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Construction of an improved Aspergillus niger platform for enhanced glucoamylase secretion

Overview of attention for article published in Microbial Cell Factories, June 2018
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  • High Attention Score compared to outputs of the same age and source (85th percentile)

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Title
Construction of an improved Aspergillus niger platform for enhanced glucoamylase secretion
Published in
Microbial Cell Factories, June 2018
DOI 10.1186/s12934-018-0941-8
Pubmed ID
Authors

Markus R. M. Fiedler, Lars Barthel, Christin Kubisch, Corrado Nai, Vera Meyer

Abstract

The lifestyle of filamentous fungi depends on the secretion of hydrolytic enzymes into the surrounding medium, which degrade polymeric substances into monomers that are then taken up to sustain metabolism. This feature has been exploited in biotechnology to establish platform strains with high secretory capacity including Aspergillus niger. The accepted paradigm is that proteins become mainly secreted at the tips of fungal hyphae. However, it is still a matter of debate if the amount of growing hyphal tips in filamentous fungi correlates with an increase in secretion, with previous studies showing either a positive or no correlation. Here, we followed a systematic approach to study protein secretion in A. niger. First, we put the glaA gene encoding for glucoamylase (GlaA), the most abundant secreted protein of A. niger, under control of the tunable Tet-on system. Regulation of glaA gene expression by omitting or adding the inducer doxycycline to cultivation media allowed us to study the effect of glaA under- or overexpression in the same isolate. By inducing glaA expression in a fluorescently tagged v-SNARE reporter strain expressing GFP-SncA, we could demonstrate that the amount of post-Golgi carriers indeed depends on and correlates with glaA gene expression. By deleting the racA gene, encoding the Rho-GTPase RacA in this isolate, we generated a strain which is identical to the parental strain with respect to biomass formation but produces about 20% more hyphal tips. This hyperbranching phenotype caused a more compact macromorphology in shake flask cultivations. When ensuring continuous high-level expression of glaA by repeated addition of doxycycline, this hyperbranching strain secreted up to four times more GlaA into the culture medium compared to its parental strain. The data obtained in this study strongly indicate that A. niger responds to forced transcription of secretory enzymes with increased formation of post-Golgi carriers to efficiently accommodate the incoming cargo load. This physiological adaptation can be rationally exploited to generate hypersecretion platforms based on a hyperbranching phenotype. We propose that a racA deletion background serves as an excellent chassis for such hypersecretion strains.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 100 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 100 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 20 20%
Student > Ph. D. Student 14 14%
Researcher 13 13%
Student > Master 12 12%
Student > Postgraduate 3 3%
Other 7 7%
Unknown 31 31%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 42 42%
Agricultural and Biological Sciences 11 11%
Chemical Engineering 2 2%
Unspecified 1 1%
Pharmacology, Toxicology and Pharmaceutical Science 1 1%
Other 7 7%
Unknown 36 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 29 July 2021.
All research outputs
#5,805,700
of 23,090,520 outputs
Outputs from Microbial Cell Factories
#376
of 1,618 outputs
Outputs of similar age
#91,920
of 301,972 outputs
Outputs of similar age from Microbial Cell Factories
#4
of 28 outputs
Altmetric has tracked 23,090,520 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 1,618 research outputs from this source. They receive a mean Attention Score of 4.4. This one has done well, scoring higher than 76% 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 301,972 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.
We're also able to compare this research output to 28 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.