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Adaptive mutations in sugar metabolism restore growth on glucose in a pyruvate decarboxylase negative yeast strain

Overview of attention for article published in Microbial Cell Factories, August 2015
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (88th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

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2 X users
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1 patent

Citations

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79 Mendeley
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Title
Adaptive mutations in sugar metabolism restore growth on glucose in a pyruvate decarboxylase negative yeast strain
Published in
Microbial Cell Factories, August 2015
DOI 10.1186/s12934-015-0305-6
Pubmed ID
Authors

Yiming Zhang, Guodong Liu, Martin K M Engqvist, Anastasia Krivoruchko, Björn M Hallström, Yun Chen, Verena Siewers, Jens Nielsen

Abstract

A Saccharomyces cerevisiae strain carrying deletions in all three pyruvate decarboxylase (PDC) genes (also called Pdc negative yeast) represents a non-ethanol producing platform strain for the production of pyruvate derived biochemicals. However, it cannot grow on glucose as the sole carbon source, and requires supplementation of C2 compounds to the medium in order to meet the requirement for cytosolic acetyl-CoA for biosynthesis of fatty acids and ergosterol. In this study, a Pdc negative strain was adaptively evolved for improved growth in glucose medium via serial transfer, resulting in three independently evolved strains, which were able to grow in minimal medium containing glucose as the sole carbon source at the maximum specific rates of 0.138, 0.148, 0.141 h(-1), respectively. Several genetic changes were identified in the evolved Pdc negative strains by genomic DNA sequencing. Among these genetic changes, 4 genes were found to carry point mutations in at least two of the evolved strains: MTH1 encoding a negative regulator of the glucose-sensing signal transduction pathway, HXT2 encoding a hexose transporter, CIT1 encoding a mitochondrial citrate synthase, and RPD3 encoding a histone deacetylase. Reverse engineering of the non-evolved Pdc negative strain through introduction of the MTH1 (81D) allele restored its growth on glucose at a maximum specific rate of 0.053 h(-1) in minimal medium with 2% glucose, and the CIT1 deletion in the reverse engineered strain further increased the maximum specific growth rate to 0.069 h(-1). In this study, possible evolving mechanisms of Pdc negative strains on glucose were investigated by genome sequencing and reverse engineering. The non-synonymous mutations in MTH1 alleviated the glucose repression by repressing expression of several hexose transporter genes. The non-synonymous mutations in HXT2 and CIT1 may function in the presence of mutated MTH1 alleles and could be related to an altered central carbon metabolism in order to ensure production of cytosolic acetyl-CoA in the Pdc negative strain.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 1%
Denmark 1 1%
Unknown 77 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 18 23%
Student > Ph. D. Student 16 20%
Student > Master 10 13%
Student > Bachelor 8 10%
Student > Doctoral Student 7 9%
Other 11 14%
Unknown 9 11%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 23 29%
Agricultural and Biological Sciences 18 23%
Engineering 6 8%
Chemical Engineering 6 8%
Chemistry 6 8%
Other 8 10%
Unknown 12 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 03 August 2023.
All research outputs
#2,461,502
of 24,293,076 outputs
Outputs from Microbial Cell Factories
#74
of 1,711 outputs
Outputs of similar age
#31,784
of 268,816 outputs
Outputs of similar age from Microbial Cell Factories
#3
of 45 outputs
Altmetric has tracked 24,293,076 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,711 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done particularly well, scoring higher than 95% 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 268,816 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 88% of its contemporaries.
We're also able to compare this research output to 45 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.