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A novel transcription factor specifically regulates GH11 xylanase genes in Trichoderma reesei

Overview of attention for article published in Biotechnology for Biofuels and Bioproducts, August 2017
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  • Good Attention Score compared to outputs of the same age (69th percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

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2 X users
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Title
A novel transcription factor specifically regulates GH11 xylanase genes in Trichoderma reesei
Published in
Biotechnology for Biofuels and Bioproducts, August 2017
DOI 10.1186/s13068-017-0878-x
Pubmed ID
Authors

Rui Liu, Ling Chen, Yanping Jiang, Gen Zou, Zhihua Zhou

Abstract

The filamentous fungus Trichoderma reesei is widely utilized in industry for cellulase production, but its xylanase activity must be improved to enhance the accessibility of lignocellulose to cellulases. Several transcription factors play important roles in this progress; however, nearly all the reported transcription factors typically target both cellulase and hemi-cellulase genes. Specific xylanase transcription factor would be useful to regulate xylanase activity directly. In this study, a novel zinc binuclear cluster transcription factor (jgi|Trire2|123881) was found to repress xylanase activity, but not cellulase activity, and was designated as SxlR (specialized xylanase regulator). Further investigations using real-time PCR and an electrophoretic mobility shift assay demonstrated that SxlR might bind the promoters of GH11 xylanase genes (xyn1, xyn2, and xyn5), but not those of GH10 (xyn3) and GH30 (xyn4) xylanase genes, and thus regulate their transcription and expression directly. We also identified the binding consensus sequence of SxlR as 5'- CATCSGSWCWMSA-3'. The deletion of SxlR in T. reesei RUT-C30 to generate the mutant ∆sxlr strain resulted in higher xylanase activity as well as higher hydrolytic efficiency on pretreated rice straw. Our study characterizes a novel specific transcriptional repressor of GH11 xylanase genes, which adds to our understanding of the regulatory system for the synthesis and secretion of cellulase and hemi-cellulase in T. reesei. The deletion of SxlR may also help to improve the hydrolytic efficiency of T. reesei for lignocellulose degradation by increasing the xylanase-to-cellulase ratio.

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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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 67 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 19%
Researcher 11 16%
Student > Bachelor 8 12%
Student > Master 6 9%
Student > Doctoral Student 4 6%
Other 9 13%
Unknown 16 24%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 31 46%
Agricultural and Biological Sciences 11 16%
Chemical Engineering 3 4%
Pharmacology, Toxicology and Pharmaceutical Science 1 1%
Psychology 1 1%
Other 1 1%
Unknown 19 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 02 January 2020.
All research outputs
#6,755,994
of 25,382,440 outputs
Outputs from Biotechnology for Biofuels and Bioproducts
#421
of 1,578 outputs
Outputs of similar age
#98,512
of 327,246 outputs
Outputs of similar age from Biotechnology for Biofuels and Bioproducts
#12
of 50 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 1,578 research outputs from this source. They receive a mean Attention Score of 4.9. This one has gotten more attention than average, scoring higher than 72% 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 327,246 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.
We're also able to compare this research output to 50 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.