Background
Tardigrades are small, multicellular invertebrates which are able to survive
times of unfavourable environmental conditions using their well-known
capability to undergo cryptobiosis at any stage of their life cycle.
Milnesium tardigradum has become a powerful model
system for the analysis of cryptobiosis. While some genetic information is
already available for Milnesium tardigradum the proteome is
still to be discovered.
Principal Findings
Here we present to the best of our knowledge the first comprehensive study of
Milnesium tardigradum on the protein level. To
establish a proteome reference map we developed optimized protocols for
protein extraction from tardigrades in the active state and for separation
of proteins by high resolution two-dimensional gel electrophoresis. Since
only limited sequence information of M. tardigradum on the
genome and gene expression level is available to date in public databases we
initiated in parallel a tardigrade EST sequencing project to allow for
protein identification by electrospray ionization tandem mass spectrometry.
271 out of 606 analyzed protein spots could be identified by searching
against the publicly available NCBInr database as well as our newly
established tardigrade protein database corresponding to 144 unique
proteins. Another 150 spots could be identified in the tardigrade clustered
EST database corresponding to 36 unique contigs and ESTs. Proteins with
annotated function were further categorized in more detail by their
molecular function, biological process and cellular component. For the
proteins of unknown function more information could be obtained by
performing a protein domain annotation analysis. Our results include
proteins like protein member of different heat shock protein families and
LEA group 3, which might play important roles in surviving extreme
conditions.
Conclusions
The proteome reference map of Milnesium tardigradum provides
the basis for further studies in order to identify and characterize the
biochemical mechanisms of tolerance to extreme desiccation. The optimized
proteomics workflow will enable application of sensitive quantification
techniques to detect differences in protein expression, which are
characteristic of the active and anhydrobiotic states of tardigrades.