When It Comes to Genetic Code, Optimum Isn't Always Best
News Feb 22, 2013
A team of researchers including a Texas A&M University molecular biologist has shown that concept -- that the speed of creation affects performance -- applies to how a protein they studied impacts an organism's circadian clock function. This discovery provides new insights into the significance of the genetic code for controlling the rates at which critically important proteins are synthesized, and could lead to better understanding of cancers and other diseases.
"Living organisms' inner clocks are like Swiss watches with precisely manufactured spring mechanisms," said Matthew Sachs, a professor in the Texas A&M Department of Biology. "For example, if you fast-temper a critical spring, the watch may be unable to keep time, as opposed to slow-tempering it. It's not just about the composition of the components, such as which alloy is used. It's about the manner in which the components are made. Our research says the genetic code is important for determining both composition and fabrication rate for a central component of the circadian clock, and that the fabrication rate also is critical. And that's essentially a discovery."
The research, funded in part by the National Institutes of Health and the Houston-based Welch Foundation, was selected for Advanced Online Publication (AOP) in the prestigious journal Nature.
The team, which is led by Yi Liu, a researcher in the Department of Physiology at the University of Texas Southwestern Medical Center, was perplexed when it found a paradoxical result years ago: that optimizing the use of codons (a sequence of three nucleotides that form a unit of genetic code in a DNA or RNA molecule) specifying an essential biological clock component actually abolished the organism's circadian rhythms.
The group's research indicates that the protein in the fungal genus Neurospora they studied, frequency, performs better when the genetic code specifying it has non-optimal codon usage, as is normally found. However, when the genetic code is deliberately altered so that codon usage is optimized, clock function is lost. The reason for this is that non-optimal codon usage slows translation of the genetic code into protein, allotting the frequency protein the necessary time to achieve its optimal protein structure.
The team's results also demonstrate that genetic codons do more than simply determine the amino acid sequence of a protein as previously thought: They also affect how much protein can be made as well as the functional quality of that protein.
"We found that less is more, in many cases," Liu said.
Because many genetic diseases are the result of improperly functioning proteins, Sachs says knowledge about how proteins are made and why they have impaired functions is critical to understanding almost all diseases.
"Understanding gene expression is crucial for understanding cancer and other diseases, because ultimately many of these processes involve either mutations of genes or altered expression of genes," said Sachs, who was asked by Liu to help on the research because of his translational expertise in Neurospora.
In addition to Liu and Sachs, the paper's authors include Mian Zhou, Jinhu Guo, Joonseok Cha and Michael Chae, all from the Department of Physiology at UT Southwestern Medical Center; She Chen from the National Institute of Biological Sciences in Beijing; and Jose M. Barral from the Departments of Neuroscience and Cell Biology and Biochemistry and Molecular Biology at UT Medical Branch in Galveston.
Mechanism Controlling Multiple Sclerosis Risk IdentifiedNews
Researchers at Karolinska Institutet have now discovered a new mechanism of a major risk gene for multiple sclerosis (MS) that triggers disease through so-called epigenetic regulation. They also found a protective genetic variant that reduces the risk for MS through the same mechanism.
Synthetic DNA Shuffling Enzyme Outpaces Natural CounterpartNews
A new synthetic enzyme, crafted from DNA rather than protein, flips lipid molecules within the cell membrane, triggering a signal pathway that could be harnessed to induce cell death in cancer cells. Researchers say their lipid-scrambling DNA enzyme is the first in its class to outperform naturally occurring enzymes – and does so by three orders of magnitudeREAD MORE
Antarctic Worm and Machine Learning Help Identify Cerebral Palsy EarlierNews
A research team has released a study in the peer-reviewed journal BMC Bioinformatics showing that DNA methylation patterns in circulating blood cells can be used to help identify spastic cerebral palsy (CP) patients. The technique which makes use of machine learning, data science and even analysis of Antarctic worms, raises hopes for earlier targeted CP therapies.