When it comes to cellular communication networks, a
primitive single-celled microbe that answers to the
name of Monosiga brevicollis has a leg up on
animals composed of billions of cells. It commands a
signaling network more elaborate and diverse than
found in any multicellular organism higher up on the
evolutionary tree, researchers at the Salk Institute
for Biological Studies have discovered.
Their study, which will be published during the
week of July 7-11 in the online edition of the
Proceedings of the National Academy of Science,
unearthed the remarkable count of 128 tyrosine kinase
genes, 38 more than found in humans.
These kinases transmit essential signals for cell
growth, stasis, and death. Though their activity is
tightly regulated in normal cells, out-of-control
kinases are a major cause of cancer. Many successful
cancer drugs – such as Gleevec, which is used for the
treatment of leukemia, – specifically target wayward
tyrosine kinases.
This treasure trove of diverse and novel tyrosine
kinases took the study's lead author Gerard Manning,
who heads the Razavi-Newman Center for Bioinformatics,
by surprise since it was long thought that tyrosine
kinases are restricted to multicellular animals where
they handle communication between cells.
"We were absolutely stunned," says Manning. "Based on
past work, we had expected maybe a handful of these
kinases but instead discovered that this primitive
organism has a record number of them. Two other
essential parts of the tyrosine kinase network – PTP
and SH2 genes – are also more numerous than in any
other genome, showing that it is the whole network
that is elaborated here."
The 100 trillion cells in our bodies require elaborate
communication systems to coordinating their
activities. Tyrosine kinases, extremely well-studied
enzymes that act as receivers for external cues such
as a growth signals and relay their message within
cells by attaching tiny phosphate groups to proteins,
are a vital part or this communication system.
At first glance, Monosiga brevicollis, which
belongs to the group of choanoflagellates –
microscopic, aquatic organisms that occupy the grey
area between fungal and animal kingdoms – has little
in common with multicellular animals that need to
co-ordinate the activities of billions of cells. But
its distinctive architecture – a collar of tentacle
surrounding a whip-like tail known as flagellum – has
the same basic structure as "collar cells" that
aggregate to form sponges, which are considered the
most primitive multicellular organisms or metazoans.
Because of their key evolutionary position, M.
brevicollis was selected as a representative
choanoflagellate for whole genome sequencing. "Choanoflagellates
are like 'first cousins' of animals and their genome
allows us a glimpse into the evolutionary origin of
animals," says Manning.
The Monosiga kinases are more divergent than
anything previously seen in animals, which may help
scientists understand the fundamentals of how all
tyrosine kinase signaling works. Despite their extreme
diversity, Monosiga kinases time and again
arrive at the same solution to a problem, as do animal
kinases, but using a distinct method for instance to
create a sensor structure that emerges from the cell,
or to target a kinase to a specific part of the cell.
"This convergent evolution suggests that there are
only a limited number of ways build a functional
network from these components," says Manning.
With all this new information, one obvious question
remains unanswered: what is a single-celled organism
doing with all this communications gear? "We don't
have a clue!" says Manning, "but this discovery is the
first step in finding out."
For more information, please go to:
http://kinase.com/monosiga/
Researchers who also contributed to the work include
Yufeng Zhai, Ph.D. from the Salk Institute, Susan L.
Young, Ph.D., in the Center for Integrative Genomics
at the University of California, Berkeley and W. Todd
Miller, Ph. D. in the Department of Physiology and
Biophysics at Stony Brook University, Stony Brook.
The work was supported by the NIH and the Razavi
Newman Center for Bioinformatics.
Source:-Salk
Institute
Published on 18th
July 2008
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