W67
Department of Plant Breeding, Cornell University, Ithaca, NY 14853
The ability to view data in different and complementary ways can provide
researchers with new insights into basic scientific questions.
Databases make it possible to access large amounts of data easily and
the manipulation of database displays offers opportunities for novel
synthesis of disparate types of data. One area in which innovative
display tools can be used productively is comparative genome analysis,
particularly among the grasses. In the RiceGenes
database, displays are available for the visualization of homoeologous
segments between rice and maize, rice and oat, and rice and Triticeae,
all overlaid on the rice consensus map. Each grass species is also
represented by its own genetic map display, portraying regions sharing
conserved gene order with rice. Most recently, displays have been
developed allowing users of RiceGenes to view QTL and homoeology
information simultaneously. For example, a user can see the location of
a rice yield QTL and simultaneously assess whether the chromosomal
region containing the QTL is conserved in other grass species. If so,
the user may move seamlessly to a display of the alternate grass species
(i.e., maize) to see if a QTL for a similar trait has been reported in
the homoeologous region. Utilization of these displays will allow
researchers to diagnose similarities and differences in chromosome
structure and gene content among species that are not readily apparent.