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Development of cellobiose-degrading ability in Yarrowia lipolytica strain by overexpression of endogenous genes

Overview of attention for article published in Biotechnology for Biofuels and Bioproducts, August 2015
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  • High Attention Score compared to outputs of the same age and source (83rd percentile)

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Title
Development of cellobiose-degrading ability in Yarrowia lipolytica strain by overexpression of endogenous genes
Published in
Biotechnology for Biofuels and Bioproducts, August 2015
DOI 10.1186/s13068-015-0289-9
Pubmed ID
Authors

Zhongpeng Guo, Sophie Duquesne, Sophie Bozonnet, Gianluca Cioci, Jean-Marc Nicaud, Alain Marty, Michael Joseph O’Donohue

Abstract

Yarrowia lipolytica, one of the most widely studied "nonconventional" oleaginous yeast species, is unable to grow on cellobiose. Engineering cellobiose-degrading ability into this yeast is a vital step towards the development of cellulolytic biocatalysts suitable for consolidated bioprocessing. In the present work, we identified six genes encoding putative β-glucosidases in the Y. lipolytica genome. To study these, homologous expression was attempted in Y. lipolytica JMY1212 Zeta. Two strains overexpressing BGL1 (YALI0F16027g) and BGL2 (YALI0B14289g) produced β-glucosidase activity and were able to degrade cellobiose, while the other four did not display any detectable activity. The two active β-glucosidases, one of which was mainly cell-associated while the other was present in the extracellular medium, were purified and characterized. The two Bgls were most active at 40-45°C and pH 4.0-4.5, and exhibited hydrolytic activity on various β-glycoside substrates. Specifically, Bgl1 displayed 12.5-fold higher catalytic efficiency on cellobiose than Bgl2. Significantly, in experiments where cellobiose or cellulose (performed in the presence of a β-glucosidase-deficient commercial cellulase cocktail produced by Trichoderma reseei) was used as carbon source for aerobic cultivation, Y. lipolytica ∆pox co-expressing BGL1 and BGL2 grew better than the Y. lipolytica strains expressing single BGLs. The specific growth rate and biomass yield of Y. lipolytica JMY1212 co-expressing BGL1 and BGL2 were 0.15 h(-1) and 0.50 g-DCW/g-cellobiose, respectively, similar to that of the control grown on glucose. We conclude that the bi-functional Y. lipolytica developed in the current study represents a vital step towards the creation of a cellulolytic yeast strain that can be used for lipid production from lignocellulosic biomass. When used in combination with commercial cellulolytic cocktails, this strain will no doubt reduce enzyme requirements and thus costs.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 2%
Unknown 59 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 25%
Researcher 11 18%
Student > Master 8 13%
Student > Doctoral Student 6 10%
Other 4 7%
Other 11 18%
Unknown 5 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 20 33%
Biochemistry, Genetics and Molecular Biology 19 32%
Chemical Engineering 2 3%
Engineering 2 3%
Business, Management and Accounting 2 3%
Other 4 7%
Unknown 11 18%
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 15 August 2018.
All research outputs
#6,875,825
of 25,374,647 outputs
Outputs from Biotechnology for Biofuels and Bioproducts
#434
of 1,578 outputs
Outputs of similar age
#72,951
of 275,998 outputs
Outputs of similar age from Biotechnology for Biofuels and Bioproducts
#6
of 37 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd 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 275,998 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 73% of its contemporaries.
We're also able to compare this research output to 37 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.