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Understanding the Role of the Master Regulator XYR1 in Trichoderma reesei by Global Transcriptional Analysis

Overview of attention for article published in Frontiers in Microbiology, February 2016
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Title
Understanding the Role of the Master Regulator XYR1 in Trichoderma reesei by Global Transcriptional Analysis
Published in
Frontiers in Microbiology, February 2016
DOI 10.3389/fmicb.2016.00175
Pubmed ID
Authors

Lilian dos Santos Castro, Renato G. de Paula, Amanda C. C. Antoniêto, Gabriela F. Persinoti, Rafael Silva-Rocha, Roberto N. Silva

Abstract

We defined the role of the transcriptional factor-XYR1-in the filamentous fungus Trichoderma reesei during cellulosic material degradation. In this regard, we performed a global transcriptome analysis using RNA-Seq of the Δxyr1 mutant strain of T. reesei compared with the parental strain QM9414 grown in the presence of cellulose, sophorose, and glucose as sole carbon sources. We found that 5885 genes were expressed differentially under the three tested carbon sources. Of these, 322 genes were upregulated in the presence of cellulose, while 367 and 188 were upregulated in sophorose and glucose, respectively. With respect to genes under the direct regulation of XYR1, 30 and 33 are exclusive to cellulose and sophorose, respectively. The most modulated genes in the Δxyr1 belong to Carbohydrate-Active Enzymes (CAZymes), transcription factors, and transporters families. Moreover, we highlight the downregulation of transporters belonging to the MFS and ABC transporter families. Of these, MFS members were mostly downregulated in the presence of cellulose. In sophorose and glucose, the expression of these transporters was mainly upregulated. Our results revealed that MFS and ABC transporters could be new players in cellulose degradation and their role was shown to be carbon source-dependent. Our findings contribute to a better understanding of the regulatory mechanisms of XYR1 to control cellulase gene expression in T. reesei in the presence of cellulosic material, thereby potentially enhancing its application in several biotechnology fields.

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 115 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Philippines 1 <1%
Unknown 114 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 19 17%
Student > Ph. D. Student 15 13%
Student > Master 14 12%
Student > Doctoral Student 12 10%
Student > Bachelor 12 10%
Other 11 10%
Unknown 32 28%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 43 37%
Agricultural and Biological Sciences 25 22%
Nursing and Health Professions 2 2%
Chemical Engineering 2 2%
Immunology and Microbiology 2 2%
Other 7 6%
Unknown 34 30%
Attention Score in Context

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 26 February 2016.
All research outputs
#17,787,961
of 22,849,304 outputs
Outputs from Frontiers in Microbiology
#17,217
of 24,849 outputs
Outputs of similar age
#202,368
of 297,534 outputs
Outputs of similar age from Frontiers in Microbiology
#369
of 535 outputs
Altmetric has tracked 22,849,304 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 24,849 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one is in the 22nd percentile – i.e., 22% of its peers scored the same or lower than it.
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 297,534 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 535 others from the same source and published within six weeks on either side of this one. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.