| Title |
Establishing an efficient gene-targeting system in an itaconic-acid producing Aspergillus terreus strain
|
|---|---|
| Published in |
Biotechnology Techniques, June 2016
|
| DOI | 10.1007/s10529-016-2143-y |
| Pubmed ID | |
| Authors |
Xuenian Huang, Mei Chen, Jianjun Li, Xuefeng Lu |
| Abstract |
To develop an efficient gene-targeting platform in an excellent itaconic acid producing strain Aspergillus terreus CICC40205. The frequency of homologous recombination was improved by deleting the ku80 gene. A nutritional transformation system based on the bidirectionally selectable marker, pyrG An , was established in the ku80-/pyrG-double mutant which is convenient for following marker rescue. The modified Cre/loxP recombination system was applied for the excision of the pyrG An marker by directly introducing Cre recombinase into the protoplasts. This gene-targeting system is an efficient platform for sequential and multiple genetic modifications in A. terreus and is conducive to study biosynthesis mechanisms and to improve the production ability of itaconic acid and other products. |
Mendeley readers
The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 25 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 5 | 20% |
| Student > Master | 3 | 12% |
| Student > Bachelor | 2 | 8% |
| Student > Doctoral Student | 2 | 8% |
| Student > Ph. D. Student | 2 | 8% |
| Other | 4 | 16% |
| Unknown | 7 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 8 | 32% |
| Agricultural and Biological Sciences | 7 | 28% |
| Chemical Engineering | 1 | 4% |
| Engineering | 1 | 4% |
| Unknown | 8 | 32% |
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 20 June 2017.
All research outputs
#4,836,164
of 25,374,917 outputs
Outputs from Biotechnology Techniques
#241
of 2,762 outputs
Outputs of similar age
#77,962
of 354,133 outputs
Outputs of similar age from Biotechnology Techniques
#2
of 30 outputs
Altmetric has tracked 25,374,917 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 2,762 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done particularly well, scoring higher than 91% 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 354,133 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 76% of its contemporaries.
We're also able to compare this research output to 30 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.