Metabolic network construction based on the genome of the marine diatom Thalassiosira pseudonana and the analysis of genome-wide transcriptome data to investigate triacylglyceride accumulation

摘要: METABOLIC NETWORK CONSTRUCTION BASED ON THE GENOME OF MARINE DIATOM THALASSIOSIRA PSEUDONANA AND ANALYSIS GENOME-WIDE TRANSCRIPTOME DATA TO INVESTIGATE TRIACYLGLYCERIDE ACCUMULATION By Karen R. Parker Algal lipids called triacylglycerols (TAGs) are essential compounds in marine ecology and also used as the basis for commercial production of algal biofuels omega-3 nutraceuticals. The goal this thesis was to elucidate biochemical processes associated with lipid accumulation diatoms under different environmental conditions. approach made use Mock et al. whole genome tiling microarray gene expression database Thalassiosira pseudonana annotations derived from sequencing work Armbrust analytical bioinformatic tools, including Stanford Research Institute’s (SRI) BioCyc Pathway tool Joint Genome (JGI) Integrated Microbial Genomes/Expert Review (IMG/ER) tool. This analysis has resulted building first pathway model T. that includes over three hundred metabolic pathways. transcriptome data combination illustrated not only activity fatty acid pathways but interplay other affect TAGs silico revealed evidence un-annotated functions lack key regulatory protein PII pointing distinctive features diatoms.