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The results of the various observations and experiments described in this
dissertation have been discussed already in their own sections. Therefore
instead of rehashing the same arguments I propose here to consider these
results in the light of previous experience with using C. elegans as
a model developmental animal, and to speculate in which type of direction
future work, particularly on the genetics of neural specification, might
take us.
The studies described in both parts of this dissertation have relied on the
fact that the C. elegans nervous system is both extremely simple and
highly reproducible, so that information can be gained from a comparatively
small amount of data. However there is also a possible penalty to be paid
in studying an organism with a very small number of cells, all of which are
reproducible from individual to individual. These properties potentially
permit structures to be put together piecemeal by some form of internal
program specific to each part, rather than by general mechanisms.
The initial reason for attempting a computer database analysis of the
synapse and connectivity data was to attempt to find internal logical
patterns in the connectivity data which might allow rules to be proposed
for specifying which cells connected to which, for instance by placing the
neurons in possibly overlapping "super-classes" that might have
common recognition properties, so that if two cells were in compatible
classes and also in contact then they would form a connection. There are
examples of pairs or groups of cells that are in different places and make
mostly different connections, but which make similar connections to cells
that they both contact, and which share other properties in common (White
et al., 1983). However an overall search for such grouping reveals nothing
that is statistically significant. One possible problem that may be
important is that regional specialisation of neurons, as discussed in
Chapter 7, would create complications in any search for classes of neurons
with equivalent synaptic potential. This does not mean that label receptor
matching systems for determining synaptic connectivity do not exist, but
merely that there are too few cells and there is too much variation to
deduce them from the final connectivity data.
A similar observation was made when the complete cell lineage was
determined, which is more reproducible than the nervous system. Although
there are a few suggestive repeated motifs, the overall arrangement of
which precursors produce which cells is essentially haphazard and mosaic,
correlating as much with position as with pattern in the lineage (Sulston,
1983). This could be taken to indicate that external interactions with
extracellular environment were important in determining cell fate, but
abalation experiments largely revealed no effect on adjacent cells (Sulston
and White, 1980, Sulston et al., 1983). Overall this suggests intrinsic
programming, but it has an advantage for the study of intercellular
determination, which is that those instances where specific cell
interaction is important, of which there are a number of clear examples
(Sulston and White, 1980), may be comparatively isolated. A number of the
cell lineage mutants that have been obtained affect situations where
induction or regulation takes place (Sternberg and Horvitz, 1984), and
these may provide an excellent tool to study specific determinitive cell
interactions during development in vivo. One particular gene
of this type has recently been cloned and sequenced, and its protein
sequence has homology to a family of extacellular proteins including growth
factors and their receptors (Greenwald, 1985). Indeed there is an argument
that clean developmental switch genes, which cause the change of cell fate
from one type to another, will often be associated with inductive or
regulative situations: a defect in a single component of an extracellular
signalling pathway, such as the signal or the receptor, would cause an
effective loss of signal, while internal choice determination may be a
complex activity requiring many components simultaneously at each stage,
and with no clear default behaviour. Having obtained one of the components
for an interactive mechanism via a mutant, one then has a genetic handle on
the subsequent parts of the mechanism.
The relative positioning of neuronal processes is much more complex than
that of most other types of cells, and it must be expected that a large
amount of intracellular interaction is required for process positioning and
synapse formation. However much of this may be non-specific. As with the
lineage ablation studies, the ablation experiments described in Chapter 4
in general had remarkably little effect on other cells. The DD3/DD5,
DVC
and PVPL removal experiments showed no immediate effect on guidance of
other neurons at all. As discussed in Chapter 5 there are already mutants
affecting process guidance in various ways. There are also mutants known
that affect synaptic connectivity in the ventral and dorsal nerve cords in
a way that can be interpreted as switching the specificity of certain cells
from one type to another (J. White, L. Nawrocki, personal communication).
It is possible that some of these mutants may also affect comparatively
isolated determinative intercellular interactions, which may provide models
for similar interactions in more complex animals. Even if not they may
still reveal interesting mechanisms involved in specific guidance and
synaptic connectivity. However, by itself, genetics can be problematical
because it may be hard to determine what one is studying. It is ultimately
in combining genetics with the detailed and specific anatomical
observations and experiments that are possible in such a simple organism
that I believe
C. elegans has most to offer development neuroscience. If I were to
continue working with C. elegans I would investigate the early
anatomical development of some of the guidance mutants and follow up the
molecular and genetic opportunities they generate.