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Production of poly-γ-glutamic acid by a thermotolerant glutamate-independent strain and comparative analysis of the glutamate dependent difference

Overview of attention for article published in AMB Express, November 2017
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Title
Production of poly-γ-glutamic acid by a thermotolerant glutamate-independent strain and comparative analysis of the glutamate dependent difference
Published in
AMB Express, November 2017
DOI 10.1186/s13568-017-0512-0
Pubmed ID
Authors

Wei Zeng, Guiguang Chen, Ye Guo, Bin Zhang, Mengna Dong, Yange Wu, Jun Wang, Zhiqun Che, Zhiqun Liang

Abstract

Poly-γ-glutamic acid (γ-PGA) is a promising microbial polymer with wide applications in industry, agriculture and medicine. In this study, a novel glutamate-independent γ-PGA producing strain with thermotolerant characteristics was isolated and identified as Bacillus subtilis GXG-5, then its product was also characterized. The fermentation process was optimized by single-factor tests, and results showed that high temperature (50 °C) was especially suitable for the γ-PGA production by GXG-5. The γ-PGA yield reached 19.50 ± 0.75 g/L with substrate conversion efficiency of 78% at 50 °C in 10 L fermentor. Comparison of GXG-5 and GXA-28 (glutamate-dependent strain) under respective optimal fermentation conditions, the γ-PGA yield of GXG-5 was 19.0% higher than that of GXA-28, and GXG-5 was also superior to GXA-28 in the availability of carbon sources and substrates. Furthermore, the glutamate dependent difference between GXA-28 and GXG-5 was analyzed by genomic sequencing, results indicated that genes related to the glutamate dependent difference mainly involved in carbohydrate transport and metabolism and amino acid metabolism, and 13 genes related to γ-PGA synthesis were mutated in GXG-5. This study provided a potential glutamate-independent strain to replace glutamate-dependent strain for γ-PGA production, and shared novel information for understanding the glutamate dependent difference at the genomic level.

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Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 3 15%
Student > Ph. D. Student 3 15%
Researcher 3 15%
Student > Master 3 15%
Professor 1 5%
Other 0 0%
Unknown 7 35%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 7 35%
Agricultural and Biological Sciences 2 10%
Immunology and Microbiology 2 10%
Chemical Engineering 1 5%
Medicine and Dentistry 1 5%
Other 0 0%
Unknown 7 35%
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 25 November 2017.
All research outputs
#15,483,707
of 23,008,860 outputs
Outputs from AMB Express
#447
of 1,240 outputs
Outputs of similar age
#265,380
of 438,185 outputs
Outputs of similar age from AMB Express
#19
of 43 outputs
Altmetric has tracked 23,008,860 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 1,240 research outputs from this source. They receive a mean Attention Score of 2.8. This one is in the 40th percentile – i.e., 40% 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 438,185 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 43 others from the same source and published within six weeks on either side of this one. This one is in the 6th percentile – i.e., 6% of its contemporaries scored the same or lower than it.