| Title |
A new regulator of cellulase and xylanase in the thermophilic fungus Myceliophthora thermophila strain ATCC 42464
|
|---|---|
| Published in |
3 Biotech, March 2018
|
| DOI | 10.1007/s13205-017-1069-y |
| Pubmed ID | |
| Authors |
Juan Wang, Yanfen Gong, Shengming Zhao, Gang Liu |
| Abstract |
Myceliophthora thermophila (ATCC 42464) is a thermophilic fungus that produces cellulolytic enzymes with high thermal stability. Unlike its mesophile counterparts, study on gene expression regulation of cellulolytic enzymes inM. thermophilais inadequate. This work identified the function of MHR1, a putative transcription regulator of cellulolytic enzymes inM. thermophilathat was found through RNA-Seq based gene expression profile analysis. RNA interference was used to study the role of MHR1. A recombinant plasmid, pUC19-Ppdc-mhr1-Tpdc, which contained the RNAi sequence formhr1was constructed and transformed intoM. thermophila. One of the transformants, MtR5, in which the RNA interference efficiency was the highest, was used for the following studies. In themhr1-silenced strain MtR5, the filter paper hydrolyzing activity was 1.33-fold; β-1, 4-endoglucanase activity was 1.65-fold; and xylanase activity was 1.48-fold higher than those of the parental strain after induction, respectively, by wheat straw powder. qRT-PCR showed that gene expression ofcbh1,cbh2,egl3andxyr1were 9.56-, 37.36-, 56.14- and 28.30-fold higher in MtR5 than in wild type, respectively. Our findings suggest that the transcription factor MHR1 ofM. thermophilacan repress cellulase and xylanase activities. Silencedmhr1results in increased expression not only of the main cellulase genes, but also of the positive regulatory genexyr1. This work is relevant to the development ofM. thermophilaas an industrial production host for cellulolytic and hemicellulolytic enzymes, which could be used to degrade a wide range of different biomass, converting lignocellulosic feedstock into sugar precursors for biofuels. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 30 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 23% |
| Student > Master | 5 | 17% |
| Researcher | 4 | 13% |
| Student > Bachelor | 3 | 10% |
| Professor | 2 | 7% |
| Other | 3 | 10% |
| Unknown | 6 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 8 | 27% |
| Agricultural and Biological Sciences | 8 | 27% |
| Engineering | 2 | 7% |
| Chemical Engineering | 1 | 3% |
| Veterinary Science and Veterinary Medicine | 1 | 3% |
| Other | 2 | 7% |
| Unknown | 8 | 27% |
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 13 March 2018.
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#18,590,133
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Outputs from 3 Biotech
#646
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Outputs of similar age from 3 Biotech
#23
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