Abstract
We present an integrated analysis of the molecular repertoire of Chlamydomonas reinhardtii under
reference conditions. Bioinformatics annotation methods combined with GCxGC/MS-based metabolomics
and LC/MS-based shotgun proteomics profiling technologies have been applied to characterize abundant
proteins and metabolites, resulting in the detection of 1069 proteins and 159 metabolites. Of the measured
proteins, 204 currently do not have EST sequence support; thus a significant portion of the proteomicsdetected
proteins provide evidence for the validity of in silico gene models. Furthermore, the generated
peptide data lend support to the validity of a number of proteins currently in the proposed model stage. By
integrating genomic annotation information with experimentally identified metabolites and proteins, we
constructed a draft metabolic network for Chlamydomonas. Computational metabolic modeling allowed an
identification of missing enzymatic links. Some experimentally detected metabolites are not producible by
the currently known and annotated enzyme set, thus suggesting entry points for further targeted gene
discovery or biochemical pathway research. All data sets are made available as supplementary material as
well as web-accessible databases and within the functional context via the Chlamydomonas-adapted
MapMan annotation platform. Information of identified peptides is also available directly via the JGIChlamydomonas
genomic resource database (http://genome.jgi-psf.org/Chlre3/Chlre3.home.html).
Original language | English |
---|---|
Pages (from-to) | 157-166 |
Number of pages | 10 |
Journal | Genetics: a periodical record of investigations bearing on heredity and variation |
Volume | 179 |
Publication status | Published - 2008 |
Austrian Fields of Science 2012
- 106002 Biochemistry
- 305102 DNA analysis (Forensic medicine)
- 106037 Proteomics