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Linking secondary metabolites to gene clusters through genome sequencing of six diverse Aspergillus species

Overview of attention for article published in Proceedings of the National Academy of Sciences of the United States of America, January 2018
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (96th percentile)
  • Good Attention Score compared to outputs of the same age and source (74th percentile)

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6 news outlets
blogs
1 blog
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30 X users
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2 Facebook pages

Citations

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116 Dimensions

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252 Mendeley
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Title
Linking secondary metabolites to gene clusters through genome sequencing of six diverse Aspergillus species
Published in
Proceedings of the National Academy of Sciences of the United States of America, January 2018
DOI 10.1073/pnas.1715954115
Pubmed ID
Authors

Inge Kjærbølling, Tammi C. Vesth, Jens C. Frisvad, Jane L. Nybo, Sebastian Theobald, Alan Kuo, Paul Bowyer, Yudai Matsuda, Stephen Mondo, Ellen K. Lyhne, Martin E. Kogle, Alicia Clum, Anna Lipzen, Asaf Salamov, Chew Yee Ngan, Chris Daum, Jennifer Chiniquy, Kerrie Barry, Kurt LaButti, Sajeet Haridas, Blake A. Simmons, Jon K. Magnuson, Uffe H. Mortensen, Thomas O. Larsen, Igor V. Grigoriev, Scott E. Baker, Mikael R. Andersen

Abstract

The fungal genus of Aspergillus is highly interesting, containing everything from industrial cell factories, model organisms, and human pathogens. In particular, this group has a prolific production of bioactive secondary metabolites (SMs). In this work, four diverse Aspergillus species (A. campestris, A. novofumigatus, A. ochraceoroseus, and A. steynii) have been whole-genome PacBio sequenced to provide genetic references in three Aspergillus sections. A. taichungensis and A. candidus also were sequenced for SM elucidation. Thirteen Aspergillus genomes were analyzed with comparative genomics to determine phylogeny and genetic diversity, showing that each presented genome contains 15-27% genes not found in other sequenced Aspergilli. In particular, A. novofumigatus was compared with the pathogenic species A. fumigatus This suggests that A. novofumigatus can produce most of the same allergens, virulence, and pathogenicity factors as A. fumigatus, suggesting that A. novofumigatus could be as pathogenic as A. fumigatus Furthermore, SMs were linked to gene clusters based on biological and chemical knowledge and analysis, genome sequences, and predictive algorithms. We thus identify putative SM clusters for aflatoxin, chlorflavonin, and ochrindol in A. ochraceoroseus, A. campestris, and A. steynii, respectively, and novofumigatonin, ent-cycloechinulin, and epi-aszonalenins in A. novofumigatus Our study delivers six fungal genomes, showing the large diversity found in the Aspergillus genus; highlights the potential for discovery of beneficial or harmful SMs; and supports reports of A. novofumigatus pathogenicity. It also shows how biological, biochemical, and genomic information can be combined to identify genes involved in the biosynthesis of specific SMs.

X Demographics

X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 252 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 252 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 64 25%
Researcher 37 15%
Student > Master 26 10%
Student > Bachelor 23 9%
Student > Doctoral Student 15 6%
Other 37 15%
Unknown 50 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 86 34%
Biochemistry, Genetics and Molecular Biology 56 22%
Chemistry 17 7%
Immunology and Microbiology 10 4%
Chemical Engineering 4 2%
Other 21 8%
Unknown 58 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 62. 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 19 December 2018.
All research outputs
#656,847
of 24,625,114 outputs
Outputs from Proceedings of the National Academy of Sciences of the United States of America
#11,246
of 101,438 outputs
Outputs of similar age
#15,714
of 453,429 outputs
Outputs of similar age from Proceedings of the National Academy of Sciences of the United States of America
#251
of 995 outputs
Altmetric has tracked 24,625,114 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 101,438 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 38.8. This one has done well, scoring higher than 88% 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 453,429 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% of its contemporaries.
We're also able to compare this research output to 995 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.