Doug Ramsey (858) 822-5825
While it took twenty-five years for astronomers to go from theory to confirmation of Pluto’s existence, it took genome scientists barely three months in 2003 to confirm a revolutionary new view of what happens in the human genome to cause dramatic evolutionary changes. Now bioinformaticians at the University of California, San Diego (UCSD)—who posited that ‘fragile’ regions exist in the human genome that are more susceptible to gene rearrangements—are collaborating with biologists to see if their new theory can yield potentially life-saving insights into diseases such as breast cancer, in which chromosomal rearrangements are implicated.
"It took only three months to go from theory to hard scientific evidence that there are regions of the genome that are subject to evolutionary ‘earthquakes’ over and over again," says Pavel Pevzner, who holds the Ronald R. Taylor Chair in computer science and engineering at UCSD’s Jacobs School of Engineering. "That is representative of how quickly knowledge is advancing in bioinformatics, and how useful this research can be for medicine and other fields."
In June, Pevzner and UCSD mathematics professor Glenn Tesler predicted the existence of evolutionary ‘fault zones’ – hotspots where gene rearrangements are more likely to occur and change the architecture of our genomes. Their work was based on computational analysis and comparison of the human and mouse genomes. In a paper in the journal Proceedings of the National Academy of Sciences (PNAS), Pevzner and Tesler estimated that these fault zones may be limited to approximately 400 ‘fragile’ regions that account for only 5 percent of the human genome. While reaching that estimate using computers, the researchers were not yet able to point to specific locations in the genome where these rearrangements are more commonplace.
The PNAS paper departed from the prevailing ‘random breakage’ theory of evolution that has been widely held for nearly two decades, but the theory of ‘fragile breakage’ quickly gained acceptance. A team led by UC Santa Cruz scientists Jim Kent and David Haussler—who are widely credited for their work in the public-sector assembly of the human genome—were the first to confirm the UCSD results. In addition, for the first time, they explicitly pinpointed the location of some of the faults in the human genome.
Kent’s findings were published in the September 30 edition of PNAS, along with a commentary by two pioneers in computational biology: University of Ottawa mathematician David Sankoff, and Case Western Reserve University genetics professor Joseph Nadeau. The commentary supports the original conclusions of Pevzner and Tesler. That support is all the more notable, because Nadeau is the scientist who originated the random breakage theory in the mid-1980s that Pevzner and Tesler rebutted. In their article, he and Sankoff acknowledge that the random breakage theory needs to be revised along the lines spelled out by Pevzner and Tesler.
Using similar computational tools, Pevzner and his post-doctoral
researcher, Ben Raphael, are working with biologists at the University
of California, San Francisco (UCSF) Cancer Center to analyze chromosomal
rearrangements in tumors. Their October paper in the journal Bioinformatics
includes an analysis that yields the first high-resolution (albeit incomplete)
picture of the genomic architecture of a complex breast cancer genome.
“When the letters of our genomic alphabet get scrambled in a single lifetime, it can be life-threatening,” says Pevzner. “But
we suspect that by understanding how genomic rearrangements play out over millions of years of human evolution, we may find a correlation between these phenomena—and possibly provide biologists with new tools to study such conditions as breast cancer at the genetic level.”
As soon as reconstructions of other tumor genomes are completed, Pevzner and his colleagues will investigate whether the breakpoints implicated in cancers are correlated with the breakpoints evident in human-mouse evolution from their common ancestor 75 million years ago. And as other mammalian genomes are sequenced, Pevzner and Tesler expect to use advanced computational tools to derive further insights into human evolution and cancer.
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