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Genomics insights into different cellobiose hydrolysis activities in two Trichoderma hamatum strains

Overview of attention for article published in Microbial Cell Factories, April 2017
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Title
Genomics insights into different cellobiose hydrolysis activities in two Trichoderma hamatum strains
Published in
Microbial Cell Factories, April 2017
DOI 10.1186/s12934-017-0680-2
Pubmed ID
Authors

Peng Cheng, Bo Liu, Yi Su, Yao Hu, Yahui Hong, Xinxin Yi, Lei Chen, Shengying Su, Jeffrey S. C. Chu, Nansheng Chen, Xingyao Xiong

Abstract

Efficient biomass bioconversion is a promising solution to alternative energy resources and environmental issues associated with lignocellulosic wastes. The Trichoderma species of cellulolytic fungi have strong cellulose-degrading capability, and their cellulase systems have been extensively studied. Currently, a major limitation of Trichoderma strains is their low production of β-glucosidases. We isolated two Trichoderma hamatum strains YYH13 and YYH16 with drastically different cellulose degrading efficiencies. YYH13 has higher cellobiose-hydrolyzing efficiency. To understand mechanisms underlying such differences, we sequenced the genomes of YYH13 and YYH16, which are essentially identical (38.93 and 38.92 Mb, respectively) and are similar to that of the T. hamatum strain GD12. Using GeneMark-ES, we annotated 11,316 and 11,755 protein-coding genes in YYH13 and YYH16, respectively. Comparative analysis identified 13 functionally important genes in YYH13 under positive selection. Through examining orthologous relationships, we identified 172,655, and 320 genome-specific genes in YYH13, YYH16, and GD12, respectively. We found 15 protease families that show differences between YYH13 and YYH16. Enzymatic tests showed that exoglucanase, endoglucanase, and β-glucosidase activities were higher in YYH13 than YYH16. Additionally, YYH13 contains 10 families of carbohydrate-active enzymes, including GH1, GH3, GH18, GH35, and GH55 families of chitinases, glucosidases, galactosidases, and glucanases, which are subject to stronger positive selection pressure. Furthermore, we found that the β-glucosidase gene (YYH1311079) and pGEX-KG/YYH1311079 bacterial expression vector may provide valuable insight for designing β-glucosidase with higher cellobiose-hydrolyzing efficiencies. This study suggests that the YYH13 strain of T. hamatum has the potential to serve as a model organism for producing cellulase because of its strong ability to efficiently degrade cellulosic biomass. The genome sequences of YYH13 and YYH16 represents a valuable resource for studying efficient production of biofuels.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Mexico 1 6%
China 1 6%
Unknown 15 88%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 5 29%
Researcher 3 18%
Student > Ph. D. Student 3 18%
Professor > Associate Professor 2 12%
Student > Master 2 12%
Other 1 6%
Unknown 1 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 7 41%
Environmental Science 2 12%
Immunology and Microbiology 2 12%
Pharmacology, Toxicology and Pharmaceutical Science 1 6%
Materials Science 1 6%
Other 0 0%
Unknown 4 24%
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 21 April 2017.
All research outputs
#20,414,746
of 22,965,074 outputs
Outputs from Microbial Cell Factories
#1,375
of 1,612 outputs
Outputs of similar age
#270,039
of 310,317 outputs
Outputs of similar age from Microbial Cell Factories
#37
of 40 outputs
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So far Altmetric has tracked 1,612 research outputs from this source. They receive a mean Attention Score of 4.4. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 40 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.