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Improvement of yeast tolerance to acetic acid through Haa1 transcription factor engineering: towards the underlying mechanisms

Overview of attention for article published in Microbial Cell Factories, January 2017
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Title
Improvement of yeast tolerance to acetic acid through Haa1 transcription factor engineering: towards the underlying mechanisms
Published in
Microbial Cell Factories, January 2017
DOI 10.1186/s12934-016-0621-5
Pubmed ID
Authors

Steve Swinnen, Sílvia F. Henriques, Ranjan Shrestha, Ping-Wei Ho, Isabel Sá-Correia, Elke Nevoigt

Abstract

Besides being a major regulator of the response to acetic acid in Saccharomyces cerevisiae, the transcription factor Haa1 is an important determinant of the tolerance to this acid. The engineering of Haa1 either by overexpression or mutagenesis has therefore been considered to be a promising avenue towards the construction of more robust strains with improved acetic acid tolerance. By applying the concept of global transcription machinery engineering to the regulon-specific transcription factor Haa1, a mutant allele containing two point mutations could be selected that resulted in a significantly higher acetic acid tolerance as compared to the wild-type allele. The level of improvement obtained was comparable to the level obtained by overexpression of HAA1, which was achieved by introduction of a second copy of the native HAA1 gene. Dissection of the contribution of the two point mutations to the phenotype showed that the major improvement was caused by an amino acid exchange at position 135 (serine to phenylalanine). In order to further study the mechanisms underlying the tolerance phenotype, Haa1 translocation and transcriptional activation of Haa1 target genes was compared between Haa1 mutant, overproduction and wild-type strains. While the rapid Haa1 translocation from the cytosol to the nucleus in response to acetic acid was not affected in the Haa1(S135F) mutant strain, the levels of transcriptional activation of four selected Haa1-target genes by acetic acid were significantly higher in cells of the mutant strain as compared to cells of the wild-type strain. Interestingly, the time-course of transcriptional activation in response to acetic acid was comparable for the mutant and wild-type strain whereas the maximum mRNA levels obtained correlate with each strain's tolerance level. Our data confirms that engineering of the regulon-specific transcription factor Haa1 allows the improvement of acetic acid tolerance in S. cerevisiae. It was also shown that the beneficial S135F mutation identified in the current work did not lead to an increase of HAA1 transcript level, suggesting that an altered protein structure of the Haa1(S135F) mutant protein led to an increased recruitment of the transcription machinery to Haa1 target genes.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 98 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 2 2%
China 1 1%
Unknown 95 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 23 23%
Student > Master 16 16%
Researcher 13 13%
Student > Bachelor 9 9%
Student > Doctoral Student 5 5%
Other 15 15%
Unknown 17 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 35 36%
Agricultural and Biological Sciences 26 27%
Chemical Engineering 3 3%
Engineering 3 3%
Chemistry 2 2%
Other 4 4%
Unknown 25 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 26 February 2019.
All research outputs
#14,929,039
of 22,962,258 outputs
Outputs from Microbial Cell Factories
#930
of 1,612 outputs
Outputs of similar age
#243,581
of 421,637 outputs
Outputs of similar age from Microbial Cell Factories
#16
of 31 outputs
Altmetric has tracked 22,962,258 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,612 research outputs from this source. They receive a mean Attention Score of 4.4. This one is in the 38th percentile – i.e., 38% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 421,637 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 31 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.