The Nebraska-developed multi-organ metabolic model — the largest ever created of corn (or any other plant) — allows scientists to conduct research more efficiently and quickly than field research using actual corn plants. The model can also help field researchers with actual corn plants conduct experiments faster and more efficiently, said Niaz Bahar Chowdhury, a doctoral student working with Saha.
It’s estimated that temperature stress resulting from climate change can reduce corn productivity by 7% to 18%.
“There is a pressing need to develop high-yielding maize genotypes capable of withstanding temperature stress,” Saha said.
Scientists are focusing on how plants’ metabolism can be adjusted to counteract that stress. The team’s study takes a holistic, plant-wide approach rather than looking only at specific elements of the plant, Saha said.
Among other impacts, temperature stress can reduce photosynthesis and carbohydrate synthesis in leaves, reduce starch synthesis in kernels, and affect amino acids and lignin biosynthesis in stalks. Also, temperature stress can damage enzymes and tissues, impair flowering and trigger oxidative stress at the reproductive stage.
Saha’s team expressed excessive heat and cold data into their model, finding that both created so-called “metabolic bottlenecks” that slowed plant growth, but noting that heat was especially problematic. Excessive heat is expected to continue impeding crop growth amid ongoing climate change.
One approach to mitigate temperature stress is to reengineer the plant, creating new hybrids that are less affected by it. While that can be successful, “it’s a very, very long process,” Saha said.
In the other approach, researchers inoculated corn root with a beneficial fungus known as Rhizophagus irregularis, commonly used as a soil inoculant. The new study found that R. irregularis also was successful in reducing metabolic bottlenecks that slow plant growth under heat and cold stress conditions, Saha said. Both whole plant biomass and organ-specific biomass growth rates increased with the fungal treatment. Future research, using the same metabolic model, will focus on how R. irregularis affects plant metabolism under high- and low-nitrogen conditions.
Chowdhury and Saha said the model they have created will be available to researchers who want to study other stresses on corn.
Source : unl.edu