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Transposon-based identification of a negative regulator for the antibiotic hyper-production in Streptomyces

Overview of attention for article published in Applied Microbiology and Biotechnology, June 2018
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  • Good Attention Score compared to outputs of the same age (66th percentile)
  • Good Attention Score compared to outputs of the same age and source (74th percentile)

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Title
Transposon-based identification of a negative regulator for the antibiotic hyper-production in Streptomyces
Published in
Applied Microbiology and Biotechnology, June 2018
DOI 10.1007/s00253-018-9103-5
Pubmed ID
Authors

Shuai Luo, Xin-Ai Chen, Xu-Ming Mao, Yong-Quan Li

Abstract

Production of secondary metabolites in Streptomyces is regulated by a complex regulatory network precisely, elaborately, and hierarchically. One of the main reasons for the low yields of some high-value secondary metabolites is the repressed expression of their biosynthetic gene clusters, supposedly by some gene cluster out-situated negative regulators. Identification of these repressors and removal of the inhibitory effects based on the regulatory mechanisms will be an effective way to improve their yields. For proof of the concept, using an antibiotic daptomycin from Streptomyces roseosporus, we introduced Himar1-based random mutagenesis combined with a reporter-guided screening strategy to identify a transcriptional regulator PhaR, whose loss-of-function deletion led to about 2.68-fold increase of the gene cluster expression and approximately 6.14-fold or 43% increased daptomycin production in the flask fermentation or in the fed-batch fermentation, respectively. Further study showed that PhaR negatively regulates the expression of daptomycin biosynthetic gene cluster by direct binding to its promoter (dptEp). Moreover, phaR expression gradually drops down during fermentation, and PhaR is positively auto-regulated by directly binding to its own promoter, which results in positive feedback regulation to persistently reduce phaR expression. Meanwhile, the declining PhaR protein remove its repressive effects during daptomycin production. All these results support that our strategy would be a powerful method for genetic screening and rational engineering for the yield improvement of antibiotics, and could be potentially used widely in other Streptomyces species.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 3 14%
Student > Master 3 14%
Student > Ph. D. Student 3 14%
Researcher 3 14%
Professor 1 5%
Other 1 5%
Unknown 7 33%
Readers by discipline Count As %
Agricultural and Biological Sciences 6 29%
Biochemistry, Genetics and Molecular Biology 5 24%
Pharmacology, Toxicology and Pharmaceutical Science 1 5%
Environmental Science 1 5%
Materials Science 1 5%
Other 0 0%
Unknown 7 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 14 November 2019.
All research outputs
#6,616,865
of 24,119,703 outputs
Outputs from Applied Microbiology and Biotechnology
#2,336
of 8,034 outputs
Outputs of similar age
#110,454
of 333,472 outputs
Outputs of similar age from Applied Microbiology and Biotechnology
#40
of 159 outputs
Altmetric has tracked 24,119,703 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 8,034 research outputs from this source. They receive a mean Attention Score of 4.3. This one has gotten more attention than average, scoring higher than 70% 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 333,472 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 66% of its contemporaries.
We're also able to compare this research output to 159 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.