Will It Live or Die? Researchers Develop Biomarkers to Manage Impact of Sudden Oak Death

A coast live oak killed by sudden oak death syndrome. (Photo courtesy of U.S. Forest Service)

COLUMBUS, Ohio -- Ohio State University researchers have developed a way to predict the resistance or susceptibility of trees to sudden oak death disease, providing forest managers with the first effective method to manage trees in infested natural areas and in adjoining areas where the disease is expected in the future.

A forest disease caused by the invasive fungus-like pathogen Phytophthora ramorum, sudden oak death was first detected in California in 1995. It has since killed millions of tanoaks and trees of several oak species on the West Coast. It is also a potential threat to the valuable Eastern oak species, some of which are known to be highly susceptible to the disease.

“This is the first time anyone has been able to come up with a method to predict resistance to a forest tree disease in natural populations in the field,” said Pierluigi Bonello, a plant pathologist with the university’s College of Food, Agricultural, and Environmental Sciences.

The novel method employs “biomarkers” of resistance, in this case compounds found in the phloem (inner bark) of coast live oaks that can indicate whether a tree is resistant or susceptible to P. ramorum. Bonello developed a model to predict levels of resistance based on the presence of those compounds, which is the basis for their discovery.

Without these biomarkers, Bonello said, it would take years to know which trees are likely to survive.

“Our biomarkers allow us to identify trees much faster and before they ever become infected,” Bonello said. “Currently, it takes a week from the time small samples of phloem are collected to the time testing is done in our lab. We are refining the process to make it more user-friendly, faster and cheaper.”

Bonello’s collaborators in this research include his Ph.D. student, Anna Conrad; Stephen Opiyo, Molecular and Cellular Imaging Center, Ohio State; Brice McPherson and David Wood, University of California, Berkeley; and Sylvia Mori, U.S. Department of Agriculture, Forest Service. Also involved in the project is the East Bay Regional Park District in Contra Costa County, Calif.

The new technology offers natural resource managers a non-destructive method to “risk-rate” their coast live oak stands for future sudden oak death mortality, Bonello said.

“With this information in hand, special efforts can be taken to protect forests with high levels of resistance from logging, development and fire,” Bonello pointed out. “We believe these findings will give hope to resource managers and homeowners who are being impacted by this destructive tree pathogen.”  

The discovery is described in the Jan. 15 issue of the journal Forest Ecology and Management.

According to Bonello, the benefits of this discovery are not limited to combating sudden oak death disease. “These findings also provide a useful blueprint to tackle other similarly destructive forest pest problems closer to home, such as emerald ash borer,” he said.

The idea that coast live oak had some resistance to the sudden oak death pathogen was first hypothesized by Bonello’s collaborators at UC-Berkeley, who conducted a prior experiment in which trees were artificially inoculated to figure out whether diseased trees were more attractive to wood-boring insects that hasten their death. As a result, scientists discovered a wide range of susceptibility in coast live oak, including trees that seemed to resist the attack.

Bonello, who was originally involved in sudden oak death research in the 1990s when he was a postdoctoral researcher at the University of California, Davis, began studying tree resistance to the disease in 2009.

“As part of this research, we have surveyed and tested tree populations around the San Francisco Bay Area that have been impacted by sudden oak death disease,” Bonello explained. “In one population that has been heavily affected, 30 to 40 percent of the remaining trees appear to be resistant. This data allowed us to classify trees as either resistant or susceptible, and then we analyzed their phloem for clues that would explain what was behind such resistance at the chemical level.”

Funding for this research was provided by the U.S. Forest Service’s Forest Health Protection program.


CFAES News Team
For more information, contact: 

Pierluigi Bonello