Setting fire to imaginations
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Ray Stanyard<br />
the traditional big questions about plant or<br />
animal biology, and computer scientists and<br />
mathematicians who are trained <strong>to</strong> handle big data.<br />
“Just managing that information and analyzing<br />
that data is beyond a lot of our expertise,” said<br />
Bass. “We know how <strong>to</strong> ask the questions. For<br />
example, you have a new strain of corn that is<br />
drought-resistant and you want <strong>to</strong> know what<br />
the difference is in the gene content. I can ask<br />
the question, but I don’t have the computational<br />
wherewithal <strong>to</strong> answer it. A lot of these questions<br />
we have are longstanding questions, and the<br />
<strong>to</strong>ols are just becoming available for us <strong>to</strong> look<br />
at them.”<br />
The whole aspect of figuring out those answers<br />
is what led Beerli, who originally trained as a<br />
biologist, <strong>to</strong> start writing computer programs.<br />
During his graduate training at the University<br />
of Zurich in the early 1990s, he studied<br />
evolutionary genetics of frogs.<br />
“I had all these questions, but I couldn’t analyze<br />
the data the way I wanted,” Beerli said.<br />
“Sometimes, scientists are interested in how a<br />
population ended up on this island or why they<br />
crossed a certain geographic boundary, like a<br />
river,” Beerli said.<br />
With genomics research, the general idea is that<br />
understanding one species might help scientists<br />
understand another species and then another.<br />
The overall effect of this type of research is<br />
wide and varied.<br />
For researchers studying the human genome,<br />
the ultimate goal is <strong>to</strong> find ways <strong>to</strong> prevent<br />
diseases such as cancer or diabetes. For plant<br />
biologists, scientists might want <strong>to</strong> find out<br />
new ways for plants <strong>to</strong> thrive in adverse<br />
conditions — knowledge that would be a huge<br />
boon for the agriculture industry.<br />
Or it’s possible that knowledge about a plant might<br />
lead <strong>to</strong> knowledge about mammals, even humans.<br />
Bass is among the researchers heavily involved in<br />
genetics research. His lab has been searching for<br />
the similarities between plants and animals in<br />
how genetic structures form and then function.<br />
crucial area of research. But there remains little<br />
knowledge of the structures overall. So Bass,<br />
a plant biologist, believed that an analysis of<br />
maize might yield more answers.<br />
The general public thinks of DNA as two<br />
connected strands known as the double helix.<br />
But scientists also discovered over the years<br />
that those strands regularly separate so they can<br />
replicate the genetic material. That material<br />
can also twist in<strong>to</strong> different shapes such as a<br />
G-quadruplex.<br />
In Bass’ work, he found not only that those<br />
same structures existed but that they were<br />
suspiciously prevalent at genes associated with<br />
energy metabolism, suggesting they have a<br />
specific function. The next step is <strong>to</strong> find out<br />
exactly how the G4s affect gene functions.<br />
Bass and Assistant Professor Elizabeth Stroupe,<br />
whose lab spearheaded a separate discovery<br />
about G4 DNA, are hoping <strong>to</strong> jointly conduct<br />
the first-ever computational screen of the<br />
G-quadruplex in the near future.<br />
Beerli authored MIGRATE, a computer program<br />
that helps scientists analyze genetic data. Using<br />
MIGRATE, scientists can see where different<br />
populations of species settled and how their genes<br />
adapted or didn’t adapt <strong>to</strong> suit those areas.<br />
Most recently, Bass has examined the role of a DNA<br />
structure called a G-quadruplex or G4 DNA.<br />
G4 structures regulate genes in humans that<br />
affect cancer and cell division, making it a<br />
Peter Beerli is a professor of scientific<br />
computing who writes open-source<br />
computer programs that can handle a<br />
wealth of genetic data and lets researchers<br />
better understand that data.<br />
Ray Stanyard<br />
artsandsciences.fsu.edu<br />
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