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Improving Saccharomyces cerevisiae ethanol production and tolerance via RNA polymerase II subunit Rpb7

Overview of attention for article published in Biotechnology for Biofuels and Bioproducts, May 2017
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (77th percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

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1 blog
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Title
Improving Saccharomyces cerevisiae ethanol production and tolerance via RNA polymerase II subunit Rpb7
Published in
Biotechnology for Biofuels and Bioproducts, May 2017
DOI 10.1186/s13068-017-0806-0
Pubmed ID
Authors

Zilong Qiu, Rongrong Jiang

Abstract

Classical strain engineering methods often have limitations in altering multigenetic cellular phenotypes. Here we try to improve Saccharomyces cerevisiae ethanol tolerance and productivity by reprogramming its transcription profile through rewiring its key transcription component RNA polymerase II (RNAP II), which plays a central role in synthesizing mRNAs. This is the first report on using directed evolution method to engineer RNAP II to alter S. cerevisiae strain phenotypes. Error-prone PCR was employed to engineer the subunit Rpb7 of RNAP II to improve yeast ethanol tolerance and production. Based on previous studies and the presumption that improved ethanol resistance would lead to enhanced ethanol production, we first isolated variant M1 with much improved resistance towards 8 and 10% ethanol. The ethanol titers of M1 was ~122 g/L (96.58% of the theoretical yield) under laboratory very high gravity (VHG) fermentation, 40% increase as compared to the control. DNA microarray assay showed that 369 genes had differential expression in M1 after 12 h VHG fermentation, which are involved in glycolysis, alcoholic fermentation, oxidative stress response, etc. This is the first study to demonstrate the possibility of engineering eukaryotic RNAP to alter global transcription profile and improve strain phenotypes. Targeting subunit Rpb7 of RNAP II was able to bring differential expression in hundreds of genes in S. cerevisiae, which finally led to improvement in yeast ethanol tolerance and production.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 101 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Thailand 1 <1%
Unknown 100 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 25 25%
Student > Master 15 15%
Researcher 14 14%
Student > Bachelor 6 6%
Student > Doctoral Student 6 6%
Other 9 9%
Unknown 26 26%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 33 33%
Agricultural and Biological Sciences 21 21%
Chemical Engineering 7 7%
Environmental Science 3 3%
Immunology and Microbiology 2 2%
Other 5 5%
Unknown 30 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 24 May 2017.
All research outputs
#4,370,994
of 25,382,440 outputs
Outputs from Biotechnology for Biofuels and Bioproducts
#252
of 1,578 outputs
Outputs of similar age
#71,935
of 324,748 outputs
Outputs of similar age from Biotechnology for Biofuels and Bioproducts
#8
of 60 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,578 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done well, scoring higher than 83% of its peers.
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 324,748 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 77% of its contemporaries.
We're also able to compare this research output to 60 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.