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Identification and functional characterization of novel xylose transporters from the cell factories Aspergillus niger and Trichoderma reesei

Overview of attention for article published in Biotechnology for Biofuels, July 2016
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3 tweeters

Citations

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26 Dimensions

Readers on

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89 Mendeley
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Title
Identification and functional characterization of novel xylose transporters from the cell factories Aspergillus niger and Trichoderma reesei
Published in
Biotechnology for Biofuels, July 2016
DOI 10.1186/s13068-016-0564-4
Pubmed ID
Authors

Jasper Sloothaak, Juan Antonio Tamayo-Ramos, Dorett I. Odoni, Thanaporn Laothanachareon, Christian Derntl, Astrid R. Mach-Aigner, Vitor A. P. Martins dos Santos, Peter J. Schaap

Abstract

Global climate change and fossil fuels limitations have boosted the demand for robust and efficient microbial factories for the manufacturing of bio-based products from renewable feedstocks. In this regard, efforts have been done to enhance the enzyme-secreting ability of lignocellulose-degrading fungi, aiming to improve protein yields while taking advantage of their ability to use lignocellulosic feedstocks. Access to sugars in complex polysaccharides depends not only on their release by specific hydrolytic enzymes, but also on the presence of transporters capable of effectively transporting the constituent sugars into the cell. This study aims to identify and characterize xylose transporters from Aspergillus niger and Trichoderma reesei, two fungi that have been industrially exploited for decades for the production of lignocellulose-degrading hydrolytic enzymes. A hidden Markov model for the identification of xylose transporters was developed and used to analyze the A. niger and T. reesei in silico proteomes, yielding a list of candidate xylose transporters. From this list, three A. niger (XltA, XltB and XltC) and three T. reesei (Str1, Str2 and Str3) transporters were selected, functionally validated and biochemically characterized through their expression in a Saccharomyces cerevisiae hexose transport null mutant, engineered to be able to metabolize xylose but unable to transport this sugar. All six transporters were able to support growth of the engineered yeast on xylose but varied in affinities and efficiencies in the uptake of the pentose. Amino acid sequence analysis of the selected transporters showed the presence of specific residues and motifs recently associated to xylose transporters. Transcriptional analysis of A. niger and T. reesei showed that XltA and Str1 were specifically induced by xylose and dependent on the XlnR/Xyr1 regulators, signifying a biological role for these transporters in xylose utilization. This study revealed the existence of a variety of xylose transporters in the cell factories A. niger and T. reesei. The particular substrate specificity and biochemical properties displayed by A. niger XltA and XltB suggested a possible biological role for these transporters in xylose uptake. New insights were also gained into the molecular mechanisms regulating the pentose utilization, at inducer uptake level, in these fungi. Analysis of the A. niger and T. reesei predicted transportome with the newly developed hidden Markov model showed to be an efficient approach for the identification of new xylose transporting proteins.

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 89 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Denmark 1 1%
Thailand 1 1%
Unknown 87 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 21%
Student > Master 14 16%
Student > Bachelor 13 15%
Researcher 13 15%
Student > Doctoral Student 7 8%
Other 13 15%
Unknown 10 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 33 37%
Biochemistry, Genetics and Molecular Biology 28 31%
Chemical Engineering 3 3%
Engineering 3 3%
Computer Science 2 2%
Other 7 8%
Unknown 13 15%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 25 July 2016.
All research outputs
#3,785,868
of 8,082,038 outputs
Outputs from Biotechnology for Biofuels
#279
of 666 outputs
Outputs of similar age
#118,745
of 257,313 outputs
Outputs of similar age from Biotechnology for Biofuels
#11
of 20 outputs
Altmetric has tracked 8,082,038 research outputs across all sources so far. This one has received more attention than most of these and is in the 50th percentile.
So far Altmetric has tracked 666 research outputs from this source. They receive a mean Attention Score of 4.0. This one has gotten more attention than average, scoring higher than 54% 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 257,313 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 50% of its contemporaries.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.