Project description:
Plant shapes range from tiny string or mat-like forms
to massive multilayered upright forms with complex organ systems such as
shoots, roots and leaves. Despite these wide differences in shape, many plant
gene families are very ancient, predating diversification. We can therefore
study the mechanisms for shape determination in simple plants such as
liverworts and use the knowledge gained to understand plant shape determination
in general.
To this end, my lab has
used a combination of live imaging, statistical model fitting, computational
modeling and molecular biology to discover mechanisms regulating shape in the liverwort
Marchantia polymorpha.
We found that Marchantia
undergoes a stereotypical sequence of shape transitions during development.
Key aspects of global shape depend on regional growth rate differences
specified by the co-ordinated activities of the growing apical notches. Using
modelling we show that a diffusible growth promoting morphogen produced at each
notch cannot fully account for the observed growth rate distributions. Instead,
we hypothesize that the notches may pre-pattern the growth rate distribution. Your
project will build on our prior work to validate the above ‘notch pre-patterns
growth’ model of shape determination to discover the molecular identities of
factors contributing to growth.
The project aim is to test the hypothesis that the
plant hormone auxin corresponds to the notional morphogen in our ‘notch
pre-patterns growth’ model of shape determination.
The
project will involve:
1.
Analysis
of the auxin distribution in Marchantia
polymorpha
2. Up and
down regulation of auxin biosynthesis, transport, conjugation and decay
3. Analysis
of mutant shapes using live-imaging
4.
Comparison
between experimental manipulations and model manipulations.
Training:
By combining computational and wet lab approaches,
the project will provide training at the cutting edge of the plant evolution
and development fields. The techniques that you learn will be broadly
applicable in the academic biology and biotech sectors. The skills that you
learn will be widely transferable to other areas such as science policy,
publishing and computing.
Further information:
Please contact Dr Jill Harrison (jill.harrison@bristol.ac.uk) for
further information about the project and application procedures.
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