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Recent advances in genome mining of secondary metabolite biosynthetic gene clusters and the development of heterologous expression systems in Aspergillus nidulans

Overview of attention for article published in Journal of Industrial Microbiology & Biotechnology, February 2014
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Title
Recent advances in genome mining of secondary metabolite biosynthetic gene clusters and the development of heterologous expression systems in Aspergillus nidulans
Published in
Journal of Industrial Microbiology & Biotechnology, February 2014
DOI 10.1007/s10295-013-1386-z
Pubmed ID
Authors

Junko Yaegashi, Berl R Oakley, Clay C C Wang

Abstract

Fungi are prolific producers of secondary metabolites (SMs) that show a variety of biological activities. Recent advances in genome sequencing have shown that fungal genomes harbor far more SM gene clusters than are expressed under conventional laboratory conditions. Activation of these "silent" gene clusters is a major challenge, and many approaches have been taken to attempt to activate them and, thus, unlock the vast treasure chest of fungal SMs. This review will cover recent advances in genome mining of SMs in Aspergillus nidulans. We will also discuss current updates in gene annotation of A. nidulans and recent developments in A. nidulans as a molecular genetic system, both of which are essential for rapid and efficient experimental verification of SM gene clusters on a genome-wide scale. Finally, we will describe advances in the use of A. nidulans as a heterologous expression system to aid in the analysis of SM gene clusters from other fungal species that do not have an established molecular genetic system.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 142 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Denmark 2 1%
Germany 1 <1%
France 1 <1%
Turkey 1 <1%
Brazil 1 <1%
United States 1 <1%
Unknown 135 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 31 22%
Researcher 25 18%
Student > Bachelor 19 13%
Student > Master 18 13%
Student > Doctoral Student 12 8%
Other 15 11%
Unknown 22 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 56 39%
Biochemistry, Genetics and Molecular Biology 40 28%
Chemistry 12 8%
Pharmacology, Toxicology and Pharmaceutical Science 3 2%
Chemical Engineering 1 <1%
Other 4 3%
Unknown 26 18%
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 17 January 2014.
All research outputs
#22,759,802
of 25,374,917 outputs
Outputs from Journal of Industrial Microbiology & Biotechnology
#1,453
of 1,612 outputs
Outputs of similar age
#282,808
of 322,720 outputs
Outputs of similar age from Journal of Industrial Microbiology & Biotechnology
#30
of 31 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,612 research outputs from this source. They receive a mean Attention Score of 4.4. This one is in the 1st percentile – i.e., 1% 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 322,720 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 31 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.