| Title |
Enhancing saccharification of wheat straw by mixing enzymes from genetically-modified Trichoderma reesei and Aspergillus niger
|
|---|---|
| Published in |
Biotechnology Techniques, September 2015
|
| DOI | 10.1007/s10529-015-1951-9 |
| Pubmed ID | |
| Authors |
Yanping Jiang, Alexandra Vivas Duarte, Joost van den Brink, Ad Wiebenga, Gen Zou, Chengshu Wang, Ronald P. de Vries, Zhihua Zhou, Isabelle Benoit |
| Abstract |
To increase the efficiency of enzymatic hydrolysis for plant biomass conversion into renewable biofuel and chemicals. By overexpressing the point mutation A824 V transcriptional activator Xyr1 in Trichoderma reesei, carboxymethyl cellulase, cellobiosidase and β-D-glucosidase activities of the best mutant were increased from 1.8 IU/ml, 0.1 IU/ml and 0.05 IU/ml to 4.8 IU/ml, 0.4 IU/ml and 0.3 IU/ml, respectively. The sugar yield of wheat straw saccharification by combining enzymes from this mutant and the Aspergillus niger genetically modified strain ΔcreA/xlnR c/araR c was improved up to 7.5 mg/ml, a 229 % increase compared to the combination of wild type strains. Mixing enzymes from T. reesei and A. niger combined with the genetic modification of transcription factors is a promising strategy to increase saccharification efficiency. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| China | 1 | 2% |
| Unknown | 56 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 16% |
| Student > Master | 8 | 14% |
| Researcher | 7 | 12% |
| Professor | 5 | 9% |
| Student > Bachelor | 5 | 9% |
| Other | 10 | 18% |
| Unknown | 13 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 15 | 26% |
| Agricultural and Biological Sciences | 14 | 25% |
| Environmental Science | 3 | 5% |
| Engineering | 2 | 4% |
| Computer Science | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 21 | 37% |
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 12 September 2015.
All research outputs
#20,655,488
of 25,373,627 outputs
Outputs from Biotechnology Techniques
#2,353
of 2,762 outputs
Outputs of similar age
#205,230
of 279,887 outputs
Outputs of similar age from Biotechnology Techniques
#18
of 30 outputs
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