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ATNT: an enhanced system for expression of polycistronic secondary metabolite gene clusters in Aspergillus niger

Overview of attention for article published in Fungal Biology and Biotechnology, December 2017
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Title
ATNT: an enhanced system for expression of polycistronic secondary metabolite gene clusters in Aspergillus niger
Published in
Fungal Biology and Biotechnology, December 2017
DOI 10.1186/s40694-017-0042-1
Pubmed ID
Authors

Elena Geib, Matthias Brock

Abstract

Fungi are treasure chests for yet unexplored natural products. However, exploitation of their real potential remains difficult as a significant proportion of biosynthetic gene clusters appears silent under standard laboratory conditions. Therefore, elucidation of novel products requires gene activation or heterologous expression. For heterologous gene expression, we previously developed an expression platform in Aspergillus niger that is based on the transcriptional regulator TerR and its target promoter PterA. In this study, we extended this system by regulating expression of terR by the doxycycline inducible Tet-on system. Reporter genes cloned under the control of the target promoter PterA remained silent in the absence of doxycycline, but were strongly expressed when doxycycline was added. Reporter quantification revealed that the coupled system results in about five times higher expression rates compared to gene expression under direct control of the Tet-on system. As production of secondary metabolites generally requires the expression of several biosynthetic genes, the suitability of the self-cleaving viral peptide sequence P2A was tested in this optimised expression system. P2A allowed polycistronic expression of genes required for Asp-melanin formation in combination with the gene coding for the red fluorescent protein tdTomato. Gene expression and Asp-melanin formation was prevented in the absence of doxycycline and strongly induced by addition of doxycycline. Fluorescence studies confirmed the correct subcellular localisation of the respective enzymes. This tightly regulated but strongly inducible expression system enables high level production of secondary metabolites most likely even those with toxic potential. Furthermore, this system is compatible with polycistronic gene expression and, thus, suitable for the discovery of novel natural products.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 64 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 17%
Researcher 11 17%
Student > Master 7 11%
Student > Bachelor 6 9%
Student > Doctoral Student 2 3%
Other 5 8%
Unknown 22 34%
Readers by discipline Count As %
Agricultural and Biological Sciences 15 23%
Biochemistry, Genetics and Molecular Biology 13 20%
Immunology and Microbiology 3 5%
Chemistry 3 5%
Nursing and Health Professions 1 2%
Other 4 6%
Unknown 25 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 20 December 2017.
All research outputs
#14,832,856
of 23,012,811 outputs
Outputs from Fungal Biology and Biotechnology
#110
of 143 outputs
Outputs of similar age
#251,064
of 440,404 outputs
Outputs of similar age from Fungal Biology and Biotechnology
#5
of 5 outputs
Altmetric has tracked 23,012,811 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 143 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one is in the 21st percentile – i.e., 21% 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 440,404 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one.