Identifying a plant cell barrier to breeding more nutritious crops
What if we could grow plants that are larger and also have higher nutritional content? Michigan State University scientists have identified a expand iconprotein that could be a major roadblock to growing such plants.
Proteins perform most, if not all, of life’s functions, like promoting growth, repairing body tissue, or building muscle. And if proteins are like ‘words,’ amino acids are the ‘letters.’ Our bodies use about 20 amino acids, in various combinations, or ‘spellings,’ to produce different proteins.
Our bodies produce some expand iconamino acids . But there are 9 'essential amino acids' that we and other animals can’t make. We get these through foods, such as meats, dairy, and ultimately plants.
For decades, scientists have been trying to dial up amino acid content in crops by ramping up their production systems. But they always run into the same problem. The crops get sick, and the scientists are confused as to why plants suffer from the abundance of these amino acids.
The new study suggests the target of rapamycin (TOR) protein is a major roadblock. The work is published in eLife.
Plants unsure if they're 'hungry'
“TOR protein is a master regulator of metabolism in plant cells,” says Pengfei Cao, post-doc in the lab of Federica Brandizzi. “It detects variables, like nutrient availability, energy levels, growth cues, and so on. TOR protein uses this information to control cell growth and metabolism functions.”
When TOR senses an adequate amount of nutrients, it promotes growth. The twist: TOR is so powerful in controlling many biosynthetic processes and cell structures, that it can cause problems if it is not regulated well.
It turns out TOR judges nutrient availability through a sample size of three amino acids. If you give the plant a lot of these, TOR assumes nutrients are plentiful and goes into overdrive mode.
In reality, nutrient availability might not be adequate.
Overactive TOR distorts plant cells
Such an overactive TOR, might change the structure of the cell, to the detriment of a plant’s health.
Here is an example. One of TOR’s functions is to tinker with little cellular filaments, called actin.
“Actin filaments make up the ‘skeleton’ of the plant cell that upholds the cell’s expand iconendomembrane system. The latter builds several of the cell’s building blocks. These filaments also help determine the cell’s shape,” Pengfei adds. "We find that an overly active TOR will lead to higher protein production and larger cell size."
"But the cell shapes are abnormal. For example, the root cells fail to fully form root hairs so that they can absorb water.”
In other words, the result is an unhappy plant that develops at a slower pace.
“Here is my takeaway: when scientists have tried to boost amino acid production in crops, the problem is not that there are too many amino acids. Maybe these crops get sick due to side effects on tiny structures inside their cells.” Pengfei says. “Once we figure out some major dynamics that cause plants to get sick, we could retry ways to overproduce amino acids in a balanced and healthy way.”
On a last note, Pengfei thinks the interdisciplinary nature of the work allowed for the breakthrough. “We work with plant cell structures. Our collaborators from the lab or Robert Last study biochemical pathways. If we had worked on this project separately, we wouldn’t have the expertise to examine where the defects crop up.”
Researchers are integrating their work into undergraduate cell and molecular biology laboratory courses at Michigan State University through the use of Arabidopsis mutant screenings.
MSU-DOE Plant Research Laboratory (PRL) scientists have published a new study that furthers our understanding of how plants make membranes in chloroplasts, the photosynthesis powerhouse
A new AI system, called DeepLearnMOR, can identify organelles and classify hundreds of microscopy images in a matter of seconds and with an accuracy rate of over 97%. The study illustrates the potential of AI to significantly increase the scope, speed, and accuracy of screening tools in plant biology.