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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Fungal artificial chromosomes for mining of the fungal secondary metabolome
|
|---|---|
| Published in |
BMC Genomics, April 2015
|
| DOI | 10.1186/s12864-015-1561-x |
| Pubmed ID | |
| Authors |
Jin Woo Bok, Rosa Ye, Kenneth D Clevenger, David Mead, Megan Wagner, Amanda Krerowicz, Jessica C Albright, Anthony W Goering, Paul M Thomas, Neil L Kelleher, Nancy P Keller, Chengcang C Wu |
| Abstract |
With thousands of fungal genomes being sequenced, each genome containing up to 70 secondary metabolite (SM) clusters 30-80 kb in size, breakthrough techniques are needed to characterize this SM wealth. Here we describe a novel system-level methodology for unbiased cloning of intact large SM clusters from a single fungal genome for one-step transformation and expression in a model host. All 56 intact SM clusters from Aspergillus terreus were individually captured in self-replicating fungal artificial chromosomes (FACs) containing both the E. coli F replicon and an Aspergillus autonomously replicating sequence (AMA1). Candidate FACs were successfully shuttled between E. coli and the heterologous expression host A. nidulans. As proof-of-concept, an A. nidulans FAC strain was characterized in a novel liquid chromatography-high resolution mass spectrometry (LC-HRMS) and data analysis pipeline, leading to the discovery of the A. terreus astechrome biosynthetic machinery. The method we present can be used to capture the entire set of intact SM gene clusters and/or pathways from fungal species for heterologous expression in A. nidulans and natural product discovery. |
X Demographics
The data shown below were collected from the profiles of 13 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 31% |
| United Kingdom | 2 | 15% |
| Unknown | 7 | 54% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 9 | 69% |
| Members of the public | 3 | 23% |
| Science communicators (journalists, bloggers, editors) | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 166 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Denmark | 1 | <1% |
| South Africa | 1 | <1% |
| Australia | 1 | <1% |
| Unknown | 163 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 44 | 27% |
| Researcher | 32 | 19% |
| Student > Master | 18 | 11% |
| Student > Bachelor | 15 | 9% |
| Student > Doctoral Student | 11 | 7% |
| Other | 19 | 11% |
| Unknown | 27 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 51 | 31% |
| Biochemistry, Genetics and Molecular Biology | 47 | 28% |
| Chemistry | 12 | 7% |
| Chemical Engineering | 9 | 5% |
| Engineering | 5 | 3% |
| Other | 13 | 8% |
| Unknown | 29 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 11 March 2016.
All research outputs
#5,005,367
of 24,378,986 outputs
Outputs from BMC Genomics
#1,996
of 10,965 outputs
Outputs of similar age
#60,194
of 268,832 outputs
Outputs of similar age from BMC Genomics
#60
of 273 outputs
Altmetric has tracked 24,378,986 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,965 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done well, scoring higher than 81% 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 268,832 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 77% of its contemporaries.
We're also able to compare this research output to 273 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.