Saccharomyces cerevisiae Genetically Engineered Bacteria Using Glucose Efficiently, Its Construction Method and Application

Abstract

The invention discloses a saccharomyces cerevisiae genetically engineered bacterium capable of efficiently utilizing glucose. The genetically engineered bacterium is used for over-expressing thiazole synthase Thi4 and a global transcription factor Hap4 and belongs to the field of genetic engineering. The invention further discloses a construction method and fermentation application of a strain. According to the saccharomyces cerevisiae genetically engineered bacterium disclosed by the invention, a high-copy free type plasmid pYX212 carrier is utilized and endogenous thiazole synthase Thi4 and global transcription factor Hap4 are over-expressed in the saccharomyces cerevisiae strain to obtain a recombinant saccharomyces cerevisiae strain capable of improving the consumption speed of the glucose, the growth speed of thalli and the yield of ethanol.

Description

technical field [0001] The invention relates to the fields of microorganisms and molecular biology, in particular to a Saccharomyces cerevisiae strain that utilizes glucose efficiently and its construction method and application. Background technique [0002] Facing the rapid depletion of fossil fuel reserves and global warming, sustainable and renewable energy has become a global research hotspot. Bioethanol is the first choice to replace traditional fuels. Saccharomyces cerevisiae has the advantages of high ethanol tolerance and can ferment under strict anaerobic conditions, so it is the first choice for industrial ethanol production. [0003] Glucose is the monosaccharide with the highest content in the starch raw material and sugar raw material for the production of bioethanol. During glucose fermentation, the viability, specific cell growth rate and sugar uptake rate of Saccharomyces cerevisiae are directly related to the medium conditions. Nagodawithana and Steinkra...

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Problems solved by technology

However, the design of metabolic networks often encounters unexpected results due to the high degree of correlation between intracellular components, which tend to offset or amplify artificially induced mutations

Cofactors are the most correlated metabolites in the metabolic network, so although a single reaction is manipulated, changes in the concentration of cofactors involved in the reaction can have a broad impact on metabolism

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