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Poly-l-gamma-glutamic acid production by recombinant Bacillus subtilis without pgsA gene

Overview of attention for article published in AMB Express, July 2018
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Title
Poly-l-gamma-glutamic acid production by recombinant Bacillus subtilis without pgsA gene
Published in
AMB Express, July 2018
DOI 10.1186/s13568-018-0636-x
Pubmed ID
Authors

Kazuhisa Sawada, Hiroyuki Araki, Yasushi Takimura, Kenta Masuda, Yasushi Kageyama, Katsuya Ozaki, Hiroshi Hagihara

Abstract

Poly-gamma-glutamic acid (PGA) is a promising bio-based polymer that shares many functions with poly (acrylic acid) and its derivatives. Thus, technologies for efficient production and molecular size control of PGA are required to expand the application of this useful biopolymer. In Bacillus strains, PGA is synthesized by the PgsBCA protein complex, which is encoded by the pgsBCA gene operon, otherwise is known as ywsC and ywtAB operons and/or capBCA operon. Hence, we investigated responsible components of the PgsBCA complex in B. subtilis for over-production of PGA. In particular, we constructed genomic pgsBCA gene-deletion mutants of B. subtilis. And also, we assembled high copy-number plasmids harboring σA-dependent promoter, leading to high-level expression of all combinations of pgsBCA, pgsBC, pgsBA, pgsCA, pgsB, pgsC, and/or pgsA genes. Subsequently, PGA production of the transformed B. subtilis mutant was determined in batch fermentation using medium supplemented with L-glutamate. PGA production by the transformants introduced with pgsBC genes (lacking the genomic pgsBCA genes) was 26.0 ± 3.0 g L-1, and the enantiomeric ratio of D- and L-glutamic acid (D/L-ratio) in the produced PGA was 5/95. In contrast, D/L-ratio of produced PGA by the transformants introduced with pgsBCA genes (control strains) was 75/25. In conclusion, B. subtilis without pgsA gene could over-produce PGA with an L-rich enantiomeric ratio.

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Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 21%
Student > Bachelor 2 11%
Researcher 2 11%
Student > Doctoral Student 1 5%
Lecturer 1 5%
Other 4 21%
Unknown 5 26%
Readers by discipline Count As %
Agricultural and Biological Sciences 6 32%
Biochemistry, Genetics and Molecular Biology 3 16%
Chemical Engineering 2 11%
Immunology and Microbiology 2 11%
Unknown 6 32%
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 05 July 2018.
All research outputs
#20,525,274
of 23,094,276 outputs
Outputs from AMB Express
#976
of 1,245 outputs
Outputs of similar age
#287,390
of 327,912 outputs
Outputs of similar age from AMB Express
#27
of 50 outputs
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