Login

GPC Members Login
If you have any problems or have forgotten your login please contact [email protected]


Northern corn leaf blight genes identified in new study

Midwestern corn growers know the symptoms of northern corn leaf blight all too well: greenish-gray lesions on the leaves that can add up to major yield losses if not detected and treated early. Resistance genes have been identified in corn, but the fungal disease has found ways to sneak around corn's defenses. Now, researchers have figured out how the fungus is outsmarting corn, and they may be able to use this information to help corn fight back.

"We were looking for genes in the fungus that trigger disease in corn. With this information, corn breeders could someday build more durable resistance in future hybrids," says Santiago Mideros, plant pathologist in the Department of Crop Sciences at the University of Illinois.

In a new study published in the journal Phytopathology, Mideros and his colleagues identified two of the genes that cause disease in corn. But in order to understand the significance of the results, it's important to know how fungal and corn genes interact.

Several genes help corn resist different strains of northern corn leaf blight: Ht1, Ht2, Ht3, and HtN. These genes may signal proteins that protect the plant from attack by the fungus, but the exact mechanism isn't known. Resistance breaks down -- corn becomes susceptible again -- when the fungus evolves to avoid detection by the plant.

"When you go through security at the airport, they're looking for weapons. In the same way, plants are looking for weapons that the pathogen has. But the pathogen can drop one weapon and pick up a different one -- something the plant can't detect. But if it has another weapon, it's still going to be dangerous," Mideros says.

The interaction between corn and fungal genes has been known for decades, but until now, scientists didn't know the molecular makeup of those genes in the fungus, or where they were located in the genome. To obtain this information, the research team mated different strains of the fungus: one that causes disease on Ht1 corn plants, and one that doesn't. They then mapped the genes of the resulting progeny.

"Based on data from the progeny, we could detect which gene allows the fungus to cause disease," Mideros explains. They confirmed the location for one fungal gene involved in the disease, AVRHt1, and found a candidate location for another, AVRHt2. The researchers also identified molecular markers that should make identifying disease-causing strains easier in the future.

"Now that we have molecular markers, we could sample the environment and find out which strains of the pathogen are out there. Eventually, farmers might be able to plant corn varieties that are resistant to specific pathogens present in their area," Mideros says.

Mideros emphasizes that much more work is needed to get to a future like that, but the first step is now out of the way.

Read the paper: Determinants of Virulence and In Vitro Development Colocalize on a Genetic Map of Setosphaeria turcica.

Article source: University of Illinois College of Agricultural, Consumer and Environmental Sciences.

News

Using the right plants can reduce indoor pollution and save energy

People in industrialized countries spend more than 80% of their lives indoors, increasingly in air-tight buildings. These structures require less energy for heating, ventilating, and air conditioning, but can be hazardous to human health if particulate matter and potentially toxic gases, including carbon monoxide, ozone, and volatile organic compounds, from sources such as furniture, paints, carpets, and office equipment accumulate. Plants absorb toxins and can improve indoor air quality, but surprisingly little is known about what plants are best for the job and how we can make plants perform better indoor.


Trees are not as 'sound asleep' as you may think

High-precision three-dimensional surveying of 21 different species of trees has revealed a yet unknown cycle of subtle canopy movement during the night. The 'sleep cycles' differed from one species to another. Detection of anomalies in overnight movement could become a future diagnostic tool to reveal stress or disease in crops.


Wood formation model to fuel progress in bioenergy, paper, new applications

A new systems biology model that mimics the process of wood formation allows scientists to predict the effects of switching on and off 21 pathway genes involved in producing lignin, a primary component of wood. The model, built on more than three decades of research led by Vincent Chiang of the Forest Biotechnology Group at North Carolina State University, will speed the process of engineering trees for specific needs in timber, biofuel, pulp, paper and green chemistry applications.