English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

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

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