The circadian clocks that control and influence dozens of basic
biological processes have an unexpected "snooze button" that helps cells
adapt to changes in their environment.
A study by Vanderbilt University researchers published online Feb. 17 by the journal Nature
provides compelling new evidence that at least some species can alter
the way that their biological clocks function by using different
"synonyms" that exist in the genetic code.
"This provides organisms with a novel and previously unappreciated
mechanism for responding to changes in their environment," said
Professor of Biological Sciences Carl Johnson. He and Associate
Professor of Biological Sciences Antonis Rokas collaborated on the
study.
Like many written languages, the genetic code is filled with
synonyms: differently spelled "words" that have the same or very similar
meanings. For a long time, biologists thought that these synonyms,
called synonymous codons, were in fact interchangeable. Recently, they
have realized that this is not the case and that differences in
synonymous codon usage have a significant impact on cellular processes,
so scientists have advanced a wide variety of ideas about the role that
these variations play.
The new insight is not only an important advance in understanding
evolution at the molecular level, but it also has potential applications
in biotechnology, such as biofuel production, and gene therapy.
"While biological clocks are vital to maintaining healthy patterns of
sleep, metabolism, physiology and behavior, under certain environmental
conditions strict adherence to these rhythms can be disadvantageous,"
said Michael Sesma of the National Institute of General Medical
Sciences, which partially funded the work. "This work shows how
organisms can ignore the clock under certain circumstances -- much like
hitting a biological snooze button on the internal timepiece -- and
enhance their survival in the face of ever-changing circumstances."
The basic letters of the genetic code are a quartet of molecules
(nucleic acids) designated A, C, G and U. These are combined into 61
triplets called codons, which are analogous to words. The codons provide
the blueprints that the cell's protein-building machinery uses to
generate amino acids, which are the basic building blocks that make all
the proteins found in living organisms. However, cells only use 20 amino
acids. That means a number of amino acids are produced by several
different codons. For example, CCA, CCG and CCC are synonymous codons
because they all encode for the same amino acid, proline.
It turns out that there is a reason for this redundancy. Some codons
are faster and easier for cells to process and assemble into proteins
than others. Recognition of this difference led to the concept of
optimal codons and the hypothesis that natural selection should drive
organisms -- particularly fast growing ones -- to use genes that use
optimal codons to make critical proteins that need to be highly abundant
or synthesized rapidly in cells.
The problem with this hypothesis was shown by Johnson and Rokas'
study of the effect of changing codon usage on the simple biological
clock found in single-celled cyanobacteria (blue-green algae) and a
similar study of the more complex biological clock found in bread mold
performed by a team led by Yi Liu that were published together.
"What the Liu team found was that optimizing all the codons used by
the fungal biological clock knocked the clock out, which was totally
unexpected! Those researchers concluded that clock proteins in the
fungus are not properly assembled if they are synthesized too rapidly;
it's as if the speed of one's writing affected our ability to read the
text," Johnson summarized.
In the cyanobacteria, however, the researchers observed a different
phenomenon. At Vanderbilt, Research Associate Professor Yao Xu optimized
the codons in the cyanobacteria's biological clock. This did not shut
the clock down in the algae, but it did have a more subtle, but
potentially as profound effect: It significantly reduced cell survival
at certain temperatures.
"Xu figured that the biological clock with optimized codons might
work better at lower temperatures and it did," Johnson said. However the
substitution also modified the biological clock so it ran with a
longer, 30-hour period. When forced to operate in a 24-hour daily
light/dark cycles, the bacteria with the optimized clock grew
significantly slower than "wild-type" cells. "In cyanobacteria, it's as
if writing speed changes the meaning," said Rokas.
The potential importance of changes in synonymous codon usage in
adapting to environmental factors is magnified by the fact that they can
influence the operation of biological clocks, which function as a key
adaptation to daily environmental rhythms. Biological clocks control and
influence dozens of different basic biological processes, including
sleeping and feeding patterns, core body temperature, brain activity,
hormone production and cell regeneration.
"It is now clear that variations in codon usage is a fundamental and underappreciated form of gene regulation," said Rokas.
Recognition of the importance of this process has a number of
potential applications in biotechnology. For example, "it should be
possible to improve the ability of algae to robustly express
biofuel-producing proteins from other organisms by optimizing the codons
that they use," Johnson said.
Vanderbilt graduate student Peijun Ma, postdoctoral fellow Premal
Shah from the University of Pennsylvania and Yi Liu, professor at the
University of Texas Southwestern Medical Center also contributed to the
study, which was funded by grants from the National Institute of General
Medical Sciences (GM067152, GM088595, GM068496 & GM062591), the
Welch Foundation (I-1560), the National Science Foundation
(DEB-0844968), the Burroughs Wellcome Fund and a David and Lucille
Packard Foundation Fellowship.
Journal Reference:
- Yao Xu, Peijun Ma, Premal Shah, Antonis Rokas, Yi Liu, Carl Hirschie Johnson. Non-optimal codon usage is a mechanism to achieve circadian clock conditionality. Nature, 2013; DOI: 10.1038/nature11942
Courtesy: ScienceDaily
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