Methodological Study On Using Gene Network To Control Metabolites Yield

The metabolism circuits in the yeast cell are not only interconnected but also relatively independent,different metabolism circuits have cooperative relation.The genes in these metabolic modules are important to the operation of the module.There might be some correlation among gene expression levels of the total module,some sub-module and several specific genes within the module.Therefore,studying the relation between metabolism circuits and the genes is important to guide us obtaining and enhancing some specific metabolite yield.Most cellular proteins' expression levels are consistent with their mRNA levels.Using Stanford SMD microarray data for around 2000 yeast gene expression conditions,we choose every CH1(mRNA quantity before chip-experiment) and CH2(mRNA quantity after chip-experiment) columns in microarray data to make a new database.On the base of this new database,we make in-depth study of lipid metabolize module,and find the genes which make the most important role in the total expression level of the module.A mode was built to fmd the important genes in metabolic pathways.On the other hand,we analysis the genes whose expression changes similar with their module in 13 lipid sub-modules,and we find the genes YHR190W and YHR008W have this character.We have also analyzed the gene of yeast beta-oxidation and preliminarily established a local gene network specific forγ-decalactone production.In this system we found twelve new genes potentially related withγ-decalactone production,which are ERG10,KGD1,LYS21,CIT2,ICL1,AAT1,DAL7,DAL3,ALT2,PCK1,PYC2 and MAE1.Some of these genes are classified outside lipid metabolism,and this suggests we may look for other related modules to enhance the yield ofγ-decalactone.