Course: Hot Topics in Stress Tolerance, Phenomics, Epigenetics and Genomics

Curso Sociedad Argentina de Fisiología Vegetal (SAFV)

From 7 to 9 March 2016

Inscription: until 15th February 2016

Email: htopics16@gmail.com

Schedule: From 7 to 9 March 2016
The course will be held at the INBIOTEC-CONICET and FIBA Institute, Vieytes 3103, 7600, Mar del Plata, Buenos Aires, Argentina. Classes will 8 hours per day (from 8.30 to 18.30 h) with a total of 24h.

Invited professors:

Douglas R. Cook
Professor in the Department of Plant Pathology at the University of California-Davis (USA). Director of the Feed the Future Innovation Lab for Climate Resilient Chickpea.

Phil Mullineaux
Professor in the Plant Productivity group at the University of Essex (UK).

Martin Crespi
Professor at the University Paris XI (France). Head of Institute of Plant Sciences Paris-Saclay IPS2.

Jorge Tognetti – Luis Aguirrezabal
Professor in the Laboratory of Plant Physiology at the Faculty of Agronomy, University of Mar del Plata, Argentina.

Participants
40 participants (maximum)

Contents

1.Stress in higher plants: concepts and definitions. Parallels with stress in Physics. Concepts of escape, resistance, avoidance and tolerance. Plant acclimation and adaptation. Stress perception in higher plants. Light environment and redox imbalance; sensing of water availability; temperature and the role of plasma membrane. Intracellular signalling. Stress-response genes and post-translational modifications. Thresholds for the induction of the defense responses. Local and systemic responses: role of plant hormones, sucrose and other sugars as signaling molecules. Stress response networks: cross-talk between signaling pathways. Meristems as a target of intercellular signaling. Costs of acclimation responses during stress, and following stress relief.

2.Novel regulatory genes that control acclimation of mature source leaves to a high light environment: Are they key determinants of plant productivity? The early signalling responses of plants to high light. Chlorophyll fluorescence imaging. The roles of BBX32, HY5 and a secret gene in controlling dynamic acclimation to sustained increases in light intensity. Meaning for soybean grown in the field?

3.The role of hydrogen peroxide in driving early signalling responses to high light. New technologies. The use of genetic probes for the detection of hydrogen peroxide and other compounds in plants in vivo, in real time and spatially. The dynamics of hydrogen peroxide for signalling between chloroplasts and the nucleus. The Mehler Reaction.

4.The role of Heat Shock Transcription Factors in the deal between growing and defense. The heat shock gene families in higher plants compared with other eukaryote and their diversity of functions. Genome wide binding of HSFA1b reveals novel developmental genes that are controlled by diverse environmental signalling systems. Laboratory and field-based studies to really understand growth responses to stress.

5.Phenomics. Phenome, PhenoTyping. Definitions. High troughput automated phenotyping as the botleneck for breeding new varieties in the context of global change. Other applications. Traits, sensors and platforms. The role of classic ecophysiology in Phenomics. The role of metaphenomics. Sensors. Brief description of physical basis. Overview of current platforms. Data analysis. Current limitations for widening the access of medium and high throughput phenotyping at a global scale. Most promising perspectives.

6.Epigenetics. Environmental impact on genome expression/non-coding RNAs (small and long). Epigenetic regulation and epigenomics. Root developmental plasticity. Alternative splicing and non-coding RNAs. Role of miRNAs in root architecture. Legume symbiosis and non-coding RNAs
7.Genomics of natural systems. Consequences of the increasing throughput and decreasing costs of genome analyses: a merger between the traditionally separate fields of genomics/molecular biology and ecology/population genetics. Use of genomics and computational methods, in conjunction with ecological studies and phenotyping, to infer gene function using the logic of association genetics.
8.Genomics of the plant micro biome. Metagenomics of microbial communities. Structure and function of plant-associated microbial communities. Review of underlying analytical methods.

 

More information

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