Filter
Publication Date
Type of Publication
3 Publications
Showing 1-3 of 3 resultsWe report an extreme morphological difference between Drosophila sechellia and related species of the pattern of hairs on first-instar larvae. On the dorsum of most species, the posterior region of the anterior compartment of most segments is covered by a carpet of fine hairs. In D. sechellia, these hairs have been lost and replaced with naked cuticle. Genetic mapping experiments and interspecific complementation tests indicate that this difference is caused, in its entirety, by evolution at the ovo/shaven-baby locus. The pattern of expression of the ovo/shaven-baby transcript is correlated with this morphological change. The altered dorsal cuticle pattern is probably caused by evolution of the cis-regulatory region of ovo/shaven-baby in the D. sechellia lineage.
In the March 24 issue of Science, a flurry of papers report on the impending completion of the Drosophila melanogaster genome sequence. This historic achievement is the result of a unique collaboration between the Berkeley Drosophila Genome Project (BDGP), led by Gerry Rubin, and the genomics company Celera, headed by Craig Venter. With its genome almost completely sequenced ahead of schedule, Drosophila is another important model organism to enter the postgenomic age, and represents the largest genome sequenced to date.
I consider a topographic projection between two neuronal layers with different densities of neurons. Given the number of output neurons connected to each input neuron (divergence) and the number of input neurons synapsing on each output neuron (convergence), I determine the widths of axonal and dendritic arbors which minimize the total volume of axons and dendrites. Analytical results for one-dimensional and two-dimensional projections can be summarized qualitatively in the following rule: neurons of the sparser layer should have arbors wider than those of the denser layer. This agrees with the anatomic data for retinal, cerebellar, olfactory bulb, and neocortical neurons the morphology and connectivity of which are known. The rule may be used to infer connectivity of neurons from their morphology.