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The amyR-deletion strain of Aspergillus niger CICC2462 is a suitable host strain to express secreted protein with a low background

Overview of attention for article published in Microbial Cell Factories, April 2016
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Title
The amyR-deletion strain of Aspergillus niger CICC2462 is a suitable host strain to express secreted protein with a low background
Published in
Microbial Cell Factories, April 2016
DOI 10.1186/s12934-016-0463-1
Pubmed ID
Authors

Hui Zhang, Shuang Wang, Xiang xiang Zhang, Wei Ji, Fuping Song, Yue Zhao, Jie Li

Abstract

The filamentous fungus Aspergillus niger is widely exploited as an important expression host for industrial production. The glucoamylase high-producing strain A. niger CICC2462 has been used as a host strain for the establishment of a secretion expression system. It expresses recombinant xylanase, mannase and asparaginase at a high level, but some high secretory background proteins in these recombinant strains still remain, such as alpha-amylase and alpha-glucosidase; lead to a low-purity of fermentation products. The aim was to construct an A. niger host strain with a low background of protein secretion. The transcription factor amyR was deleted in A. niger CICC2462, and the results from enzyme activity assays and SDS-PAGE analysis showed that the glucoamylase and amylase activities of the ∆amyR strains were significantly lower than those of the wild-type strain. High-throughput RNA-sequencing and shotgun LC-MS/MS proteomic technology analysis demonstrated that the expression of amylolytic enzymes was decreased at both the transcriptional and translational levels in the ∆amyR strain. Interestingly, the ∆amyR strain growth rate better than the wild-type strain. Our findings clearly indicated that the ∆amyR strain of A. niger CICC2462 can be used as a host strain with a low background of protein secretion.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 48 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 14 29%
Student > Bachelor 11 23%
Researcher 8 17%
Student > Ph. D. Student 7 15%
Other 2 4%
Other 3 6%
Unknown 3 6%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 23 48%
Agricultural and Biological Sciences 16 33%
Chemical Engineering 1 2%
Social Sciences 1 2%
Medicine and Dentistry 1 2%
Other 1 2%
Unknown 5 10%

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 30 April 2016.
All research outputs
#6,602,293
of 7,628,277 outputs
Outputs from Microbial Cell Factories
#421
of 531 outputs
Outputs of similar age
#223,045
of 266,354 outputs
Outputs of similar age from Microbial Cell Factories
#33
of 40 outputs
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