of Naturally Occurring Environments.- Iron Availability and Homeostasis in Plants: a Review of Responses, Adaptive Mechanisms and Signaling.- Method for Calcium Live Imaging at Multi-Scales from Cellular to Organ Level in Arabidopsis thaliana.-  Functions of NO and H 2 S Signal Molecules against Plant Abiotic Stress.- Review of Lipid Biomarkers and Signals of Photooxidative Stress in Plants.- The Plant Metabolic Changes and the Physiological and Signalling Functions in the Responses to Abiotic Stress.-  15 N-labelling of Leaves Combined with GC-MS Analysis as a Tool for Monitoring the Dynamics of Nitrogen Incorporation into Amino Acids.- Computational Metabolomics to Elucidate Molecular Signalling and Regulatory Mechanisms Associated with Biostimulant-Mediated Growth Promotion and Abiotic Stress Tolerance in Crop Plants.- Electrical Signaling and its Functions under Conditions of Abiotic Stress: a Review of Methodological Approaches and Physiological Implications.- Quantitative measurements of biochemical and molecular markers of oxidative stress signaling and responses.- Fast identification of in vivo protein phosphorylation events using transient expression in leaf mesophyll protoplasts and Phos-tag TM SDS-PAGE.- Analysis of Plant L-Cysteine Desulfhydrase (LCD) Isozymes by Non-Denaturing Polyacrylamide Gel Electrophoresis.- Metabolite-Based Genome-Wide Association Studies of Large-Scale Metabolome Analysis to Illustrate Alterations in the Metabolite Landscape of Plants upon Responses to Stresses.- Deciphering Macromolecular Interactions Involved in Abiotic Stress Signaling: a Review of Bioinformatics Analysis.- Multi-Omics Data Integration in the Context of Plant Abiotic Stress Signaling.- Protein-Protein Interactions in Abiotic Stress Signaling: an Overview of Biochemical and Biophysical Methods of Characterization.- Beyond the Primary Structure of Nucleic Acids: Potential Roles of Epigenetics and Noncanonical Structures in the Regulations of Plant Growth and Stress Responses.- Laser microdissection: A High-Precision Approach to Isolate Specific Cell Types from Any Plant Species for Downstream Molecular Analyses.- An Experimental Rhizobox System for the Integrative Analysis of Root Development and Abiotic Stress Responses under Water Deficit Conditions.- Live Whole-Plant Detection of Rapidly Accumulating Reactive Oxygen Species Following Applied Stress in Arabidopsis thaliana.-  Analysis of Small Non-Coding RNAs as Signaling Intermediates of Environmentally-Integrated Responses to Abiotic Stress.- Perspectives in Plant Abiotic Stress Signaling.