Cyber gene network could speed up discoveries

Seth Truscott, College of Agricultural, Human & Natural Resource Sciences

PULLMAN, Wash. – A Washington State University team has set out to digitally model how every known gene interacts with every other gene – in plants, animals, insects and people.

These gene expression networks could promote development of biomarkers that breeders use to grow new crops through traditional methods. The work could aid scientists in finding new genes that influence plant and animal health.

Stephen Ficklin, a computational biologist in the WSU Department of Horticulture, and colleagues will build the networks with $895,000 from the National Science Foundation. Their project will help test the Scientific Data Analysis at Scale project, or SciDAS, a $2.9 million NSF-funded effort to improve the United States’ cyber infrastructure and help scientists make better use of it.

“Improving our cyber infrastructure helps make the U.S. more competitive in research,” Ficklin said. “It keeps us in the forefront of data science.”

The WSU team will collaborate with Clemson University and RENCI, the Renaissance Computing Institute, which is a collaboration between the University of North Carolina-Chapel Hill, North Carolina State University and Duke University.

Helping breeders screen seedlings quickly

The researchers will take data from the National Center for Biotechnology Information, a public repository of genomic information, for as many species as possible and create networks that show how each gene interacts with every other one.

“In the end, we will create the most complete repository of gene coexpression networks that exists anywhere,” Ficklin said.

By following network connections, he said, scientists could discover genes that benefit agriculture, medicine, animal science and other fields.

“As a WSU researcher, I hope to help plant breeders,” he said. “I want to build networks like these as tools for breeders to find traits they’re interested in. They could use biomarkers to screen their seedlings in weeks instead of months or years.”

“Plant breeders can look for genes known to be associated with good or bad traits and use them to make traditional crosses,” he added.

Expanding cyber infrastructure

With tens of thousands of genes in every organism, the computer power required to create these gene-expression networks is vast – well beyond the capability of a single supercomputer. A single test case by Ficklin and collaborators required 1,200 processors and four weeks – divided among 70,000 computation jobs.

SciDAS gives researchers an easier way to spread their computational needs across existing large-scale resources, such as the Open Science Grid or Cloud Lab, growing or shrinking their demands as needed.

The final network will be kept, as part of SciDAS, on three petabytes (3 million gigabytes) of storage at WSU, RENCI and Clemson University.

 

News media contact:
Stephen Ficklin, WSU Department of Horticulture, 509-335-4295, stephen.ficklin@wsu.edu

 

Next Story

Recent News

Desire to improve food safety leads Afghan student to WSU

Barakatullah Mohammadi saw firsthand the effects of food borne illnesses growing up in Afghanistan. Now a WSU graduate student, he will receive a prestigious national food and agriculture research fellowship.

Elk hoof disease likely causes systemic changes

Elk treponeme-associated hoof disease, previously thought to be limited to deformations in elks’ hooves, appears to create molecular changes throughout the animal’s system, according to WSU epigenetic research.

College of Education professor receives Fulbright award

Margaret Vaughn will spend three weeks in Vienna, Austria where she will work with a research team discussing student agency and the role of adaptability in classroom learning environments.