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Genome shuffling of the nonconventional yeast Pichia anomala for improved sugar alcohol production

Overview of attention for article published in Microbial Cell Factories, August 2015
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Title
Genome shuffling of the nonconventional yeast Pichia anomala for improved sugar alcohol production
Published in
Microbial Cell Factories, August 2015
DOI 10.1186/s12934-015-0303-8
Pubmed ID
Authors

Guoqiang Zhang, Yuping Lin, Xianni Qi, Lixian Wang, Peng He, Qinhong Wang, Yanhe Ma

Abstract

Sugar alcohols have been widely applied in the fields of food and medicine owing to their unique properties. Compared to chemical production, microbial production of sugar alcohols has become attractive because of its environmentally friendly and sustainable characteristics. Our previous study identified the nonconventional yeast Pichia anomala TIB-x229 as a potential producer of sugar alcohols from glucose. To further improve strain performance, we combined genome shuffling with optimized high throughput screening methods for the directed improvement of nonconventional yeast and complex phenotypes. To accelerate strain improvement, a practical genome shuffling procedure was developed and successfully applied in the nonconventional yeast P. anomala to increase sugar alcohol production. Through two rounds of genome shuffling, an improved P. anomala isolate GS2-3 could produce 47.1 g/L total sugar alcohols from 100 g/L glucose, which was 32.3% higher than the original strain. In this process, a simple and accurate colorimetric assay was optimized and used for high throughput screening of sugar alcohol-producing strains. Moreover, a fluorescence-activated cell sorting method was developed to efficiently screen protoplast fusions for genome shuffling of nonconventional yeast. An efficient genome shuffling procedure was developed and applied to enhance the sugar alcohol production of the nonconventional yeast P. anomala. Our results provide a general platform for strain improvement of polyol-producing microorganisms or nonconventional microorganisms in the future.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
China 1 2%
Unknown 44 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 20%
Researcher 6 13%
Student > Bachelor 5 11%
Student > Postgraduate 3 7%
Student > Master 3 7%
Other 6 13%
Unknown 13 29%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 14 31%
Agricultural and Biological Sciences 12 27%
Engineering 3 7%
Unspecified 1 2%
Sports and Recreations 1 2%
Other 1 2%
Unknown 13 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 08 August 2015.
All research outputs
#15,821,622
of 23,498,099 outputs
Outputs from Microbial Cell Factories
#1,021
of 1,654 outputs
Outputs of similar age
#156,520
of 265,516 outputs
Outputs of similar age from Microbial Cell Factories
#29
of 45 outputs
Altmetric has tracked 23,498,099 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,654 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 29th percentile – i.e., 29% 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 265,516 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
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 is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.