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An organic acid-tolerant HAA1-overexpression mutant of an industrial bioethanol strain of Saccharomyces cerevisiae and its application to the production of bioethanol from sugarcane molasses

Overview of attention for article published in AMB Express, December 2013
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Title
An organic acid-tolerant HAA1-overexpression mutant of an industrial bioethanol strain of Saccharomyces cerevisiae and its application to the production of bioethanol from sugarcane molasses
Published in
AMB Express, December 2013
DOI 10.1186/2191-0855-3-74
Pubmed ID
Authors

Takuya Inaba, Daisuke Watanabe, Yoko Yoshiyama, Koichi Tanaka, Jun Ogawa, Hiroshi Takagi, Hitoshi Shimoi, Jun Shima

Abstract

Bacterial contamination is known as a major cause of the reduction in ethanol yield during bioethanol production by Saccharomyces cerevisiae. Acetate is an effective agent for the prevention of bacterial contamination, but it negatively affects the fermentation ability of S. cerevisiae. We have proposed that the combined use of organic acids including acetate and lactate and yeast strains tolerant to organic acids may be effective for the elimination of principally lactic acid bacterial (LAB) contamination. In a previous study employing laboratory S. cerevisiae strains, we showed that overexpression of the HAA1 gene, which encodes a transcriptional activator, could be a useful molecular breeding method for acetate-tolerant yeast strains. In the present study, we constructed a HAA1-overexpressing diploid strain (MATa/α, named ER HAA1-OP) derived from the industrial bioethanol strain Ethanol Red (ER). ER HAA1-OP showed tolerance not only to acetate but also to lactate, and this tolerance was dependent on the increased expression of HAA1 gene. The ethanol production ability of ER HAA1-OP was almost equivalent to that of the parent strain during the bioethanol production process from sugarcane molasses in the absence of acetate. The addition of acetate at 0.5% (w/v, pH 4.5) inhibited the fermentation ability of the parent strain, but such an inhibition was not observed in the ethanol production process using ER HAA1-OP.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
India 1 2%
Unknown 59 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 18%
Student > Ph. D. Student 10 16%
Student > Master 9 15%
Student > Bachelor 5 8%
Student > Doctoral Student 4 7%
Other 11 18%
Unknown 11 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 25 41%
Biochemistry, Genetics and Molecular Biology 12 20%
Engineering 5 8%
Chemistry 2 3%
Social Sciences 1 2%
Other 2 3%
Unknown 14 23%