Developmental and Cell Biology of Plants
Prof. Mgr. Jiří Friml, PhD, Dr.
THEMATIC RESEARCH FOCUS
Plants as sessile organisms must adapt to ever changing environmental conditions. The adaptations to environmental cues are essential for plant survival and consequently for crop productivity. The adaptation processes rely on sensing and transduction of environmental signals, integration of various forms of signals and determination of the final response. Plant hormones are implicated in various aspects of regulation of plant development, growth and responses to environmental cues. Our work is focused on systematic analysis of environmental and hormonal signaling in regulating plant growth and development, as well as adaptation to environmental cues.
We focus on how different environmental and endogenous signals are integrated into the subcellular dynamics and polar localisation of transporters for plant hormone auxin. We expect to get a deeper knowledge on plasticity of plant responses to environmental cues.
1. Plant hormonal signalling for regulation of cell polarity and subcellular dynamics:
Identification of key entry points by which auxin and other signalling pathways modulate subcellular dynamics and polar trafficking of PIN auxin transporters
2. Cell polarity and subcellular dynamics in plant cells:
We elucidate molecular and cellular mechanisms underlying cell polarity and trafficking processes by combination of genetics and high resolution microscopy approaches.
3. Perception of external signals and their integration into subcellular dynamics and cell polarity:
Using combination of reverse genetic, chemical genomics, life cell and high-resolution imaging approaches; we gain new insights into how gravity and light perception is integrated into regulation of subcellular dynamics.
4. Integration of hormonal signalling and subcellular dynamics for multicellular tissue development by mathematical modelling:
The acquired knowledge on hormonal networks; processes of subcellular dynamics and integration of different signals will be used to mathematically model these processes and to extrapolate them onto multicellular developmental situations.