CSAIL Event Calendar: Previous Series

Whole-genome comparative genomics in the fly

Speaker: Manolis Kellis , MIT CompBio group, CSAIL, Broad Institute
Date: April 24 2006
Time: 11:30AM to 1:00PM
Location: TOC Lab 32-G575
Host: P Clote/ BC & B Berger/ MIT

Contact: Kathleen Dickey, 617 253 3037, kvdickey@mit.edu
Relevant URL: http://www-math.mit.edu/compbiosem/

Comparative genomics has emerged as a powerful method for discovering biological DNA signals in any genome, by virtue of their conservation across related species. To that end, dozens of complete mammalian, fly, and fungal species have been recently sequenced, enabling powerful new methods for signal discovery. In this talk, I will discuss our recent work comparing 12 Drosophila genomes, for gene identification, regulatory motif discovery, and genome evolution.
For gene identification, modeling mutation patterns in coding and non-coding regions allows us to pinpoint genes and exons with very high accuracy. This has allowed us to revisit the gene content of the fly genome with surprising results: hundreds of previously defined gene models appear spurious, reducing the overall gene count; at the other end of the conservation spectrum, we find thousands of new exons, representing novel multi-exon genes, novel alternatively spliced gene forms, and many isolated exons.
In the area of gene regulation, searching for repeated, conserved sequence patterns has resulted in a dictionary of candidate regulatory motifs in the fly. These overlap strongly with known bindings sites of developmentally important regulators, show enrichment in genes with tissue-specific expression, and correlate strongly with known and novel microRNA genes. Moreover, with 12 aligned fly genomes, we can pinpoint individual motif instances with high confidence, enabling us to piece together complete networks of gene regulation.
Finally, we have studied the evolution of gene families, where probabilistic models of gene and genome evolution enable us to identify orthologous genes with much higher confidence than traditional methods, distinguish gene gain and loss events, and understand the evolutionary dynamic of large gene families.
The fly model provides the unique opportunity to understand the biology of a complete animal genome to unprecedented detail. It benefits from a combination of classical genetics, systematic experimentation, embryo visualization, and powerful genomics, bringing us closer than ever to understanding the many mysteries of genome biology.

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